From bafe0991171e30e1175f883849f92cf784f2519c Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 09:04:09 -0700 Subject: [PATCH 1/8] remove final agg check --- .../apache/spark/sql/comet/operators.scala | 25 +- .../q1.native_datafusion/explain.txt | 317 +++-- .../q1.native_datafusion/extended.txt | 110 +- .../q1.native_datafusion/simplified.txt | 91 +- .../q10.native_datafusion/explain.txt | 30 +- .../q10.native_datafusion/extended.txt | 8 +- .../q10.native_datafusion/simplified.txt | 10 +- .../q10.native_iceberg_compat/explain.txt | 22 +- .../q10.native_iceberg_compat/extended.txt | 8 +- .../q10.native_iceberg_compat/simplified.txt | 10 +- .../approved-plans-v1_4/q10/explain.txt | 22 +- .../approved-plans-v1_4/q10/extended.txt | 8 +- .../approved-plans-v1_4/q10/simplified.txt | 10 +- .../q11.native_datafusion/explain.txt | 643 +++++----- .../q11.native_datafusion/extended.txt | 169 ++- .../q11.native_datafusion/simplified.txt | 188 ++- .../q12.native_datafusion/explain.txt | 116 +- .../q12.native_datafusion/extended.txt | 57 +- .../q12.native_datafusion/simplified.txt | 69 +- .../q13.native_datafusion/explain.txt | 22 +- .../q13.native_datafusion/extended.txt | 6 +- .../q13.native_datafusion/simplified.txt | 6 +- .../q14a.native_datafusion/explain.txt | 745 ++++++------ .../q14a.native_datafusion/extended.txt | 1029 ++++++++--------- .../q14a.native_datafusion/simplified.txt | 409 ++++--- .../q14b.native_datafusion/explain.txt | 643 +++++----- .../q14b.native_datafusion/extended.txt | 449 ++++--- .../q14b.native_datafusion/simplified.txt | 160 ++- .../q15.native_datafusion/explain.txt | 30 +- .../q15.native_datafusion/extended.txt | 8 +- .../q15.native_datafusion/simplified.txt | 10 +- .../q17.native_datafusion/explain.txt | 38 +- .../q17.native_datafusion/extended.txt | 8 +- .../q17.native_datafusion/simplified.txt | 10 +- .../q18.native_datafusion/explain.txt | 30 +- .../q18.native_datafusion/extended.txt | 8 +- .../q18.native_datafusion/simplified.txt | 10 +- .../q20.native_datafusion/explain.txt | 116 +- .../q20.native_datafusion/extended.txt | 57 +- .../q20.native_datafusion/simplified.txt | 69 +- .../q21.native_datafusion/explain.txt | 30 +- .../q21.native_datafusion/extended.txt | 10 +- .../q21.native_datafusion/simplified.txt | 12 +- .../q22.native_datafusion/explain.txt | 30 +- .../q22.native_datafusion/extended.txt | 8 +- .../q22.native_datafusion/simplified.txt | 10 +- .../q23a.native_datafusion/explain.txt | 398 ++++--- .../q23a.native_datafusion/extended.txt | 77 +- .../q23a.native_datafusion/simplified.txt | 83 +- .../q23b.native_datafusion/explain.txt | 492 ++++---- .../q23b.native_datafusion/extended.txt | 77 +- .../q23b.native_datafusion/simplified.txt | 83 +- .../q24a.native_datafusion/explain.txt | 410 ++++--- .../q24a.native_datafusion/extended.txt | 188 ++- .../q24a.native_datafusion/simplified.txt | 176 ++- .../q24a.native_iceberg_compat/explain.txt | 410 ++++--- .../q24a.native_iceberg_compat/extended.txt | 188 ++- .../q24a.native_iceberg_compat/simplified.txt | 176 ++- .../approved-plans-v1_4/q24a/explain.txt | 410 ++++--- .../approved-plans-v1_4/q24a/extended.txt | 188 ++- .../approved-plans-v1_4/q24a/simplified.txt | 176 ++- .../q24b.native_datafusion/explain.txt | 410 ++++--- .../q24b.native_datafusion/extended.txt | 188 ++- .../q24b.native_datafusion/simplified.txt | 176 ++- .../q24b.native_iceberg_compat/explain.txt | 410 ++++--- .../q24b.native_iceberg_compat/extended.txt | 188 ++- .../q24b.native_iceberg_compat/simplified.txt | 176 ++- .../approved-plans-v1_4/q24b/explain.txt | 410 ++++--- .../approved-plans-v1_4/q24b/extended.txt | 188 ++- .../approved-plans-v1_4/q24b/simplified.txt | 176 ++- .../q25.native_datafusion/explain.txt | 38 +- .../q25.native_datafusion/extended.txt | 8 +- .../q25.native_datafusion/simplified.txt | 10 +- .../q26.native_datafusion/explain.txt | 30 +- .../q26.native_datafusion/extended.txt | 8 +- .../q26.native_datafusion/simplified.txt | 10 +- .../q27.native_datafusion/explain.txt | 30 +- .../q27.native_datafusion/extended.txt | 8 +- .../q27.native_datafusion/simplified.txt | 10 +- .../q29.native_datafusion/explain.txt | 46 +- .../q29.native_datafusion/extended.txt | 8 +- .../q29.native_datafusion/simplified.txt | 10 +- .../q30.native_datafusion/explain.txt | 343 +++--- .../q30.native_datafusion/extended.txt | 138 ++- .../q30.native_datafusion/simplified.txt | 99 +- .../q31.native_datafusion/explain.txt | 847 +++++++------- .../q31.native_datafusion/extended.txt | 288 +++-- .../q31.native_datafusion/simplified.txt | 285 +++-- .../q32.native_datafusion/explain.txt | 58 +- .../q32.native_datafusion/extended.txt | 12 +- .../q32.native_datafusion/simplified.txt | 14 +- .../q33.native_datafusion/explain.txt | 461 ++++---- .../q33.native_datafusion/extended.txt | 219 ++-- .../q33.native_datafusion/simplified.txt | 219 ++-- .../q34.native_datafusion/explain.txt | 169 ++- .../q34.native_datafusion/extended.txt | 86 +- .../q34.native_datafusion/simplified.txt | 105 +- .../q35.native_datafusion/explain.txt | 30 +- .../q35.native_datafusion/extended.txt | 8 +- .../q35.native_datafusion/simplified.txt | 10 +- .../q35.native_iceberg_compat/explain.txt | 22 +- .../q35.native_iceberg_compat/extended.txt | 8 +- .../q35.native_iceberg_compat/simplified.txt | 10 +- .../approved-plans-v1_4/q35/explain.txt | 22 +- .../approved-plans-v1_4/q35/extended.txt | 8 +- .../approved-plans-v1_4/q35/simplified.txt | 10 +- .../q36.native_datafusion/explain.txt | 132 +-- .../q36.native_datafusion/extended.txt | 73 +- .../q36.native_datafusion/simplified.txt | 91 +- .../q39a.native_datafusion/explain.txt | 333 +++--- .../q39a.native_datafusion/extended.txt | 142 ++- .../q39a.native_datafusion/simplified.txt | 149 ++- .../q39b.native_datafusion/explain.txt | 333 +++--- .../q39b.native_datafusion/extended.txt | 142 ++- .../q39b.native_datafusion/simplified.txt | 149 ++- .../q4.native_datafusion/explain.txt | 997 ++++++++-------- .../q4.native_datafusion/extended.txt | 263 +++-- .../q4.native_datafusion/simplified.txt | 296 +++-- .../q45.native_datafusion/explain.txt | 30 +- .../q45.native_datafusion/extended.txt | 8 +- .../q45.native_datafusion/simplified.txt | 10 +- .../q45.native_iceberg_compat/explain.txt | 22 +- .../q45.native_iceberg_compat/extended.txt | 8 +- .../q45.native_iceberg_compat/simplified.txt | 10 +- .../approved-plans-v1_4/q45/explain.txt | 22 +- .../approved-plans-v1_4/q45/extended.txt | 8 +- .../approved-plans-v1_4/q45/simplified.txt | 10 +- .../q46.native_datafusion/explain.txt | 200 ++-- .../q46.native_datafusion/extended.txt | 104 +- .../q46.native_datafusion/simplified.txt | 35 +- .../q47.native_datafusion/explain.txt | 278 +++-- .../q47.native_datafusion/extended.txt | 191 ++- .../q47.native_datafusion/simplified.txt | 102 +- .../q48.native_datafusion/explain.txt | 22 +- .../q48.native_datafusion/extended.txt | 6 +- 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.../approved-plans-v1_4/q69/simplified.txt | 10 +- .../q7.native_datafusion/explain.txt | 30 +- .../q7.native_datafusion/extended.txt | 8 +- .../q7.native_datafusion/simplified.txt | 10 +- .../q70.native_datafusion/explain.txt | 220 ++-- .../q70.native_datafusion/extended.txt | 115 +- .../q70.native_datafusion/simplified.txt | 139 ++- .../q70.native_iceberg_compat/explain.txt | 156 ++- .../q70.native_iceberg_compat/extended.txt | 107 +- .../q70.native_iceberg_compat/simplified.txt | 129 +-- .../approved-plans-v1_4/q70/explain.txt | 156 ++- .../approved-plans-v1_4/q70/extended.txt | 107 +- .../approved-plans-v1_4/q70/simplified.txt | 129 +-- .../q71.native_datafusion/explain.txt | 136 ++- .../q71.native_datafusion/extended.txt | 117 +- .../q71.native_datafusion/simplified.txt | 129 +-- .../q73.native_datafusion/explain.txt | 169 ++- .../q73.native_datafusion/extended.txt | 86 +- .../q73.native_datafusion/simplified.txt | 105 +- .../q74.native_datafusion/explain.txt | 633 +++++----- .../q74.native_datafusion/extended.txt | 167 ++- .../q74.native_datafusion/simplified.txt | 186 ++- .../q77.native_datafusion/explain.txt | 744 ++++++------ .../q77.native_datafusion/extended.txt | 130 +-- .../q77.native_datafusion/simplified.txt | 132 +-- .../q77.native_iceberg_compat/explain.txt | 22 +- .../q77.native_iceberg_compat/extended.txt | 8 +- .../q77.native_iceberg_compat/simplified.txt | 10 +- .../approved-plans-v1_4/q77/explain.txt | 22 +- .../approved-plans-v1_4/q77/extended.txt | 8 +- .../approved-plans-v1_4/q77/simplified.txt | 10 +- .../q79.native_datafusion/explain.txt | 149 ++- .../q79.native_datafusion/extended.txt | 79 +- .../q79.native_datafusion/simplified.txt | 26 +- .../q8.native_datafusion/explain.txt | 30 +- .../q8.native_datafusion/extended.txt | 8 +- .../q8.native_datafusion/simplified.txt | 10 +- .../q81.native_datafusion/explain.txt | 343 +++--- .../q81.native_datafusion/extended.txt | 138 ++- .../q81.native_datafusion/simplified.txt | 99 +- .../q83.native_datafusion/explain.txt | 538 +++++---- .../q83.native_datafusion/extended.txt | 198 ++-- .../q83.native_datafusion/simplified.txt | 112 +- .../q85.native_datafusion/explain.txt | 30 +- .../q85.native_datafusion/extended.txt | 8 +- .../q85.native_datafusion/simplified.txt | 10 +- .../q86.native_datafusion/explain.txt | 118 +- .../q86.native_datafusion/extended.txt | 59 +- .../q86.native_datafusion/simplified.txt | 71 +- .../q87.native_datafusion/explain.txt | 22 +- .../q87.native_datafusion/extended.txt | 6 +- .../q87.native_datafusion/simplified.txt | 6 +- .../q87.native_iceberg_compat/explain.txt | 14 +- .../q87.native_iceberg_compat/extended.txt | 6 +- .../q87.native_iceberg_compat/simplified.txt | 6 +- .../approved-plans-v1_4/q87/explain.txt | 14 +- .../approved-plans-v1_4/q87/extended.txt | 6 +- .../approved-plans-v1_4/q87/simplified.txt | 6 +- .../q89.native_datafusion/explain.txt | 136 ++- .../q89.native_datafusion/extended.txt | 69 +- 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.../approved-plans-v2_7/q51a/extended.txt | 374 +++--- .../approved-plans-v2_7/q51a/simplified.txt | 152 ++- .../apache/comet/exec/CometExecSuite.scala | 4 +- 278 files changed, 18290 insertions(+), 19676 deletions(-) diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala index 0a435e5b7a..e96ffa4fd7 100644 --- a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala +++ b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala @@ -1064,14 +1064,9 @@ trait CometBaseAggregate { builder: Operator.Builder, childOp: OperatorOuterClass.Operator*): Option[OperatorOuterClass.Operator] = { - val modes = aggregate.aggregateExpressions.map(_.mode).distinct // In distinct aggregates there can be a combination of modes - val multiMode = modes.size > 1 - // For a final mode HashAggregate, we only need to transform the HashAggregate - // if there is Comet partial aggregation. - val sparkFinalMode = modes.contains(Final) && findCometPartialAgg(aggregate.child).isEmpty - - if (multiMode || sparkFinalMode) { + val modes = aggregate.aggregateExpressions.map(_.mode).distinct + if (modes.size > 1) { return None } @@ -1209,22 +1204,6 @@ trait CometBaseAggregate { } - /** - * Find the first Comet partial aggregate in the plan. If it reaches a Spark HashAggregate with - * partial mode, it will return None. - */ - private def findCometPartialAgg(plan: SparkPlan): Option[CometHashAggregateExec] = { - plan.collectFirst { - case agg: CometHashAggregateExec if agg.aggregateExpressions.forall(_.mode == Partial) => - Some(agg) - case agg: HashAggregateExec if agg.aggregateExpressions.forall(_.mode == Partial) => None - case agg: ObjectHashAggregateExec if agg.aggregateExpressions.forall(_.mode == Partial) => - None - case a: AQEShuffleReadExec => findCometPartialAgg(a.child) - case s: ShuffleQueryStageExec => findCometPartialAgg(s.plan) - }.flatten - } - } object CometHashAggregateExec diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/explain.txt index 5943563361..9502835f3e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/explain.txt @@ -1,48 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * Project (43) - +- * BroadcastHashJoin Inner BuildRight (42) - :- * Project (36) - : +- * BroadcastHashJoin Inner BuildRight (35) - : :- * Project (29) - : : +- * BroadcastHashJoin Inner BuildRight (28) - : : :- * Filter (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (27) - : : +- * Filter (26) - : : +- * HashAggregate (25) - : : +- * CometColumnarToRow (24) - : : +- CometColumnarExchange (23) - : : +- * HashAggregate (22) - : : +- * HashAggregate (21) - : : +- * CometColumnarToRow (20) - : : +- CometColumnarExchange (19) - : : +- * HashAggregate (18) - : : +- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.store_returns (12) - : : +- ReusedExchange (15) - : +- BroadcastExchange (34) - : +- * CometColumnarToRow (33) - : +- CometProject (32) - : +- CometFilter (31) - : +- CometNativeScan parquet spark_catalog.default.store (30) - +- BroadcastExchange (41) - +- * CometColumnarToRow (40) - +- CometProject (39) - +- CometFilter (38) - +- CometNativeScan parquet spark_catalog.default.customer (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometProject (38) + +- CometBroadcastHashJoin (37) + :- CometProject (32) + : +- CometBroadcastHashJoin (31) + : :- CometProject (26) + : : +- CometBroadcastHashJoin (25) + : : :- CometFilter (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- ReusedExchange (4) + : : +- CometBroadcastExchange (24) + : : +- CometFilter (23) + : : +- CometHashAggregate (22) + : : +- CometExchange (21) + : : +- CometHashAggregate (20) + : : +- CometHashAggregate (19) + : : +- CometColumnarExchange (18) + : : +- * HashAggregate (17) + : : +- * Project (16) + : : +- * BroadcastHashJoin Inner BuildRight (15) + : : :- * Filter (13) + : : : +- * ColumnarToRow (12) + : : : +- Scan parquet spark_catalog.default.store_returns (11) + : : +- ReusedExchange (14) + : +- CometBroadcastExchange (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.store (27) + +- CometBroadcastExchange (36) + +- CometProject (35) + +- CometFilter (34) + +- CometNativeScan parquet spark_catalog.default.customer (33) (1) Scan parquet spark_catalog.default.store_returns @@ -60,7 +56,7 @@ Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_s Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] Condition : (isnotnull(sr_store_sk#2) AND isnotnull(sr_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 49] +(4) ReusedExchange [Reuses operator id: 45] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 2] @@ -84,21 +80,16 @@ Results [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Arguments: hashpartitioning(sr_customer_sk#1, sr_store_sk#2, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 9] -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] - -(10) HashAggregate [codegen id : 9] +(9) CometHashAggregate Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Keys [2]: [sr_customer_sk#1, sr_store_sk#2] Functions [1]: [sum(UnscaledValue(sr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#3))#9] -Results [3]: [sr_customer_sk#1 AS ctr_customer_sk#10, sr_store_sk#2 AS ctr_store_sk#11, MakeDecimal(sum(UnscaledValue(sr_return_amt#3))#9,17,2) AS ctr_total_return#12] -(11) Filter [codegen id : 9] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12] -Condition : isnotnull(ctr_total_return#12) +(10) CometFilter +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Condition : isnotnull(ctr_total_return#11) -(12) Scan parquet spark_catalog.default.store_returns +(11) Scan parquet spark_catalog.default.store_returns Output [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] Batched: true Location: InMemoryFileIndex [] @@ -106,186 +97,168 @@ PartitionFilters: [isnotnull(sr_returned_date_sk#4), dynamicpruningexpression(sr PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(13) ColumnarToRow [codegen id : 4] +(12) ColumnarToRow [codegen id : 4] Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] -(14) Filter [codegen id : 4] +(13) Filter [codegen id : 4] Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] Condition : isnotnull(sr_store_sk#2) -(15) ReusedExchange [Reuses operator id: 49] +(14) ReusedExchange [Reuses operator id: 45] Output [1]: [d_date_sk#6] -(16) BroadcastHashJoin [codegen id : 4] +(15) BroadcastHashJoin [codegen id : 4] Left keys [1]: [sr_returned_date_sk#4] Right keys [1]: [d_date_sk#6] Join type: Inner Join condition: None -(17) Project [codegen id : 4] +(16) Project [codegen id : 4] Output [3]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3] Input [5]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4, d_date_sk#6] -(18) HashAggregate [codegen id : 4] +(17) HashAggregate [codegen id : 4] Input [3]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3] Keys [2]: [sr_customer_sk#1, sr_store_sk#2] Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#3))] -Aggregate Attributes [1]: [sum#13] -Results [3]: [sr_customer_sk#1, sr_store_sk#2, sum#14] +Aggregate Attributes [1]: [sum#12] +Results [3]: [sr_customer_sk#1, sr_store_sk#2, sum#13] -(19) CometColumnarExchange -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#14] +(18) CometColumnarExchange +Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#13] Arguments: hashpartitioning(sr_customer_sk#1, sr_store_sk#2, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(20) CometColumnarToRow [codegen id : 5] -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#14] - -(21) HashAggregate [codegen id : 5] -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#14] +(19) CometHashAggregate +Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#13] Keys [2]: [sr_customer_sk#1, sr_store_sk#2] Functions [1]: [sum(UnscaledValue(sr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#3))#9] -Results [2]: [sr_store_sk#2 AS ctr_store_sk#11, MakeDecimal(sum(UnscaledValue(sr_return_amt#3))#9,17,2) AS ctr_total_return#12] - -(22) HashAggregate [codegen id : 5] -Input [2]: [ctr_store_sk#11, ctr_total_return#12] -Keys [1]: [ctr_store_sk#11] -Functions [1]: [partial_avg(ctr_total_return#12)] -Aggregate Attributes [2]: [sum#15, count#16] -Results [3]: [ctr_store_sk#11, sum#17, count#18] - -(23) CometColumnarExchange -Input [3]: [ctr_store_sk#11, sum#17, count#18] -Arguments: hashpartitioning(ctr_store_sk#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(24) CometColumnarToRow [codegen id : 6] -Input [3]: [ctr_store_sk#11, sum#17, count#18] - -(25) HashAggregate [codegen id : 6] -Input [3]: [ctr_store_sk#11, sum#17, count#18] -Keys [1]: [ctr_store_sk#11] -Functions [1]: [avg(ctr_total_return#12)] -Aggregate Attributes [1]: [avg(ctr_total_return#12)#19] -Results [2]: [(avg(ctr_total_return#12)#19 * 1.2) AS (avg(ctr_total_return) * 1.2)#20, ctr_store_sk#11 AS ctr_store_sk#11#21] - -(26) Filter [codegen id : 6] -Input [2]: [(avg(ctr_total_return) * 1.2)#20, ctr_store_sk#11#21] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#20) - -(27) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#20, ctr_store_sk#11#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=4] - -(28) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [ctr_store_sk#11#21] -Join type: Inner -Join condition: (cast(ctr_total_return#12 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#20) -(29) Project [codegen id : 9] -Output [2]: [ctr_customer_sk#10, ctr_store_sk#11] -Input [5]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12, (avg(ctr_total_return) * 1.2)#20, ctr_store_sk#11#21] +(20) CometHashAggregate +Input [2]: [ctr_store_sk#10, ctr_total_return#11] +Keys [1]: [ctr_store_sk#10] +Functions [1]: [partial_avg(ctr_total_return#11)] + +(21) CometExchange +Input [3]: [ctr_store_sk#10, sum#14, count#15] +Arguments: hashpartitioning(ctr_store_sk#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(22) CometHashAggregate +Input [3]: [ctr_store_sk#10, sum#14, count#15] +Keys [1]: [ctr_store_sk#10] +Functions [1]: [avg(ctr_total_return#11)] + +(23) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#16, ctr_store_sk#10#17] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#16) + +(24) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#16, ctr_store_sk#10#17] +Arguments: [(avg(ctr_total_return) * 1.2)#16, ctr_store_sk#10#17] + +(25) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Right output [2]: [(avg(ctr_total_return) * 1.2)#16, ctr_store_sk#10#17] +Arguments: [ctr_store_sk#10], [ctr_store_sk#10#17], Inner, (cast(ctr_total_return#11 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#16), BuildRight -(30) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#22, s_state#23] +(26) CometProject +Input [5]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11, (avg(ctr_total_return) * 1.2)#16, ctr_store_sk#10#17] +Arguments: [ctr_customer_sk#9, ctr_store_sk#10], [ctr_customer_sk#9, ctr_store_sk#10] + +(27) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#18, s_state#19] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_store_sk)] ReadSchema: struct -(31) CometFilter -Input [2]: [s_store_sk#22, s_state#23] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#23, 2, true, false, true) = TN) AND isnotnull(s_store_sk#22)) - -(32) CometProject -Input [2]: [s_store_sk#22, s_state#23] -Arguments: [s_store_sk#22], [s_store_sk#22] +(28) CometFilter +Input [2]: [s_store_sk#18, s_state#19] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#19, 2, true, false, true) = TN) AND isnotnull(s_store_sk#18)) -(33) CometColumnarToRow [codegen id : 7] -Input [1]: [s_store_sk#22] +(29) CometProject +Input [2]: [s_store_sk#18, s_state#19] +Arguments: [s_store_sk#18], [s_store_sk#18] -(34) BroadcastExchange -Input [1]: [s_store_sk#22] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(30) CometBroadcastExchange +Input [1]: [s_store_sk#18] +Arguments: [s_store_sk#18] -(35) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [s_store_sk#22] -Join type: Inner -Join condition: None +(31) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#9, ctr_store_sk#10] +Right output [1]: [s_store_sk#18] +Arguments: [ctr_store_sk#10], [s_store_sk#18], Inner, BuildRight -(36) Project [codegen id : 9] -Output [1]: [ctr_customer_sk#10] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, s_store_sk#22] +(32) CometProject +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, s_store_sk#18] +Arguments: [ctr_customer_sk#9], [ctr_customer_sk#9] -(37) CometNativeScan parquet spark_catalog.default.customer -Output [2]: [c_customer_sk#24, c_customer_id#25] +(33) CometNativeScan parquet spark_catalog.default.customer +Output [2]: [c_customer_sk#20, c_customer_id#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(38) CometFilter -Input [2]: [c_customer_sk#24, c_customer_id#25] -Condition : isnotnull(c_customer_sk#24) +(34) CometFilter +Input [2]: [c_customer_sk#20, c_customer_id#21] +Condition : isnotnull(c_customer_sk#20) -(39) CometProject -Input [2]: [c_customer_sk#24, c_customer_id#25] -Arguments: [c_customer_sk#24, c_customer_id#26], [c_customer_sk#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#25, 16, true, false, true) AS c_customer_id#26] +(35) CometProject +Input [2]: [c_customer_sk#20, c_customer_id#21] +Arguments: [c_customer_sk#20, c_customer_id#22], [c_customer_sk#20, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#21, 16, true, false, true) AS c_customer_id#22] -(40) CometColumnarToRow [codegen id : 8] -Input [2]: [c_customer_sk#24, c_customer_id#26] +(36) CometBroadcastExchange +Input [2]: [c_customer_sk#20, c_customer_id#22] +Arguments: [c_customer_sk#20, c_customer_id#22] -(41) BroadcastExchange -Input [2]: [c_customer_sk#24, c_customer_id#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(37) CometBroadcastHashJoin +Left output [1]: [ctr_customer_sk#9] +Right output [2]: [c_customer_sk#20, c_customer_id#22] +Arguments: [ctr_customer_sk#9], [c_customer_sk#20], Inner, BuildRight -(42) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_customer_sk#10] -Right keys [1]: [c_customer_sk#24] -Join type: Inner -Join condition: None +(38) CometProject +Input [3]: [ctr_customer_sk#9, c_customer_sk#20, c_customer_id#22] +Arguments: [c_customer_id#22], [c_customer_id#22] -(43) Project [codegen id : 9] -Output [1]: [c_customer_id#26] -Input [3]: [ctr_customer_sk#10, c_customer_sk#24, c_customer_id#26] +(39) CometTakeOrderedAndProject +Input [1]: [c_customer_id#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#22 ASC NULLS FIRST], output=[c_customer_id#22]), [c_customer_id#22], 100, 0, [c_customer_id#22 ASC NULLS FIRST], [c_customer_id#22] -(44) TakeOrderedAndProject -Input [1]: [c_customer_id#26] -Arguments: 100, [c_customer_id#26 ASC NULLS FIRST], [c_customer_id#26] +(40) CometColumnarToRow [codegen id : 5] +Input [1]: [c_customer_id#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (49) -+- * CometColumnarToRow (48) - +- CometProject (47) - +- CometFilter (46) - +- CometNativeScan parquet spark_catalog.default.date_dim (45) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(45) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#27] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(46) CometFilter -Input [2]: [d_date_sk#6, d_year#27] -Condition : ((isnotnull(d_year#27) AND (d_year#27 = 2000)) AND isnotnull(d_date_sk#6)) +(42) CometFilter +Input [2]: [d_date_sk#6, d_year#23] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2000)) AND isnotnull(d_date_sk#6)) -(47) CometProject -Input [2]: [d_date_sk#6, d_year#27] +(43) CometProject +Input [2]: [d_date_sk#6, d_year#23] Arguments: [d_date_sk#6], [d_date_sk#6] -(48) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(49) BroadcastExchange +(45) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 12 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 11 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/extended.txt index 0622aad9d5..8c1fba02de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/extended.txt @@ -1,61 +1,57 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 49 eligible operators (36%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 49 eligible operators (69%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/simplified.txt index b45596c7a2..397f0b9a8c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q1.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id] - WholeStageCodegen (9) - Project [c_customer_id] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk] - BroadcastHashJoin [ctr_store_sk,s_store_sk] - Project [ctr_customer_sk,ctr_store_sk] - BroadcastHashJoin [ctr_store_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_customer_sk,ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id] + CometProject [c_customer_id] + CometBroadcastHashJoin [ctr_customer_sk,c_customer_sk,c_customer_id] + CometProject [ctr_customer_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,s_store_sk] + CometProject [ctr_customer_sk,ctr_store_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometFilter [ctr_customer_sk,ctr_store_sk,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_store_sk,ctr_total_return,sr_customer_sk,sr_store_sk,sum(UnscaledValue(sr_return_amt))] CometColumnarExchange [sr_customer_sk,sr_store_sk] #1 WholeStageCodegen (2) HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] @@ -29,44 +29,29 @@ TakeOrderedAndProject [c_customer_id] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (6) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_store_sk,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),ctr_store_sk,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_store_sk] #4 - WholeStageCodegen (5) - HashAggregate [ctr_store_sk,ctr_total_return] [sum,count,sum,count] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 - WholeStageCodegen (4) - HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] - Project [sr_customer_sk,sr_store_sk,sr_return_amt] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id] [c_customer_sk,c_customer_id] - CometFilter [c_customer_sk,c_customer_id] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_store_sk] #3 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_store_sk,avg(ctr_total_return),ctr_store_sk] + CometExchange [ctr_store_sk] #4 + CometHashAggregate [ctr_total_return] [ctr_store_sk,sum,count] + CometHashAggregate [sr_customer_sk,sum] [ctr_store_sk,ctr_total_return,sr_store_sk,sum(UnscaledValue(sr_return_amt))] + CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 + WholeStageCodegen (4) + HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] + Project [sr_customer_sk,sr_store_sk,sr_return_amt] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [s_store_sk] #6 + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometBroadcastExchange [c_customer_sk,c_customer_id] #7 + CometProject [c_customer_id] [c_customer_sk,c_customer_id] + CometFilter [c_customer_sk,c_customer_id] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/explain.txt index a603d43983..b0084dcabc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [9]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_pur Input [9]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_purchase_estimate#20, cd_credit_rating#28, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#30] Arguments: hashpartitioning(cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_purchase_estimate#20, cd_credit_rating#28, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_purchase_estimate#20, cd_credit_rating#28, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#30] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [9]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_purchase_estimate#20, cd_credit_rating#28, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#30] Keys [8]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cd_purchase_estimate#20, cd_credit_rating#28, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#31] -Results [14]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, count(1)#31 AS cnt1#32, cd_purchase_estimate#20, count(1)#31 AS cnt2#33, cd_credit_rating#28, count(1)#31 AS cnt3#34, cd_dep_count#22, count(1)#31 AS cnt4#35, cd_dep_employed_count#23, count(1)#31 AS cnt5#36, cd_dep_college_count#24, count(1)#31 AS cnt6#37] -(45) TakeOrderedAndProject -Input [14]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#32, cd_purchase_estimate#20, cnt2#33, cd_credit_rating#28, cnt3#34, cd_dep_count#22, cnt4#35, cd_dep_employed_count#23, cnt5#36, cd_dep_college_count#24, cnt6#37] -Arguments: 100, [cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_education_status#27 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#28 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#32, cd_purchase_estimate#20, cnt2#33, cd_credit_rating#28, cnt3#34, cd_dep_count#22, cnt4#35, cd_dep_employed_count#23, cnt5#36, cd_dep_college_count#24, cnt6#37] +(44) CometTakeOrderedAndProject +Input [14]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#31, cd_purchase_estimate#20, cnt2#32, cd_credit_rating#28, cnt3#33, cd_dep_count#22, cnt4#34, cd_dep_employed_count#23, cnt5#35, cd_dep_college_count#24, cnt6#36] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_education_status#27 ASC NULLS FIRST,cd_purchase_estimate#20 ASC NULLS FIRST,cd_credit_rating#28 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[cd_gender#25,cd_marital_status#26,cd_education_status#27,cnt1#31,cd_purchase_estimate#20,cnt2#32,cd_credit_rating#28,cnt3#33,cd_dep_count#22,cnt4#34,cd_dep_employed_count#23,cnt5#35,cd_dep_college_count#24,cnt6#36]), [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#31, cd_purchase_estimate#20, cnt2#32, cd_credit_rating#28, cnt3#33, cd_dep_count#22, cnt4#34, cd_dep_employed_count#23, cnt5#35, cd_dep_college_count#24, cnt6#36], 100, 0, [cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_education_status#27 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#28 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#31, cd_purchase_estimate#20, cnt2#32, cd_credit_rating#28, cnt3#33, cd_dep_count#22, cnt4#34, cd_dep_employed_count#23, cnt5#35, cd_dep_college_count#24, cnt6#36] + +(45) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#25, cd_marital_status#26, cd_education_status#27, cnt1#31, cd_purchase_estimate#20, cnt2#32, cd_credit_rating#28, cnt3#33, cd_dep_count#22, cnt4#34, cd_dep_employed_count#23, cnt5#35, cd_dep_college_count#24, cnt6#36] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#38, d_moy#39] +Output [3]: [d_date_sk#9, d_year#37, d_moy#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,1), LessThanOrEqual(d_moy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#38, d_moy#39] -Condition : (((((isnotnull(d_year#38) AND isnotnull(d_moy#39)) AND (d_year#38 = 2002)) AND (d_moy#39 >= 1)) AND (d_moy#39 <= 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#37, d_moy#38] +Condition : (((((isnotnull(d_year#37) AND isnotnull(d_moy#38)) AND (d_year#37 = 2002)) AND (d_moy#38 >= 1)) AND (d_moy#38 <= 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#38, d_moy#39] +Input [3]: [d_date_sk#9, d_year#37, d_moy#38] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/simplified.txt index 0cc108b0b0..1ccf12847e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/explain.txt index 28df28d9a7..b84f334556 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_pur Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] Arguments: hashpartitioning(cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] Keys [8]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#35] -Results [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, count(1)#35 AS cnt1#36, cd_purchase_estimate#24, count(1)#35 AS cnt2#37, cd_credit_rating#32, count(1)#35 AS cnt3#38, cd_dep_count#26, count(1)#35 AS cnt4#39, cd_dep_employed_count#27, count(1)#35 AS cnt5#40, cd_dep_college_count#28, count(1)#35 AS cnt6#41] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#36, cd_purchase_estimate#24, cnt2#37, cd_credit_rating#32, cnt3#38, cd_dep_count#26, cnt4#39, cd_dep_employed_count#27, cnt5#40, cd_dep_college_count#28, cnt6#41] -Arguments: 100, [cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_education_status#31 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#32 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#36, cd_purchase_estimate#24, cnt2#37, cd_credit_rating#32, cnt3#38, cd_dep_count#26, cnt4#39, cd_dep_employed_count#27, cnt5#40, cd_dep_college_count#28, cnt6#41] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_education_status#31 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#32 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[cd_gender#29,cd_marital_status#30,cd_education_status#31,cnt1#35,cd_purchase_estimate#24,cnt2#36,cd_credit_rating#32,cnt3#37,cd_dep_count#26,cnt4#38,cd_dep_employed_count#27,cnt5#39,cd_dep_college_count#28,cnt6#40]), [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40], 100, 0, [cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_education_status#31 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#32 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/explain.txt index 28df28d9a7..b84f334556 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_pur Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] Arguments: hashpartitioning(cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#34] Keys [8]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cd_purchase_estimate#24, cd_credit_rating#32, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#35] -Results [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, count(1)#35 AS cnt1#36, cd_purchase_estimate#24, count(1)#35 AS cnt2#37, cd_credit_rating#32, count(1)#35 AS cnt3#38, cd_dep_count#26, count(1)#35 AS cnt4#39, cd_dep_employed_count#27, count(1)#35 AS cnt5#40, cd_dep_college_count#28, count(1)#35 AS cnt6#41] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#36, cd_purchase_estimate#24, cnt2#37, cd_credit_rating#32, cnt3#38, cd_dep_count#26, cnt4#39, cd_dep_employed_count#27, cnt5#40, cd_dep_college_count#28, cnt6#41] -Arguments: 100, [cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_education_status#31 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#32 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#36, cd_purchase_estimate#24, cnt2#37, cd_credit_rating#32, cnt3#38, cd_dep_count#26, cnt4#39, cd_dep_employed_count#27, cnt5#40, cd_dep_college_count#28, cnt6#41] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_education_status#31 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#32 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[cd_gender#29,cd_marital_status#30,cd_education_status#31,cnt1#35,cd_purchase_estimate#24,cnt2#36,cd_credit_rating#32,cnt3#37,cd_dep_count#26,cnt4#38,cd_dep_employed_count#27,cnt5#39,cd_dep_college_count#28,cnt6#40]), [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40], 100, 0, [cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_education_status#31 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#32 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#29, cd_marital_status#30, cd_education_status#31, cnt1#35, cd_purchase_estimate#24, cnt2#36, cd_credit_rating#32, cnt3#37, cd_dep_count#26, cnt4#38, cd_dep_employed_count#27, cnt5#39, cd_dep_college_count#28, cnt6#40] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q10/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/explain.txt index d697d27f18..6252fff5e3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/explain.txt @@ -1,84 +1,81 @@ == Physical Plan == -TakeOrderedAndProject (80) -+- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (59) - : +- * BroadcastHashJoin Inner BuildRight (58) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (57) - : +- * Filter (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (48) - : : +- * BroadcastHashJoin Inner BuildRight (47) - : : :- * CometColumnarToRow (42) - : : : +- CometProject (41) - : : : +- CometFilter (40) - : : : +- CometNativeScan parquet spark_catalog.default.customer (39) - : : +- BroadcastExchange (46) - : : +- * Filter (45) - : : +- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.web_sales (43) - : +- ReusedExchange (49) - +- BroadcastExchange (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * CometColumnarToRow (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.customer (60) - : +- BroadcastExchange (67) - : +- * Filter (66) - : +- * ColumnarToRow (65) - : +- Scan parquet spark_catalog.default.web_sales (64) - +- ReusedExchange (70) +* CometColumnarToRow (77) ++- CometTakeOrderedAndProject (76) + +- CometProject (75) + +- CometBroadcastHashJoin (74) + :- CometProject (56) + : +- CometBroadcastHashJoin (55) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (54) + : +- CometFilter (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * CometColumnarToRow (40) + : : : +- CometProject (39) + : : : +- CometFilter (38) + : : : +- CometNativeScan parquet spark_catalog.default.customer (37) + : : +- BroadcastExchange (44) + : : +- * Filter (43) + : : +- * ColumnarToRow (42) + : : +- Scan parquet spark_catalog.default.web_sales (41) + : +- ReusedExchange (47) + +- CometBroadcastExchange (73) + +- CometHashAggregate (72) + +- CometColumnarExchange (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- * Project (66) + : +- * BroadcastHashJoin Inner BuildRight (65) + : :- * CometColumnarToRow (60) + : : +- CometProject (59) + : : +- CometFilter (58) + : : +- CometNativeScan parquet spark_catalog.default.customer (57) + : +- BroadcastExchange (64) + : +- * Filter (63) + : +- * ColumnarToRow (62) + : +- Scan parquet spark_catalog.default.web_sales (61) + +- ReusedExchange (67) (1) CometNativeScan parquet spark_catalog.default.customer @@ -128,7 +125,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 84] +(11) ReusedExchange [Reuses operator id: 81] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -152,367 +149,347 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14], [c_customer_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#31, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#33, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#34, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14], [c_customer_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#28, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#29, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#30, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#32, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#33, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#38), dynamicpruningexpression(ss_sold_date_sk#38 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ss_sold_date_sk#37), dynamicpruningexpression(ss_sold_date_sk#37 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Condition : isnotnull(ss_customer_sk#35) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Condition : isnotnull(ss_customer_sk#34) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#35] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#34] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Input [12]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] - -(29) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#40, d_year#41] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Input [12]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#38] -Right keys [1]: [d_date_sk#40] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#39, d_year#40] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38, d_date_sk#40, d_year#41] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum#42] -Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24] -Results [3]: [c_customer_id#9 AS customer_id#44, c_preferred_cust_flag#12 AS customer_preferred_cust_flag#45, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24,18,2) AS year_total#46] - -(36) BroadcastExchange -Input [3]: [customer_id#44, customer_preferred_cust_flag#45, year_total#46] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#44] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#37] +Right keys [1]: [d_date_sk#39] Join type: Inner Join condition: None -(38) Project [codegen id : 16] -Output [4]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46] -Input [5]: [customer_id#25, year_total#26, customer_id#44, customer_preferred_cust_flag#45, year_total#46] - -(39) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37, d_date_sk#39, d_year#40] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] +Aggregate Attributes [1]: [sum#41] +Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] + +(34) CometBroadcastExchange +Input [3]: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [3]: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#24], [customer_id#43], Inner, BuildRight + +(36) CometProject +Input [5]: [customer_id#24, year_total#25, customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45], [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(40) CometFilter -Input [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] -Condition : (isnotnull(c_customer_sk#47) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#48, 16, true, false, true))) +(38) CometFilter +Input [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] +Condition : (isnotnull(c_customer_sk#46) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#47, 16, true, false, true))) -(41) CometProject -Input [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] -Arguments: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60], [c_customer_sk#47, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#48, 16, true, false, true) AS c_customer_id#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#49, 20, true, false, true) AS c_first_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#50, 30, true, false, true) AS c_last_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#51, 1, true, false, true) AS c_preferred_cust_flag#58, c_birth_country#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#53, 13, true, false, true) AS c_login#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#54, 50, true, false, true) AS c_email_address#60] +(39) CometProject +Input [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] +Arguments: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59], [c_customer_sk#46, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#47, 16, true, false, true) AS c_customer_id#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#48, 20, true, false, true) AS c_first_name#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#49, 30, true, false, true) AS c_last_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#50, 1, true, false, true) AS c_preferred_cust_flag#57, c_birth_country#51, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#52, 13, true, false, true) AS c_login#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#53, 50, true, false, true) AS c_email_address#59] -(42) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60] +(40) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59] -(43) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(41) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#64), dynamicpruningexpression(ws_sold_date_sk#64 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#63), dynamicpruningexpression(ws_sold_date_sk#63 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(42) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] -(45) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Condition : isnotnull(ws_bill_customer_sk#61) +(43) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Condition : isnotnull(ws_bill_customer_sk#60) -(46) BroadcastExchange -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(44) BroadcastExchange +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(47) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#47] -Right keys [1]: [ws_bill_customer_sk#61] +(45) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#46] +Right keys [1]: [ws_bill_customer_sk#60] Join type: Inner Join condition: None -(48) Project [codegen id : 10] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Input [12]: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(46) Project [codegen id : 9] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Input [12]: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] -(49) ReusedExchange [Reuses operator id: 84] -Output [2]: [d_date_sk#65, d_year#66] +(47) ReusedExchange [Reuses operator id: 81] +Output [2]: [d_date_sk#64, d_year#65] -(50) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#64] -Right keys [1]: [d_date_sk#65] +(48) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#63] +Right keys [1]: [d_date_sk#64] Join type: Inner Join condition: None -(51) Project [codegen id : 10] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, d_year#66] -Input [12]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64, d_date_sk#65, d_year#66] - -(52) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, d_year#66] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))] -Aggregate Attributes [1]: [sum#67] -Results [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] - -(53) CometColumnarExchange -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] -Arguments: hashpartitioning(c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(54) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] - -(55) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))#69] -Results [2]: [c_customer_id#55 AS customer_id#70, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))#69,18,2) AS year_total#71] - -(56) Filter [codegen id : 11] -Input [2]: [customer_id#70, year_total#71] -Condition : (isnotnull(year_total#71) AND (year_total#71 > 0.00)) - -(57) BroadcastExchange -Input [2]: [customer_id#70, year_total#71] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(58) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#70] -Join type: Inner -Join condition: None - -(59) Project [codegen id : 16] -Output [5]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, year_total#71] -Input [6]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, customer_id#70, year_total#71] - -(60) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +(49) Project [codegen id : 9] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, d_year#65] +Input [12]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63, d_date_sk#64, d_year#65] + +(50) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, d_year#65] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#62 - ws_ext_discount_amt#61)))] +Aggregate Attributes [1]: [sum#66] +Results [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] + +(51) CometColumnarExchange +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] +Arguments: hashpartitioning(c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#62 - ws_ext_discount_amt#61)))] + +(53) CometFilter +Input [2]: [customer_id#68, year_total#69] +Condition : (isnotnull(year_total#69) AND (year_total#69 > 0.00)) + +(54) CometBroadcastExchange +Input [2]: [customer_id#68, year_total#69] +Arguments: [customer_id#68, year_total#69] + +(55) CometBroadcastHashJoin +Left output [4]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45] +Right output [2]: [customer_id#68, year_total#69] +Arguments: [customer_id#24], [customer_id#68], Inner, BuildRight + +(56) CometProject +Input [6]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, customer_id#68, year_total#69] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69], [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69] + +(57) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(61) CometFilter -Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] -Condition : (isnotnull(c_customer_sk#72) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true))) +(58) CometFilter +Input [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] +Condition : (isnotnull(c_customer_sk#70) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#71, 16, true, false, true))) -(62) CometProject -Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] -Arguments: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60], [c_customer_sk#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true) AS c_customer_id#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#74, 20, true, false, true) AS c_first_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#75, 30, true, false, true) AS c_last_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#76, 1, true, false, true) AS c_preferred_cust_flag#58, c_birth_country#77, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#78, 13, true, false, true) AS c_login#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#79, 50, true, false, true) AS c_email_address#60] +(59) CometProject +Input [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] +Arguments: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59], [c_customer_sk#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#71, 16, true, false, true) AS c_customer_id#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#72, 20, true, false, true) AS c_first_name#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#73, 30, true, false, true) AS c_last_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#74, 1, true, false, true) AS c_preferred_cust_flag#57, c_birth_country#75, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#76, 13, true, false, true) AS c_login#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#77, 50, true, false, true) AS c_email_address#59] -(63) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60] +(60) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59] -(64) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(61) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#83), dynamicpruningexpression(ws_sold_date_sk#83 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ws_sold_date_sk#81), dynamicpruningexpression(ws_sold_date_sk#81 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(65) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(62) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] -(66) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Condition : isnotnull(ws_bill_customer_sk#80) +(63) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Condition : isnotnull(ws_bill_customer_sk#78) -(67) BroadcastExchange -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(64) BroadcastExchange +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(68) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#72] -Right keys [1]: [ws_bill_customer_sk#80] +(65) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#70] +Right keys [1]: [ws_bill_customer_sk#78] Join type: Inner Join condition: None -(69) Project [codegen id : 14] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Input [12]: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(66) Project [codegen id : 12] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Input [12]: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] -(70) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#84, d_year#85] +(67) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#82, d_year#83] -(71) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#83] -Right keys [1]: [d_date_sk#84] +(68) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#81] +Right keys [1]: [d_date_sk#82] Join type: Inner Join condition: None -(72) Project [codegen id : 14] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] -Input [12]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83, d_date_sk#84, d_year#85] - -(73) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -Aggregate Attributes [1]: [sum#86] -Results [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] - -(74) CometColumnarExchange -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] -Arguments: hashpartitioning(c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(75) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] - -(76) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))#69] -Results [2]: [c_customer_id#55 AS customer_id#88, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))#69,18,2) AS year_total#89] - -(77) BroadcastExchange -Input [2]: [customer_id#88, year_total#89] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(78) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#88] -Join type: Inner -Join condition: (CASE WHEN (year_total#71 > 0.00) THEN (year_total#89 / year_total#71) END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#46 / year_total#26) END) +(69) Project [codegen id : 12] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, d_year#83] +Input [12]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81, d_date_sk#82, d_year#83] + +(70) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, d_year#83] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#80 - ws_ext_discount_amt#79)))] +Aggregate Attributes [1]: [sum#84] +Results [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] + +(71) CometColumnarExchange +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] +Arguments: hashpartitioning(c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(72) CometHashAggregate +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#80 - ws_ext_discount_amt#79)))] -(79) Project [codegen id : 16] -Output [1]: [customer_preferred_cust_flag#45] -Input [7]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, year_total#71, customer_id#88, year_total#89] +(73) CometBroadcastExchange +Input [2]: [customer_id#86, year_total#87] +Arguments: [customer_id#86, year_total#87] -(80) TakeOrderedAndProject -Input [1]: [customer_preferred_cust_flag#45] -Arguments: 100, [customer_preferred_cust_flag#45 ASC NULLS FIRST], [customer_preferred_cust_flag#45] +(74) CometBroadcastHashJoin +Left output [5]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69] +Right output [2]: [customer_id#86, year_total#87] +Arguments: [customer_id#24], [customer_id#86], Inner, (CASE WHEN (year_total#69 > 0.00) THEN (year_total#87 / year_total#69) END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#45 / year_total#25) END), BuildRight + +(75) CometProject +Input [7]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69, customer_id#86, year_total#87] +Arguments: [customer_preferred_cust_flag#44], [customer_preferred_cust_flag#44] + +(76) CometTakeOrderedAndProject +Input [1]: [customer_preferred_cust_flag#44] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_preferred_cust_flag#44 ASC NULLS FIRST], output=[customer_preferred_cust_flag#44]), [customer_preferred_cust_flag#44], 100, 0, [customer_preferred_cust_flag#44 ASC NULLS FIRST], [customer_preferred_cust_flag#44] + +(77) CometColumnarToRow [codegen id : 13] +Input [1]: [customer_preferred_cust_flag#44] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (84) -+- * CometColumnarToRow (83) - +- CometFilter (82) - +- CometNativeScan parquet spark_catalog.default.date_dim (81) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(81) CometNativeScan parquet spark_catalog.default.date_dim +(78) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(82) CometFilter +(79) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(83) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(84) BroadcastExchange +(81) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#38 IN dynamicpruning#39 -BroadcastExchange (88) -+- * CometColumnarToRow (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#37 IN dynamicpruning#38 +BroadcastExchange (85) ++- * CometColumnarToRow (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_year#41] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#39, d_year#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [2]: [d_date_sk#40, d_year#41] -Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2002)) AND isnotnull(d_date_sk#40)) +(83) CometFilter +Input [2]: [d_date_sk#39, d_year#40] +Condition : ((isnotnull(d_year#40) AND (d_year#40 = 2002)) AND isnotnull(d_date_sk#39)) -(87) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#40, d_year#41] +(84) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#39, d_year#40] -(88) BroadcastExchange -Input [2]: [d_date_sk#40, d_year#41] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(85) BroadcastExchange +Input [2]: [d_date_sk#39, d_year#40] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 43 Hosting Expression = ws_sold_date_sk#64 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 41 Hosting Expression = ws_sold_date_sk#63 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 64 Hosting Expression = ws_sold_date_sk#83 IN dynamicpruning#39 +Subquery:4 Hosting operator id = 61 Hosting Expression = ws_sold_date_sk#81 IN dynamicpruning#38 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/extended.txt index 0f9f19de77..e7100f59c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/extended.txt @@ -1,88 +1,85 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -103,4 +100,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 44 out of 86 eligible operators (51%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/simplified.txt index 6c9e276c01..2bb2dca259 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q11.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [customer_preferred_cust_flag] - WholeStageCodegen (16) - Project [customer_preferred_cust_flag] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_preferred_cust_flag] + CometProject [customer_preferred_cust_flag] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_preferred_cust_flag,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -38,94 +38,82 @@ TakeOrderedAndProject [customer_preferred_cust_flag] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_preferred_cust_flag,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometBroadcastExchange [customer_id,customer_preferred_cust_flag,year_total] #4 + CometHashAggregate [c_first_name,c_last_name,d_year,c_birth_country,c_login,c_email_address,sum] [customer_id,customer_preferred_cust_flag,year_total,c_customer_id,c_preferred_cust_flag,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/explain.txt index 19d16c378b..29d6ac27e4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/simplified.txt index b7b0a89774..df2dd7f3fe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/explain.txt index dbacf525ef..b4e29d42ef 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (36) -+- * CometColumnarToRow (35) +* CometColumnarToRow (36) ++- CometHashAggregate (35) +- CometColumnarExchange (34) +- * HashAggregate (33) +- * Project (32) @@ -196,15 +196,13 @@ Results [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(35) CometColumnarToRow [codegen id : 7] -Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] - -(36) HashAggregate [codegen id : 7] +(35) CometHashAggregate Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Keys: [] Functions [4]: [avg(ss_quantity#5), avg(UnscaledValue(ss_ext_sales_price#7)), avg(UnscaledValue(ss_ext_wholesale_cost#8)), sum(UnscaledValue(ss_ext_wholesale_cost#8))] -Aggregate Attributes [4]: [avg(ss_quantity#5)#39, avg(UnscaledValue(ss_ext_sales_price#7))#40, avg(UnscaledValue(ss_ext_wholesale_cost#8))#41, sum(UnscaledValue(ss_ext_wholesale_cost#8))#42] -Results [4]: [avg(ss_quantity#5)#39 AS avg(ss_quantity)#43, cast((avg(UnscaledValue(ss_ext_sales_price#7))#40 / 100.0) as decimal(11,6)) AS avg(ss_ext_sales_price)#44, cast((avg(UnscaledValue(ss_ext_wholesale_cost#8))#41 / 100.0) as decimal(11,6)) AS avg(ss_ext_wholesale_cost)#45, MakeDecimal(sum(UnscaledValue(ss_ext_wholesale_cost#8))#42,17,2) AS sum(ss_ext_wholesale_cost)#46] + +(36) CometColumnarToRow [codegen id : 7] +Input [4]: [avg(ss_quantity)#39, avg(ss_ext_sales_price)#40, avg(ss_ext_wholesale_cost)#41, sum(ss_ext_wholesale_cost)#42] ===== Subqueries ===== @@ -217,18 +215,18 @@ BroadcastExchange (41) (37) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_year#47] +Output [2]: [d_date_sk#17, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (38) CometFilter -Input [2]: [d_date_sk#17, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2001)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#17, d_year#43] +Condition : ((isnotnull(d_year#43) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#17)) (39) CometProject -Input [2]: [d_date_sk#17, d_year#47] +Input [2]: [d_date_sk#17, d_year#43] Arguments: [d_date_sk#17], [d_date_sk#17] (40) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/extended.txt index 4c0d0b7a33..5a17c12762 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 38 eligible operators (47%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/simplified.txt index a33ae5a161..df20fc4550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q13.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost)),avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),sum,count,sum,count,sum,count,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ss_quantity,ss_ext_sales_price,ss_ext_wholesale_cost] [sum,count,sum,count,sum,count,sum,sum,count,sum,count,sum,count,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/explain.txt index 8abc7aabfb..a79c98c756 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/explain.txt @@ -1,114 +1,111 @@ == Physical Plan == -TakeOrderedAndProject (110) -+- * HashAggregate (109) - +- * CometColumnarToRow (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- * Expand (105) - +- Union (104) - :- * Project (69) - : +- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - :- * Project (86) - : +- * Filter (85) - : +- * HashAggregate (84) - : +- * CometColumnarToRow (83) - : +- CometColumnarExchange (82) - : +- * HashAggregate (81) - : +- * Project (80) - : +- * BroadcastHashJoin Inner BuildRight (79) - : :- * Project (77) - : : +- * BroadcastHashJoin Inner BuildRight (76) - : : :- * BroadcastHashJoin LeftSemi BuildRight (74) - : : : :- * Filter (72) - : : : : +- * ColumnarToRow (71) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (70) - : : : +- ReusedExchange (73) - : : +- ReusedExchange (75) - : +- ReusedExchange (78) - +- * Project (103) - +- * Filter (102) - +- * HashAggregate (101) - +- * CometColumnarToRow (100) - +- CometColumnarExchange (99) - +- * HashAggregate (98) - +- * Project (97) - +- * BroadcastHashJoin Inner BuildRight (96) - :- * Project (94) - : +- * BroadcastHashJoin Inner BuildRight (93) - : :- * BroadcastHashJoin LeftSemi BuildRight (91) - : : :- * Filter (89) - : : : +- * ColumnarToRow (88) - : : : +- Scan parquet spark_catalog.default.web_sales (87) - : : +- ReusedExchange (90) - : +- ReusedExchange (92) - +- ReusedExchange (95) +* CometColumnarToRow (107) ++- CometTakeOrderedAndProject (106) + +- CometHashAggregate (105) + +- CometExchange (104) + +- CometHashAggregate (103) + +- CometExpand (102) + +- CometUnion (101) + :- CometProject (68) + : +- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + :- CometProject (84) + : +- CometFilter (83) + : +- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Project (76) + : : +- * BroadcastHashJoin Inner BuildRight (75) + : : :- * BroadcastHashJoin LeftSemi BuildRight (73) + : : : :- * Filter (71) + : : : : +- * ColumnarToRow (70) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) + : : : +- ReusedExchange (72) + : : +- ReusedExchange (74) + : +- ReusedExchange (77) + +- CometProject (100) + +- CometFilter (99) + +- CometHashAggregate (98) + +- CometColumnarExchange (97) + +- * HashAggregate (96) + +- * Project (95) + +- * BroadcastHashJoin Inner BuildRight (94) + :- * Project (92) + : +- * BroadcastHashJoin Inner BuildRight (91) + : :- * BroadcastHashJoin LeftSemi BuildRight (89) + : : :- * Filter (87) + : : : +- * ColumnarToRow (86) + : : : +- Scan parquet spark_catalog.default.web_sales (85) + : : +- ReusedExchange (88) + : +- ReusedExchange (90) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -212,7 +209,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 140] +(22) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -249,7 +246,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 140] +(30) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -309,7 +306,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 140] +(43) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -393,7 +390,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 135] +(61) ReusedExchange [Reuses operator id: 132] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -417,393 +414,375 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#49, count(1)#48 AS number_sales#50] -(68) Filter [codegen id : 26] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] -Condition : (isnotnull(sales#49) AND (cast(sales#49 as decimal(32,6)) > cast(Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) +(67) CometFilter +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Condition : (isnotnull(sales#47) AND (cast(sales#47 as decimal(32,6)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) -(69) Project [codegen id : 26] -Output [6]: [sales#49, number_sales#50, store AS channel#53, i_brand_id#37 AS i_brand_id#54, i_class_id#38 AS i_class_id#55, i_category_id#39 AS i_category_id#56] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] +(68) CometProject +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Arguments: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54], [sales#47, number_sales#48, store AS channel#51, i_brand_id#37 AS i_brand_id#52, i_class_id#38 AS i_class_id#53, i_category_id#39 AS i_category_id#54] -(70) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(69) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#60), dynamicpruningexpression(cs_sold_date_sk#60 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#58), dynamicpruningexpression(cs_sold_date_sk#58 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(70) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] -(72) Filter [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] -Condition : isnotnull(cs_item_sk#57) +(71) Filter [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] +Condition : isnotnull(cs_item_sk#55) -(73) ReusedExchange [Reuses operator id: 51] +(72) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(74) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] +(73) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(75) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#61, i_brand_id#62, i_class_id#63, i_category_id#64] +(74) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] -(76) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] -Right keys [1]: [i_item_sk#61] +(75) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] +Right keys [1]: [i_item_sk#59] Join type: Inner Join condition: None -(77) Project [codegen id : 51] -Output [6]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#62, i_class_id#63, i_category_id#64] -Input [8]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_item_sk#61, i_brand_id#62, i_class_id#63, i_category_id#64] +(76) Project [codegen id : 50] +Output [6]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#60, i_class_id#61, i_category_id#62] +Input [8]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] -(78) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#65] +(77) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#63] -(79) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#60] -Right keys [1]: [d_date_sk#65] +(78) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#58] +Right keys [1]: [d_date_sk#63] Join type: Inner Join condition: None -(80) Project [codegen id : 51] -Output [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#62, i_class_id#63, i_category_id#64] -Input [7]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#62, i_class_id#63, i_category_id#64, d_date_sk#65] - -(81) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#62, i_class_id#63, i_category_id#64] -Keys [3]: [i_brand_id#62, i_class_id#63, i_category_id#64] -Functions [2]: [partial_sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), partial_count(1)] -Aggregate Attributes [3]: [sum#66, isEmpty#67, count#68] -Results [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71] - -(82) CometColumnarExchange -Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71] -Arguments: hashpartitioning(i_brand_id#62, i_class_id#63, i_category_id#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(83) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71] - -(84) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum#69, isEmpty#70, count#71] -Keys [3]: [i_brand_id#62, i_class_id#63, i_category_id#64] -Functions [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#72, count(1)#73] -Results [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#72 AS sales#74, count(1)#73 AS number_sales#75] - -(85) Filter [codegen id : 52] -Input [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sales#74, number_sales#75] -Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(86) Project [codegen id : 52] -Output [6]: [sales#74, number_sales#75, catalog AS channel#76, i_brand_id#62, i_class_id#63, i_category_id#64] -Input [5]: [i_brand_id#62, i_class_id#63, i_category_id#64, sales#74, number_sales#75] - -(87) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80] +(79) Project [codegen id : 50] +Output [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#60, i_class_id#61, i_category_id#62] +Input [7]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#60, i_class_id#61, i_category_id#62, d_date_sk#63] + +(80) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#60, i_class_id#61, i_category_id#62] +Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] +Functions [2]: [partial_sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), partial_count(1)] +Aggregate Attributes [3]: [sum#64, isEmpty#65, count#66] +Results [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] + +(81) CometColumnarExchange +Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] +Arguments: hashpartitioning(i_brand_id#60, i_class_id#61, i_category_id#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(82) CometHashAggregate +Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] +Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] +Functions [2]: [sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), count(1)] + +(83) CometFilter +Input [5]: [i_brand_id#60, i_class_id#61, i_category_id#62, sales#70, number_sales#71] +Condition : (isnotnull(sales#70) AND (cast(sales#70 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(84) CometProject +Input [5]: [i_brand_id#60, i_class_id#61, i_category_id#62, sales#70, number_sales#71] +Arguments: [sales#70, number_sales#71, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62], [sales#70, number_sales#71, catalog AS channel#72, i_brand_id#60, i_class_id#61, i_category_id#62] + +(85) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#73, ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#80), dynamicpruningexpression(ws_sold_date_sk#80 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#76), dynamicpruningexpression(ws_sold_date_sk#76 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(88) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80] +(86) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#73, ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76] -(89) Filter [codegen id : 77] -Input [4]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80] -Condition : isnotnull(ws_item_sk#77) +(87) Filter [codegen id : 75] +Input [4]: [ws_item_sk#73, ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76] +Condition : isnotnull(ws_item_sk#73) -(90) ReusedExchange [Reuses operator id: 51] +(88) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#77] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#73] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(92) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#81, i_brand_id#82, i_class_id#83, i_category_id#84] +(90) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#77, i_brand_id#78, i_class_id#79, i_category_id#80] -(93) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#77] -Right keys [1]: [i_item_sk#81] +(91) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#73] +Right keys [1]: [i_item_sk#77] Join type: Inner Join condition: None -(94) Project [codegen id : 77] -Output [6]: [ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_brand_id#82, i_class_id#83, i_category_id#84] -Input [8]: [ws_item_sk#77, ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_item_sk#81, i_brand_id#82, i_class_id#83, i_category_id#84] +(92) Project [codegen id : 75] +Output [6]: [ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76, i_brand_id#78, i_class_id#79, i_category_id#80] +Input [8]: [ws_item_sk#73, ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76, i_item_sk#77, i_brand_id#78, i_class_id#79, i_category_id#80] -(95) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#85] +(93) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#81] -(96) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#80] -Right keys [1]: [d_date_sk#85] +(94) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#76] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(97) Project [codegen id : 77] -Output [5]: [ws_quantity#78, ws_list_price#79, i_brand_id#82, i_class_id#83, i_category_id#84] -Input [7]: [ws_quantity#78, ws_list_price#79, ws_sold_date_sk#80, i_brand_id#82, i_class_id#83, i_category_id#84, d_date_sk#85] - -(98) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#78, ws_list_price#79, i_brand_id#82, i_class_id#83, i_category_id#84] -Keys [3]: [i_brand_id#82, i_class_id#83, i_category_id#84] -Functions [2]: [partial_sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79)), partial_count(1)] -Aggregate Attributes [3]: [sum#86, isEmpty#87, count#88] -Results [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91] - -(99) CometColumnarExchange -Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91] -Arguments: hashpartitioning(i_brand_id#82, i_class_id#83, i_category_id#84, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(100) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91] - -(101) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum#89, isEmpty#90, count#91] -Keys [3]: [i_brand_id#82, i_class_id#83, i_category_id#84] -Functions [2]: [sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79))#92, count(1)#93] -Results [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sum((cast(ws_quantity#78 as decimal(10,0)) * ws_list_price#79))#92 AS sales#94, count(1)#93 AS number_sales#95] - -(102) Filter [codegen id : 78] -Input [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sales#94, number_sales#95] -Condition : (isnotnull(sales#94) AND (cast(sales#94 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(103) Project [codegen id : 78] -Output [6]: [sales#94, number_sales#95, web AS channel#96, i_brand_id#82, i_class_id#83, i_category_id#84] -Input [5]: [i_brand_id#82, i_class_id#83, i_category_id#84, sales#94, number_sales#95] - -(104) Union - -(105) Expand [codegen id : 79] -Input [6]: [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56] -Arguments: [[sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56, 0], [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, null, 1], [sales#49, number_sales#50, channel#53, i_brand_id#54, null, null, 3], [sales#49, number_sales#50, channel#53, null, null, null, 7], [sales#49, number_sales#50, null, null, null, null, 15]], [sales#49, number_sales#50, channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101] - -(106) HashAggregate [codegen id : 79] -Input [7]: [sales#49, number_sales#50, channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101] -Keys [5]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101] -Functions [2]: [partial_sum(sales#49), partial_sum(number_sales#50)] -Aggregate Attributes [3]: [sum#102, isEmpty#103, sum#104] -Results [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107] - -(107) CometColumnarExchange -Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107] -Arguments: hashpartitioning(channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(108) CometColumnarToRow [codegen id : 80] -Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107] - -(109) HashAggregate [codegen id : 80] -Input [8]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101, sum#105, isEmpty#106, sum#107] -Keys [5]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, spark_grouping_id#101] -Functions [2]: [sum(sales#49), sum(number_sales#50)] -Aggregate Attributes [2]: [sum(sales#49)#108, sum(number_sales#50)#109] -Results [6]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales#49)#108 AS sum(sales)#110, sum(number_sales#50)#109 AS sum(number_sales)#111] - -(110) TakeOrderedAndProject -Input [6]: [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales)#110, sum(number_sales)#111] -Arguments: 100, [channel#97 ASC NULLS FIRST, i_brand_id#98 ASC NULLS FIRST, i_class_id#99 ASC NULLS FIRST, i_category_id#100 ASC NULLS FIRST], [channel#97, i_brand_id#98, i_class_id#99, i_category_id#100, sum(sales)#110, sum(number_sales)#111] +(95) Project [codegen id : 75] +Output [5]: [ws_quantity#74, ws_list_price#75, i_brand_id#78, i_class_id#79, i_category_id#80] +Input [7]: [ws_quantity#74, ws_list_price#75, ws_sold_date_sk#76, i_brand_id#78, i_class_id#79, i_category_id#80, d_date_sk#81] + +(96) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#74, ws_list_price#75, i_brand_id#78, i_class_id#79, i_category_id#80] +Keys [3]: [i_brand_id#78, i_class_id#79, i_category_id#80] +Functions [2]: [partial_sum((cast(ws_quantity#74 as decimal(10,0)) * ws_list_price#75)), partial_count(1)] +Aggregate Attributes [3]: [sum#82, isEmpty#83, count#84] +Results [6]: [i_brand_id#78, i_class_id#79, i_category_id#80, sum#85, isEmpty#86, count#87] + +(97) CometColumnarExchange +Input [6]: [i_brand_id#78, i_class_id#79, i_category_id#80, sum#85, isEmpty#86, count#87] +Arguments: hashpartitioning(i_brand_id#78, i_class_id#79, i_category_id#80, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(98) CometHashAggregate +Input [6]: [i_brand_id#78, i_class_id#79, i_category_id#80, sum#85, isEmpty#86, count#87] +Keys [3]: [i_brand_id#78, i_class_id#79, i_category_id#80] +Functions [2]: [sum((cast(ws_quantity#74 as decimal(10,0)) * ws_list_price#75)), count(1)] + +(99) CometFilter +Input [5]: [i_brand_id#78, i_class_id#79, i_category_id#80, sales#88, number_sales#89] +Condition : (isnotnull(sales#88) AND (cast(sales#88 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(100) CometProject +Input [5]: [i_brand_id#78, i_class_id#79, i_category_id#80, sales#88, number_sales#89] +Arguments: [sales#88, number_sales#89, channel#90, i_brand_id#78, i_class_id#79, i_category_id#80], [sales#88, number_sales#89, web AS channel#90, i_brand_id#78, i_class_id#79, i_category_id#80] + +(101) CometUnion +Child 0 Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Child 1 Input [6]: [sales#70, number_sales#71, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62] +Child 2 Input [6]: [sales#88, number_sales#89, channel#90, i_brand_id#78, i_class_id#79, i_category_id#80] + +(102) CometExpand +Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Arguments: [[sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54, 0], [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, null, 1], [sales#47, number_sales#48, channel#51, i_brand_id#52, null, null, 3], [sales#47, number_sales#48, channel#51, null, null, null, 7], [sales#47, number_sales#48, null, null, null, null, 15]], [sales#47, number_sales#48, channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95] + +(103) CometHashAggregate +Input [7]: [sales#47, number_sales#48, channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95] +Keys [5]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95] +Functions [2]: [partial_sum(sales#47), partial_sum(number_sales#48)] + +(104) CometExchange +Input [8]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95, sum#96, isEmpty#97, sum#98] +Arguments: hashpartitioning(channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(105) CometHashAggregate +Input [8]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95, sum#96, isEmpty#97, sum#98] +Keys [5]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, spark_grouping_id#95] +Functions [2]: [sum(sales#47), sum(number_sales#48)] + +(106) CometTakeOrderedAndProject +Input [6]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, sum(sales)#99, sum(number_sales)#100] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#91 ASC NULLS FIRST,i_brand_id#92 ASC NULLS FIRST,i_class_id#93 ASC NULLS FIRST,i_category_id#94 ASC NULLS FIRST], output=[channel#91,i_brand_id#92,i_class_id#93,i_category_id#94,sum(sales)#99,sum(number_sales)#100]), [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, sum(sales)#99, sum(number_sales)#100], 100, 0, [channel#91 ASC NULLS FIRST, i_brand_id#92 ASC NULLS FIRST, i_class_id#93 ASC NULLS FIRST, i_category_id#94 ASC NULLS FIRST], [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, sum(sales)#99, sum(number_sales)#100] + +(107) CometColumnarToRow [codegen id : 76] +Input [6]: [channel#91, i_brand_id#92, i_class_id#93, i_category_id#94, sum(sales)#99, sum(number_sales)#100] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#51, [id=#52] -* HashAggregate (130) -+- * CometColumnarToRow (129) - +- CometColumnarExchange (128) - +- * HashAggregate (127) - +- Union (126) - :- * Project (115) - : +- * BroadcastHashJoin Inner BuildRight (114) - : :- * ColumnarToRow (112) - : : +- Scan parquet spark_catalog.default.store_sales (111) - : +- ReusedExchange (113) - :- * Project (120) - : +- * BroadcastHashJoin Inner BuildRight (119) - : :- * ColumnarToRow (117) - : : +- Scan parquet spark_catalog.default.catalog_sales (116) - : +- ReusedExchange (118) - +- * Project (125) - +- * BroadcastHashJoin Inner BuildRight (124) - :- * ColumnarToRow (122) - : +- Scan parquet spark_catalog.default.web_sales (121) - +- ReusedExchange (123) - - -(111) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#49, [id=#50] +* CometColumnarToRow (127) ++- CometHashAggregate (126) + +- CometColumnarExchange (125) + +- * HashAggregate (124) + +- Union (123) + :- * Project (112) + : +- * BroadcastHashJoin Inner BuildRight (111) + : :- * ColumnarToRow (109) + : : +- Scan parquet spark_catalog.default.store_sales (108) + : +- ReusedExchange (110) + :- * Project (117) + : +- * BroadcastHashJoin Inner BuildRight (116) + : :- * ColumnarToRow (114) + : : +- Scan parquet spark_catalog.default.catalog_sales (113) + : +- ReusedExchange (115) + +- * Project (122) + +- * BroadcastHashJoin Inner BuildRight (121) + :- * ColumnarToRow (119) + : +- Scan parquet spark_catalog.default.web_sales (118) + +- ReusedExchange (120) + + +(108) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#101, ss_list_price#102, ss_sold_date_sk#103] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#114), dynamicpruningexpression(ss_sold_date_sk#114 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#103), dynamicpruningexpression(ss_sold_date_sk#103 IN dynamicpruning#12)] ReadSchema: struct -(112) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114] +(109) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#101, ss_list_price#102, ss_sold_date_sk#103] -(113) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#115] +(110) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#104] -(114) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#114] -Right keys [1]: [d_date_sk#115] +(111) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#103] +Right keys [1]: [d_date_sk#104] Join type: Inner Join condition: None -(115) Project [codegen id : 2] -Output [2]: [ss_quantity#112 AS quantity#116, ss_list_price#113 AS list_price#117] -Input [4]: [ss_quantity#112, ss_list_price#113, ss_sold_date_sk#114, d_date_sk#115] +(112) Project [codegen id : 2] +Output [2]: [ss_quantity#101 AS quantity#105, ss_list_price#102 AS list_price#106] +Input [4]: [ss_quantity#101, ss_list_price#102, ss_sold_date_sk#103, d_date_sk#104] -(116) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120] +(113) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#107, cs_list_price#108, cs_sold_date_sk#109] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#120), dynamicpruningexpression(cs_sold_date_sk#120 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#109), dynamicpruningexpression(cs_sold_date_sk#109 IN dynamicpruning#12)] ReadSchema: struct -(117) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120] +(114) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#107, cs_list_price#108, cs_sold_date_sk#109] -(118) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#121] +(115) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#110] -(119) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#120] -Right keys [1]: [d_date_sk#121] +(116) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#109] +Right keys [1]: [d_date_sk#110] Join type: Inner Join condition: None -(120) Project [codegen id : 4] -Output [2]: [cs_quantity#118 AS quantity#122, cs_list_price#119 AS list_price#123] -Input [4]: [cs_quantity#118, cs_list_price#119, cs_sold_date_sk#120, d_date_sk#121] +(117) Project [codegen id : 4] +Output [2]: [cs_quantity#107 AS quantity#111, cs_list_price#108 AS list_price#112] +Input [4]: [cs_quantity#107, cs_list_price#108, cs_sold_date_sk#109, d_date_sk#110] -(121) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126] +(118) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#113, ws_list_price#114, ws_sold_date_sk#115] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#126), dynamicpruningexpression(ws_sold_date_sk#126 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#115), dynamicpruningexpression(ws_sold_date_sk#115 IN dynamicpruning#12)] ReadSchema: struct -(122) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126] +(119) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#113, ws_list_price#114, ws_sold_date_sk#115] -(123) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#127] +(120) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#116] -(124) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#126] -Right keys [1]: [d_date_sk#127] +(121) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#115] +Right keys [1]: [d_date_sk#116] Join type: Inner Join condition: None -(125) Project [codegen id : 6] -Output [2]: [ws_quantity#124 AS quantity#128, ws_list_price#125 AS list_price#129] -Input [4]: [ws_quantity#124, ws_list_price#125, ws_sold_date_sk#126, d_date_sk#127] +(122) Project [codegen id : 6] +Output [2]: [ws_quantity#113 AS quantity#117, ws_list_price#114 AS list_price#118] +Input [4]: [ws_quantity#113, ws_list_price#114, ws_sold_date_sk#115, d_date_sk#116] -(126) Union +(123) Union -(127) HashAggregate [codegen id : 7] -Input [2]: [quantity#116, list_price#117] +(124) HashAggregate [codegen id : 7] +Input [2]: [quantity#105, list_price#106] Keys: [] -Functions [1]: [partial_avg((cast(quantity#116 as decimal(10,0)) * list_price#117))] -Aggregate Attributes [2]: [sum#130, count#131] -Results [2]: [sum#132, count#133] +Functions [1]: [partial_avg((cast(quantity#105 as decimal(10,0)) * list_price#106))] +Aggregate Attributes [2]: [sum#119, count#120] +Results [2]: [sum#121, count#122] -(128) CometColumnarExchange -Input [2]: [sum#132, count#133] +(125) CometColumnarExchange +Input [2]: [sum#121, count#122] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(129) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#132, count#133] - -(130) HashAggregate [codegen id : 8] -Input [2]: [sum#132, count#133] +(126) CometHashAggregate +Input [2]: [sum#121, count#122] Keys: [] -Functions [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))] -Aggregate Attributes [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))#134] -Results [1]: [avg((cast(quantity#116 as decimal(10,0)) * list_price#117))#134 AS average_sales#135] +Functions [1]: [avg((cast(quantity#105 as decimal(10,0)) * list_price#106))] + +(127) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#123] -Subquery:2 Hosting operator id = 111 Hosting Expression = ss_sold_date_sk#114 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 108 Hosting Expression = ss_sold_date_sk#103 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 116 Hosting Expression = cs_sold_date_sk#120 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 113 Hosting Expression = cs_sold_date_sk#109 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 121 Hosting Expression = ws_sold_date_sk#126 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 118 Hosting Expression = ws_sold_date_sk#115 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (135) -+- * CometColumnarToRow (134) - +- CometProject (133) - +- CometFilter (132) - +- CometNativeScan parquet spark_catalog.default.date_dim (131) +BroadcastExchange (132) ++- * CometColumnarToRow (131) + +- CometProject (130) + +- CometFilter (129) + +- CometNativeScan parquet spark_catalog.default.date_dim (128) -(131) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#136, d_moy#137] +(128) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#124, d_moy#125] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(132) CometFilter -Input [3]: [d_date_sk#40, d_year#136, d_moy#137] -Condition : ((((isnotnull(d_year#136) AND isnotnull(d_moy#137)) AND (d_year#136 = 2001)) AND (d_moy#137 = 11)) AND isnotnull(d_date_sk#40)) +(129) CometFilter +Input [3]: [d_date_sk#40, d_year#124, d_moy#125] +Condition : ((((isnotnull(d_year#124) AND isnotnull(d_moy#125)) AND (d_year#124 = 2001)) AND (d_moy#125 = 11)) AND isnotnull(d_date_sk#40)) -(133) CometProject -Input [3]: [d_date_sk#40, d_year#136, d_moy#137] +(130) CometProject +Input [3]: [d_date_sk#40, d_year#124, d_moy#125] Arguments: [d_date_sk#40], [d_date_sk#40] -(134) CometColumnarToRow [codegen id : 1] +(131) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(135) BroadcastExchange +(132) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (140) -+- * CometColumnarToRow (139) - +- CometProject (138) - +- CometFilter (137) - +- CometNativeScan parquet spark_catalog.default.date_dim (136) +BroadcastExchange (137) ++- * CometColumnarToRow (136) + +- CometProject (135) + +- CometFilter (134) + +- CometNativeScan parquet spark_catalog.default.date_dim (133) -(136) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#138] +(133) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#126] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(137) CometFilter -Input [2]: [d_date_sk#24, d_year#138] -Condition : (((isnotnull(d_year#138) AND (d_year#138 >= 1999)) AND (d_year#138 <= 2001)) AND isnotnull(d_date_sk#24)) +(134) CometFilter +Input [2]: [d_date_sk#24, d_year#126] +Condition : (((isnotnull(d_year#126) AND (d_year#126 >= 1999)) AND (d_year#126 <= 2001)) AND isnotnull(d_date_sk#24)) -(138) CometProject -Input [2]: [d_date_sk#24, d_year#138] +(135) CometProject +Input [2]: [d_date_sk#24, d_year#126] Arguments: [d_date_sk#24], [d_date_sk#24] -(139) CometColumnarToRow [codegen id : 1] +(136) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(140) BroadcastExchange +(137) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] @@ -811,12 +790,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 85 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:9 Hosting operator id = 83 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:10 Hosting operator id = 70 Hosting Expression = cs_sold_date_sk#60 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#58 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 102 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:11 Hosting operator id = 99 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:12 Hosting operator id = 87 Hosting Expression = ws_sold_date_sk#80 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#76 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/extended.txt index dfd3434d90..34f635b252 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/extended.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- Project - : +- Filter +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometProject + : +- CometFilter : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Union @@ -43,511 +43,508 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Project - : +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometProject + : +- CometFilter : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometProject + +- CometFilter : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 164 out of 458 eligible operators (35%). Final plan contains 93 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 179 out of 458 eligible operators (39%). Final plan contains 90 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/simplified.txt index c989fe9a81..587e20c015 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14a.native_datafusion/simplified.txt @@ -1,220 +1,209 @@ -TakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum(sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - Expand [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] - InputAdapter - Union - WholeStageCodegen (26) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] +WholeStageCodegen (76) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales),sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] + CometExpand [channel,i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] + CometUnion [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometProject [i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #13 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] InputAdapter - BroadcastExchange #4 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + BroadcastExchange #5 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #6 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #6 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #8 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + ReusedExchange [d_date_sk] #7 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (52) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 + BroadcastExchange #11 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (78) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/explain.txt index d539836be8..3c87ae30e4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,376 +393,366 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] +(71) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#59] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#57] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#63] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#61] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#63] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#61] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62, d_date_sk#63] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#64, isEmpty#65, count#66] -Results [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Arguments: hashpartitioning(i_brand_id#60, i_class_id#61, i_category_id#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#70, count(1)#71] -Results [6]: [store AS channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#70 AS sales#73, count(1)#71 AS number_sales#74] - -(84) Filter [codegen id : 51] -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Condition : (isnotnull(sales#73) AND (cast(sales#73 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60, d_date_sk#61] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#62, isEmpty#63, count#64] +Results [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Arguments: hashpartitioning(i_brand_id#58, i_class_id#59, i_category_id#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Condition : (isnotnull(sales#69) AND (cast(sales#69 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#58, i_class_id#59, i_category_id#60], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#68,i_brand_id#58,i_class_id#59,i_category_id#60,sales#69,number_sales#70]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#77), dynamicpruningexpression(ss_sold_date_sk#77 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#73), dynamicpruningexpression(ss_sold_date_sk#73 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#78] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#74] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#77] -Right keys [1]: [d_date_sk#78] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#73] +Right keys [1]: [d_date_sk#74] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#75 AS quantity#79, ss_list_price#76 AS list_price#80] -Input [4]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77, d_date_sk#78] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#71 AS quantity#75, ss_list_price#72 AS list_price#76] +Input [4]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73, d_date_sk#74] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#83), dynamicpruningexpression(cs_sold_date_sk#83 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#79), dynamicpruningexpression(cs_sold_date_sk#79 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#84] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#80] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#83] -Right keys [1]: [d_date_sk#84] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#79] +Right keys [1]: [d_date_sk#80] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#81 AS quantity#85, cs_list_price#82 AS list_price#86] -Input [4]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83, d_date_sk#84] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#77 AS quantity#81, cs_list_price#78 AS list_price#82] +Input [4]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79, d_date_sk#80] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#89), dynamicpruningexpression(ws_sold_date_sk#89 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#85), dynamicpruningexpression(ws_sold_date_sk#85 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#90] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#86] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#89] -Right keys [1]: [d_date_sk#90] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#85] +Right keys [1]: [d_date_sk#86] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#87 AS quantity#91, ws_list_price#88 AS list_price#92] -Input [4]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89, d_date_sk#90] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#83 AS quantity#87, ws_list_price#84 AS list_price#88] +Input [4]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85, d_date_sk#86] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#79, list_price#80] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#75, list_price#76] Keys: [] -Functions [1]: [partial_avg((cast(quantity#79 as decimal(10,0)) * list_price#80))] -Aggregate Attributes [2]: [sum#93, count#94] -Results [2]: [sum#95, count#96] - -(105) CometColumnarExchange -Input [2]: [sum#95, count#96] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#75 as decimal(10,0)) * list_price#76))] +Aggregate Attributes [2]: [sum#89, count#90] +Results [2]: [sum#91, count#92] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#95, count#96] +(104) CometColumnarExchange +Input [2]: [sum#91, count#92] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#95, count#96] +(105) CometHashAggregate +Input [2]: [sum#91, count#92] Keys: [] -Functions [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))] -Aggregate Attributes [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))#97] -Results [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))#97 AS average_sales#98] +Functions [1]: [avg((cast(quantity#75 as decimal(10,0)) * list_price#76))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#93] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#77 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#73 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#83 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#79 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#89 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#85 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#99] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#94] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#99] -Condition : ((isnotnull(d_week_seq#99) AND (d_week_seq#99 = Subquery scalar-subquery#100, [id=#101])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#94] +Condition : ((isnotnull(d_week_seq#94) AND (d_week_seq#94 = Subquery scalar-subquery#95, [id=#96])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#99] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#94] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = Subquery scalar-subquery#100, [id=#101] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:6 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#95, [id=#96] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,2000), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Condition : (((((isnotnull(d_year#103) AND isnotnull(d_moy#104)) AND isnotnull(d_dom#105)) AND (d_year#103 = 2000)) AND (d_moy#104 = 12)) AND (d_dom#105 = 11)) +(113) CometFilter +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Condition : (((((isnotnull(d_year#98) AND isnotnull(d_moy#99)) AND isnotnull(d_dom#100)) AND (d_year#98 = 2000)) AND (d_moy#99 = 12)) AND (d_dom#100 = 11)) -(115) CometProject -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Arguments: [d_week_seq#102], [d_week_seq#102] +(114) CometProject +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Arguments: [d_week_seq#97], [d_week_seq#97] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#102] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#97] Subquery:7 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#103] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#98] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#103] -Condition : (((isnotnull(d_year#103) AND (d_year#103 >= 1999)) AND (d_year#103 <= 2001)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#98] +Condition : (((isnotnull(d_year#98) AND (d_year#98 >= 1999)) AND (d_year#98 <= 2001)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#103] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#98] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:8 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:9 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:10 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:10 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:11 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:11 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#63, d_week_seq#106] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#61, d_week_seq#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#63, d_week_seq#106] -Condition : ((isnotnull(d_week_seq#106) AND (d_week_seq#106 = Subquery scalar-subquery#107, [id=#108])) AND isnotnull(d_date_sk#63)) +(122) CometFilter +Input [2]: [d_date_sk#61, d_week_seq#101] +Condition : ((isnotnull(d_week_seq#101) AND (d_week_seq#101 = Subquery scalar-subquery#102, [id=#103])) AND isnotnull(d_date_sk#61)) -(124) CometProject -Input [2]: [d_date_sk#63, d_week_seq#106] -Arguments: [d_date_sk#63], [d_date_sk#63] +(123) CometProject +Input [2]: [d_date_sk#61, d_week_seq#101] +Arguments: [d_date_sk#61], [d_date_sk#61] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#63] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#61] -(126) BroadcastExchange -Input [1]: [d_date_sk#63] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#61] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:12 Hosting operator id = 123 Hosting Expression = Subquery scalar-subquery#107, [id=#108] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:12 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#102, [id=#103] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Condition : (((((isnotnull(d_year#103) AND isnotnull(d_moy#104)) AND isnotnull(d_dom#105)) AND (d_year#103 = 1999)) AND (d_moy#104 = 12)) AND (d_dom#105 = 11)) +(127) CometFilter +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Condition : (((((isnotnull(d_year#98) AND isnotnull(d_moy#99)) AND isnotnull(d_dom#100)) AND (d_year#98 = 1999)) AND (d_moy#99 = 12)) AND (d_dom#100 = 11)) -(129) CometProject -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Arguments: [d_week_seq#102], [d_week_seq#102] +(128) CometProject +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Arguments: [d_week_seq#97], [d_week_seq#97] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#102] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#97] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/extended.txt index c4138c254a..04ce816165 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/extended.txt @@ -1,227 +1,226 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -401,4 +400,4 @@ TakeOrderedAndProject : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 333 eligible operators (38%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 333 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/simplified.txt index b0eae963c3..0e64c1111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q14b.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -163,44 +163,40 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/explain.txt index 594939616e..c3d1c69555 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -124,19 +124,17 @@ Results [2]: [ca_zip#11, sum#14] Input [2]: [ca_zip#11, sum#14] Arguments: hashpartitioning(ca_zip#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_zip#11, sum#14] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [2]: [ca_zip#11, sum#14] Keys [1]: [ca_zip#11] Functions [1]: [sum(UnscaledValue(cs_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#15] -Results [2]: [ca_zip#11, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#15,17,2) AS sum(cs_sales_price)#16] -(24) TakeOrderedAndProject -Input [2]: [ca_zip#11, sum(cs_sales_price)#16] -Arguments: 100, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#16] +(23) CometTakeOrderedAndProject +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#11 ASC NULLS FIRST], output=[ca_zip#11,sum(cs_sales_price)#15]), [ca_zip#11, sum(cs_sales_price)#15], 100, 0, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#15] + +(24) CometColumnarToRow [codegen id : 5] +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] ===== Subqueries ===== @@ -149,18 +147,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Output [3]: [d_date_sk#12, d_year#16, d_qoy#17] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] -Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#12)) +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] +Condition : ((((isnotnull(d_qoy#17) AND isnotnull(d_year#16)) AND (d_qoy#17 = 2)) AND (d_year#16 = 2001)) AND isnotnull(d_date_sk#12)) (27) CometProject -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] Arguments: [d_date_sk#12], [d_date_sk#12] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/extended.txt index 8ed98bc5cb..570e1d1fbc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/simplified.txt index f31442dcfe..89bd052905 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q15.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,sum(cs_sales_price)] - WholeStageCodegen (5) - HashAggregate [ca_zip,sum] [sum(UnscaledValue(cs_sales_price)),sum(cs_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,sum(cs_sales_price)] + CometHashAggregate [sum] [ca_zip,sum(cs_sales_price),sum(UnscaledValue(cs_sales_price))] CometColumnarExchange [ca_zip] #1 WholeStageCodegen (4) HashAggregate [ca_zip,cs_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/explain.txt index 5005b676fc..3ffc9e7f4e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Arguments: hashpartitioning(i_item_id#27, i_item_desc#26, s_state#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Keys [3]: [i_item_id#27, i_item_desc#26, s_state#23] Functions [9]: [count(ss_quantity#5), avg(ss_quantity#5), stddev_samp(cast(ss_quantity#5 as double)), count(sr_return_quantity#11), avg(sr_return_quantity#11), stddev_samp(cast(sr_return_quantity#11 as double)), count(cs_quantity#16), avg(cs_quantity#16), stddev_samp(cast(cs_quantity#16 as double))] -Aggregate Attributes [9]: [count(ss_quantity#5)#64, avg(ss_quantity#5)#65, stddev_samp(cast(ss_quantity#5 as double))#66, count(sr_return_quantity#11)#67, avg(sr_return_quantity#11)#68, stddev_samp(cast(sr_return_quantity#11 as double))#69, count(cs_quantity#16)#70, avg(cs_quantity#16)#71, stddev_samp(cast(cs_quantity#16 as double))#72] -Results [15]: [i_item_id#27, i_item_desc#26, s_state#23, count(ss_quantity#5)#64 AS store_sales_quantitycount#73, avg(ss_quantity#5)#65 AS store_sales_quantityave#74, stddev_samp(cast(ss_quantity#5 as double))#66 AS store_sales_quantitystdev#75, (stddev_samp(cast(ss_quantity#5 as double))#66 / avg(ss_quantity#5)#65) AS store_sales_quantitycov#76, count(sr_return_quantity#11)#67 AS as_store_returns_quantitycount#77, avg(sr_return_quantity#11)#68 AS as_store_returns_quantityave#78, stddev_samp(cast(sr_return_quantity#11 as double))#69 AS as_store_returns_quantitystdev#79, (stddev_samp(cast(sr_return_quantity#11 as double))#69 / avg(sr_return_quantity#11)#68) AS store_returns_quantitycov#80, count(cs_quantity#16)#70 AS catalog_sales_quantitycount#81, avg(cs_quantity#16)#71 AS catalog_sales_quantityave#82, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitystdev#83, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitycov#84] -(43) TakeOrderedAndProject -Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] -Arguments: 100, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] +(42) CometTakeOrderedAndProject +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#27 ASC NULLS FIRST,i_item_desc#26 ASC NULLS FIRST,s_state#23 ASC NULLS FIRST], output=[i_item_id#27,i_item_desc#26,s_state#23,store_sales_quantitycount#64,store_sales_quantityave#65,store_sales_quantitystdev#66,store_sales_quantitycov#67,as_store_returns_quantitycount#68,as_store_returns_quantityave#69,as_store_returns_quantitystdev#70,store_returns_quantitycov#71,catalog_sales_quantitycount#72,catalog_sales_quantityave#73,catalog_sales_quantitystdev#74,catalog_sales_quantitycov#75]), [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75], 100, 0, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] + +(43) CometColumnarToRow [codegen id : 9] +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#18, d_quarter_name#85] +Output [2]: [d_date_sk#18, d_quarter_name#76] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [2]: [d_date_sk#18, d_quarter_name#85] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#85, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#18)) +Input [2]: [d_date_sk#18, d_quarter_name#76] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#76, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [2]: [d_date_sk#18, d_quarter_name#85] +Input [2]: [d_date_sk#18, d_quarter_name#76] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_quarter_name#86] +Output [2]: [d_date_sk#19, d_quarter_name#77] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [2]: [d_date_sk#19, d_quarter_name#86] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#86, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_quarter_name#77] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#77, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [2]: [d_date_sk#19, d_quarter_name#86] +Input [2]: [d_date_sk#19, d_quarter_name#77] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/simplified.txt index c63dd716a1..85af2996da 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q17.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_state,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double)),store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] + CometHashAggregate [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double))] CometColumnarExchange [i_item_id,i_item_desc,s_state] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_state,ss_quantity,sr_return_quantity,cs_quantity] [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/explain.txt index 0503116eb3..a0f2a4d9c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Expand (41) @@ -246,19 +246,17 @@ Results [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_gro Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(44) CometColumnarToRow [codegen id : 8] -Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] - -(45) HashAggregate [codegen id : 8] +(44) CometHashAggregate Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Keys [5]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34] Functions [7]: [avg(cast(cs_quantity#4 as decimal(12,2))), avg(cast(cs_list_price#5 as decimal(12,2))), avg(cast(cs_coupon_amt#7 as decimal(12,2))), avg(cast(cs_sales_price#6 as decimal(12,2))), avg(cast(cs_net_profit#8 as decimal(12,2))), avg(cast(c_birth_year#19 as decimal(12,2))), avg(cast(cd_dep_count#14 as decimal(12,2)))] -Aggregate Attributes [7]: [avg(cast(cs_quantity#4 as decimal(12,2)))#63, avg(cast(cs_list_price#5 as decimal(12,2)))#64, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65, avg(cast(cs_sales_price#6 as decimal(12,2)))#66, avg(cast(cs_net_profit#8 as decimal(12,2)))#67, avg(cast(c_birth_year#19 as decimal(12,2)))#68, avg(cast(cd_dep_count#14 as decimal(12,2)))#69] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(cast(cs_quantity#4 as decimal(12,2)))#63 AS agg1#70, avg(cast(cs_list_price#5 as decimal(12,2)))#64 AS agg2#71, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65 AS agg3#72, avg(cast(cs_sales_price#6 as decimal(12,2)))#66 AS agg4#73, avg(cast(cs_net_profit#8 as decimal(12,2)))#67 AS agg5#74, avg(cast(c_birth_year#19 as decimal(12,2)))#68 AS agg6#75, avg(cast(cd_dep_count#14 as decimal(12,2)))#69 AS agg7#76] -(46) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] +(45) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#63,agg2#64,agg3#65,agg4#66,agg5#67,agg6#68,agg7#69]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] + +(46) CometColumnarToRow [codegen id : 8] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] ===== Subqueries ===== @@ -271,18 +269,18 @@ BroadcastExchange (51) (47) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#77] +Output [2]: [d_date_sk#26, d_year#70] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (48) CometFilter -Input [2]: [d_date_sk#26, d_year#77] -Condition : ((isnotnull(d_year#77) AND (d_year#77 = 1998)) AND isnotnull(d_date_sk#26)) +Input [2]: [d_date_sk#26, d_year#70] +Condition : ((isnotnull(d_year#70) AND (d_year#70 = 1998)) AND isnotnull(d_date_sk#26)) (49) CometProject -Input [2]: [d_date_sk#26, d_year#77] +Input [2]: [d_date_sk#26, d_year#70] Arguments: [d_date_sk#26], [d_date_sk#26] (50) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/extended.txt index b47fce49b3..da39e62cc0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -55,4 +55,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 21 out of 47 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/simplified.txt index 77a45c46cd..8eb5c052f8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q18.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2))),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2)))] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/explain.txt index c699bf18de..a301c4d5c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/simplified.txt index fb0ed62abe..76272d2780 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/explain.txt index 65cbe8c435..be81280257 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * Filter (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometFilter (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -125,23 +125,21 @@ Results [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Arguments: hashpartitioning(w_warehouse_name#7, i_item_id#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Keys [2]: [w_warehouse_name#7, i_item_id#11] Functions [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END), sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)] -Aggregate Attributes [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19] -Results [4]: [w_warehouse_name#7, i_item_id#11, sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18 AS inv_before#20, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19 AS inv_after#21] -(24) Filter [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Condition : (CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) <= 1.5) END) +(23) CometFilter +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Condition : (CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) <= 1.5) END) + +(24) CometTakeOrderedAndProject +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#7 ASC NULLS FIRST,i_item_id#11 ASC NULLS FIRST], output=[w_warehouse_name#7,i_item_id#11,inv_before#18,inv_after#19]), [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19], 100, 0, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] -(25) TakeOrderedAndProject -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Arguments: 100, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] +(25) CometColumnarToRow [codegen id : 5] +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/extended.txt index 51fcfd010a..e57bd3e7a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -32,4 +32,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 10 out of 27 eligible operators (37%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/simplified.txt index 94925f8911..b271d6e683 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q21.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] - WholeStageCodegen (5) - Filter [inv_before,inv_after] - HashAggregate [w_warehouse_name,i_item_id,sum,sum] [sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),inv_before,inv_after,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] + CometFilter [w_warehouse_name,i_item_id,inv_before,inv_after] + CometHashAggregate [sum,sum] [w_warehouse_name,i_item_id,inv_before,inv_after,sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END)] CometColumnarExchange [w_warehouse_name,i_item_id] #1 WholeStageCodegen (4) HashAggregate [w_warehouse_name,i_item_id,d_date,inv_quantity_on_hand] [sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/explain.txt index f25f305679..774063d308 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * HashAggregate (24) - +- * CometColumnarToRow (23) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometHashAggregate (23) +- CometColumnarExchange (22) +- * HashAggregate (21) +- * Expand (20) @@ -129,19 +129,17 @@ Results [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_gr Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Arguments: hashpartitioning(i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Keys [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#26] -Results [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, avg(inv_quantity_on_hand#3)#26 AS qoh#27] -(25) TakeOrderedAndProject -Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] -Arguments: 100, [qoh#27 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] +(24) CometTakeOrderedAndProject +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#26 ASC NULLS FIRST,i_product_name#17 ASC NULLS FIRST,i_brand#18 ASC NULLS FIRST,i_class#19 ASC NULLS FIRST,i_category#20 ASC NULLS FIRST], output=[i_product_name#17,i_brand#18,i_class#19,i_category#20,qoh#26]), [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26], 100, 0, [qoh#26 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] + +(25) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] ===== Subqueries ===== @@ -154,18 +152,18 @@ BroadcastExchange (30) (26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#28] +Output [2]: [d_date_sk#6, d_month_seq#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (27) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#28] -Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#6)) +Input [2]: [d_date_sk#6, d_month_seq#27] +Condition : (((isnotnull(d_month_seq#27) AND (d_month_seq#27 >= 1200)) AND (d_month_seq#27 <= 1211)) AND isnotnull(d_date_sk#6)) (28) CometProject -Input [2]: [d_date_sk#6, d_month_seq#28] +Input [2]: [d_date_sk#6, d_month_seq#27] Arguments: [d_date_sk#6], [d_date_sk#6] (29) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/extended.txt index 9b15a52cff..2f9297d93b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -34,4 +34,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 12 out of 29 eligible operators (41%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 29 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/simplified.txt index 092e187177..5b2368f30b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/explain.txt index 0170395540..7fc2df10cc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/explain.txt @@ -15,10 +15,10 @@ : : : :- * ColumnarToRow (2) : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : +- BroadcastExchange (21) - : : : +- * Project (20) - : : : +- * Filter (19) - : : : +- * HashAggregate (18) - : : : +- * CometColumnarToRow (17) + : : : +- * CometColumnarToRow (20) + : : : +- CometProject (19) + : : : +- CometFilter (18) + : : : +- CometHashAggregate (17) : : : +- CometColumnarExchange (16) : : : +- * HashAggregate (15) : : : +- * Project (14) @@ -147,31 +147,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(19) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(18) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(19) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(20) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(20) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (21) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (22) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -188,199 +186,199 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (26) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (27) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (28) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (29) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (30) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (31) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (32) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (33) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (34) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (35) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (36) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (37) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (38) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (39) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (40) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (41) CometProject Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] (42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (44) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (45) CometBroadcastExchange -Input [1]: [d_date_sk#30] -Arguments: [d_date_sk#30] +Input [1]: [d_date_sk#29] +Arguments: [d_date_sk#29] (46) CometBroadcastHashJoin Left output [3]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [d_date_sk#30] -Arguments: [cs_sold_date_sk#5], [d_date_sk#30], Inner, BuildRight +Right output [1]: [d_date_sk#29] +Arguments: [cs_sold_date_sk#5], [d_date_sk#29], Inner, BuildRight (47) CometProject -Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#30] -Arguments: [sales#33], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#33] +Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#29] +Arguments: [sales#32], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#32] (48) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#38), dynamicpruningexpression(ws_sold_date_sk#38 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#37), dynamicpruningexpression(ws_sold_date_sk#37 IN dynamicpruning#6)] ReadSchema: struct (49) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (50) ReusedExchange [Reuses operator id: 21] -Output [1]: [item_sk#18] +Output [1]: [item_sk#17] (51) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#34] -Right keys [1]: [item_sk#18] +Left keys [1]: [ws_item_sk#33] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None (52) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (53) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: hashpartitioning(ws_bill_customer_sk#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: hashpartitioning(ws_bill_customer_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] (54) CometSort -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_bill_customer_sk#35 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_bill_customer_sk#34 ASC NULLS FIRST] (55) ReusedExchange [Reuses operator id: 35] -Output [3]: [c_customer_sk#24, sum#25, isEmpty#26] +Output [3]: [c_customer_sk#23, sum#24, isEmpty#25] (56) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (57) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (58) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (59) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (60) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [c_customer_sk#24] -Arguments: [ws_bill_customer_sk#35], [c_customer_sk#24], LeftSemi +Left output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [c_customer_sk#23] +Arguments: [ws_bill_customer_sk#34], [c_customer_sk#23], LeftSemi (61) CometProject -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (62) ReusedExchange [Reuses operator id: 45] -Output [1]: [d_date_sk#39] +Output [1]: [d_date_sk#38] (63) CometBroadcastHashJoin -Left output [3]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [d_date_sk#39] -Arguments: [ws_sold_date_sk#38], [d_date_sk#39], Inner, BuildRight +Left output [3]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [d_date_sk#38] +Arguments: [ws_sold_date_sk#37], [d_date_sk#38], Inner, BuildRight (64) CometProject -Input [4]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38, d_date_sk#39] -Arguments: [sales#40], [(cast(ws_quantity#36 as decimal(10,0)) * ws_list_price#37) AS sales#40] +Input [4]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37, d_date_sk#38] +Arguments: [sales#39], [(cast(ws_quantity#35 as decimal(10,0)) * ws_list_price#36) AS sales#39] (65) CometUnion -Child 0 Input [1]: [sales#33] -Child 1 Input [1]: [sales#40] +Child 0 Input [1]: [sales#32] +Child 1 Input [1]: [sales#39] (66) CometHashAggregate -Input [1]: [sales#33] +Input [1]: [sales#32] Keys: [] -Functions [1]: [partial_sum(sales#33)] +Functions [1]: [partial_sum(sales#32)] (67) CometExchange -Input [2]: [sum#41, isEmpty#42] +Input [2]: [sum#40, isEmpty#41] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (68) CometHashAggregate -Input [2]: [sum#41, isEmpty#42] +Input [2]: [sum#40, isEmpty#41] Keys: [] -Functions [1]: [sum(sales#33)] +Functions [1]: [sum(sales#32)] (69) CometColumnarToRow [codegen id : 11] -Input [1]: [sum(sales)#43] +Input [1]: [sum(sales)#42] ===== Subqueries ===== @@ -393,25 +391,25 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (72) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (73) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] (74) BroadcastExchange -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] Subquery:2 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -423,18 +421,18 @@ BroadcastExchange (79) (75) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#44] +Output [3]: [d_date_sk#10, d_date#11, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (76) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#44] -Condition : (d_year#44 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#43] +Condition : (d_year#43 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (77) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#44] +Input [3]: [d_date_sk#10, d_date#11, d_year#43] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (78) CometColumnarToRow [codegen id : 1] @@ -444,159 +442,149 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (99) -+- * CometColumnarToRow (98) - +- CometColumnarExchange (97) - +- * HashAggregate (96) - +- * HashAggregate (95) - +- * CometColumnarToRow (94) - +- CometColumnarExchange (93) - +- * HashAggregate (92) - +- * Project (91) - +- * BroadcastHashJoin Inner BuildRight (90) - :- * Project (88) - : +- * BroadcastHashJoin Inner BuildRight (87) - : :- * Filter (82) - : : +- * ColumnarToRow (81) - : : +- Scan parquet spark_catalog.default.store_sales (80) - : +- BroadcastExchange (86) - : +- * CometColumnarToRow (85) - : +- CometFilter (84) - : +- CometNativeScan parquet spark_catalog.default.customer (83) - +- ReusedExchange (89) +Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (98) ++- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- CometColumnarExchange (93) + +- * HashAggregate (92) + +- * Project (91) + +- * BroadcastHashJoin Inner BuildRight (90) + :- * Project (88) + : +- * BroadcastHashJoin Inner BuildRight (87) + : :- * Filter (82) + : : +- * ColumnarToRow (81) + : : +- Scan parquet spark_catalog.default.store_sales (80) + : +- BroadcastExchange (86) + : +- * CometColumnarToRow (85) + : +- CometFilter (84) + : +- CometNativeScan parquet spark_catalog.default.customer (83) + +- ReusedExchange (89) (80) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#45, ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48] +Output [4]: [ss_customer_sk#44, ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#48), dynamicpruningexpression(ss_sold_date_sk#48 IN dynamicpruning#49)] +PartitionFilters: [isnotnull(ss_sold_date_sk#47), dynamicpruningexpression(ss_sold_date_sk#47 IN dynamicpruning#48)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (81) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#45, ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48] +Input [4]: [ss_customer_sk#44, ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47] (82) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#45, ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48] -Condition : isnotnull(ss_customer_sk#45) +Input [4]: [ss_customer_sk#44, ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47] +Condition : isnotnull(ss_customer_sk#44) (83) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#50] +Output [1]: [c_customer_sk#49] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (84) CometFilter -Input [1]: [c_customer_sk#50] -Condition : isnotnull(c_customer_sk#50) +Input [1]: [c_customer_sk#49] +Condition : isnotnull(c_customer_sk#49) (85) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#50] +Input [1]: [c_customer_sk#49] (86) BroadcastExchange -Input [1]: [c_customer_sk#50] +Input [1]: [c_customer_sk#49] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] (87) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#45] -Right keys [1]: [c_customer_sk#50] +Left keys [1]: [ss_customer_sk#44] +Right keys [1]: [c_customer_sk#49] Join type: Inner Join condition: None (88) Project [codegen id : 3] -Output [4]: [ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48, c_customer_sk#50] -Input [5]: [ss_customer_sk#45, ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48, c_customer_sk#50] +Output [4]: [ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47, c_customer_sk#49] +Input [5]: [ss_customer_sk#44, ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47, c_customer_sk#49] -(89) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#51] +(89) ReusedExchange [Reuses operator id: 103] +Output [1]: [d_date_sk#50] (90) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#48] -Right keys [1]: [d_date_sk#51] +Left keys [1]: [ss_sold_date_sk#47] +Right keys [1]: [d_date_sk#50] Join type: Inner Join condition: None (91) Project [codegen id : 3] -Output [3]: [ss_quantity#46, ss_sales_price#47, c_customer_sk#50] -Input [5]: [ss_quantity#46, ss_sales_price#47, ss_sold_date_sk#48, c_customer_sk#50, d_date_sk#51] +Output [3]: [ss_quantity#45, ss_sales_price#46, c_customer_sk#49] +Input [5]: [ss_quantity#45, ss_sales_price#46, ss_sold_date_sk#47, c_customer_sk#49, d_date_sk#50] (92) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#46, ss_sales_price#47, c_customer_sk#50] -Keys [1]: [c_customer_sk#50] -Functions [1]: [partial_sum((cast(ss_quantity#46 as decimal(10,0)) * ss_sales_price#47))] -Aggregate Attributes [2]: [sum#52, isEmpty#53] -Results [3]: [c_customer_sk#50, sum#54, isEmpty#55] +Input [3]: [ss_quantity#45, ss_sales_price#46, c_customer_sk#49] +Keys [1]: [c_customer_sk#49] +Functions [1]: [partial_sum((cast(ss_quantity#45 as decimal(10,0)) * ss_sales_price#46))] +Aggregate Attributes [2]: [sum#51, isEmpty#52] +Results [3]: [c_customer_sk#49, sum#53, isEmpty#54] (93) CometColumnarExchange -Input [3]: [c_customer_sk#50, sum#54, isEmpty#55] -Arguments: hashpartitioning(c_customer_sk#50, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +Input [3]: [c_customer_sk#49, sum#53, isEmpty#54] +Arguments: hashpartitioning(c_customer_sk#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(94) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#50, sum#54, isEmpty#55] +(94) CometHashAggregate +Input [3]: [c_customer_sk#49, sum#53, isEmpty#54] +Keys [1]: [c_customer_sk#49] +Functions [1]: [sum((cast(ss_quantity#45 as decimal(10,0)) * ss_sales_price#46))] -(95) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#50, sum#54, isEmpty#55] -Keys [1]: [c_customer_sk#50] -Functions [1]: [sum((cast(ss_quantity#46 as decimal(10,0)) * ss_sales_price#47))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#46 as decimal(10,0)) * ss_sales_price#47))#56] -Results [1]: [sum((cast(ss_quantity#46 as decimal(10,0)) * ss_sales_price#47))#56 AS csales#57] - -(96) HashAggregate [codegen id : 4] -Input [1]: [csales#57] +(95) CometHashAggregate +Input [1]: [csales#55] Keys: [] -Functions [1]: [partial_max(csales#57)] -Aggregate Attributes [1]: [max#58] -Results [1]: [max#59] - -(97) CometColumnarExchange -Input [1]: [max#59] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_max(csales#55)] -(98) CometColumnarToRow [codegen id : 5] -Input [1]: [max#59] +(96) CometExchange +Input [1]: [max#56] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(99) HashAggregate [codegen id : 5] -Input [1]: [max#59] +(97) CometHashAggregate +Input [1]: [max#56] Keys: [] -Functions [1]: [max(csales#57)] -Aggregate Attributes [1]: [max(csales#57)#60] -Results [1]: [max(csales#57)#60 AS tpcds_cmax#61] +Functions [1]: [max(csales#55)] + +(98) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#57] -Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#48 IN dynamicpruning#49 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#47 IN dynamicpruning#48 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometNativeScan parquet spark_catalog.default.date_dim (99) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#51, d_year#62] +(99) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#50, d_year#58] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#51, d_year#62] -Condition : (d_year#62 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#51)) +(100) CometFilter +Input [2]: [d_date_sk#50, d_year#58] +Condition : (d_year#58 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#50)) -(102) CometProject -Input [2]: [d_date_sk#51, d_year#62] -Arguments: [d_date_sk#51], [d_date_sk#51] +(101) CometProject +Input [2]: [d_date_sk#50, d_year#58] +Arguments: [d_date_sk#50], [d_date_sk#50] -(103) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#51] +(102) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#50] -(104) BroadcastExchange -Input [1]: [d_date_sk#51] +(103) BroadcastExchange +Input [1]: [d_date_sk#50] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#38 IN dynamicpruning#6 +Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#37 IN dynamicpruning#6 -Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/extended.txt index aadeb13f7b..2730656763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/extended.txt @@ -20,10 +20,10 @@ CometColumnarToRow : : : : +- CometFilter : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -52,36 +52,35 @@ CometColumnarToRow : : +- CometProject : : +- CometFilter : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : +- CometHashAggregate : : +- CometExchange : : +- CometHashAggregate @@ -109,10 +108,10 @@ CometColumnarToRow : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : +- ReusedSubquery : : +- BroadcastExchange - : : +- Project - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -157,4 +156,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 83 out of 138 eligible operators (60%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 92 out of 138 eligible operators (66%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/simplified.txt index d42a6ba29e..c28b364bd5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23a.native_datafusion/simplified.txt @@ -28,11 +28,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -65,44 +65,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/explain.txt index c678959b08..78ac23b683 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/explain.txt @@ -18,10 +18,10 @@ : : : : : +- * ColumnarToRow (2) : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : : +- BroadcastExchange (22) - : : : : +- * Project (21) - : : : : +- * Filter (20) - : : : : +- * HashAggregate (19) - : : : : +- * CometColumnarToRow (18) + : : : : +- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometHashAggregate (18) : : : : +- CometColumnarExchange (17) : : : : +- * HashAggregate (16) : : : : +- * Project (15) @@ -173,31 +173,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(18) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(19) HashAggregate [codegen id : 4] +(18) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(20) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(19) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(20) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(21) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(21) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (22) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -214,287 +212,287 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (27) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (28) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (29) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (30) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (31) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (32) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (33) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (34) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (35) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (36) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (37) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (38) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (39) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (40) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (41) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (42) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] +Output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Condition : isnotnull(c_customer_sk#30) +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Condition : isnotnull(c_customer_sk#29) (44) CometExchange -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: hashpartitioning(c_customer_sk#30, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: hashpartitioning(c_customer_sk#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (45) CometSort -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#31, c_last_name#32], [c_customer_sk#30 ASC NULLS FIRST] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#30, c_last_name#31], [c_customer_sk#29 ASC NULLS FIRST] (46) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#24, sum#25, isEmpty#26] +Output [3]: [c_customer_sk#23, sum#24, isEmpty#25] (47) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (48) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (49) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (50) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (51) CometSortMergeJoin -Left output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Right output [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#30], [c_customer_sk#24], LeftSemi +Left output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Right output [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#29], [c_customer_sk#23], LeftSemi (52) CometProject -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34], [c_customer_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#31, 20, true, false, true) AS c_first_name#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#32, 30, true, false, true) AS c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33], [c_customer_sk#29, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#30, 20, true, false, true) AS c_first_name#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#31, 30, true, false, true) AS c_last_name#33] (53) CometBroadcastExchange -Input [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33] (54) CometBroadcastHashJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#30], Inner, BuildRight +Right output [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#29], Inner, BuildRight (55) CometProject -Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] +Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] (56) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (57) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (58) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (59) CometBroadcastExchange -Input [1]: [d_date_sk#35] -Arguments: [d_date_sk#35] +Input [1]: [d_date_sk#34] +Arguments: [d_date_sk#34] (60) CometBroadcastHashJoin -Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] -Right output [1]: [d_date_sk#35] -Arguments: [cs_sold_date_sk#5], [d_date_sk#35], Inner, BuildRight +Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] +Right output [1]: [d_date_sk#34] +Arguments: [cs_sold_date_sk#5], [d_date_sk#34], Inner, BuildRight (61) CometProject -Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34, d_date_sk#35] -Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] +Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33, d_date_sk#34] +Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] (62) CometHashAggregate -Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [partial_sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (63) CometExchange -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Arguments: hashpartitioning(c_last_name#34, c_first_name#33, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Arguments: hashpartitioning(c_last_name#33, c_first_name#32, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (64) CometHashAggregate -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (65) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#6)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct (66) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (67) Filter [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#41) +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#40) (68) ReusedExchange [Reuses operator id: 22] -Output [1]: [item_sk#18] +Output [1]: [item_sk#17] (69) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#40] -Right keys [1]: [item_sk#18] +Left keys [1]: [ws_item_sk#39] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None (70) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (71) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: hashpartitioning(ws_bill_customer_sk#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: hashpartitioning(ws_bill_customer_sk#40, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] (72) CometSort -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44], [ws_bill_customer_sk#41 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43], [ws_bill_customer_sk#40 ASC NULLS FIRST] (73) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#24, sum#25, isEmpty#26] +Output [3]: [c_customer_sk#23, sum#24, isEmpty#25] (74) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (75) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (76) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (77) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (78) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [1]: [c_customer_sk#24] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#24], LeftSemi +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [1]: [c_customer_sk#23] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#23], LeftSemi (79) ReusedExchange [Reuses operator id: 53] -Output [3]: [c_customer_sk#45, c_first_name#46, c_last_name#47] +Output [3]: [c_customer_sk#44, c_first_name#45, c_last_name#46] (80) CometBroadcastHashJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [3]: [c_customer_sk#45, c_first_name#46, c_last_name#47] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#45], Inner, BuildRight +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [3]: [c_customer_sk#44, c_first_name#45, c_last_name#46] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#44], Inner, BuildRight (81) CometProject -Input [7]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_customer_sk#45, c_first_name#46, c_last_name#47] -Arguments: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#46, c_last_name#47], [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#46, c_last_name#47] +Input [7]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_customer_sk#44, c_first_name#45, c_last_name#46] +Arguments: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#45, c_last_name#46], [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#45, c_last_name#46] (82) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#48] +Output [1]: [d_date_sk#47] (83) CometBroadcastHashJoin -Left output [5]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#46, c_last_name#47] -Right output [1]: [d_date_sk#48] -Arguments: [ws_sold_date_sk#44], [d_date_sk#48], Inner, BuildRight +Left output [5]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#45, c_last_name#46] +Right output [1]: [d_date_sk#47] +Arguments: [ws_sold_date_sk#43], [d_date_sk#47], Inner, BuildRight (84) CometProject -Input [6]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#46, c_last_name#47, d_date_sk#48] -Arguments: [ws_quantity#42, ws_list_price#43, c_first_name#46, c_last_name#47], [ws_quantity#42, ws_list_price#43, c_first_name#46, c_last_name#47] +Input [6]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#45, c_last_name#46, d_date_sk#47] +Arguments: [ws_quantity#41, ws_list_price#42, c_first_name#45, c_last_name#46], [ws_quantity#41, ws_list_price#42, c_first_name#45, c_last_name#46] (85) CometHashAggregate -Input [4]: [ws_quantity#42, ws_list_price#43, c_first_name#46, c_last_name#47] -Keys [2]: [c_last_name#47, c_first_name#46] -Functions [1]: [partial_sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [ws_quantity#41, ws_list_price#42, c_first_name#45, c_last_name#46] +Keys [2]: [c_last_name#46, c_first_name#45] +Functions [1]: [partial_sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (86) CometExchange -Input [4]: [c_last_name#47, c_first_name#46, sum#49, isEmpty#50] -Arguments: hashpartitioning(c_last_name#47, c_first_name#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +Input [4]: [c_last_name#46, c_first_name#45, sum#48, isEmpty#49] +Arguments: hashpartitioning(c_last_name#46, c_first_name#45, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] (87) CometHashAggregate -Input [4]: [c_last_name#47, c_first_name#46, sum#49, isEmpty#50] -Keys [2]: [c_last_name#47, c_first_name#46] -Functions [1]: [sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [c_last_name#46, c_first_name#45, sum#48, isEmpty#49] +Keys [2]: [c_last_name#46, c_first_name#45] +Functions [1]: [sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (88) CometUnion -Child 0 Input [3]: [c_last_name#34, c_first_name#33, sales#51] -Child 1 Input [3]: [c_last_name#47, c_first_name#46, sales#52] +Child 0 Input [3]: [c_last_name#33, c_first_name#32, sales#50] +Child 1 Input [3]: [c_last_name#46, c_first_name#45, sales#51] (89) CometTakeOrderedAndProject -Input [3]: [c_last_name#34, c_first_name#33, sales#51] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#34 ASC NULLS FIRST,c_first_name#33 ASC NULLS FIRST,sales#51 ASC NULLS FIRST], output=[c_last_name#34,c_first_name#33,sales#51]), [c_last_name#34, c_first_name#33, sales#51], 100, 0, [c_last_name#34 ASC NULLS FIRST, c_first_name#33 ASC NULLS FIRST, sales#51 ASC NULLS FIRST], [c_last_name#34, c_first_name#33, sales#51] +Input [3]: [c_last_name#33, c_first_name#32, sales#50] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#33 ASC NULLS FIRST,c_first_name#32 ASC NULLS FIRST,sales#50 ASC NULLS FIRST], output=[c_last_name#33,c_first_name#32,sales#50]), [c_last_name#33, c_first_name#32, sales#50], 100, 0, [c_last_name#33 ASC NULLS FIRST, c_first_name#32 ASC NULLS FIRST, sales#50 ASC NULLS FIRST], [c_last_name#33, c_first_name#32, sales#50] (90) CometColumnarToRow [codegen id : 11] -Input [3]: [c_last_name#34, c_first_name#33, sales#51] +Input [3]: [c_last_name#33, c_first_name#32, sales#50] ===== Subqueries ===== @@ -507,25 +505,25 @@ BroadcastExchange (95) (91) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (92) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (93) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (94) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] (95) BroadcastExchange -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] Subquery:2 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -537,18 +535,18 @@ BroadcastExchange (100) (96) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#53] +Output [3]: [d_date_sk#10, d_date#11, d_year#52] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (97) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#53] -Condition : (d_year#53 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#52] +Condition : (d_year#52 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (98) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#53] +Input [3]: [d_date_sk#10, d_date#11, d_year#52] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (99) CometColumnarToRow [codegen id : 1] @@ -558,161 +556,151 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (120) -+- * CometColumnarToRow (119) - +- CometColumnarExchange (118) - +- * HashAggregate (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * Filter (103) - : : +- * ColumnarToRow (102) - : : +- Scan parquet spark_catalog.default.store_sales (101) - : +- BroadcastExchange (107) - : +- * CometColumnarToRow (106) - : +- CometFilter (105) - : +- CometNativeScan parquet spark_catalog.default.customer (104) - +- ReusedExchange (110) +Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (119) ++- CometHashAggregate (118) + +- CometExchange (117) + +- CometHashAggregate (116) + +- CometHashAggregate (115) + +- CometColumnarExchange (114) + +- * HashAggregate (113) + +- * Project (112) + +- * BroadcastHashJoin Inner BuildRight (111) + :- * Project (109) + : +- * BroadcastHashJoin Inner BuildRight (108) + : :- * Filter (103) + : : +- * ColumnarToRow (102) + : : +- Scan parquet spark_catalog.default.store_sales (101) + : +- BroadcastExchange (107) + : +- * CometColumnarToRow (106) + : +- CometFilter (105) + : +- CometNativeScan parquet spark_catalog.default.customer (104) + +- ReusedExchange (110) (101) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#54, ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57] +Output [4]: [ss_customer_sk#53, ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#56), dynamicpruningexpression(ss_sold_date_sk#56 IN dynamicpruning#57)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (102) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#54, ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57] +Input [4]: [ss_customer_sk#53, ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56] (103) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#54, ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_customer_sk#54) +Input [4]: [ss_customer_sk#53, ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56] +Condition : isnotnull(ss_customer_sk#53) (104) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#59] +Output [1]: [c_customer_sk#58] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (105) CometFilter -Input [1]: [c_customer_sk#59] -Condition : isnotnull(c_customer_sk#59) +Input [1]: [c_customer_sk#58] +Condition : isnotnull(c_customer_sk#58) (106) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#59] +Input [1]: [c_customer_sk#58] (107) BroadcastExchange -Input [1]: [c_customer_sk#59] +Input [1]: [c_customer_sk#58] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] (108) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#54] -Right keys [1]: [c_customer_sk#59] +Left keys [1]: [ss_customer_sk#53] +Right keys [1]: [c_customer_sk#58] Join type: Inner Join condition: None (109) Project [codegen id : 3] -Output [4]: [ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57, c_customer_sk#59] -Input [5]: [ss_customer_sk#54, ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57, c_customer_sk#59] +Output [4]: [ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56, c_customer_sk#58] +Input [5]: [ss_customer_sk#53, ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56, c_customer_sk#58] -(110) ReusedExchange [Reuses operator id: 125] -Output [1]: [d_date_sk#60] +(110) ReusedExchange [Reuses operator id: 124] +Output [1]: [d_date_sk#59] (111) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#60] +Left keys [1]: [ss_sold_date_sk#56] +Right keys [1]: [d_date_sk#59] Join type: Inner Join condition: None (112) Project [codegen id : 3] -Output [3]: [ss_quantity#55, ss_sales_price#56, c_customer_sk#59] -Input [5]: [ss_quantity#55, ss_sales_price#56, ss_sold_date_sk#57, c_customer_sk#59, d_date_sk#60] +Output [3]: [ss_quantity#54, ss_sales_price#55, c_customer_sk#58] +Input [5]: [ss_quantity#54, ss_sales_price#55, ss_sold_date_sk#56, c_customer_sk#58, d_date_sk#59] (113) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#55, ss_sales_price#56, c_customer_sk#59] -Keys [1]: [c_customer_sk#59] -Functions [1]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_sales_price#56))] -Aggregate Attributes [2]: [sum#61, isEmpty#62] -Results [3]: [c_customer_sk#59, sum#63, isEmpty#64] +Input [3]: [ss_quantity#54, ss_sales_price#55, c_customer_sk#58] +Keys [1]: [c_customer_sk#58] +Functions [1]: [partial_sum((cast(ss_quantity#54 as decimal(10,0)) * ss_sales_price#55))] +Aggregate Attributes [2]: [sum#60, isEmpty#61] +Results [3]: [c_customer_sk#58, sum#62, isEmpty#63] (114) CometColumnarExchange -Input [3]: [c_customer_sk#59, sum#63, isEmpty#64] -Arguments: hashpartitioning(c_customer_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +Input [3]: [c_customer_sk#58, sum#62, isEmpty#63] +Arguments: hashpartitioning(c_customer_sk#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(115) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#59, sum#63, isEmpty#64] +(115) CometHashAggregate +Input [3]: [c_customer_sk#58, sum#62, isEmpty#63] +Keys [1]: [c_customer_sk#58] +Functions [1]: [sum((cast(ss_quantity#54 as decimal(10,0)) * ss_sales_price#55))] -(116) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#59, sum#63, isEmpty#64] -Keys [1]: [c_customer_sk#59] -Functions [1]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_sales_price#56))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_sales_price#56))#65] -Results [1]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_sales_price#56))#65 AS csales#66] - -(117) HashAggregate [codegen id : 4] -Input [1]: [csales#66] +(116) CometHashAggregate +Input [1]: [csales#64] Keys: [] -Functions [1]: [partial_max(csales#66)] -Aggregate Attributes [1]: [max#67] -Results [1]: [max#68] - -(118) CometColumnarExchange -Input [1]: [max#68] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [1]: [partial_max(csales#64)] -(119) CometColumnarToRow [codegen id : 5] -Input [1]: [max#68] +(117) CometExchange +Input [1]: [max#65] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] -(120) HashAggregate [codegen id : 5] -Input [1]: [max#68] +(118) CometHashAggregate +Input [1]: [max#65] Keys: [] -Functions [1]: [max(csales#66)] -Aggregate Attributes [1]: [max(csales#66)#69] -Results [1]: [max(csales#66)#69 AS tpcds_cmax#70] +Functions [1]: [max(csales#64)] + +(119) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#66] -Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (125) -+- * CometColumnarToRow (124) - +- CometProject (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#56 IN dynamicpruning#57 +BroadcastExchange (124) ++- * CometColumnarToRow (123) + +- CometProject (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(121) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#60, d_year#71] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#59, d_year#67] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter -Input [2]: [d_date_sk#60, d_year#71] -Condition : (d_year#71 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#60)) +(121) CometFilter +Input [2]: [d_date_sk#59, d_year#67] +Condition : (d_year#67 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#59)) -(123) CometProject -Input [2]: [d_date_sk#60, d_year#71] -Arguments: [d_date_sk#60], [d_date_sk#60] +(122) CometProject +Input [2]: [d_date_sk#59, d_year#67] +Arguments: [d_date_sk#59], [d_date_sk#59] -(124) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#60] +(123) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#59] -(125) BroadcastExchange -Input [1]: [d_date_sk#60] +(124) BroadcastExchange +Input [1]: [d_date_sk#59] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] -Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#6 +Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#6 -Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/extended.txt index d41bf0802a..43350a34d4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/extended.txt @@ -23,10 +23,10 @@ CometColumnarToRow : : : : : +- CometFilter : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- Filter - : : : : +- HashAggregate - : : : : +- CometColumnarToRow + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometHashAggregate : : : : +- CometColumnarExchange : : : : +- HashAggregate : : : : +- Project @@ -55,36 +55,35 @@ CometColumnarToRow : : : +- CometProject : : : +- CometFilter : : : : +- Subquery - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- CometHashAggregate : : : +- CometExchange : : : +- CometHashAggregate @@ -139,10 +138,10 @@ CometColumnarToRow : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : : +- ReusedSubquery : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -209,4 +208,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 131 out of 190 eligible operators (68%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 140 out of 190 eligible operators (73%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/simplified.txt index 41f01311f8..60f316ac02 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q23b.native_datafusion/simplified.txt @@ -31,11 +31,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -68,44 +68,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/explain.txt index acc9219af4..d9aa2b458a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/explain.txt index e478cdfc01..9cba9c531d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/explain.txt index e478cdfc01..9cba9c531d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24a/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/explain.txt index dbebe8f96d..558830a894 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/explain.txt index 548959be1b..6ae436026d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/explain.txt index 548959be1b..6ae436026d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#40] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#40] -Keys: [] -Functions [1]: [partial_avg(netpaid#40)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#71, count#72] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#71, count#72] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#39] Keys: [] -Functions [1]: [avg(netpaid#40)] -Aggregate Attributes [1]: [avg(netpaid#40)#73] -Results [1]: [(0.05 * avg(netpaid#40)#73) AS (0.05 * avg(netpaid))#74] +Functions [1]: [partial_avg(netpaid#39)] + +(73) CometExchange +Input [2]: [sum#65, count#66] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#65, count#66] +Keys: [] +Functions [1]: [avg(netpaid#39)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#67] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q24b/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/explain.txt index 15bdd29f61..fb667d0af5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum# Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Arguments: hashpartitioning(i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Keys [4]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23] Functions [3]: [sum(UnscaledValue(ss_net_profit#5)), sum(UnscaledValue(sr_net_loss#11)), sum(UnscaledValue(cs_net_profit#16))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_net_profit#5))#35, sum(UnscaledValue(sr_net_loss#11))#36, sum(UnscaledValue(cs_net_profit#16))#37] -Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#5))#35,17,2) AS store_sales_profit#38, MakeDecimal(sum(UnscaledValue(sr_net_loss#11))#36,17,2) AS store_returns_loss#39, MakeDecimal(sum(UnscaledValue(cs_net_profit#16))#37,17,2) AS catalog_sales_profit#40] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] -Arguments: 100, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#28 ASC NULLS FIRST,i_item_desc#27 ASC NULLS FIRST,s_store_id#24 ASC NULLS FIRST,s_store_name#23 ASC NULLS FIRST], output=[i_item_id#28,i_item_desc#27,s_store_id#24,s_store_name#23,store_sales_profit#35,store_returns_loss#36,catalog_sales_profit#37]), [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37], 100, 0, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#41, d_moy#42] +Output [3]: [d_date_sk#18, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,4), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 4)) AND (d_year#41 = 2001)) AND isnotnull(d_date_sk#18)) +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 4)) AND (d_year#38 = 2001)) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#43, d_moy#44] +Output [3]: [d_date_sk#19, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,10), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] -Condition : (((((isnotnull(d_moy#44) AND isnotnull(d_year#43)) AND (d_moy#44 >= 4)) AND (d_moy#44 <= 10)) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] +Condition : (((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 >= 4)) AND (d_moy#41 <= 10)) AND (d_year#40 = 2001)) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/simplified.txt index 288561a740..26085c6da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q25.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit)),store_sales_profit,store_returns_loss,catalog_sales_profit,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_net_profit,sr_net_loss,cs_net_profit] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/explain.txt index fb4c487ea9..bed2be1df2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(cs_quantity#4), avg(UnscaledValue(cs_list_price#5)), avg(UnscaledValue(cs_coupon_amt#7)), avg(UnscaledValue(cs_sales_price#6))] -Aggregate Attributes [4]: [avg(cs_quantity#4)#37, avg(UnscaledValue(cs_list_price#5))#38, avg(UnscaledValue(cs_coupon_amt#7))#39, avg(UnscaledValue(cs_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(cs_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(cs_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(cs_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(cs_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/extended.txt index 3b9d40795e..216a543cb5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/simplified.txt index 7eb9c67611..d18819295b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q26.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/explain.txt index b9e3e82684..238d894725 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (33) -+- * HashAggregate (32) - +- * CometColumnarToRow (31) +* CometColumnarToRow (33) ++- CometTakeOrderedAndProject (32) + +- CometHashAggregate (31) +- CometColumnarExchange (30) +- * HashAggregate (29) +- * Expand (28) @@ -173,19 +173,17 @@ Results [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Arguments: hashpartitioning(i_item_id#21, s_state#22, spark_grouping_id#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(31) CometColumnarToRow [codegen id : 6] -Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] - -(32) HashAggregate [codegen id : 6] +(31) CometHashAggregate Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Keys [3]: [i_item_id#21, s_state#22, spark_grouping_id#23] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#40, avg(UnscaledValue(ss_list_price#5))#41, avg(UnscaledValue(ss_coupon_amt#7))#42, avg(UnscaledValue(ss_sales_price#6))#43] -Results [7]: [i_item_id#21, s_state#22, cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint) AS g_state#44, avg(ss_quantity#4)#40 AS agg1#45, cast((avg(UnscaledValue(ss_list_price#5))#41 / 100.0) as decimal(11,6)) AS agg2#46, cast((avg(UnscaledValue(ss_coupon_amt#7))#42 / 100.0) as decimal(11,6)) AS agg3#47, cast((avg(UnscaledValue(ss_sales_price#6))#43 / 100.0) as decimal(11,6)) AS agg4#48] -(33) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] +(32) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#40,agg1#41,agg2#42,agg3#43,agg4#44]), [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] + +(33) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] ===== Subqueries ===== @@ -198,18 +196,18 @@ BroadcastExchange (38) (34) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#49] +Output [2]: [d_date_sk#14, d_year#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct (35) CometFilter -Input [2]: [d_date_sk#14, d_year#49] -Condition : ((isnotnull(d_year#49) AND (d_year#49 = 2002)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#45] +Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2002)) AND isnotnull(d_date_sk#14)) (36) CometProject -Input [2]: [d_date_sk#14, d_year#49] +Input [2]: [d_date_sk#14, d_year#45] Arguments: [d_date_sk#14], [d_date_sk#14] (37) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/extended.txt index a4946e4771..798ce46d67 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -42,4 +42,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 16 out of 36 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 36 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/simplified.txt index dcb4953707..3a5aa3455b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q27.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,spark_grouping_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,spark_grouping_id,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id,s_state,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,spark_grouping_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/explain.txt index 20f1508413..a1008488cb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum# Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Arguments: hashpartitioning(i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Keys [4]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24] Functions [3]: [sum(ss_quantity#5), sum(sr_return_quantity#11), sum(cs_quantity#16)] -Aggregate Attributes [3]: [sum(ss_quantity#5)#36, sum(sr_return_quantity#11)#37, sum(cs_quantity#16)#38] -Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum(ss_quantity#5)#36 AS store_sales_quantity#39, sum(sr_return_quantity#11)#37 AS store_returns_quantity#40, sum(cs_quantity#16)#38 AS catalog_sales_quantity#41] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] -Arguments: 100, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#29 ASC NULLS FIRST,i_item_desc#28 ASC NULLS FIRST,s_store_id#25 ASC NULLS FIRST,s_store_name#24 ASC NULLS FIRST], output=[i_item_id#29,i_item_desc#28,s_store_id#25,s_store_name#24,store_sales_quantity#36,store_returns_quantity#37,catalog_sales_quantity#38]), [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38], 100, 0, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#42, d_moy#43] +Output [3]: [d_date_sk#19, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] -Condition : ((((isnotnull(d_moy#43) AND isnotnull(d_year#42)) AND (d_moy#43 = 9)) AND (d_year#42 = 1999)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_moy#40) AND isnotnull(d_year#39)) AND (d_moy#40 = 9)) AND (d_year#39 = 1999)) AND isnotnull(d_date_sk#19)) (46) CometProject -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] Arguments: [d_date_sk#19], [d_date_sk#19] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#20, d_year#44, d_moy#45] +Output [3]: [d_date_sk#20, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] -Condition : (((((isnotnull(d_moy#45) AND isnotnull(d_year#44)) AND (d_moy#45 >= 9)) AND (d_moy#45 <= 12)) AND (d_year#44 = 1999)) AND isnotnull(d_date_sk#20)) +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] +Condition : (((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 >= 9)) AND (d_moy#42 <= 12)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#20)) (51) CometProject -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] Arguments: [d_date_sk#20], [d_date_sk#20] (52) CometColumnarToRow [codegen id : 1] @@ -316,18 +314,18 @@ BroadcastExchange (58) (54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#21, d_year#46] +Output [2]: [d_date_sk#21, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct (55) CometFilter -Input [2]: [d_date_sk#21, d_year#46] -Condition : (d_year#46 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) +Input [2]: [d_date_sk#21, d_year#43] +Condition : (d_year#43 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) (56) CometProject -Input [2]: [d_date_sk#21, d_year#46] +Input [2]: [d_date_sk#21, d_year#43] Arguments: [d_date_sk#21], [d_date_sk#21] (57) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/extended.txt index dacaab515f..43564057a5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -72,4 +72,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 25 out of 61 eligible operators (40%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 27 out of 61 eligible operators (44%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/simplified.txt index 54bdbeeb5a..d60e5604ed 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q29.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity),store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity)] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_quantity,sr_return_quantity,cs_quantity] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/explain.txt index 7992727538..bbd61e6849 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.web_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.web_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.web_returns @@ -70,7 +66,7 @@ Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] Condition : (isnotnull(wr_returning_addr_sk#2) AND isnotnull(wr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,21 +122,16 @@ Results [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(wr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [wr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(wr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#3))#12] -Results [3]: [wr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(wr_return_amt#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.web_returns +(18) Scan parquet spark_catalog.default.web_returns Output [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] Batched: true Location: InMemoryFileIndex [] @@ -148,199 +139,181 @@ PartitionFilters: [isnotnull(wr_returned_date_sk#4), dynamicpruningexpression(wr PushedFilters: [IsNotNull(wr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] +(19) ColumnarToRow [codegen id : 6] Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] -(21) Filter [codegen id : 6] +(20) Filter [codegen id : 6] Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] Condition : isnotnull(wr_returning_addr_sk#2) -(22) ReusedExchange [Reuses operator id: 59] +(21) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] -(23) BroadcastHashJoin [codegen id : 6] +(22) BroadcastHashJoin [codegen id : 6] Left keys [1]: [wr_returned_date_sk#4] Right keys [1]: [d_date_sk#6] Join type: Inner Join condition: None -(24) Project [codegen id : 6] +(23) Project [codegen id : 6] Output [3]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3] Input [5]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4, d_date_sk#6] -(25) ReusedExchange [Reuses operator id: 11] +(24) ReusedExchange [Reuses operator id: 11] Output [2]: [ca_address_sk#7, ca_state#9] -(26) BroadcastHashJoin [codegen id : 6] +(25) BroadcastHashJoin [codegen id : 6] Left keys [1]: [wr_returning_addr_sk#2] Right keys [1]: [ca_address_sk#7] Join type: Inner Join condition: None -(27) Project [codegen id : 6] +(26) Project [codegen id : 6] Output [3]: [wr_returning_customer_sk#1, wr_return_amt#3, ca_state#9] Input [5]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, ca_address_sk#7, ca_state#9] -(28) HashAggregate [codegen id : 6] +(27) HashAggregate [codegen id : 6] Input [3]: [wr_returning_customer_sk#1, wr_return_amt#3, ca_state#9] Keys [2]: [wr_returning_customer_sk#1, ca_state#9] Functions [1]: [partial_sum(UnscaledValue(wr_return_amt#3))] -Aggregate Attributes [1]: [sum#16] -Results [3]: [wr_returning_customer_sk#1, ca_state#9, sum#17] +Aggregate Attributes [1]: [sum#15] +Results [3]: [wr_returning_customer_sk#1, ca_state#9, sum#16] -(29) CometColumnarExchange -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#17] +(28) CometColumnarExchange +Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#16] Arguments: hashpartitioning(wr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#17] - -(31) HashAggregate [codegen id : 7] -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#17] +(29) CometHashAggregate +Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#16] Keys [2]: [wr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(wr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#3))#12] -Results [2]: [ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(wr_return_amt#3))#12,17,2) AS ctr_total_return#15] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#14, ctr_total_return#15] -Keys [1]: [ctr_state#14] -Functions [1]: [partial_avg(ctr_total_return#15)] -Aggregate Attributes [2]: [sum#18, count#19] -Results [3]: [ctr_state#14, sum#20, count#21] - -(33) CometColumnarExchange -Input [3]: [ctr_state#14, sum#20, count#21] -Arguments: hashpartitioning(ctr_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#14, sum#20, count#21] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#14, sum#20, count#21] -Keys [1]: [ctr_state#14] -Functions [1]: [avg(ctr_total_return#15)] -Aggregate Attributes [1]: [avg(ctr_total_return#15)#22] -Results [2]: [(avg(ctr_total_return#15)#22 * 1.2) AS (avg(ctr_total_return) * 1.2)#23, ctr_state#14 AS ctr_state#14#24] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#23) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#14#24] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#23) -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] +(30) CometHashAggregate +Input [2]: [ctr_state#13, ctr_total_return#14] +Keys [1]: [ctr_state#13] +Functions [1]: [partial_avg(ctr_total_return#14)] + +(31) CometExchange +Input [3]: [ctr_state#13, sum#17, count#18] +Arguments: hashpartitioning(ctr_state#13, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#13, sum#17, count#18] +Keys [1]: [ctr_state#13] +Functions [1]: [avg(ctr_total_return#14)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#19) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [ctr_state#13], [ctr_state#13#20], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#19), BuildRight -(40) CometNativeScan parquet spark_catalog.default.customer -Output [14]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#36, c_email_address#37, c_last_review_date#38] +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [14]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26, c_preferred_cust_flag#27, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#32, c_email_address#33, c_last_review_date#34] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [14]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#36, c_email_address#37, c_last_review_date#38] -Condition : (isnotnull(c_customer_sk#25) AND isnotnull(c_current_addr_sk#27)) - -(42) CometProject -Input [14]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#36, c_email_address#37, c_last_review_date#38] -Arguments: [c_customer_sk#25, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38], [c_customer_sk#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#26, 16, true, false, true) AS c_customer_id#39, c_current_addr_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#28, 10, true, false, true) AS c_salutation#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#41, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#42, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#31, 1, true, false, true) AS c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#36, 13, true, false, true) AS c_login#44, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#37, 50, true, false, true) AS c_email_address#45, c_last_review_date#38] +(38) CometFilter +Input [14]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26, c_preferred_cust_flag#27, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#32, c_email_address#33, c_last_review_date#34] +Condition : (isnotnull(c_customer_sk#21) AND isnotnull(c_current_addr_sk#23)) -(43) CometColumnarToRow [codegen id : 9] -Input [14]: [c_customer_sk#25, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38] +(39) CometProject +Input [14]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26, c_preferred_cust_flag#27, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#32, c_email_address#33, c_last_review_date#34] +Arguments: [c_customer_sk#21, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34], [c_customer_sk#21, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#22, 16, true, false, true) AS c_customer_id#35, c_current_addr_sk#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#24, 10, true, false, true) AS c_salutation#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#25, 20, true, false, true) AS c_first_name#37, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#26, 30, true, false, true) AS c_last_name#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#27, 1, true, false, true) AS c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#32, 13, true, false, true) AS c_login#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#33, 50, true, false, true) AS c_email_address#41, c_last_review_date#34] -(44) BroadcastExchange -Input [14]: [c_customer_sk#25, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [14]: [c_customer_sk#21, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] +Arguments: [c_customer_sk#21, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#25] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [14]: [c_customer_sk#21, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] +Arguments: [ctr_customer_sk#12], [c_customer_sk#21], Inner, BuildRight -(46) Project [codegen id : 11] -Output [14]: [ctr_total_return#15, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38] -Input [16]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#25, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38] +(42) CometProject +Input [16]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#21, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] +Arguments: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34], [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#46, ca_state#47] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#42, ca_state#43] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [2]: [ca_address_sk#46, ca_state#47] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#47, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#46)) +(44) CometFilter +Input [2]: [ca_address_sk#42, ca_state#43] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#43, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#42)) -(49) CometProject -Input [2]: [ca_address_sk#46, ca_state#47] -Arguments: [ca_address_sk#46], [ca_address_sk#46] +(45) CometProject +Input [2]: [ca_address_sk#42, ca_state#43] +Arguments: [ca_address_sk#42], [ca_address_sk#42] -(50) CometColumnarToRow [codegen id : 10] -Input [1]: [ca_address_sk#46] +(46) CometBroadcastExchange +Input [1]: [ca_address_sk#42] +Arguments: [ca_address_sk#42] -(51) BroadcastExchange -Input [1]: [ca_address_sk#46] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [14]: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34] +Right output [1]: [ca_address_sk#42] +Arguments: [c_current_addr_sk#23], [ca_address_sk#42], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#27] -Right keys [1]: [ca_address_sk#46] -Join type: Inner -Join condition: None +(48) CometProject +Input [15]: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#23, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ca_address_sk#42] +Arguments: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14], [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [13]: [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38, ctr_total_return#15] -Input [15]: [ctr_total_return#15, c_customer_id#39, c_current_addr_sk#27, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38, ca_address_sk#46] +(49) CometTakeOrderedAndProject +Input [13]: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#35 ASC NULLS FIRST,c_salutation#36 ASC NULLS FIRST,c_first_name#37 ASC NULLS FIRST,c_last_name#38 ASC NULLS FIRST,c_preferred_cust_flag#39 ASC NULLS FIRST,c_birth_day#28 ASC NULLS FIRST,c_birth_month#29 ASC NULLS FIRST,c_birth_year#30 ASC NULLS FIRST,c_birth_country#31 ASC NULLS FIRST,c_login#40 ASC NULLS FIRST,c_email_address#41 ASC NULLS FIRST,c_last_review_date#34 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#35,c_salutation#36,c_first_name#37,c_last_name#38,c_preferred_cust_flag#39,c_birth_day#28,c_birth_month#29,c_birth_year#30,c_birth_country#31,c_login#40,c_email_address#41,c_last_review_date#34,ctr_total_return#14]), [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14], 100, 0, [c_customer_id#35 ASC NULLS FIRST, c_salutation#36 ASC NULLS FIRST, c_first_name#37 ASC NULLS FIRST, c_last_name#38 ASC NULLS FIRST, c_preferred_cust_flag#39 ASC NULLS FIRST, c_birth_day#28 ASC NULLS FIRST, c_birth_month#29 ASC NULLS FIRST, c_birth_year#30 ASC NULLS FIRST, c_birth_country#31 ASC NULLS FIRST, c_login#40 ASC NULLS FIRST, c_email_address#41 ASC NULLS FIRST, c_last_review_date#34 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [13]: [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38, ctr_total_return#15] -Arguments: 100, [c_customer_id#39 ASC NULLS FIRST, c_salutation#40 ASC NULLS FIRST, c_first_name#41 ASC NULLS FIRST, c_last_name#42 ASC NULLS FIRST, c_preferred_cust_flag#43 ASC NULLS FIRST, c_birth_day#32 ASC NULLS FIRST, c_birth_month#33 ASC NULLS FIRST, c_birth_year#34 ASC NULLS FIRST, c_birth_country#35 ASC NULLS FIRST, c_login#44 ASC NULLS FIRST, c_email_address#45 ASC NULLS FIRST, c_last_review_date#38 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, c_preferred_cust_flag#43, c_birth_day#32, c_birth_month#33, c_birth_year#34, c_birth_country#35, c_login#44, c_email_address#45, c_last_review_date#38, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [13]: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#28, c_birth_month#29, c_birth_year#30, c_birth_country#31, c_login#40, c_email_address#41, c_last_review_date#34, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = wr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#48] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#44] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#48] -Condition : ((isnotnull(d_year#48) AND (d_year#48 = 2002)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#44] +Condition : ((isnotnull(d_year#44) AND (d_year#44 = 2002)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#48] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#44] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = wr_returned_date_sk#4 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = wr_returned_date_sk#4 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/extended.txt index 8373409822..8b414fe2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/simplified.txt index b7a7ece27e..ba7b136913 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q30.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ca_address_sk] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,wr_returning_customer_sk,ca_state,sum(UnscaledValue(wr_return_amt))] CometColumnarExchange [wr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_pre CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),ctr_state,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] - Project [wr_returning_customer_sk,wr_return_amt,ca_state] - BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] - Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return),ctr_state] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [wr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(wr_return_amt))] + CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] + Project [wr_returning_customer_sk,wr_return_amt,ca_state] + BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] + Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastExchange [ca_address_sk] #8 + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/explain.txt index 9ce8c738e8..5dab9eb583 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/explain.txt @@ -1,101 +1,95 @@ == Physical Plan == -* CometColumnarToRow (97) -+- CometSort (96) - +- CometColumnarExchange (95) - +- * Project (94) - +- * BroadcastHashJoin Inner BuildRight (93) - :- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (47) - : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : :- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * HashAggregate (16) - : : : : : +- * CometColumnarToRow (15) - : : : : : +- CometColumnarExchange (14) - : : : : : +- * HashAggregate (13) - : : : : : +- * Project (12) - : : : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : : : :- * Project (6) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : : +- ReusedExchange (4) - : : : : : +- BroadcastExchange (10) - : : : : : +- * CometColumnarToRow (9) - : : : : : +- CometFilter (8) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : : : +- BroadcastExchange (30) - : : : : +- * HashAggregate (29) - : : : : +- * CometColumnarToRow (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (22) - : : : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : : : :- * Filter (19) - : : : : : : +- * ColumnarToRow (18) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (17) - : : : : : +- ReusedExchange (20) - : : : : +- ReusedExchange (23) - : : : +- BroadcastExchange (45) - : : : +- * HashAggregate (44) - : : : +- * CometColumnarToRow (43) - : : : +- CometColumnarExchange (42) - : : : +- * HashAggregate (41) - : : : +- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (61) - : : +- * HashAggregate (60) - : : +- * CometColumnarToRow (59) - : : +- CometColumnarExchange (58) - : : +- * HashAggregate (57) - : : +- * Project (56) - : : +- * BroadcastHashJoin Inner BuildRight (55) - : : :- * Project (53) - : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : :- * Filter (50) - : : : : +- * ColumnarToRow (49) - : : : : +- Scan parquet spark_catalog.default.web_sales (48) - : : : +- ReusedExchange (51) - : : +- ReusedExchange (54) - : +- BroadcastExchange (76) - : +- * HashAggregate (75) - : +- * CometColumnarToRow (74) - : +- CometColumnarExchange (73) - : +- * HashAggregate (72) - : +- * Project (71) - : +- * BroadcastHashJoin Inner BuildRight (70) - : :- * Project (68) - : : +- * BroadcastHashJoin Inner BuildRight (67) - : : :- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.web_sales (63) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - +- BroadcastExchange (92) - +- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Project (87) - +- * BroadcastHashJoin Inner BuildRight (86) - :- * Project (84) - : +- * BroadcastHashJoin Inner BuildRight (83) - : :- * Filter (81) - : : +- * ColumnarToRow (80) - : : +- Scan parquet spark_catalog.default.web_sales (79) - : +- ReusedExchange (82) - +- ReusedExchange (85) +* CometColumnarToRow (91) ++- CometSort (90) + +- CometExchange (89) + +- CometProject (88) + +- CometBroadcastHashJoin (87) + :- CometProject (73) + : +- CometBroadcastHashJoin (72) + : :- CometBroadcastHashJoin (58) + : : :- CometProject (44) + : : : +- CometBroadcastHashJoin (43) + : : : :- CometBroadcastHashJoin (29) + : : : : :- CometHashAggregate (15) + : : : : : +- CometColumnarExchange (14) + : : : : : +- * HashAggregate (13) + : : : : : +- * Project (12) + : : : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : : : :- * Project (6) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : : +- ReusedExchange (4) + : : : : : +- BroadcastExchange (10) + : : : : : +- * CometColumnarToRow (9) + : : : : : +- CometFilter (8) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : : : +- CometBroadcastExchange (28) + : : : : +- CometHashAggregate (27) + : : : : +- CometColumnarExchange (26) + : : : : +- * HashAggregate (25) + : : : : +- * Project (24) + : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : :- * Project (21) + : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : :- * Filter (18) + : : : : : : +- * ColumnarToRow (17) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (16) + : : : : : +- ReusedExchange (19) + : : : : +- ReusedExchange (22) + : : : +- CometBroadcastExchange (42) + : : : +- CometHashAggregate (41) + : : : +- CometColumnarExchange (40) + : : : +- * HashAggregate (39) + : : : +- * Project (38) + : : : +- * BroadcastHashJoin Inner BuildRight (37) + : : : :- * Project (35) + : : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : : :- * Filter (32) + : : : : : +- * ColumnarToRow (31) + : : : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : : : +- ReusedExchange (33) + : : : +- ReusedExchange (36) + : : +- CometBroadcastExchange (57) + : : +- CometHashAggregate (56) + : : +- CometColumnarExchange (55) + : : +- * HashAggregate (54) + : : +- * Project (53) + : : +- * BroadcastHashJoin Inner BuildRight (52) + : : :- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- ReusedExchange (48) + : : +- ReusedExchange (51) + : +- CometBroadcastExchange (71) + : +- CometHashAggregate (70) + : +- CometColumnarExchange (69) + : +- * HashAggregate (68) + : +- * Project (67) + : +- * BroadcastHashJoin Inner BuildRight (66) + : :- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Filter (61) + : : : +- * ColumnarToRow (60) + : : : +- Scan parquet spark_catalog.default.web_sales (59) + : : +- ReusedExchange (62) + : +- ReusedExchange (65) + +- CometBroadcastExchange (86) + +- CometHashAggregate (85) + +- CometColumnarExchange (84) + +- * HashAggregate (83) + +- * Project (82) + +- * BroadcastHashJoin Inner BuildRight (81) + :- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Filter (76) + : : +- * ColumnarToRow (75) + : : +- Scan parquet spark_catalog.default.web_sales (74) + : +- ReusedExchange (77) + +- ReusedExchange (80) (1) Scan parquet spark_catalog.default.store_sales @@ -113,7 +107,7 @@ Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Condition : isnotnull(ss_addr_sk#1) -(4) ReusedExchange [Reuses operator id: 101] +(4) ReusedExchange [Reuses operator id: 95] Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] (5) BroadcastHashJoin [codegen id : 3] @@ -165,480 +159,445 @@ Results [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Arguments: hashpartitioning(ca_county#9, d_qoy#7, d_year#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 24] -Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] - -(16) HashAggregate [codegen id : 24] +(15) CometHashAggregate Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Keys [3]: [ca_county#9, d_qoy#7, d_year#6] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#12] -Results [3]: [ca_county#9, d_year#6, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS store_sales#13] -(17) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(16) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#16), dynamicpruningexpression(ss_sold_date_sk#16 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(17) ColumnarToRow [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] -(19) Filter [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] -Condition : isnotnull(ss_addr_sk#14) +(18) Filter [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_addr_sk#12) -(20) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(19) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#16] -Right keys [1]: [d_date_sk#18] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [4]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16, d_date_sk#18, d_year#19, d_qoy#20] - -(23) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#21, ca_county#22] +(21) Project [codegen id : 6] +Output [4]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14, d_date_sk#16, d_year#17, d_qoy#18] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_addr_sk#14] -Right keys [1]: [ca_address_sk#21] -Join type: Inner -Join condition: None +(22) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#19, ca_county#20] -(25) Project [codegen id : 6] -Output [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_address_sk#21, ca_county#22] - -(26) HashAggregate [codegen id : 6] -Input [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#23] -Results [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(27) CometColumnarExchange -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Arguments: hashpartitioning(ca_county#22, d_qoy#20, d_year#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(29) HashAggregate [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#15))#12] -Results [2]: [ca_county#22, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#15))#12,17,2) AS store_sales#25] - -(30) BroadcastExchange -Input [2]: [ca_county#22, store_sales#25] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#22] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_addr_sk#12] +Right keys [1]: [ca_address_sk#19] Join type: Inner Join condition: None -(32) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(24) Project [codegen id : 6] +Output [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_address_sk#19, ca_county#20] + +(25) HashAggregate [codegen id : 6] +Input [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#13))] +Aggregate Attributes [1]: [sum#21] +Results [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] + +(26) CometColumnarExchange +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Arguments: hashpartitioning(ca_county#20, d_qoy#18, d_year#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#13))] + +(28) CometBroadcastExchange +Input [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#20, store_sales#23] + +(29) CometBroadcastHashJoin +Left output [3]: [ca_county#9, d_year#6, store_sales#24] +Right output [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#9], [ca_county#20], Inner, BuildRight + +(30) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ss_sold_date_sk#27), dynamicpruningexpression(ss_sold_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(31) ColumnarToRow [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] -(34) Filter [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] -Condition : isnotnull(ss_addr_sk#26) +(32) Filter [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] +Condition : isnotnull(ss_addr_sk#25) -(35) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(33) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_sold_date_sk#28] -Right keys [1]: [d_date_sk#30] +(34) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_sold_date_sk#27] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [4]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30, d_year#31, d_qoy#32] +(35) Project [codegen id : 9] +Output [4]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27, d_date_sk#29, d_year#30, d_qoy#31] -(38) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#33, ca_county#34] +(36) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#32, ca_county#33] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_addr_sk#26] -Right keys [1]: [ca_address_sk#33] +(37) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_addr_sk#25] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_address_sk#33, ca_county#34] - -(41) HashAggregate [codegen id : 10] -Input [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum#35] -Results [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(42) CometColumnarExchange -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Arguments: hashpartitioning(ca_county#34, d_qoy#32, d_year#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(43) CometColumnarToRow [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(44) HashAggregate [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#27))#12] -Results [2]: [ca_county#34, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#27))#12,17,2) AS store_sales#37] - -(45) BroadcastExchange -Input [2]: [ca_county#34, store_sales#37] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(46) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#22] -Right keys [1]: [ca_county#34] -Join type: Inner -Join condition: None - -(47) Project [codegen id : 24] -Output [5]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37] -Input [7]: [ca_county#9, d_year#6, store_sales#13, ca_county#22, store_sales#25, ca_county#34, store_sales#37] - -(48) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(38) Project [codegen id : 9] +Output [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_address_sk#32, ca_county#33] + +(39) HashAggregate [codegen id : 9] +Input [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#26))] +Aggregate Attributes [1]: [sum#34] +Results [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] + +(40) CometColumnarExchange +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Arguments: hashpartitioning(ca_county#33, d_qoy#31, d_year#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(41) CometHashAggregate +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#26))] + +(42) CometBroadcastExchange +Input [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#33, store_sales#36] + +(43) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23] +Right output [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#20], [ca_county#33], Inner, BuildRight + +(44) CometProject +Input [7]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23, ca_county#33, store_sales#36] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] + +(45) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#40), dynamicpruningexpression(ws_sold_date_sk#40 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ws_sold_date_sk#39), dynamicpruningexpression(ws_sold_date_sk#39 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(49) ColumnarToRow [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(46) ColumnarToRow [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] -(50) Filter [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] -Condition : isnotnull(ws_bill_addr_sk#38) +(47) Filter [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] +Condition : isnotnull(ws_bill_addr_sk#37) -(51) ReusedExchange [Reuses operator id: 101] -Output [3]: [d_date_sk#41, d_year#42, d_qoy#43] +(48) ReusedExchange [Reuses operator id: 95] +Output [3]: [d_date_sk#40, d_year#41, d_qoy#42] -(52) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#40] -Right keys [1]: [d_date_sk#41] +(49) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#39] +Right keys [1]: [d_date_sk#40] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [4]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40, d_date_sk#41, d_year#42, d_qoy#43] +(50) Project [codegen id : 12] +Output [4]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39, d_date_sk#40, d_year#41, d_qoy#42] -(54) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#44, ca_county#45] +(51) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#43, ca_county#44] -(55) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#38] -Right keys [1]: [ca_address_sk#44] +(52) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#37] +Right keys [1]: [ca_address_sk#43] Join type: Inner Join condition: None -(56) Project [codegen id : 14] -Output [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_address_sk#44, ca_county#45] - -(57) HashAggregate [codegen id : 14] -Input [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum#46] -Results [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(58) CometColumnarExchange -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Arguments: hashpartitioning(ca_county#45, d_qoy#43, d_year#42, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(59) CometColumnarToRow [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(60) HashAggregate [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#39))#48] -Results [2]: [ca_county#45, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#39))#48,17,2) AS web_sales#49] - -(61) BroadcastExchange -Input [2]: [ca_county#45, web_sales#49] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(62) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#45] -Join type: Inner -Join condition: None - -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(53) Project [codegen id : 12] +Output [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_address_sk#43, ca_county#44] + +(54) HashAggregate [codegen id : 12] +Input [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#38))] +Aggregate Attributes [1]: [sum#45] +Results [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] + +(55) CometColumnarExchange +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Arguments: hashpartitioning(ca_county#44, d_qoy#42, d_year#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(56) CometHashAggregate +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#38))] + +(57) CometBroadcastExchange +Input [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#44, web_sales#47] + +(58) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] +Right output [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#9], [ca_county#44], Inner, BuildRight + +(59) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#52), dynamicpruningexpression(ws_sold_date_sk#52 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ws_sold_date_sk#50), dynamicpruningexpression(ws_sold_date_sk#50 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(60) ColumnarToRow [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] -(65) Filter [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] -Condition : isnotnull(ws_bill_addr_sk#50) +(61) Filter [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] +Condition : isnotnull(ws_bill_addr_sk#48) -(66) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#53, d_year#54, d_qoy#55] +(62) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#51, d_year#52, d_qoy#53] -(67) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#52] -Right keys [1]: [d_date_sk#53] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#50] +Right keys [1]: [d_date_sk#51] Join type: Inner Join condition: None -(68) Project [codegen id : 18] -Output [4]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52, d_date_sk#53, d_year#54, d_qoy#55] +(64) Project [codegen id : 15] +Output [4]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50, d_date_sk#51, d_year#52, d_qoy#53] -(69) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#56, ca_county#57] +(65) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#54, ca_county#55] -(70) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_bill_addr_sk#50] -Right keys [1]: [ca_address_sk#56] +(66) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_bill_addr_sk#48] +Right keys [1]: [ca_address_sk#54] Join type: Inner Join condition: None -(71) Project [codegen id : 18] -Output [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_address_sk#56, ca_county#57] - -(72) HashAggregate [codegen id : 18] -Input [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum#58] -Results [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(73) CometColumnarExchange -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Arguments: hashpartitioning(ca_county#57, d_qoy#55, d_year#54, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(74) CometColumnarToRow [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(75) HashAggregate [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#51))#48] -Results [2]: [ca_county#57, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#51))#48,17,2) AS web_sales#60] - -(76) BroadcastExchange -Input [2]: [ca_county#57, web_sales#60] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=10] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#57] -Join type: Inner -Join condition: (CASE WHEN (web_sales#49 > 0.00) THEN (web_sales#60 / web_sales#49) END > CASE WHEN (store_sales#13 > 0.00) THEN (store_sales#25 / store_sales#13) END) - -(78) Project [codegen id : 24] -Output [8]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60] -Input [9]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, ca_county#57, web_sales#60] - -(79) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(67) Project [codegen id : 15] +Output [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_address_sk#54, ca_county#55] + +(68) HashAggregate [codegen id : 15] +Input [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#49))] +Aggregate Attributes [1]: [sum#56] +Results [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] + +(69) CometColumnarExchange +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Arguments: hashpartitioning(ca_county#55, d_qoy#53, d_year#52, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(70) CometHashAggregate +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#49))] + +(71) CometBroadcastExchange +Input [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#55, web_sales#58] + +(72) CometBroadcastHashJoin +Left output [7]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47] +Right output [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#44], [ca_county#55], Inner, (CASE WHEN (web_sales#47 > 0.00) THEN (web_sales#58 / web_sales#47) END > CASE WHEN (store_sales#24 > 0.00) THEN (store_sales#23 / store_sales#24) END), BuildRight + +(73) CometProject +Input [9]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, ca_county#55, web_sales#58] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] + +(74) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#63), dynamicpruningexpression(ws_sold_date_sk#63 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ws_sold_date_sk#61), dynamicpruningexpression(ws_sold_date_sk#61 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(80) ColumnarToRow [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(75) ColumnarToRow [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] -(81) Filter [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] -Condition : isnotnull(ws_bill_addr_sk#61) +(76) Filter [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] +Condition : isnotnull(ws_bill_addr_sk#59) -(82) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#64, d_year#65, d_qoy#66] +(77) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#62, d_year#63, d_qoy#64] -(83) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#63] -Right keys [1]: [d_date_sk#64] +(78) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#61] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(84) Project [codegen id : 22] -Output [4]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63, d_date_sk#64, d_year#65, d_qoy#66] +(79) Project [codegen id : 18] +Output [4]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61, d_date_sk#62, d_year#63, d_qoy#64] -(85) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#67, ca_county#68] +(80) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#65, ca_county#66] -(86) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_bill_addr_sk#61] -Right keys [1]: [ca_address_sk#67] +(81) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_bill_addr_sk#59] +Right keys [1]: [ca_address_sk#65] Join type: Inner Join condition: None -(87) Project [codegen id : 22] -Output [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_address_sk#67, ca_county#68] - -(88) HashAggregate [codegen id : 22] -Input [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum#69] -Results [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(89) CometColumnarExchange -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Arguments: hashpartitioning(ca_county#68, d_qoy#66, d_year#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(90) CometColumnarToRow [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(91) HashAggregate [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#62))#48] -Results [2]: [ca_county#68, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#62))#48,17,2) AS web_sales#71] - -(92) BroadcastExchange -Input [2]: [ca_county#68, web_sales#71] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=12] - -(93) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#68] -Join type: Inner -Join condition: (CASE WHEN (web_sales#60 > 0.00) THEN (web_sales#71 / web_sales#60) END > CASE WHEN (store_sales#25 > 0.00) THEN (store_sales#37 / store_sales#25) END) +(82) Project [codegen id : 18] +Output [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_address_sk#65, ca_county#66] + +(83) HashAggregate [codegen id : 18] +Input [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#60))] +Aggregate Attributes [1]: [sum#67] +Results [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] + +(84) CometColumnarExchange +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Arguments: hashpartitioning(ca_county#66, d_qoy#64, d_year#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(85) CometHashAggregate +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#60))] + +(86) CometBroadcastExchange +Input [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#66, web_sales#69] + +(87) CometBroadcastHashJoin +Left output [8]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] +Right output [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#44], [ca_county#66], Inner, (CASE WHEN (web_sales#58 > 0.00) THEN (web_sales#69 / web_sales#58) END > CASE WHEN (store_sales#23 > 0.00) THEN (store_sales#36 / store_sales#23) END), BuildRight -(94) Project [codegen id : 24] -Output [6]: [ca_county#9, d_year#6, (web_sales#60 / web_sales#49) AS web_q1_q2_increase#72, (store_sales#25 / store_sales#13) AS store_q1_q2_increase#73, (web_sales#71 / web_sales#60) AS web_q2_q3_increase#74, (store_sales#37 / store_sales#25) AS store_q2_q3_increase#75] -Input [10]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60, ca_county#68, web_sales#71] +(88) CometProject +Input [10]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58, ca_county#66, web_sales#69] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9, d_year#6, (web_sales#58 / web_sales#47) AS web_q1_q2_increase#70, (store_sales#23 / store_sales#24) AS store_q1_q2_increase#71, (web_sales#69 / web_sales#58) AS web_q2_q3_increase#72, (store_sales#36 / store_sales#23) AS store_q2_q3_increase#73] -(95) CometColumnarExchange -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +(89) CometExchange +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(96) CometSort -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75], [ca_county#9 ASC NULLS FIRST] +(90) CometSort +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9 ASC NULLS FIRST] -(97) CometColumnarToRow [codegen id : 25] -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] +(91) CometColumnarToRow [codegen id : 19] +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (101) -+- * CometColumnarToRow (100) - +- CometFilter (99) - +- CometNativeScan parquet spark_catalog.default.date_dim (98) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(98) CometNativeScan parquet spark_catalog.default.date_dim +(92) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,1), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(99) CometFilter +(93) CometFilter Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] Condition : ((((isnotnull(d_qoy#7) AND isnotnull(d_year#6)) AND (d_qoy#7 = 1)) AND (d_year#6 = 2000)) AND isnotnull(d_date_sk#5)) -(100) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -(101) BroadcastExchange +(95) BroadcastExchange Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#16 IN dynamicpruning#17 -BroadcastExchange (105) -+- * CometColumnarToRow (104) - +- CometFilter (103) - +- CometNativeScan parquet spark_catalog.default.date_dim (102) +Subquery:2 Hosting operator id = 16 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#15 +BroadcastExchange (99) ++- * CometColumnarToRow (98) + +- CometFilter (97) + +- CometNativeScan parquet spark_catalog.default.date_dim (96) -(102) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(96) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(103) CometFilter -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Condition : ((((isnotnull(d_qoy#20) AND isnotnull(d_year#19)) AND (d_qoy#20 = 2)) AND (d_year#19 = 2000)) AND isnotnull(d_date_sk#18)) +(97) CometFilter +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2000)) AND isnotnull(d_date_sk#16)) -(104) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(98) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(105) BroadcastExchange -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(99) BroadcastExchange +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29 -BroadcastExchange (109) -+- * CometColumnarToRow (108) - +- CometFilter (107) - +- CometNativeScan parquet spark_catalog.default.date_dim (106) +Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometFilter (101) + +- CometNativeScan parquet spark_catalog.default.date_dim (100) -(106) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(100) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,3), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(107) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Condition : ((((isnotnull(d_qoy#32) AND isnotnull(d_year#31)) AND (d_qoy#32 = 3)) AND (d_year#31 = 2000)) AND isnotnull(d_date_sk#30)) +(101) CometFilter +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Condition : ((((isnotnull(d_qoy#31) AND isnotnull(d_year#30)) AND (d_qoy#31 = 3)) AND (d_year#30 = 2000)) AND isnotnull(d_date_sk#29)) -(108) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(102) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(109) BroadcastExchange -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=16] +(103) BroadcastExchange +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -Subquery:4 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#40 IN dynamicpruning#4 +Subquery:4 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#39 IN dynamicpruning#4 -Subquery:5 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#52 IN dynamicpruning#17 +Subquery:5 Hosting operator id = 59 Hosting Expression = ws_sold_date_sk#50 IN dynamicpruning#15 -Subquery:6 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#63 IN dynamicpruning#29 +Subquery:6 Hosting operator id = 74 Hosting Expression = ws_sold_date_sk#61 IN dynamicpruning#28 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/extended.txt index f6f3c8032a..2738ee5022 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/extended.txt @@ -1,150 +1,144 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : +- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : +- CometBroadcastExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 38 out of 120 eligible operators (31%). Final plan contains 28 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 57 out of 120 eligible operators (47%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/simplified.txt index f3a0572081..a8230fcbb2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q31.native_datafusion/simplified.txt @@ -1,166 +1,143 @@ -WholeStageCodegen (25) +WholeStageCodegen (19) CometColumnarToRow InputAdapter CometSort [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] - CometColumnarExchange [ca_county] #1 - WholeStageCodegen (24) - Project [ca_county,d_year,web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - Project [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - Project [ca_county,d_year,store_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - BroadcastHashJoin [ca_county,ca_county] - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #2 - WholeStageCodegen (3) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [ca_address_sk,ca_county] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #6 - WholeStageCodegen (6) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow + CometExchange [ca_county] #1 + CometProject [web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,ca_county,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales,ca_county,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales] + CometHashAggregate [d_qoy,sum] [ca_county,d_year,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #2 + WholeStageCodegen (3) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #9 - WholeStageCodegen (10) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #3 - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #10 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #12 - WholeStageCodegen (14) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [ca_address_sk,ca_county] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] + CometBroadcastExchange [ca_county,store_sales] #5 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #6 + WholeStageCodegen (6) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (19) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #14 - WholeStageCodegen (18) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #15 - WholeStageCodegen (23) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #16 - WholeStageCodegen (22) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,store_sales] #8 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #9 + WholeStageCodegen (9) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #3 + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter ReusedExchange [d_date_sk,d_year,d_qoy] #10 InputAdapter ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #11 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #12 + WholeStageCodegen (12) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #13 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #14 + WholeStageCodegen (15) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #15 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #16 + WholeStageCodegen (18) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #10 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/explain.txt index ea4c14a47b..3ac282599f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,33 +118,31 @@ Results [3]: [cs_item_sk#7, sum#13, count#14] Input [3]: [cs_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(cs_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [cs_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [cs_item_sk#7, sum#13, count#14] Keys [1]: [cs_item_sk#7] Functions [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(cs_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] +Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [cs_item_sk#7] Join type: Inner -Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#16) +Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [cs_ext_discount_amt#2, cs_sold_date_sk#3] -Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] Output [1]: [d_date_sk#10] @@ -163,22 +161,20 @@ Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#10] Input [1]: [cs_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#17] -Results [1]: [sum#18] +Aggregate Attributes [1]: [sum#16] +Results [1]: [sum#17] (29) CometColumnarExchange -Input [1]: [sum#18] +Input [1]: [sum#17] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#18] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#18] +(30) CometHashAggregate +Input [1]: [sum#17] Keys: [] Functions [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))#19] -Results [1]: [MakeDecimal(sum(UnscaledValue(cs_ext_discount_amt#2))#19,17,2) AS excess discount amount#20] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [excess discount amount#18] ===== Subqueries ===== @@ -191,18 +187,18 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_date#21] +Output [2]: [d_date_sk#10, d_date#19] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#10, d_date#21] -Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 2000-01-27)) AND (d_date#21 <= 2000-04-26)) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_date#19] +Condition : (((isnotnull(d_date#19) AND (d_date#19 >= 2000-01-27)) AND (d_date#19 <= 2000-04-26)) AND isnotnull(d_date_sk#10)) (34) CometProject -Input [2]: [d_date_sk#10, d_date#21] +Input [2]: [d_date_sk#10, d_date#19] Arguments: [d_date_sk#10], [d_date_sk#10] (35) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/extended.txt index 1eb8f397c3..bef02a0372 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/simplified.txt index 14c21b32a5..3ab00362fd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q32.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(cs_ext_discount_amt)),excess discount amount,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [excess discount amount,sum(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [cs_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(cs_ext_discount_amt))] - HashAggregate [cs_item_sk,sum,count] [avg(UnscaledValue(cs_ext_discount_amt)),(1.3 * avg(cs_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk,avg(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange [cs_item_sk] #5 WholeStageCodegen (3) HashAggregate [cs_item_sk,cs_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/explain.txt index f441da7c27..70cd1af3cc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/explain.txt @@ -1,78 +1,75 @@ == Physical Plan == -TakeOrderedAndProject (74) -+- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- Union (69) - :- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- CometColumnarExchange (26) - : +- * HashAggregate (25) - : +- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (52) - : +- * CometColumnarToRow (51) - : +- CometColumnarExchange (50) - : +- * HashAggregate (49) - : +- * Project (48) - : +- * BroadcastHashJoin Inner BuildRight (47) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * Project (34) - : : : +- * BroadcastHashJoin Inner BuildRight (33) - : : : :- * Filter (31) - : : : : +- * ColumnarToRow (30) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) - : : : +- ReusedExchange (32) - : : +- ReusedExchange (35) - : +- BroadcastExchange (46) - : +- * CometColumnarToRow (45) - : +- CometBroadcastHashJoin (44) - : :- CometFilter (39) - : : +- CometNativeScan parquet spark_catalog.default.item (38) - : +- CometBroadcastExchange (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.item (40) - +- * HashAggregate (68) - +- * CometColumnarToRow (67) - +- CometColumnarExchange (66) - +- * HashAggregate (65) - +- * Project (64) - +- * BroadcastHashJoin Inner BuildRight (63) - :- * Project (61) - : +- * BroadcastHashJoin Inner BuildRight (60) - : :- * Project (58) - : : +- * BroadcastHashJoin Inner BuildRight (57) - : : :- * Filter (55) - : : : +- * ColumnarToRow (54) - : : : +- Scan parquet spark_catalog.default.web_sales (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (59) - +- ReusedExchange (62) +* CometColumnarToRow (71) ++- CometTakeOrderedAndProject (70) + +- CometHashAggregate (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometUnion (66) + :- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (22) + : +- * CometColumnarToRow (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (50) + : +- CometColumnarExchange (49) + : +- * HashAggregate (48) + : +- * Project (47) + : +- * BroadcastHashJoin Inner BuildRight (46) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * Project (33) + : : : +- * BroadcastHashJoin Inner BuildRight (32) + : : : :- * Filter (30) + : : : : +- * ColumnarToRow (29) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (28) + : : : +- ReusedExchange (31) + : : +- ReusedExchange (34) + : +- BroadcastExchange (45) + : +- * CometColumnarToRow (44) + : +- CometBroadcastHashJoin (43) + : :- CometFilter (38) + : : +- CometNativeScan parquet spark_catalog.default.item (37) + : +- CometBroadcastExchange (42) + : +- CometProject (41) + : +- CometFilter (40) + : +- CometNativeScan parquet spark_catalog.default.item (39) + +- CometHashAggregate (65) + +- CometColumnarExchange (64) + +- * HashAggregate (63) + +- * Project (62) + +- * BroadcastHashJoin Inner BuildRight (61) + :- * Project (59) + : +- * BroadcastHashJoin Inner BuildRight (58) + : :- * Project (56) + : : +- * BroadcastHashJoin Inner BuildRight (55) + : : :- * Filter (53) + : : : +- * ColumnarToRow (52) + : : : +- Scan parquet spark_catalog.default.web_sales (51) + : : +- ReusedExchange (54) + : +- ReusedExchange (57) + +- ReusedExchange (60) (1) Scan parquet spark_catalog.default.store_sales @@ -90,7 +87,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 79] +(4) ReusedExchange [Reuses operator id: 76] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -197,265 +194,249 @@ Results [2]: [i_manufact_id#10, sum#14] Input [2]: [i_manufact_id#10, sum#14] Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(27) CometColumnarToRow [codegen id : 5] -Input [2]: [i_manufact_id#10, sum#14] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [2]: [i_manufact_id#10, sum#14] Keys [1]: [i_manufact_id#10] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#15] -Results [2]: [i_manufact_id#10, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#15,17,2) AS total_sales#16] -(29) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(28) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#18), dynamicpruningexpression(cs_sold_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(30) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(29) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] -(31) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) +(30) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] +Condition : (isnotnull(cs_bill_addr_sk#15) AND isnotnull(cs_item_sk#16)) -(32) ReusedExchange [Reuses operator id: 79] -Output [1]: [d_date_sk#21] +(31) ReusedExchange [Reuses operator id: 76] +Output [1]: [d_date_sk#19] -(33) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#20] -Right keys [1]: [d_date_sk#21] +(32) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(34) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] -Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] +(33) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17] +Input [5]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18, d_date_sk#19] -(35) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#22] +(34) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#20] -(36) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#17] -Right keys [1]: [ca_address_sk#22] +(35) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#15] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(37) Project [codegen id : 9] -Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] +(36) Project [codegen id : 8] +Output [2]: [cs_item_sk#16, cs_ext_sales_price#17] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, ca_address_sk#20] -(38) CometNativeScan parquet spark_catalog.default.item -Output [2]: [i_item_sk#23, i_manufact_id#24] +(37) CometNativeScan parquet spark_catalog.default.item +Output [2]: [i_item_sk#21, i_manufact_id#22] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(39) CometFilter -Input [2]: [i_item_sk#23, i_manufact_id#24] -Condition : isnotnull(i_item_sk#23) +(38) CometFilter +Input [2]: [i_item_sk#21, i_manufact_id#22] +Condition : isnotnull(i_item_sk#21) -(40) CometNativeScan parquet spark_catalog.default.item +(39) CometNativeScan parquet spark_catalog.default.item Output [2]: [i_category#11, i_manufact_id#10] Batched: true Location [not included in comparison]/{warehouse_dir}/item] ReadSchema: struct -(41) CometFilter +(40) CometFilter Input [2]: [i_category#11, i_manufact_id#10] Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_category#11, 50, true, false, true) = Electronics ) -(42) CometProject +(41) CometProject Input [2]: [i_category#11, i_manufact_id#10] Arguments: [i_manufact_id#10], [i_manufact_id#10] -(43) CometBroadcastExchange +(42) CometBroadcastExchange Input [1]: [i_manufact_id#10] Arguments: [i_manufact_id#10] -(44) CometBroadcastHashJoin -Left output [2]: [i_item_sk#23, i_manufact_id#24] +(43) CometBroadcastHashJoin +Left output [2]: [i_item_sk#21, i_manufact_id#22] Right output [1]: [i_manufact_id#10] -Arguments: [i_manufact_id#24], [i_manufact_id#10], LeftSemi, BuildRight +Arguments: [i_manufact_id#22], [i_manufact_id#10], LeftSemi, BuildRight -(45) CometColumnarToRow [codegen id : 8] -Input [2]: [i_item_sk#23, i_manufact_id#24] +(44) CometColumnarToRow [codegen id : 7] +Input [2]: [i_item_sk#21, i_manufact_id#22] -(46) BroadcastExchange -Input [2]: [i_item_sk#23, i_manufact_id#24] +(45) BroadcastExchange +Input [2]: [i_item_sk#21, i_manufact_id#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=4] -(47) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#18] -Right keys [1]: [i_item_sk#23] +(46) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#16] +Right keys [1]: [i_item_sk#21] Join type: Inner Join condition: None -(48) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_manufact_id#24] - -(49) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Keys [1]: [i_manufact_id#24] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum#25] -Results [2]: [i_manufact_id#24, sum#26] - -(50) CometColumnarExchange -Input [2]: [i_manufact_id#24, sum#26] -Arguments: hashpartitioning(i_manufact_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(51) CometColumnarToRow [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] - -(52) HashAggregate [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] -Keys [1]: [i_manufact_id#24] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#19))#27] -Results [2]: [i_manufact_id#24, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#19))#27,17,2) AS total_sales#28] - -(53) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(47) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Input [4]: [cs_item_sk#16, cs_ext_sales_price#17, i_item_sk#21, i_manufact_id#22] + +(48) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Keys [1]: [i_manufact_id#22] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#17))] +Aggregate Attributes [1]: [sum#23] +Results [2]: [i_manufact_id#22, sum#24] + +(49) CometColumnarExchange +Input [2]: [i_manufact_id#22, sum#24] +Arguments: hashpartitioning(i_manufact_id#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(50) CometHashAggregate +Input [2]: [i_manufact_id#22, sum#24] +Keys [1]: [i_manufact_id#22] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#17))] + +(51) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#32), dynamicpruningexpression(ws_sold_date_sk#32 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#28), dynamicpruningexpression(ws_sold_date_sk#28 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(52) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] -(55) Filter [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] -Condition : (isnotnull(ws_bill_addr_sk#30) AND isnotnull(ws_item_sk#29)) +(53) Filter [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] +Condition : (isnotnull(ws_bill_addr_sk#26) AND isnotnull(ws_item_sk#25)) -(56) ReusedExchange [Reuses operator id: 79] -Output [1]: [d_date_sk#33] +(54) ReusedExchange [Reuses operator id: 76] +Output [1]: [d_date_sk#29] -(57) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#32] -Right keys [1]: [d_date_sk#33] +(55) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#28] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(58) Project [codegen id : 14] -Output [3]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31] -Input [5]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32, d_date_sk#33] +(56) Project [codegen id : 12] +Output [3]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27] +Input [5]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28, d_date_sk#29] -(59) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#34] +(57) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#30] -(60) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#30] -Right keys [1]: [ca_address_sk#34] +(58) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#26] +Right keys [1]: [ca_address_sk#30] Join type: Inner Join condition: None -(61) Project [codegen id : 14] -Output [2]: [ws_item_sk#29, ws_ext_sales_price#31] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ca_address_sk#34] +(59) Project [codegen id : 12] +Output [2]: [ws_item_sk#25, ws_ext_sales_price#27] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ca_address_sk#30] -(62) ReusedExchange [Reuses operator id: 46] -Output [2]: [i_item_sk#35, i_manufact_id#36] +(60) ReusedExchange [Reuses operator id: 45] +Output [2]: [i_item_sk#31, i_manufact_id#32] -(63) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#29] -Right keys [1]: [i_item_sk#35] +(61) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#25] +Right keys [1]: [i_item_sk#31] Join type: Inner Join condition: None -(64) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Input [4]: [ws_item_sk#29, ws_ext_sales_price#31, i_item_sk#35, i_manufact_id#36] - -(65) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Keys [1]: [i_manufact_id#36] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum#37] -Results [2]: [i_manufact_id#36, sum#38] - -(66) CometColumnarExchange -Input [2]: [i_manufact_id#36, sum#38] -Arguments: hashpartitioning(i_manufact_id#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(67) CometColumnarToRow [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] - -(68) HashAggregate [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] -Keys [1]: [i_manufact_id#36] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#31))#39] -Results [2]: [i_manufact_id#36, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#31))#39,17,2) AS total_sales#40] - -(69) Union - -(70) HashAggregate [codegen id : 16] -Input [2]: [i_manufact_id#10, total_sales#16] +(62) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Input [4]: [ws_item_sk#25, ws_ext_sales_price#27, i_item_sk#31, i_manufact_id#32] + +(63) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Keys [1]: [i_manufact_id#32] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#33] +Results [2]: [i_manufact_id#32, sum#34] + +(64) CometColumnarExchange +Input [2]: [i_manufact_id#32, sum#34] +Arguments: hashpartitioning(i_manufact_id#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(65) CometHashAggregate +Input [2]: [i_manufact_id#32, sum#34] +Keys [1]: [i_manufact_id#32] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#27))] + +(66) CometUnion +Child 0 Input [2]: [i_manufact_id#10, total_sales#35] +Child 1 Input [2]: [i_manufact_id#22, total_sales#36] +Child 2 Input [2]: [i_manufact_id#32, total_sales#37] + +(67) CometHashAggregate +Input [2]: [i_manufact_id#10, total_sales#35] Keys [1]: [i_manufact_id#10] -Functions [1]: [partial_sum(total_sales#16)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [3]: [i_manufact_id#10, sum#43, isEmpty#44] - -(71) CometColumnarExchange -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] -Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +Functions [1]: [partial_sum(total_sales#35)] -(72) CometColumnarToRow [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(68) CometExchange +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] +Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(73) HashAggregate [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(69) CometHashAggregate +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] Keys [1]: [i_manufact_id#10] -Functions [1]: [sum(total_sales#16)] -Aggregate Attributes [1]: [sum(total_sales#16)#45] -Results [2]: [i_manufact_id#10, sum(total_sales#16)#45 AS total_sales#46] +Functions [1]: [sum(total_sales#35)] + +(70) CometTakeOrderedAndProject +Input [2]: [i_manufact_id#10, total_sales#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#40 ASC NULLS FIRST], output=[i_manufact_id#10,total_sales#40]), [i_manufact_id#10, total_sales#40], 100, 0, [total_sales#40 ASC NULLS FIRST], [i_manufact_id#10, total_sales#40] -(74) TakeOrderedAndProject -Input [2]: [i_manufact_id#10, total_sales#46] -Arguments: 100, [total_sales#46 ASC NULLS FIRST], [i_manufact_id#10, total_sales#46] +(71) CometColumnarToRow [codegen id : 13] +Input [2]: [i_manufact_id#10, total_sales#40] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (79) -+- * CometColumnarToRow (78) - +- CometProject (77) - +- CometFilter (76) - +- CometNativeScan parquet spark_catalog.default.date_dim (75) +BroadcastExchange (76) ++- * CometColumnarToRow (75) + +- CometProject (74) + +- CometFilter (73) + +- CometNativeScan parquet spark_catalog.default.date_dim (72) -(75) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#47, d_moy#48] +(72) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,5), IsNotNull(d_date_sk)] ReadSchema: struct -(76) CometFilter -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] -Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#48)) AND (d_year#47 = 1998)) AND (d_moy#48 = 5)) AND isnotnull(d_date_sk#6)) +(73) CometFilter +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] +Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 5)) AND isnotnull(d_date_sk#6)) -(77) CometProject -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] +(74) CometProject +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] Arguments: [d_date_sk#6], [d_date_sk#6] -(78) CometColumnarToRow [codegen id : 1] +(75) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(79) BroadcastExchange +(76) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 28 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#32 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 51 Hosting Expression = ws_sold_date_sk#28 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/extended.txt index 79b2700a8c..8945c29e4c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/extended.txt @@ -1,112 +1,109 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 46 out of 93 eligible operators (49%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 53 out of 93 eligible operators (56%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/simplified.txt index 719ccdbb9f..38947948c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q33.native_datafusion/simplified.txt @@ -1,115 +1,104 @@ -TakeOrderedAndProject [total_sales,i_manufact_id] - WholeStageCodegen (17) - HashAggregate [i_manufact_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (16) - HashAggregate [i_manufact_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] - CometFilter [i_item_sk,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] - CometBroadcastExchange [i_manufact_id] #6 - CometProject [i_manufact_id] [i_manufact_id] - CometFilter [i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] - WholeStageCodegen (10) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #7 - WholeStageCodegen (9) - HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_manufact_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] - CometFilter [i_item_sk,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] - CometBroadcastExchange [i_manufact_id] #9 - CometProject [i_manufact_id] - CometFilter [i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] - WholeStageCodegen (15) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #10 - WholeStageCodegen (14) - HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_manufact_id] #8 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_manufact_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_manufact_id,total_sales,sum(total_sales)] + CometExchange [i_manufact_id] #1 + CometHashAggregate [total_sales] [i_manufact_id,sum,isEmpty] + CometUnion [i_manufact_id,total_sales] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] + CometFilter [i_item_sk,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] + CometBroadcastExchange [i_manufact_id] #6 + CometProject [i_manufact_id] [i_manufact_id] + CometFilter [i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #7 + WholeStageCodegen (8) + HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_manufact_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] + CometFilter [i_item_sk,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] + CometBroadcastExchange [i_manufact_id] #9 + CometProject [i_manufact_id] + CometFilter [i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #10 + WholeStageCodegen (12) + HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_manufact_id] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/explain.txt index 18c904ceed..8eed95a81f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/simplified.txt index 10af5ceadc..ae1c4b111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/explain.txt index c65bb26de3..7077e0bcb1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, min#39, max#40, sum#41, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50] Arguments: hashpartitioning(ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, min#39, max#40, sum#41, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, min#39, max#40, sum#41, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50] Keys [6]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22] Functions [10]: [count(1), min(cd_dep_count#20), max(cd_dep_count#20), avg(cd_dep_count#20), min(cd_dep_employed_count#21), max(cd_dep_employed_count#21), avg(cd_dep_employed_count#21), min(cd_dep_college_count#22), max(cd_dep_college_count#22), avg(cd_dep_college_count#22)] -Aggregate Attributes [10]: [count(1)#51, min(cd_dep_count#20)#52, max(cd_dep_count#20)#53, avg(cd_dep_count#20)#54, min(cd_dep_employed_count#21)#55, max(cd_dep_employed_count#21)#56, avg(cd_dep_employed_count#21)#57, min(cd_dep_college_count#22)#58, max(cd_dep_college_count#22)#59, avg(cd_dep_college_count#22)#60] -Results [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, count(1)#51 AS cnt1#61, min(cd_dep_count#20)#52 AS min(cd_dep_count)#62, max(cd_dep_count#20)#53 AS max(cd_dep_count)#63, avg(cd_dep_count#20)#54 AS avg(cd_dep_count)#64, cd_dep_employed_count#21, count(1)#51 AS cnt2#65, min(cd_dep_employed_count#21)#55 AS min(cd_dep_employed_count)#66, max(cd_dep_employed_count#21)#56 AS max(cd_dep_employed_count)#67, avg(cd_dep_employed_count#21)#57 AS avg(cd_dep_employed_count)#68, cd_dep_college_count#22, count(1)#51 AS cnt3#69, min(cd_dep_college_count#22)#58 AS min(cd_dep_college_count)#70, max(cd_dep_college_count#22)#59 AS max(cd_dep_college_count)#71, avg(cd_dep_college_count#22)#60 AS avg(cd_dep_college_count)#72, cd_dep_count#20] -(45) TakeOrderedAndProject -Input [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#61, min(cd_dep_count)#62, max(cd_dep_count)#63, avg(cd_dep_count)#64, cd_dep_employed_count#21, cnt2#65, min(cd_dep_employed_count)#66, max(cd_dep_employed_count)#67, avg(cd_dep_employed_count)#68, cd_dep_college_count#22, cnt3#69, min(cd_dep_college_count)#70, max(cd_dep_college_count)#71, avg(cd_dep_college_count)#72, cd_dep_count#20] -Arguments: 100, [ca_state#16 ASC NULLS FIRST, cd_gender#23 ASC NULLS FIRST, cd_marital_status#24 ASC NULLS FIRST, cd_dep_count#20 ASC NULLS FIRST, cd_dep_employed_count#21 ASC NULLS FIRST, cd_dep_college_count#22 ASC NULLS FIRST], [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#61, min(cd_dep_count)#62, max(cd_dep_count)#63, avg(cd_dep_count)#64, cd_dep_employed_count#21, cnt2#65, min(cd_dep_employed_count)#66, max(cd_dep_employed_count)#67, avg(cd_dep_employed_count)#68, cd_dep_college_count#22, cnt3#69, min(cd_dep_college_count)#70, max(cd_dep_college_count)#71, avg(cd_dep_college_count)#72] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#51, min(cd_dep_count)#52, max(cd_dep_count)#53, avg(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, min(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, avg(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, min(cd_dep_college_count)#60, max(cd_dep_college_count)#61, avg(cd_dep_college_count)#62, cd_dep_count#20] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#16 ASC NULLS FIRST,cd_gender#23 ASC NULLS FIRST,cd_marital_status#24 ASC NULLS FIRST,cd_dep_count#20 ASC NULLS FIRST,cd_dep_employed_count#21 ASC NULLS FIRST,cd_dep_college_count#22 ASC NULLS FIRST], output=[ca_state#16,cd_gender#23,cd_marital_status#24,cnt1#51,min(cd_dep_count)#52,max(cd_dep_count)#53,avg(cd_dep_count)#54,cd_dep_employed_count#21,cnt2#55,min(cd_dep_employed_count)#56,max(cd_dep_employed_count)#57,avg(cd_dep_employed_count)#58,cd_dep_college_count#22,cnt3#59,min(cd_dep_college_count)#60,max(cd_dep_college_count)#61,avg(cd_dep_college_count)#62]), [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#51, min(cd_dep_count)#52, max(cd_dep_count)#53, avg(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, min(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, avg(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, min(cd_dep_college_count)#60, max(cd_dep_college_count)#61, avg(cd_dep_college_count)#62], 100, 0, [ca_state#16 ASC NULLS FIRST, cd_gender#23 ASC NULLS FIRST, cd_marital_status#24 ASC NULLS FIRST, cd_dep_count#20 ASC NULLS FIRST, cd_dep_employed_count#21 ASC NULLS FIRST, cd_dep_college_count#22 ASC NULLS FIRST], [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#51, min(cd_dep_count)#52, max(cd_dep_count)#53, avg(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, min(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, avg(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, min(cd_dep_college_count)#60, max(cd_dep_college_count)#61, avg(cd_dep_college_count)#62] + +(45) CometColumnarToRow [codegen id : 10] +Input [17]: [ca_state#16, cd_gender#23, cd_marital_status#24, cnt1#51, min(cd_dep_count)#52, max(cd_dep_count)#53, avg(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, min(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, avg(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, min(cd_dep_college_count)#60, max(cd_dep_college_count)#61, avg(cd_dep_college_count)#62] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#73, d_qoy#74] +Output [3]: [d_date_sk#9, d_year#63, d_qoy#64] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#73, d_qoy#74] -Condition : ((((isnotnull(d_year#73) AND isnotnull(d_qoy#74)) AND (d_year#73 = 2002)) AND (d_qoy#74 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#63, d_qoy#64] +Condition : ((((isnotnull(d_year#63) AND isnotnull(d_qoy#64)) AND (d_year#63 = 2002)) AND (d_qoy#64 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#73, d_qoy#74] +Input [3]: [d_date_sk#9, d_year#63, d_qoy#64] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/simplified.txt index 48bc5637d0..121f4d88b0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/explain.txt index f01bb79a29..1868c79884 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] Arguments: hashpartitioning(ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] Keys [6]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [10]: [count(1), min(cd_dep_count#24), max(cd_dep_count#24), avg(cd_dep_count#24), min(cd_dep_employed_count#25), max(cd_dep_employed_count#25), avg(cd_dep_employed_count#25), min(cd_dep_college_count#26), max(cd_dep_college_count#26), avg(cd_dep_college_count#26)] -Aggregate Attributes [10]: [count(1)#55, min(cd_dep_count#24)#56, max(cd_dep_count#24)#57, avg(cd_dep_count#24)#58, min(cd_dep_employed_count#25)#59, max(cd_dep_employed_count#25)#60, avg(cd_dep_employed_count#25)#61, min(cd_dep_college_count#26)#62, max(cd_dep_college_count#26)#63, avg(cd_dep_college_count#26)#64] -Results [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, count(1)#55 AS cnt1#65, min(cd_dep_count#24)#56 AS min(cd_dep_count)#66, max(cd_dep_count#24)#57 AS max(cd_dep_count)#67, avg(cd_dep_count#24)#58 AS avg(cd_dep_count)#68, cd_dep_employed_count#25, count(1)#55 AS cnt2#69, min(cd_dep_employed_count#25)#59 AS min(cd_dep_employed_count)#70, max(cd_dep_employed_count#25)#60 AS max(cd_dep_employed_count)#71, avg(cd_dep_employed_count#25)#61 AS avg(cd_dep_employed_count)#72, cd_dep_college_count#26, count(1)#55 AS cnt3#73, min(cd_dep_college_count#26)#62 AS min(cd_dep_college_count)#74, max(cd_dep_college_count#26)#63 AS max(cd_dep_college_count)#75, avg(cd_dep_college_count#26)#64 AS avg(cd_dep_college_count)#76, cd_dep_count#24] -(47) TakeOrderedAndProject -Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#65, min(cd_dep_count)#66, max(cd_dep_count)#67, avg(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, min(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, avg(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, min(cd_dep_college_count)#74, max(cd_dep_college_count)#75, avg(cd_dep_college_count)#76, cd_dep_count#24] -Arguments: 100, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#65, min(cd_dep_count)#66, max(cd_dep_count)#67, avg(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, min(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, avg(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, min(cd_dep_college_count)#74, max(cd_dep_college_count)#75, avg(cd_dep_college_count)#76] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66, cd_dep_count#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#20 ASC NULLS FIRST,cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[ca_state#20,cd_gender#27,cd_marital_status#28,cnt1#55,min(cd_dep_count)#56,max(cd_dep_count)#57,avg(cd_dep_count)#58,cd_dep_employed_count#25,cnt2#59,min(cd_dep_employed_count)#60,max(cd_dep_employed_count)#61,avg(cd_dep_employed_count)#62,cd_dep_college_count#26,cnt3#63,min(cd_dep_college_count)#64,max(cd_dep_college_count)#65,avg(cd_dep_college_count)#66]), [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66], 100, 0, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/explain.txt index f01bb79a29..1868c79884 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] Arguments: hashpartitioning(ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, min#43, max#44, sum#45, count#46, min#47, max#48, sum#49, count#50, min#51, max#52, sum#53, count#54] Keys [6]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [10]: [count(1), min(cd_dep_count#24), max(cd_dep_count#24), avg(cd_dep_count#24), min(cd_dep_employed_count#25), max(cd_dep_employed_count#25), avg(cd_dep_employed_count#25), min(cd_dep_college_count#26), max(cd_dep_college_count#26), avg(cd_dep_college_count#26)] -Aggregate Attributes [10]: [count(1)#55, min(cd_dep_count#24)#56, max(cd_dep_count#24)#57, avg(cd_dep_count#24)#58, min(cd_dep_employed_count#25)#59, max(cd_dep_employed_count#25)#60, avg(cd_dep_employed_count#25)#61, min(cd_dep_college_count#26)#62, max(cd_dep_college_count#26)#63, avg(cd_dep_college_count#26)#64] -Results [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, count(1)#55 AS cnt1#65, min(cd_dep_count#24)#56 AS min(cd_dep_count)#66, max(cd_dep_count#24)#57 AS max(cd_dep_count)#67, avg(cd_dep_count#24)#58 AS avg(cd_dep_count)#68, cd_dep_employed_count#25, count(1)#55 AS cnt2#69, min(cd_dep_employed_count#25)#59 AS min(cd_dep_employed_count)#70, max(cd_dep_employed_count#25)#60 AS max(cd_dep_employed_count)#71, avg(cd_dep_employed_count#25)#61 AS avg(cd_dep_employed_count)#72, cd_dep_college_count#26, count(1)#55 AS cnt3#73, min(cd_dep_college_count#26)#62 AS min(cd_dep_college_count)#74, max(cd_dep_college_count#26)#63 AS max(cd_dep_college_count)#75, avg(cd_dep_college_count#26)#64 AS avg(cd_dep_college_count)#76, cd_dep_count#24] -(47) TakeOrderedAndProject -Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#65, min(cd_dep_count)#66, max(cd_dep_count)#67, avg(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, min(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, avg(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, min(cd_dep_college_count)#74, max(cd_dep_college_count)#75, avg(cd_dep_college_count)#76, cd_dep_count#24] -Arguments: 100, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#65, min(cd_dep_count)#66, max(cd_dep_count)#67, avg(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, min(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, avg(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, min(cd_dep_college_count)#74, max(cd_dep_college_count)#75, avg(cd_dep_college_count)#76] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66, cd_dep_count#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#20 ASC NULLS FIRST,cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[ca_state#20,cd_gender#27,cd_marital_status#28,cnt1#55,min(cd_dep_count)#56,max(cd_dep_count)#57,avg(cd_dep_count)#58,cd_dep_employed_count#25,cnt2#59,min(cd_dep_employed_count)#60,max(cd_dep_employed_count)#61,avg(cd_dep_employed_count)#62,cd_dep_college_count#26,cnt3#63,min(cd_dep_college_count)#64,max(cd_dep_college_count)#65,avg(cd_dep_college_count)#66]), [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66], 100, 0, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#20, cd_gender#27, cd_marital_status#28, cnt1#55, min(cd_dep_count)#56, max(cd_dep_count)#57, avg(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, min(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, avg(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, min(cd_dep_college_count)#64, max(cd_dep_college_count)#65, avg(cd_dep_college_count)#66] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/explain.txt index 58c6701f56..1c49fca3ef 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/explain.txt @@ -1,35 +1,34 @@ == Physical Plan == -TakeOrderedAndProject (31) -+- * Project (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometColumnarExchange (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) - +- CometColumnarExchange (23) - +- * HashAggregate (22) - +- * Expand (21) - +- * Project (20) - +- * BroadcastHashJoin Inner BuildRight (19) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - +- BroadcastExchange (18) - +- * CometColumnarToRow (17) - +- CometProject (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (30) ++- * Project (29) + +- Window (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometColumnarExchange (23) + +- * HashAggregate (22) + +- * Expand (21) + +- * Project (20) + +- * BroadcastHashJoin Inner BuildRight (19) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + +- BroadcastExchange (18) + +- * CometColumnarToRow (17) + +- CometProject (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) Scan parquet spark_catalog.default.store_sales @@ -47,7 +46,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 36] +(4) ReusedExchange [Reuses operator id: 35] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,68 +138,63 @@ Results [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Arguments: hashpartitioning(i_category#15, i_class#16, spark_grouping_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Keys [3]: [i_category#15, i_class#16, spark_grouping_id#17] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#22, sum(UnscaledValue(ss_ext_sales_price#3))#23] -Results [7]: [(MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS gross_margin#24, i_category#15, i_class#16, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS lochierarchy#25, (MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS _w0#26, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS _w1#27, CASE WHEN (cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint) = 0) THEN i_category#15 END AS _w2#28] -(26) CometColumnarExchange -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(25) CometExchange +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: hashpartitioning(_w1#25, _w2#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(27) CometSort -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 ASC NULLS FIRST] +(26) CometSort +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26], [_w1#25 ASC NULLS FIRST, _w2#26 ASC NULLS FIRST, _w0#24 ASC NULLS FIRST] -(28) CometColumnarToRow [codegen id : 6] -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] +(27) CometColumnarToRow [codegen id : 5] +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] -(29) Window -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 ASC NULLS FIRST] +(28) Window +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [rank(_w0#24) windowspecdefinition(_w1#25, _w2#26, _w0#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#27], [_w1#25, _w2#26], [_w0#24 ASC NULLS FIRST] -(30) Project [codegen id : 7] -Output [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Input [8]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29] +(29) Project [codegen id : 6] +Output [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Input [8]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26, rank_within_parent#27] -(31) TakeOrderedAndProject -Input [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] +(30) TakeOrderedAndProject +Input [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Arguments: 100, [lochierarchy#23 DESC NULLS LAST, CASE WHEN (lochierarchy#23 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#27 ASC NULLS FIRST], [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (36) -+- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.date_dim (32) +BroadcastExchange (35) ++- * CometColumnarToRow (34) + +- CometProject (33) + +- CometFilter (32) + +- CometNativeScan parquet spark_catalog.default.date_dim (31) -(32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#30] +(31) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(33) CometFilter -Input [2]: [d_date_sk#7, d_year#30] -Condition : ((isnotnull(d_year#30) AND (d_year#30 = 2001)) AND isnotnull(d_date_sk#7)) +(32) CometFilter +Input [2]: [d_date_sk#7, d_year#28] +Condition : ((isnotnull(d_year#28) AND (d_year#28 = 2001)) AND isnotnull(d_date_sk#7)) -(34) CometProject -Input [2]: [d_date_sk#7, d_year#30] +(33) CometProject +Input [2]: [d_date_sk#7, d_year#28] Arguments: [d_date_sk#7], [d_date_sk#7] -(35) CometColumnarToRow [codegen id : 1] +(34) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(36) BroadcastExchange +(35) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/extended.txt index bd826eb3a3..675a701ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/extended.txt @@ -3,41 +3,40 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 15 out of 34 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 34 eligible operators (47%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/simplified.txt index d6f8548c89..7abc26c44d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q36.native_datafusion/simplified.txt @@ -1,54 +1,51 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,spark_grouping_id,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,lochierarchy,_w0,_w1,_w2,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] - Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] + Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/explain.txt index b8ed3a361b..d41b97c1ad 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#28)#22 AS mean#24] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#24 AS mean#46, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#47] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#22 AS mean#44, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#45] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#48, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#46, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#10)) AND (d_year#48 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] +Condition : ((((isnotnull(d_year#46) AND isnotnull(d_moy#10)) AND (d_year#46 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#49, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#47, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#35)) AND (d_year#49 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#33)) AND (d_year#47 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/simplified.txt index 11dd59a97f..b07276a47e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39a.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [mean,stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/explain.txt index 69fbdb52f0..77fdb3c8bd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.5) END) +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.5) END) -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#28)#22 AS mean#24] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#24 AS mean#46, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#47] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#22 AS mean#44, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#45] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#48, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#46, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#10)) AND (d_year#48 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] +Condition : ((((isnotnull(d_year#46) AND isnotnull(d_moy#10)) AND (d_year#46 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#49, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#47, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#35)) AND (d_year#49 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#33)) AND (d_year#47 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/simplified.txt index 11dd59a97f..b07276a47e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q39b.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [mean,stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/explain.txt index 9fffd1dde5..c672960a68 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/explain.txt @@ -1,124 +1,119 @@ == Physical Plan == -TakeOrderedAndProject (120) -+- * Project (119) - +- * BroadcastHashJoin Inner BuildRight (118) - :- * Project (99) - : +- * BroadcastHashJoin Inner BuildRight (98) - : :- * Project (78) - : : +- * BroadcastHashJoin Inner BuildRight (77) - : : :- * Project (58) - : : : +- * BroadcastHashJoin Inner BuildRight (57) - : : : :- * BroadcastHashJoin Inner BuildRight (37) - : : : : :- * Filter (18) - : : : : : +- * HashAggregate (17) - : : : : : +- * CometColumnarToRow (16) - : : : : : +- CometColumnarExchange (15) - : : : : : +- * HashAggregate (14) - : : : : : +- * Project (13) - : : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * CometColumnarToRow (4) - : : : : : : : +- CometProject (3) - : : : : : : : +- CometFilter (2) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * Filter (7) - : : : : : : +- * ColumnarToRow (6) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : : : +- ReusedExchange (11) - : : : : +- BroadcastExchange (36) - : : : : +- * HashAggregate (35) - : : : : +- * CometColumnarToRow (34) - : : : : +- CometColumnarExchange (33) - : : : : +- * HashAggregate (32) - : : : : +- * Project (31) - : : : : +- * BroadcastHashJoin Inner BuildRight (30) - : : : : :- * Project (28) - : : : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : : : :- * CometColumnarToRow (22) - : : : : : : +- CometProject (21) - : : : : : : +- CometFilter (20) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : : : +- BroadcastExchange (26) - : : : : : +- * Filter (25) - : : : : : +- * ColumnarToRow (24) - : : : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : : : +- ReusedExchange (29) - : : : +- BroadcastExchange (56) - : : : +- * Filter (55) - : : : +- * HashAggregate (54) - : : : +- * CometColumnarToRow (53) - : : : +- CometColumnarExchange (52) - : : : +- * HashAggregate (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * Project (47) - : : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : : :- * CometColumnarToRow (41) - : : : : : +- CometProject (40) - : : : : : +- CometFilter (39) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : : : +- BroadcastExchange (45) - : : : : +- * Filter (44) - : : : : +- * ColumnarToRow (43) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (42) - : : : +- ReusedExchange (48) - : : +- BroadcastExchange (76) - : : +- * HashAggregate (75) - : : +- * CometColumnarToRow (74) - : : +- CometColumnarExchange (73) - : : +- * HashAggregate (72) - : : +- * Project (71) - : : +- * BroadcastHashJoin Inner BuildRight (70) - : : :- * Project (68) - : : : +- * BroadcastHashJoin Inner BuildRight (67) - : : : :- * CometColumnarToRow (62) - : : : : +- CometProject (61) - : : : : +- CometFilter (60) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : : : +- BroadcastExchange (66) - : : : +- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.catalog_sales (63) - : : +- ReusedExchange (69) - : +- BroadcastExchange (97) - : +- * Filter (96) - : +- * HashAggregate (95) - : +- * CometColumnarToRow (94) - : +- CometColumnarExchange (93) - : +- * HashAggregate (92) - : +- * Project (91) - : +- * BroadcastHashJoin Inner BuildRight (90) - : :- * Project (88) - : : +- * BroadcastHashJoin Inner BuildRight (87) - : : :- * CometColumnarToRow (82) - : : : +- CometProject (81) - : : : +- CometFilter (80) - : : : +- CometNativeScan parquet spark_catalog.default.customer (79) - : : +- BroadcastExchange (86) - : : +- * Filter (85) - : : +- * ColumnarToRow (84) - : : +- Scan parquet spark_catalog.default.web_sales (83) - : +- ReusedExchange (89) - +- BroadcastExchange (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * CometColumnarToRow (103) - : : +- CometProject (102) - : : +- CometFilter (101) - : : +- CometNativeScan parquet spark_catalog.default.customer (100) - : +- BroadcastExchange (107) - : +- * Filter (106) - : +- * ColumnarToRow (105) - : +- Scan parquet spark_catalog.default.web_sales (104) - +- ReusedExchange (110) +* CometColumnarToRow (115) ++- CometTakeOrderedAndProject (114) + +- CometProject (113) + +- CometBroadcastHashJoin (112) + :- CometProject (94) + : +- CometBroadcastHashJoin (93) + : :- CometProject (74) + : : +- CometBroadcastHashJoin (73) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometBroadcastHashJoin (35) + : : : : :- CometFilter (17) + : : : : : +- CometHashAggregate (16) + : : : : : +- CometColumnarExchange (15) + : : : : : +- * HashAggregate (14) + : : : : : +- * Project (13) + : : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * CometColumnarToRow (4) + : : : : : : : +- CometProject (3) + : : : : : : : +- CometFilter (2) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * Filter (7) + : : : : : : +- * ColumnarToRow (6) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : : : +- ReusedExchange (11) + : : : : +- CometBroadcastExchange (34) + : : : : +- CometHashAggregate (33) + : : : : +- CometColumnarExchange (32) + : : : : +- * HashAggregate (31) + : : : : +- * Project (30) + : : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : : :- * Project (27) + : : : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : : : :- * CometColumnarToRow (21) + : : : : : : +- CometProject (20) + : : : : : : +- CometFilter (19) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Filter (24) + : : : : : +- * ColumnarToRow (23) + : : : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : : : +- ReusedExchange (28) + : : : +- CometBroadcastExchange (53) + : : : +- CometFilter (52) + : : : +- CometHashAggregate (51) + : : : +- CometColumnarExchange (50) + : : : +- * HashAggregate (49) + : : : +- * Project (48) + : : : +- * BroadcastHashJoin Inner BuildRight (47) + : : : :- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * CometColumnarToRow (39) + : : : : : +- CometProject (38) + : : : : : +- CometFilter (37) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : : : +- BroadcastExchange (43) + : : : : +- * Filter (42) + : : : : +- * ColumnarToRow (41) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (40) + : : : +- ReusedExchange (46) + : : +- CometBroadcastExchange (72) + : : +- CometHashAggregate (71) + : : +- CometColumnarExchange (70) + : : +- * HashAggregate (69) + : : +- * Project (68) + : : +- * BroadcastHashJoin Inner BuildRight (67) + : : :- * Project (65) + : : : +- * BroadcastHashJoin Inner BuildRight (64) + : : : :- * CometColumnarToRow (59) + : : : : +- CometProject (58) + : : : : +- CometFilter (57) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : : : +- BroadcastExchange (63) + : : : +- * Filter (62) + : : : +- * ColumnarToRow (61) + : : : +- Scan parquet spark_catalog.default.catalog_sales (60) + : : +- ReusedExchange (66) + : +- CometBroadcastExchange (92) + : +- CometFilter (91) + : +- CometHashAggregate (90) + : +- CometColumnarExchange (89) + : +- * HashAggregate (88) + : +- * Project (87) + : +- * BroadcastHashJoin Inner BuildRight (86) + : :- * Project (84) + : : +- * BroadcastHashJoin Inner BuildRight (83) + : : :- * CometColumnarToRow (78) + : : : +- CometProject (77) + : : : +- CometFilter (76) + : : : +- CometNativeScan parquet spark_catalog.default.customer (75) + : : +- BroadcastExchange (82) + : : +- * Filter (81) + : : +- * ColumnarToRow (80) + : : +- Scan parquet spark_catalog.default.web_sales (79) + : +- ReusedExchange (85) + +- CometBroadcastExchange (111) + +- CometHashAggregate (110) + +- CometColumnarExchange (109) + +- * HashAggregate (108) + +- * Project (107) + +- * BroadcastHashJoin Inner BuildRight (106) + :- * Project (104) + : +- * BroadcastHashJoin Inner BuildRight (103) + : :- * CometColumnarToRow (98) + : : +- CometProject (97) + : : +- CometFilter (96) + : : +- CometNativeScan parquet spark_catalog.default.customer (95) + : +- BroadcastExchange (102) + : +- * Filter (101) + : +- * ColumnarToRow (100) + : +- Scan parquet spark_catalog.default.web_sales (99) + +- ReusedExchange (105) (1) CometNativeScan parquet spark_catalog.default.customer @@ -168,7 +163,7 @@ Join condition: None Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] Input [14]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] -(11) ReusedExchange [Reuses operator id: 124] +(11) ReusedExchange [Reuses operator id: 119] Output [2]: [d_date_sk#22, d_year#23] (12) BroadcastHashJoin [codegen id : 3] @@ -192,561 +187,529 @@ Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cus Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 24] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] - -(17) HashAggregate [codegen id : 24] +(16) CometHashAggregate Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23] Functions [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28] -Results [2]: [c_customer_id#9 AS customer_id#29, sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28 AS year_total#30] -(18) Filter [codegen id : 24] -Input [2]: [customer_id#29, year_total#30] -Condition : (isnotnull(year_total#30) AND (year_total#30 > 0.000000)) +(17) CometFilter +Input [2]: [customer_id#28, year_total#29] +Condition : (isnotnull(year_total#29) AND (year_total#29 > 0.000000)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Condition : (isnotnull(c_customer_sk#31) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#32, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Condition : (isnotnull(c_customer_sk#30) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#31, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Arguments: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14], [c_customer_sk#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#32, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#33, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#34, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#35, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#37, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#38, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Arguments: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14], [c_customer_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#31, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#32, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#33, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#34, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#36, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#37, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(22) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#44), dynamicpruningexpression(ss_sold_date_sk#44 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ss_sold_date_sk#43), dynamicpruningexpression(ss_sold_date_sk#43 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(23) ColumnarToRow [codegen id : 4] +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(25) Filter [codegen id : 4] -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Condition : isnotnull(ss_customer_sk#39) +(24) Filter [codegen id : 4] +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Condition : isnotnull(ss_customer_sk#38) -(26) BroadcastExchange -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(25) BroadcastExchange +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#31] -Right keys [1]: [ss_customer_sk#39] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#30] +Right keys [1]: [ss_customer_sk#38] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Input [14]: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(27) Project [codegen id : 6] +Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Input [14]: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(29) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#46, d_year#47] +(28) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#45, d_year#46] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#44] -Right keys [1]: [d_date_sk#46] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#43] +Right keys [1]: [d_date_sk#45] Join type: Inner Join condition: None -(31) Project [codegen id : 6] -Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, d_year#47] -Input [14]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44, d_date_sk#46, d_year#47] - -(32) HashAggregate [codegen id : 6] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, d_year#47] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47] -Functions [1]: [partial_sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))] -Aggregate Attributes [2]: [sum#48, isEmpty#49] -Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] - -(33) CometColumnarExchange -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] - -(35) HashAggregate [codegen id : 7] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47] -Functions [1]: [sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))#28] -Results [8]: [c_customer_id#9 AS customer_id#52, c_first_name#10 AS customer_first_name#53, c_last_name#11 AS customer_last_name#54, c_preferred_cust_flag#12 AS customer_preferred_cust_flag#55, c_birth_country#36 AS customer_birth_country#56, c_login#13 AS customer_login#57, c_email_address#14 AS customer_email_address#58, sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))#28 AS year_total#59] - -(36) BroadcastExchange -Input [8]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#52] -Join type: Inner -Join condition: None - -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] +(30) Project [codegen id : 6] +Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, d_year#46] +Input [14]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43, d_date_sk#45, d_year#46] + +(31) HashAggregate [codegen id : 6] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, d_year#46] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46] +Functions [1]: [partial_sum(((((ss_ext_list_price#42 - ss_ext_wholesale_cost#41) - ss_ext_discount_amt#39) + ss_ext_sales_price#40) / 2))] +Aggregate Attributes [2]: [sum#47, isEmpty#48] +Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] + +(32) CometColumnarExchange +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46] +Functions [1]: [sum(((((ss_ext_list_price#42 - ss_ext_wholesale_cost#41) - ss_ext_discount_amt#39) + ss_ext_sales_price#40) / 2))] + +(34) CometBroadcastExchange +Input [8]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Arguments: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#28, year_total#29] +Right output [8]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Arguments: [customer_id#28], [customer_id#51], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] -Condition : (isnotnull(c_customer_sk#60) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#61, 16, true, false, true))) +(37) CometFilter +Input [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] +Condition : (isnotnull(c_customer_sk#59) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#60, 16, true, false, true))) -(40) CometProject -Input [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] -Arguments: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73], [c_customer_sk#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#61, 16, true, false, true) AS c_customer_id#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#62, 20, true, false, true) AS c_first_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#63, 30, true, false, true) AS c_last_name#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#64, 1, true, false, true) AS c_preferred_cust_flag#71, c_birth_country#65, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#66, 13, true, false, true) AS c_login#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#67, 50, true, false, true) AS c_email_address#73] +(38) CometProject +Input [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] +Arguments: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72], [c_customer_sk#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#60, 16, true, false, true) AS c_customer_id#67, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#61, 20, true, false, true) AS c_first_name#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#62, 30, true, false, true) AS c_last_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#63, 1, true, false, true) AS c_preferred_cust_flag#70, c_birth_country#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#65, 13, true, false, true) AS c_login#71, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#66, 50, true, false, true) AS c_email_address#72] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72] -(42) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(40) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#79), dynamicpruningexpression(cs_sold_date_sk#79 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(cs_sold_date_sk#78), dynamicpruningexpression(cs_sold_date_sk#78 IN dynamicpruning#21)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(41) ColumnarToRow [codegen id : 7] +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] -(44) Filter [codegen id : 8] -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Condition : isnotnull(cs_bill_customer_sk#74) +(42) Filter [codegen id : 7] +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Condition : isnotnull(cs_bill_customer_sk#73) -(45) BroadcastExchange -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#60] -Right keys [1]: [cs_bill_customer_sk#74] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#59] +Right keys [1]: [cs_bill_customer_sk#73] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Input [14]: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(45) Project [codegen id : 9] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Input [14]: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] -(48) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#80, d_year#81] +(46) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#79, d_year#80] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#79] -Right keys [1]: [d_date_sk#80] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#78] +Right keys [1]: [d_date_sk#79] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, d_year#81] -Input [14]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79, d_date_sk#80, d_year#81] - -(51) HashAggregate [codegen id : 10] -Input [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, d_year#81] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81] -Functions [1]: [partial_sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))] -Aggregate Attributes [2]: [sum#82, isEmpty#83] -Results [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] - -(52) CometColumnarExchange -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] -Arguments: hashpartitioning(c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] - -(54) HashAggregate [codegen id : 11] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81] -Functions [1]: [sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))#86] -Results [2]: [c_customer_id#68 AS customer_id#87, sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))#86 AS year_total#88] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#87, year_total#88] -Condition : (isnotnull(year_total#88) AND (year_total#88 > 0.000000)) - -(56) BroadcastExchange -Input [2]: [customer_id#87, year_total#88] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#87] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 24] -Output [11]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, year_total#88] -Input [12]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, customer_id#87, year_total#88] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] +(48) Project [codegen id : 9] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, d_year#80] +Input [14]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78, d_date_sk#79, d_year#80] + +(49) HashAggregate [codegen id : 9] +Input [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, d_year#80] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80] +Functions [1]: [partial_sum(((((cs_ext_list_price#77 - cs_ext_wholesale_cost#76) - cs_ext_discount_amt#74) + cs_ext_sales_price#75) / 2))] +Aggregate Attributes [2]: [sum#81, isEmpty#82] +Results [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] + +(50) CometColumnarExchange +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] +Arguments: hashpartitioning(c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80] +Functions [1]: [sum(((((cs_ext_list_price#77 - cs_ext_wholesale_cost#76) - cs_ext_discount_amt#74) + cs_ext_sales_price#75) / 2))] + +(52) CometFilter +Input [2]: [customer_id#85, year_total#86] +Condition : (isnotnull(year_total#86) AND (year_total#86 > 0.000000)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#85, year_total#86] +Arguments: [customer_id#85, year_total#86] + +(54) CometBroadcastHashJoin +Left output [10]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Right output [2]: [customer_id#85, year_total#86] +Arguments: [customer_id#28], [customer_id#85], Inner, BuildRight + +(55) CometProject +Input [12]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, customer_id#85, year_total#86] +Arguments: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86], [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] -Condition : (isnotnull(c_customer_sk#89) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#90, 16, true, false, true))) +(57) CometFilter +Input [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] +Condition : (isnotnull(c_customer_sk#87) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#88, 16, true, false, true))) -(61) CometProject -Input [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] -Arguments: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73], [c_customer_sk#89, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#90, 16, true, false, true) AS c_customer_id#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#91, 20, true, false, true) AS c_first_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#92, 30, true, false, true) AS c_last_name#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#93, 1, true, false, true) AS c_preferred_cust_flag#71, c_birth_country#94, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#95, 13, true, false, true) AS c_login#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#96, 50, true, false, true) AS c_email_address#73] +(58) CometProject +Input [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] +Arguments: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72], [c_customer_sk#87, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#88, 16, true, false, true) AS c_customer_id#67, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#89, 20, true, false, true) AS c_first_name#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#90, 30, true, false, true) AS c_last_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#91, 1, true, false, true) AS c_preferred_cust_flag#70, c_birth_country#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#93, 13, true, false, true) AS c_login#71, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#94, 50, true, false, true) AS c_email_address#72] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72] -(63) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(60) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#102), dynamicpruningexpression(cs_sold_date_sk#102 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(cs_sold_date_sk#100), dynamicpruningexpression(cs_sold_date_sk#100 IN dynamicpruning#44)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(61) ColumnarToRow [codegen id : 10] +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] -(65) Filter [codegen id : 12] -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Condition : isnotnull(cs_bill_customer_sk#97) +(62) Filter [codegen id : 10] +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Condition : isnotnull(cs_bill_customer_sk#95) -(66) BroadcastExchange -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#89] -Right keys [1]: [cs_bill_customer_sk#97] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#87] +Right keys [1]: [cs_bill_customer_sk#95] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Input [14]: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(65) Project [codegen id : 12] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Input [14]: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] -(69) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#103, d_year#104] +(66) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#101, d_year#102] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [cs_sold_date_sk#102] -Right keys [1]: [d_date_sk#103] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cs_sold_date_sk#100] +Right keys [1]: [d_date_sk#101] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, d_year#104] -Input [14]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102, d_date_sk#103, d_year#104] - -(72) HashAggregate [codegen id : 14] -Input [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, d_year#104] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104] -Functions [1]: [partial_sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))] -Aggregate Attributes [2]: [sum#105, isEmpty#106] -Results [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] - -(73) CometColumnarExchange -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] -Arguments: hashpartitioning(c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] - -(75) HashAggregate [codegen id : 15] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104] -Functions [1]: [sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))#86] -Results [2]: [c_customer_id#68 AS customer_id#109, sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))#86 AS year_total#110] - -(76) BroadcastExchange -Input [2]: [customer_id#109, year_total#110] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#109] -Join type: Inner -Join condition: (CASE WHEN (year_total#88 > 0.000000) THEN (year_total#110 / year_total#88) END > CASE WHEN (year_total#30 > 0.000000) THEN (year_total#59 / year_total#30) END) - -(78) Project [codegen id : 24] -Output [10]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110] -Input [13]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, year_total#88, customer_id#109, year_total#110] - -(79) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] +(68) Project [codegen id : 12] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, d_year#102] +Input [14]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100, d_date_sk#101, d_year#102] + +(69) HashAggregate [codegen id : 12] +Input [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, d_year#102] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102] +Functions [1]: [partial_sum(((((cs_ext_list_price#99 - cs_ext_wholesale_cost#98) - cs_ext_discount_amt#96) + cs_ext_sales_price#97) / 2))] +Aggregate Attributes [2]: [sum#103, isEmpty#104] +Results [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] + +(70) CometColumnarExchange +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] +Arguments: hashpartitioning(c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102] +Functions [1]: [sum(((((cs_ext_list_price#99 - cs_ext_wholesale_cost#98) - cs_ext_discount_amt#96) + cs_ext_sales_price#97) / 2))] + +(72) CometBroadcastExchange +Input [2]: [customer_id#107, year_total#108] +Arguments: [customer_id#107, year_total#108] + +(73) CometBroadcastHashJoin +Left output [11]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86] +Right output [2]: [customer_id#107, year_total#108] +Arguments: [customer_id#28], [customer_id#107], Inner, (CASE WHEN (year_total#86 > 0.000000) THEN (year_total#108 / year_total#86) END > CASE WHEN (year_total#29 > 0.000000) THEN (year_total#58 / year_total#29) END), BuildRight + +(74) CometProject +Input [13]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86, customer_id#107, year_total#108] +Arguments: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108], [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108] + +(75) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(80) CometFilter -Input [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] -Condition : (isnotnull(c_customer_sk#111) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#112, 16, true, false, true))) +(76) CometFilter +Input [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] +Condition : (isnotnull(c_customer_sk#109) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#110, 16, true, false, true))) -(81) CometProject -Input [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] -Arguments: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124], [c_customer_sk#111, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#112, 16, true, false, true) AS c_customer_id#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#113, 20, true, false, true) AS c_first_name#120, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#114, 30, true, false, true) AS c_last_name#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#115, 1, true, false, true) AS c_preferred_cust_flag#122, c_birth_country#116, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#117, 13, true, false, true) AS c_login#123, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#118, 50, true, false, true) AS c_email_address#124] +(77) CometProject +Input [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] +Arguments: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122], [c_customer_sk#109, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#110, 16, true, false, true) AS c_customer_id#117, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#111, 20, true, false, true) AS c_first_name#118, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#112, 30, true, false, true) AS c_last_name#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#113, 1, true, false, true) AS c_preferred_cust_flag#120, c_birth_country#114, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#115, 13, true, false, true) AS c_login#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#116, 50, true, false, true) AS c_email_address#122] -(82) CometColumnarToRow [codegen id : 18] -Input [8]: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124] +(78) CometColumnarToRow [codegen id : 15] +Input [8]: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122] -(83) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] +(79) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#130), dynamicpruningexpression(ws_sold_date_sk#130 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(ws_sold_date_sk#128), dynamicpruningexpression(ws_sold_date_sk#128 IN dynamicpruning#21)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(84) ColumnarToRow [codegen id : 16] -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] +(80) ColumnarToRow [codegen id : 13] +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] -(85) Filter [codegen id : 16] -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Condition : isnotnull(ws_bill_customer_sk#125) +(81) Filter [codegen id : 13] +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Condition : isnotnull(ws_bill_customer_sk#123) -(86) BroadcastExchange -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +(82) BroadcastExchange +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -(87) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [c_customer_sk#111] -Right keys [1]: [ws_bill_customer_sk#125] +(83) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [c_customer_sk#109] +Right keys [1]: [ws_bill_customer_sk#123] Join type: Inner Join condition: None -(88) Project [codegen id : 18] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Input [14]: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] - -(89) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#131, d_year#132] +(84) Project [codegen id : 15] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Input [14]: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] -(90) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#130] -Right keys [1]: [d_date_sk#131] -Join type: Inner -Join condition: None +(85) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#129, d_year#130] -(91) Project [codegen id : 18] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, d_year#132] -Input [14]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130, d_date_sk#131, d_year#132] - -(92) HashAggregate [codegen id : 18] -Input [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, d_year#132] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132] -Functions [1]: [partial_sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))] -Aggregate Attributes [2]: [sum#133, isEmpty#134] -Results [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] - -(93) CometColumnarExchange -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] -Arguments: hashpartitioning(c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(94) CometColumnarToRow [codegen id : 19] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] - -(95) HashAggregate [codegen id : 19] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132] -Functions [1]: [sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))#137] -Results [2]: [c_customer_id#119 AS customer_id#138, sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))#137 AS year_total#139] - -(96) Filter [codegen id : 19] -Input [2]: [customer_id#138, year_total#139] -Condition : (isnotnull(year_total#139) AND (year_total#139 > 0.000000)) - -(97) BroadcastExchange -Input [2]: [customer_id#138, year_total#139] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=14] - -(98) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#138] +(86) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#128] +Right keys [1]: [d_date_sk#129] Join type: Inner Join condition: None -(99) Project [codegen id : 24] -Output [11]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, year_total#139] -Input [12]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, customer_id#138, year_total#139] - -(100) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] +(87) Project [codegen id : 15] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, d_year#130] +Input [14]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128, d_date_sk#129, d_year#130] + +(88) HashAggregate [codegen id : 15] +Input [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, d_year#130] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130] +Functions [1]: [partial_sum(((((ws_ext_list_price#127 - ws_ext_wholesale_cost#126) - ws_ext_discount_amt#124) + ws_ext_sales_price#125) / 2))] +Aggregate Attributes [2]: [sum#131, isEmpty#132] +Results [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] + +(89) CometColumnarExchange +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] +Arguments: hashpartitioning(c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(90) CometHashAggregate +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130] +Functions [1]: [sum(((((ws_ext_list_price#127 - ws_ext_wholesale_cost#126) - ws_ext_discount_amt#124) + ws_ext_sales_price#125) / 2))] + +(91) CometFilter +Input [2]: [customer_id#135, year_total#136] +Condition : (isnotnull(year_total#136) AND (year_total#136 > 0.000000)) + +(92) CometBroadcastExchange +Input [2]: [customer_id#135, year_total#136] +Arguments: [customer_id#135, year_total#136] + +(93) CometBroadcastHashJoin +Left output [10]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108] +Right output [2]: [customer_id#135, year_total#136] +Arguments: [customer_id#28], [customer_id#135], Inner, BuildRight + +(94) CometProject +Input [12]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, customer_id#135, year_total#136] +Arguments: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136], [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136] + +(95) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(101) CometFilter -Input [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] -Condition : (isnotnull(c_customer_sk#140) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#141, 16, true, false, true))) +(96) CometFilter +Input [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] +Condition : (isnotnull(c_customer_sk#137) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#138, 16, true, false, true))) -(102) CometProject -Input [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] -Arguments: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124], [c_customer_sk#140, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#141, 16, true, false, true) AS c_customer_id#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#142, 20, true, false, true) AS c_first_name#120, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#143, 30, true, false, true) AS c_last_name#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#144, 1, true, false, true) AS c_preferred_cust_flag#122, c_birth_country#145, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#146, 13, true, false, true) AS c_login#123, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#147, 50, true, false, true) AS c_email_address#124] +(97) CometProject +Input [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] +Arguments: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122], [c_customer_sk#137, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#138, 16, true, false, true) AS c_customer_id#117, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#139, 20, true, false, true) AS c_first_name#118, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#140, 30, true, false, true) AS c_last_name#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#141, 1, true, false, true) AS c_preferred_cust_flag#120, c_birth_country#142, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#143, 13, true, false, true) AS c_login#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#144, 50, true, false, true) AS c_email_address#122] -(103) CometColumnarToRow [codegen id : 22] -Input [8]: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124] +(98) CometColumnarToRow [codegen id : 18] +Input [8]: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122] -(104) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(99) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#153), dynamicpruningexpression(ws_sold_date_sk#153 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ws_sold_date_sk#150), dynamicpruningexpression(ws_sold_date_sk#150 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(105) ColumnarToRow [codegen id : 20] -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(100) ColumnarToRow [codegen id : 16] +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] -(106) Filter [codegen id : 20] -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Condition : isnotnull(ws_bill_customer_sk#148) +(101) Filter [codegen id : 16] +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Condition : isnotnull(ws_bill_customer_sk#145) -(107) BroadcastExchange -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(102) BroadcastExchange +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -(108) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [c_customer_sk#140] -Right keys [1]: [ws_bill_customer_sk#148] +(103) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [c_customer_sk#137] +Right keys [1]: [ws_bill_customer_sk#145] Join type: Inner Join condition: None -(109) Project [codegen id : 22] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Input [14]: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(104) Project [codegen id : 18] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Input [14]: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] -(110) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#154, d_year#155] +(105) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#151, d_year#152] -(111) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#153] -Right keys [1]: [d_date_sk#154] +(106) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#150] +Right keys [1]: [d_date_sk#151] Join type: Inner Join condition: None -(112) Project [codegen id : 22] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, d_year#155] -Input [14]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153, d_date_sk#154, d_year#155] - -(113) HashAggregate [codegen id : 22] -Input [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, d_year#155] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155] -Functions [1]: [partial_sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))] -Aggregate Attributes [2]: [sum#156, isEmpty#157] -Results [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] - -(114) CometColumnarExchange -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] -Arguments: hashpartitioning(c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] - -(115) CometColumnarToRow [codegen id : 23] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] - -(116) HashAggregate [codegen id : 23] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155] -Functions [1]: [sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))#137] -Results [2]: [c_customer_id#119 AS customer_id#160, sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))#137 AS year_total#161] - -(117) BroadcastExchange -Input [2]: [customer_id#160, year_total#161] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=17] - -(118) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#160] -Join type: Inner -Join condition: (CASE WHEN (year_total#88 > 0.000000) THEN (year_total#110 / year_total#88) END > CASE WHEN (year_total#139 > 0.000000) THEN (year_total#161 / year_total#139) END) +(107) Project [codegen id : 18] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, d_year#152] +Input [14]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150, d_date_sk#151, d_year#152] + +(108) HashAggregate [codegen id : 18] +Input [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, d_year#152] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152] +Functions [1]: [partial_sum(((((ws_ext_list_price#149 - ws_ext_wholesale_cost#148) - ws_ext_discount_amt#146) + ws_ext_sales_price#147) / 2))] +Aggregate Attributes [2]: [sum#153, isEmpty#154] +Results [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] + +(109) CometColumnarExchange +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] +Arguments: hashpartitioning(c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] + +(110) CometHashAggregate +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152] +Functions [1]: [sum(((((ws_ext_list_price#149 - ws_ext_wholesale_cost#148) - ws_ext_discount_amt#146) + ws_ext_sales_price#147) / 2))] + +(111) CometBroadcastExchange +Input [2]: [customer_id#157, year_total#158] +Arguments: [customer_id#157, year_total#158] + +(112) CometBroadcastHashJoin +Left output [11]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136] +Right output [2]: [customer_id#157, year_total#158] +Arguments: [customer_id#28], [customer_id#157], Inner, (CASE WHEN (year_total#86 > 0.000000) THEN (year_total#108 / year_total#86) END > CASE WHEN (year_total#136 > 0.000000) THEN (year_total#158 / year_total#136) END), BuildRight + +(113) CometProject +Input [13]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136, customer_id#157, year_total#158] +Arguments: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57], [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] -(119) Project [codegen id : 24] -Output [7]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] -Input [13]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, year_total#139, customer_id#160, year_total#161] +(114) CometTakeOrderedAndProject +Input [7]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#51 ASC NULLS FIRST,customer_first_name#52 ASC NULLS FIRST,customer_last_name#53 ASC NULLS FIRST,customer_preferred_cust_flag#54 ASC NULLS FIRST,customer_birth_country#55 ASC NULLS FIRST,customer_login#56 ASC NULLS FIRST,customer_email_address#57 ASC NULLS FIRST], output=[customer_id#51,customer_first_name#52,customer_last_name#53,customer_preferred_cust_flag#54,customer_birth_country#55,customer_login#56,customer_email_address#57]), [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57], 100, 0, [customer_id#51 ASC NULLS FIRST, customer_first_name#52 ASC NULLS FIRST, customer_last_name#53 ASC NULLS FIRST, customer_preferred_cust_flag#54 ASC NULLS FIRST, customer_birth_country#55 ASC NULLS FIRST, customer_login#56 ASC NULLS FIRST, customer_email_address#57 ASC NULLS FIRST], [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] -(120) TakeOrderedAndProject -Input [7]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] -Arguments: 100, [customer_id#52 ASC NULLS FIRST, customer_first_name#53 ASC NULLS FIRST, customer_last_name#54 ASC NULLS FIRST, customer_preferred_cust_flag#55 ASC NULLS FIRST, customer_birth_country#56 ASC NULLS FIRST, customer_login#57 ASC NULLS FIRST, customer_email_address#58 ASC NULLS FIRST], [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] +(115) CometColumnarToRow [codegen id : 19] +Input [7]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#20 IN dynamicpruning#21 -BroadcastExchange (124) -+- * CometColumnarToRow (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +BroadcastExchange (119) ++- * CometColumnarToRow (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(121) CometNativeScan parquet spark_catalog.default.date_dim +(116) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#22, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter +(117) CometFilter Input [2]: [d_date_sk#22, d_year#23] Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#22)) -(123) CometColumnarToRow [codegen id : 1] +(118) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#22, d_year#23] -(124) BroadcastExchange +(119) BroadcastExchange Input [2]: [d_date_sk#22, d_year#23] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#44 IN dynamicpruning#45 -BroadcastExchange (128) -+- * CometColumnarToRow (127) - +- CometFilter (126) - +- CometNativeScan parquet spark_catalog.default.date_dim (125) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#43 IN dynamicpruning#44 +BroadcastExchange (123) ++- * CometColumnarToRow (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(125) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#46, d_year#47] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#45, d_year#46] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(126) CometFilter -Input [2]: [d_date_sk#46, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2002)) AND isnotnull(d_date_sk#46)) +(121) CometFilter +Input [2]: [d_date_sk#45, d_year#46] +Condition : ((isnotnull(d_year#46) AND (d_year#46 = 2002)) AND isnotnull(d_date_sk#45)) -(127) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#46, d_year#47] +(122) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#45, d_year#46] -(128) BroadcastExchange -Input [2]: [d_date_sk#46, d_year#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=19] +(123) BroadcastExchange +Input [2]: [d_date_sk#45, d_year#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] -Subquery:3 Hosting operator id = 42 Hosting Expression = cs_sold_date_sk#79 IN dynamicpruning#21 +Subquery:3 Hosting operator id = 40 Hosting Expression = cs_sold_date_sk#78 IN dynamicpruning#21 -Subquery:4 Hosting operator id = 63 Hosting Expression = cs_sold_date_sk#102 IN dynamicpruning#45 +Subquery:4 Hosting operator id = 60 Hosting Expression = cs_sold_date_sk#100 IN dynamicpruning#44 -Subquery:5 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#130 IN dynamicpruning#21 +Subquery:5 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#128 IN dynamicpruning#21 -Subquery:6 Hosting operator id = 104 Hosting Expression = ws_sold_date_sk#153 IN dynamicpruning#45 +Subquery:6 Hosting operator id = 99 Hosting Expression = ws_sold_date_sk#150 IN dynamicpruning#44 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/extended.txt index 54e1a1c11a..b2f95f1c2f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/extended.txt @@ -1,136 +1,131 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : : +- BroadcastExchange - : : : : : : +- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : : +- BroadcastExchange + : : : : : : +- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -151,4 +146,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 40 out of 126 eligible operators (31%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 64 out of 126 eligible operators (50%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/simplified.txt index 56bc32e144..2934bad069 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q4.native_datafusion/simplified.txt @@ -1,18 +1,18 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - WholeStageCodegen (24) - Project [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (19) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] @@ -41,151 +41,131 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] #4 + CometHashAggregate [d_year,sum,isEmpty] [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #14 - WholeStageCodegen (19) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 - WholeStageCodegen (18) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - BroadcastExchange #16 - WholeStageCodegen (16) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #17 - WholeStageCodegen (23) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 - WholeStageCodegen (22) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 InputAdapter - BroadcastExchange #19 - WholeStageCodegen (20) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #14 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 + WholeStageCodegen (15) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #16 + WholeStageCodegen (13) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #17 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 + WholeStageCodegen (18) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #19 + WholeStageCodegen (16) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/explain.txt index 1d20f0a3f0..edc60ba04d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -207,19 +207,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#19] Input [3]: [ca_zip#12, ca_city#10, sum#19] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(37) CometColumnarToRow [codegen id : 7] -Input [3]: [ca_zip#12, ca_city#10, sum#19] - -(38) HashAggregate [codegen id : 7] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#19] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#20] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#20,17,2) AS sum(ws_sales_price)#21] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#21] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#21] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#20] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#20]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#20], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#20] + +(39) CometColumnarToRow [codegen id : 7] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#20] ===== Subqueries ===== @@ -232,18 +230,18 @@ BroadcastExchange (44) (40) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#22, d_qoy#23] +Output [3]: [d_date_sk#13, d_year#21, d_qoy#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (41) CometFilter -Input [3]: [d_date_sk#13, d_year#22, d_qoy#23] -Condition : ((((isnotnull(d_qoy#23) AND isnotnull(d_year#22)) AND (d_qoy#23 = 2)) AND (d_year#22 = 2001)) AND isnotnull(d_date_sk#13)) +Input [3]: [d_date_sk#13, d_year#21, d_qoy#22] +Condition : ((((isnotnull(d_qoy#22) AND isnotnull(d_year#21)) AND (d_qoy#22 = 2)) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#13)) (42) CometProject -Input [3]: [d_date_sk#13, d_year#22, d_qoy#23] +Input [3]: [d_date_sk#13, d_year#21, d_qoy#22] Arguments: [d_date_sk#13], [d_date_sk#13] (43) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/extended.txt index c58a64e326..3c79c4eafe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -48,4 +48,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 18 out of 41 eligible operators (43%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 20 out of 41 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/simplified.txt index 81ecde84b2..4a8d64e446 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (7) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (6) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/explain.txt index 9d3cf3d382..a6892dc23f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#21] Input [3]: [ca_zip#12, ca_city#10, sum#21] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#21] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#21] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#22] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#22,17,2) AS sum(ws_sales_price)#23] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#22]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#22], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/explain.txt index 9d3cf3d382..a6892dc23f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#21] Input [3]: [ca_zip#12, ca_city#10, sum#21] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#21] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#21] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#22] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#22,17,2) AS sum(ws_sales_price)#23] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#22]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#22], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q45/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/explain.txt index 994cd12469..fbaa6f65df 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, su Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#22, sum(UnscaledValue(ss_net_profit#7))#23] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#17 AS bought_city#24, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#22,17,2) AS amt#25, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#23,17,2) AS profit#26] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(c_current_addr_sk#28)) +(31) CometFilter +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Condition : (isnotnull(c_customer_sk#22) AND isnotnull(c_current_addr_sk#23)) -(33) CometProject -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Arguments: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32], [c_customer_sk#27, c_current_addr_sk#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#32] +(32) CometProject +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [c_customer_sk#22, c_current_addr_sk#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#24, 20, true, false, true) AS c_first_name#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#25, 30, true, false, true) AS c_last_name#27] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(35) BroadcastExchange -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30] +Right output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_customer_sk#1], [c_customer_sk#22], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#27] -Join type: Inner -Join condition: None +(35) CometProject +Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30, c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(37) Project [codegen id : 8] -Output [7]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#24, amt#25, profit#26, c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#31, ca_city#32] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#33, ca_city#34] +(37) CometFilter +Input [2]: [ca_address_sk#31, ca_city#32] +Condition : (isnotnull(ca_address_sk#31) AND isnotnull(ca_city#32)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#28] -Right keys [1]: [ca_address_sk#33] -Join type: Inner -Join condition: NOT (ca_city#34 = bought_city#24) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#31, ca_city#32] +Arguments: [ca_address_sk#31, ca_city#32] -(40) Project [codegen id : 8] -Output [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Input [9]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32, ca_address_sk#33, ca_city#34] +(39) CometBroadcastHashJoin +Left output [7]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Right output [2]: [ca_address_sk#31, ca_city#32] +Arguments: [c_current_addr_sk#23], [ca_address_sk#31], Inner, NOT (ca_city#32 = bought_city#28), BuildRight -(41) TakeOrderedAndProject -Input [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Arguments: 100, [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, ca_city#34 ASC NULLS FIRST, bought_city#24 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] +(40) CometProject +Input [9]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27, ca_address_sk#31, ca_city#32] +Arguments: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(41) CometTakeOrderedAndProject +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#27 ASC NULLS FIRST,c_first_name#26 ASC NULLS FIRST,ca_city#32 ASC NULLS FIRST,bought_city#28 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#27,c_first_name#26,ca_city#32,bought_city#28,ss_ticket_number#5,amt#29,profit#30]), [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], 100, 0, [c_last_name#27 ASC NULLS FIRST, c_first_name#26 ASC NULLS FIRST, ca_city#32 ASC NULLS FIRST, bought_city#28 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(42) CometColumnarToRow [codegen id : 6] +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#35, d_dow#36] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#33, d_dow#34] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_dow, [0,6]), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] -Condition : ((d_dow#36 IN (6,0) AND d_year#35 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(44) CometFilter +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] +Condition : ((d_dow#34 IN (6,0) AND d_year#33 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(44) CometProject -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] +(45) CometProject +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] Arguments: [d_date_sk#10], [d_date_sk#10] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/simplified.txt index b4b78689b1..44cd36c176 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q46.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),bought_city,amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometBroadcastHashJoin [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,ca_city,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_nu InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/explain.txt index 3f98e1bd21..837295d58a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] -Keys [6]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(ss_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#29))#19] -Results [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(ss_sales_price#29))#19,17,2) AS sum_sales#20] +(32) CometHashAggregate +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] +Keys [6]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#28))] -(35) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST, s_company_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST, s_company_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] -(38) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#5, i_brand#4, s_store_name#24, s_company_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#29], [i_category#5, i_brand#4, s_store_name#23, s_company_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#5 AS i_category#31, i_brand#4 AS i_brand#32, s_store_name#24, s_company_name#25, sum_sales#20 AS sum_sales#33, rn#30] -Input [8]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20, rn#30] +(37) Project [codegen id : 12] +Output [6]: [i_category#5 AS i_category#30, i_brand#4 AS i_brand#31, s_store_name#23, s_company_name#24, sum_sales#19 AS sum_sales#32, rn#29] +Input [8]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19, rn#29] -(40) BroadcastExchange -Input [6]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(38) BroadcastExchange +Input [6]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, (rn#30 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, (rn#29 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(44) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#34 ASC NULLS FIRST, s_company_name#35 ASC NULLS FIRST, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#33 ASC NULLS FIRST, s_company_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(46) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [rank(d_year#36, d_moy#37) windowspecdefinition(i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#5, i_brand#4, s_store_name#34, s_company_name#35], [d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#5, i_brand#4, s_store_name#33, s_company_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#5 AS i_category#39, i_brand#4 AS i_brand#40, s_store_name#34, s_company_name#35, sum_sales#20 AS sum_sales#41, rn#38] -Input [8]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20, rn#38] +(45) Project [codegen id : 18] +Output [6]: [i_category#5 AS i_category#38, i_brand#4 AS i_brand#39, s_store_name#33, s_company_name#34, sum_sales#19 AS sum_sales#40, rn#37] +Input [8]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19, rn#37] -(48) BroadcastExchange -Input [6]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(46) BroadcastExchange +Input [6]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#33 AS psum#42, sum_sales#41 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33, i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(48) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#32 AS psum#41, sum_sales#40 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32, i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] -(51) TakeOrderedAndProject -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/simplified.txt index 017805e5b2..b87d01e0f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_brand,s_company_name,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_bra Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/explain.txt index 494c1d4338..9e8a281af7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (30) -+- * CometColumnarToRow (29) +* CometColumnarToRow (30) ++- CometHashAggregate (29) +- CometColumnarExchange (28) +- * HashAggregate (27) +- * Project (26) @@ -162,15 +162,13 @@ Results [1]: [sum#21] Input [1]: [sum#21] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 6] -Input [1]: [sum#21] - -(30) HashAggregate [codegen id : 6] +(29) CometHashAggregate Input [1]: [sum#21] Keys: [] Functions [1]: [sum(ss_quantity#4)] -Aggregate Attributes [1]: [sum(ss_quantity#4)#22] -Results [1]: [sum(ss_quantity#4)#22 AS sum(ss_quantity)#23] + +(30) CometColumnarToRow [codegen id : 6] +Input [1]: [sum(ss_quantity)#22] ===== Subqueries ===== @@ -183,18 +181,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_year#24] +Output [2]: [d_date_sk#19, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [2]: [d_date_sk#19, d_year#24] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_year#23] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#19)) (33) CometProject -Input [2]: [d_date_sk#19, d_year#24] +Input [2]: [d_date_sk#19, d_year#23] Arguments: [d_date_sk#19], [d_date_sk#19] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/extended.txt index 1ef8426231..ffe4f6d22e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/simplified.txt index 0cd7e900b0..484b010a1b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q48.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (6) - HashAggregate [sum] [sum(ss_quantity),sum(ss_quantity),sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [sum(ss_quantity),sum(ss_quantity)] CometColumnarExchange #1 WholeStageCodegen (5) HashAggregate [ss_quantity] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/explain.txt index 0a43ebc390..17221af5d0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/explain.txt index a0a95bd28b..64b7f0844b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/explain.txt @@ -1,85 +1,82 @@ == Physical Plan == -TakeOrderedAndProject (81) -+- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * Expand (76) - +- Union (75) - :- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- Union (9) - : : : :- * Project (4) - : : : : +- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- * Project (8) - : : : +- * Filter (7) - : : : +- * ColumnarToRow (6) - : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : +- ReusedExchange (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- Union (32) - : : : :- * Project (27) - : : : : +- * Filter (26) - : : : : +- * ColumnarToRow (25) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : +- * Project (31) - : : : +- * Filter (30) - : : : +- * ColumnarToRow (29) - : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : +- ReusedExchange (33) - : +- BroadcastExchange (40) - : +- * CometColumnarToRow (39) - : +- CometProject (38) - : +- CometFilter (37) - : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - +- * HashAggregate (74) - +- * CometColumnarToRow (73) - +- CometColumnarExchange (72) - +- * HashAggregate (71) - +- * Project (70) - +- * BroadcastHashJoin Inner BuildRight (69) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- Union (60) - : : :- * Project (50) - : : : +- * Filter (49) - : : : +- * ColumnarToRow (48) - : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : +- * Project (59) - : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : :- BroadcastExchange (53) - : : : +- * ColumnarToRow (52) - : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : +- * CometColumnarToRow (57) - : : +- CometProject (56) - : : +- CometFilter (55) - : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : +- ReusedExchange (61) - +- BroadcastExchange (68) - +- * CometColumnarToRow (67) - +- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.web_site (64) +* CometColumnarToRow (78) ++- CometTakeOrderedAndProject (77) + +- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometExpand (73) + +- CometUnion (72) + :- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- Union (9) + : : : :- * Project (4) + : : : : +- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- * Project (8) + : : : +- * Filter (7) + : : : +- * ColumnarToRow (6) + : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : +- ReusedExchange (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + :- CometHashAggregate (44) + : +- CometColumnarExchange (43) + : +- * HashAggregate (42) + : +- * Project (41) + : +- * BroadcastHashJoin Inner BuildRight (40) + : :- * Project (34) + : : +- * BroadcastHashJoin Inner BuildRight (33) + : : :- Union (31) + : : : :- * Project (26) + : : : : +- * Filter (25) + : : : : +- * ColumnarToRow (24) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : +- * Project (30) + : : : +- * Filter (29) + : : : +- * ColumnarToRow (28) + : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : +- ReusedExchange (32) + : +- BroadcastExchange (39) + : +- * CometColumnarToRow (38) + : +- CometProject (37) + : +- CometFilter (36) + : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildRight (60) + : :- Union (58) + : : :- * Project (48) + : : : +- * Filter (47) + : : : +- * ColumnarToRow (46) + : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : +- * Project (57) + : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : :- BroadcastExchange (51) + : : : +- * ColumnarToRow (50) + : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : +- * CometColumnarToRow (55) + : : +- CometProject (54) + : : +- CometFilter (53) + : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : +- ReusedExchange (59) + +- BroadcastExchange (66) + +- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.web_site (62) (1) Scan parquet spark_catalog.default.store_sales @@ -122,7 +119,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 86] +(10) ReusedExchange [Reuses operator id: 83] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -178,322 +175,306 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#38, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#39, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#40, store channel AS channel#41, concat(store, s_store_id#25) AS id#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#65, 16, true, false, true) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#56, 16, true, false, true) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#79, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#80, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#81, catalog channel AS channel#82, concat(catalog_page, cp_catalog_page_id#66) AS id#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#111, 16, true, false, true) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#93, 16, true, false, true) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#125, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#126, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#127, web channel AS channel#128, concat(web_site, web_site_id#112) AS id#129] - -(75) Union - -(76) Expand [codegen id : 20] -Input [5]: [sales#38, returns#39, profit#40, channel#41, id#42] -Arguments: [[sales#38, returns#39, profit#40, channel#41, id#42, 0], [sales#38, returns#39, profit#40, channel#41, null, 1], [sales#38, returns#39, profit#40, null, null, 3]], [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] - -(77) HashAggregate [codegen id : 20] -Input [6]: [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [partial_sum(sales#38), partial_sum(returns#39), partial_sum(profit#40)] -Aggregate Attributes [6]: [sum#133, isEmpty#134, sum#135, isEmpty#136, sum#137, isEmpty#138] -Results [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(78) CometColumnarExchange -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Arguments: hashpartitioning(channel#130, id#131, spark_grouping_id#132, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(79) CometColumnarToRow [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(80) HashAggregate [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [sum(sales#38), sum(returns#39), sum(profit#40)] -Aggregate Attributes [3]: [sum(sales#38)#145, sum(returns#39)#146, sum(profit#40)#147] -Results [5]: [channel#130, id#131, sum(sales#38)#145 AS sales#148, sum(returns#39)#146 AS returns#149, sum(profit#40)#147 AS profit#150] - -(81) TakeOrderedAndProject -Input [5]: [channel#130, id#131, sales#148, returns#149, profit#150] -Arguments: 100, [channel#130 ASC NULLS FIRST, id#131 ASC NULLS FIRST], [channel#130, id#131, sales#148, returns#149, profit#150] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Child 1 Input [5]: [sales#108, returns#109, profit#110, channel#111, id#112] +Child 2 Input [5]: [sales#113, returns#114, profit#115, channel#116, id#117] + +(73) CometExpand +Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Arguments: [[sales#103, returns#104, profit#105, channel#106, id#107, 0], [sales#103, returns#104, profit#105, channel#106, null, 1], [sales#103, returns#104, profit#105, null, null, 3]], [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] + +(74) CometHashAggregate +Input [6]: [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [partial_sum(sales#103), partial_sum(returns#104), partial_sum(profit#105)] + +(75) CometExchange +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Arguments: hashpartitioning(channel#118, id#119, spark_grouping_id#120, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [sum(sales#103), sum(returns#104), sum(profit#105)] + +(77) CometTakeOrderedAndProject +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#118 ASC NULLS FIRST,id#119 ASC NULLS FIRST], output=[channel#118,id#119,sales#127,returns#128,profit#129]), [channel#118, id#119, sales#127, returns#128, profit#129], 100, 0, [channel#118 ASC NULLS FIRST, id#119 ASC NULLS FIRST], [channel#118, id#119, sales#127, returns#128, profit#129] + +(78) CometColumnarToRow [codegen id : 17] +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (86) -+- * CometColumnarToRow (85) - +- CometProject (84) - +- CometFilter (83) - +- CometNativeScan parquet spark_catalog.default.date_dim (82) +BroadcastExchange (83) ++- * CometColumnarToRow (82) + +- CometProject (81) + +- CometFilter (80) + +- CometNativeScan parquet spark_catalog.default.date_dim (79) -(82) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#151] +(79) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#130] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-06), IsNotNull(d_date_sk)] ReadSchema: struct -(83) CometFilter -Input [2]: [d_date_sk#22, d_date#151] -Condition : (((isnotnull(d_date#151) AND (d_date#151 >= 2000-08-23)) AND (d_date#151 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) +(80) CometFilter +Input [2]: [d_date_sk#22, d_date#130] +Condition : (((isnotnull(d_date#130) AND (d_date#130 >= 2000-08-23)) AND (d_date#130 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) -(84) CometProject -Input [2]: [d_date_sk#22, d_date#151] +(81) CometProject +Input [2]: [d_date_sk#22, d_date#130] Arguments: [d_date_sk#22], [d_date_sk#22] -(85) CometColumnarToRow [codegen id : 1] +(82) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(86) BroadcastExchange +(83) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/extended.txt index 60352ef90a..88064e71a8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/extended.txt @@ -1,106 +1,103 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 86 eligible operators (41%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/simplified.txt index 9dc4fc19c7..839d067d85 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q5.native_datafusion/simplified.txt @@ -1,137 +1,126 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (21) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (20) - HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Expand [sales,returns,profit,channel,id] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #2 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] +WholeStageCodegen (17) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id,spark_grouping_id] #1 + CometHashAggregate [sales,returns,profit] [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExpand [channel,id] [sales,returns,profit,channel,id,spark_grouping_id] + CometUnion [sales,returns,profit,channel,id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),s_store_id] + CometColumnarExchange [s_store_id] #2 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),cp_catalog_page_id] + CometColumnarExchange [cp_catalog_page_id] #5 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),web_site_id] + CometColumnarExchange [web_site_id] #7 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cp_catalog_page_id] #5 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [web_site_id] #7 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + BroadcastExchange #8 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/explain.txt index de9a1cd3ec..0cd6792361 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * HashAggregate (29) - +- * CometColumnarToRow (28) +* CometColumnarToRow (30) ++- CometTakeOrderedAndProject (29) + +- CometHashAggregate (28) +- CometColumnarExchange (27) +- * HashAggregate (26) +- * Project (25) @@ -159,19 +159,17 @@ Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_na Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Arguments: hashpartitioning(s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(28) CometColumnarToRow [codegen id : 6] -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] - -(29) HashAggregate [codegen id : 6] +(28) CometHashAggregate Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Keys [10]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25] Functions [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)] -Aggregate Attributes [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42] -Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38 AS 30 days #43, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39 AS 31 - 60 days #44, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40 AS 61 - 90 days #45, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41 AS 91 - 120 days #46, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42 AS >120 days #47] -(30) TakeOrderedAndProject -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] -Arguments: 100, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] +(29) CometTakeOrderedAndProject +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#12 ASC NULLS FIRST,s_company_id#13 ASC NULLS FIRST,s_street_number#14 ASC NULLS FIRST,s_street_name#15 ASC NULLS FIRST,s_street_type#22 ASC NULLS FIRST,s_suite_number#23 ASC NULLS FIRST,s_city#18 ASC NULLS FIRST,s_county#19 ASC NULLS FIRST,s_state#24 ASC NULLS FIRST,s_zip#25 ASC NULLS FIRST], output=[s_store_name#12,s_company_id#13,s_street_number#14,s_street_name#15,s_street_type#22,s_suite_number#23,s_city#18,s_county#19,s_state#24,s_zip#25,30 days #38,31 - 60 days #39,61 - 90 days #40,91 - 120 days #41,>120 days #42]), [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42], 100, 0, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] + +(30) CometColumnarToRow [codegen id : 6] +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] ===== Subqueries ===== @@ -184,18 +182,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#27, d_year#48, d_moy#49] +Output [3]: [d_date_sk#27, d_year#43, d_moy#44] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,8), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#49)) AND (d_year#48 = 2001)) AND (d_moy#49 = 8)) AND isnotnull(d_date_sk#27)) +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] +Condition : ((((isnotnull(d_year#43) AND isnotnull(d_moy#44)) AND (d_year#43 = 2001)) AND (d_moy#44 = 8)) AND isnotnull(d_date_sk#27)) (33) CometProject -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] Arguments: [d_date_sk#27], [d_date_sk#27] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/extended.txt index 6ece21441c..babe7d6a33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/simplified.txt index 186c041b09..0a9ef0f315 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q50.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] - WholeStageCodegen (6) - HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sum,sum,sum,sum,sum] [sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END),30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] + CometHashAggregate [sum,sum,sum,sum,sum] [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END)] CometColumnarExchange [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip] #1 WholeStageCodegen (5) HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sr_returned_date_sk,ss_sold_date_sk] [sum,sum,sum,sum,sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/explain.txt index 9af40029c8..f17ae036f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/explain.txt @@ -1,46 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (42) -+- * Filter (41) - +- Window (40) - +- * CometColumnarToRow (39) - +- CometSort (38) - +- CometExchange (37) - +- CometProject (36) - +- CometSortMergeJoin (35) - :- CometSort (17) - : +- CometColumnarExchange (16) - : +- * Project (15) - : +- Window (14) - : +- * CometColumnarToRow (13) - : +- CometSort (12) - : +- CometColumnarExchange (11) - : +- * HashAggregate (10) - : +- * CometColumnarToRow (9) - : +- CometColumnarExchange (8) - : +- * HashAggregate (7) - : +- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- Window (31) - +- * CometColumnarToRow (30) - +- CometSort (29) - +- CometColumnarExchange (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- CometColumnarExchange (25) - +- * HashAggregate (24) - +- * Project (23) - +- * BroadcastHashJoin Inner BuildRight (22) - :- * Filter (20) - : +- * ColumnarToRow (19) - : +- Scan parquet spark_catalog.default.store_sales (18) - +- ReusedExchange (21) +TakeOrderedAndProject (40) ++- * Filter (39) + +- Window (38) + +- * CometColumnarToRow (37) + +- CometSort (36) + +- CometExchange (35) + +- CometProject (34) + +- CometSortMergeJoin (33) + :- CometSort (16) + : +- CometColumnarExchange (15) + : +- * Project (14) + : +- Window (13) + : +- * CometColumnarToRow (12) + : +- CometSort (11) + : +- CometExchange (10) + : +- CometHashAggregate (9) + : +- CometColumnarExchange (8) + : +- * HashAggregate (7) + : +- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- CometSort (32) + +- CometColumnarExchange (31) + +- * Project (30) + +- Window (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometExchange (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Filter (19) + : +- * ColumnarToRow (18) + : +- Scan parquet spark_catalog.default.store_sales (17) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.web_sales @@ -58,7 +56,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 47] +(4) ReusedExchange [Reuses operator id: 45] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -82,183 +80,173 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS _w0#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [sum(_w0#11) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [sum(_w0#10) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 5] -Output [3]: [item_sk#10, d_date#6, cume_sales#12] -Input [5]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1, cume_sales#12] +(14) Project [codegen id : 4] +Output [3]: [item_sk#9, d_date#6, cume_sales#11] +Input [5]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1, cume_sales#11] -(16) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(15) CometColumnarExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(17) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: [item_sk#10, d_date#6, cume_sales#12], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(16) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: [item_sk#9, d_date#6, cume_sales#11], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(18) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(17) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#15), dynamicpruningexpression(ss_sold_date_sk#15 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] -(20) Filter [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] -Condition : isnotnull(ss_item_sk#13) +(19) Filter [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_item_sk#12) -(21) ReusedExchange [Reuses operator id: 47] -Output [2]: [d_date_sk#16, d_date#17] +(20) ReusedExchange [Reuses operator id: 45] +Output [2]: [d_date_sk#15, d_date#16] -(22) BroadcastHashJoin [codegen id : 7] -Left keys [1]: [ss_sold_date_sk#15] -Right keys [1]: [d_date_sk#16] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#15] Join type: Inner Join condition: None -(23) Project [codegen id : 7] -Output [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Input [5]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15, d_date_sk#16, d_date#17] - -(24) HashAggregate [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum#18] -Results [3]: [ss_item_sk#13, d_date#17, sum#19] +(22) Project [codegen id : 6] +Output [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Input [5]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14, d_date_sk#15, d_date#16] -(25) CometColumnarExchange -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Arguments: hashpartitioning(ss_item_sk#13, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) HashAggregate [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#13))] +Aggregate Attributes [1]: [sum#17] +Results [3]: [ss_item_sk#12, d_date#16, sum#18] -(26) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] +(24) CometColumnarExchange +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Arguments: hashpartitioning(ss_item_sk#12, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) HashAggregate [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#14))#20] -Results [4]: [ss_item_sk#13 AS item_sk#21, d_date#17, MakeDecimal(sum(UnscaledValue(ss_sales_price#14))#20,17,2) AS _w0#22, ss_item_sk#13] +(25) CometHashAggregate +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [sum(UnscaledValue(ss_sales_price#13))] -(28) CometColumnarExchange -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: hashpartitioning(ss_item_sk#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(26) CometExchange +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: hashpartitioning(ss_item_sk#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(29) CometSort -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13], [ss_item_sk#13 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(27) CometSort +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12], [ss_item_sk#12 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(30) CometColumnarToRow [codegen id : 9] -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] +(28) CometColumnarToRow [codegen id : 7] +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] -(31) Window -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [sum(_w0#22) windowspecdefinition(ss_item_sk#13, d_date#17 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#23], [ss_item_sk#13], [d_date#17 ASC NULLS FIRST] +(29) Window +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [sum(_w0#20) windowspecdefinition(ss_item_sk#12, d_date#16 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#21], [ss_item_sk#12], [d_date#16 ASC NULLS FIRST] -(32) Project [codegen id : 10] -Output [3]: [item_sk#21, d_date#17, cume_sales#23] -Input [5]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13, cume_sales#23] +(30) Project [codegen id : 8] +Output [3]: [item_sk#19, d_date#16, cume_sales#21] +Input [5]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12, cume_sales#21] -(33) CometColumnarExchange -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: hashpartitioning(item_sk#21, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(31) CometColumnarExchange +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: hashpartitioning(item_sk#19, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(34) CometSort -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#21, d_date#17, cume_sales#23], [item_sk#21 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(32) CometSort +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#19, d_date#16, cume_sales#21], [item_sk#19 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(35) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#12] -Right output [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#10, d_date#6], [item_sk#21, d_date#17], FullOuter +(33) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#11] +Right output [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#9, d_date#6], [item_sk#19, d_date#16], FullOuter -(36) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#12, item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#21 END AS item_sk#24, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#17 END AS d_date#25, cume_sales#12 AS web_sales#26, cume_sales#23 AS store_sales#27] +(34) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#11, item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#19 END AS item_sk#22, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#16 END AS d_date#23, cume_sales#11 AS web_sales#24, cume_sales#21 AS store_sales#25] -(37) CometExchange -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: hashpartitioning(item_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(35) CometExchange +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: hashpartitioning(item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(38) CometSort -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST] +(36) CometSort +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST] -(39) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] +(37) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] -(40) Window -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [max(web_sales#26) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#28, max(store_sales#27) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#29], [item_sk#24], [d_date#25 ASC NULLS FIRST] +(38) Window +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [max(web_sales#24) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#26, max(store_sales#25) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#27], [item_sk#22], [d_date#23 ASC NULLS FIRST] -(41) Filter [codegen id : 12] -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Condition : ((isnotnull(web_cumulative#28) AND isnotnull(store_cumulative#29)) AND (web_cumulative#28 > store_cumulative#29)) +(39) Filter [codegen id : 10] +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Condition : ((isnotnull(web_cumulative#26) AND isnotnull(store_cumulative#27)) AND (web_cumulative#26 > store_cumulative#27)) -(42) TakeOrderedAndProject -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Arguments: 100, [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST], [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] +(40) TakeOrderedAndProject +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Arguments: 100, [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST], [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (47) -+- * CometColumnarToRow (46) - +- CometProject (45) - +- CometFilter (44) - +- CometNativeScan parquet spark_catalog.default.date_dim (43) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(43) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(44) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] -Condition : (((isnotnull(d_month_seq#30) AND (d_month_seq#30 >= 1200)) AND (d_month_seq#30 <= 1211)) AND isnotnull(d_date_sk#5)) +(42) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#5)) -(45) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(43) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(46) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(47) BroadcastExchange +(45) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -Subquery:2 Hosting operator id = 18 Hosting Expression = ss_sold_date_sk#15 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/extended.txt index 9dc007f5e9..4a15646c08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/extended.txt @@ -12,48 +12,46 @@ TakeOrderedAndProject : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort +- CometColumnarExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 25 out of 47 eligible operators (53%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/simplified.txt index 51d3f11ae6..ba94b57292 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q51.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (12) + WholeStageCodegen (10) Filter [web_cumulative,store_cumulative] InputAdapter Window [web_sales,item_sk,d_date,store_sales] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -12,62 +12,56 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) + WholeStageCodegen (4) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ws_item_sk] - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #4 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ws_item_sk] #3 + CometHashAggregate [sum] [item_sk,d_date,_w0,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #4 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #6 - WholeStageCodegen (10) + WholeStageCodegen (8) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ss_item_sk,d_date] - WholeStageCodegen (9) + WholeStageCodegen (7) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ss_item_sk] - CometColumnarExchange [ss_item_sk] #7 - WholeStageCodegen (8) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #8 - WholeStageCodegen (7) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ss_item_sk] #7 + CometHashAggregate [sum] [item_sk,d_date,_w0,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #8 + WholeStageCodegen (6) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/explain.txt index f8c8dd3bf2..2b2fa22604 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manufact_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manufact_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_qoy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manufact_id#5, d_qoy#16, sum#19] Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Arguments: hashpartitioning(i_manufact_id#5, d_qoy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Keys [2]: [i_manufact_id#5, d_qoy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manufact_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [i_manufact_id#5, sum_sales#21, _w0#22], [i_manufact_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [i_manufact_id#5, sum_sales#20, _w0#21], [i_manufact_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#23], [i_manufact_id#5] +(26) Window +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#22], [i_manufact_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] -Condition : CASE WHEN (avg_quarterly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_quarterly_sales#23)) / avg_quarterly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] +Condition : CASE WHEN (avg_quarterly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_quarterly_sales#22)) / avg_quarterly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Arguments: 100, [avg_quarterly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Arguments: 100, [avg_quarterly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Arguments: [d_date_sk#15, d_qoy#16], [d_date_sk#15, d_qoy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_qoy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_qoy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/simplified.txt index 63c3e1a17a..f42de7b17a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q53.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [avg_quarterly_sales,sum_sales,i_manufact_id] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manufact_id,sum_sales,avg_quarterly_sales] Filter [avg_quarterly_sales,sum_sales] InputAdapter Window [_w0,i_manufact_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manufact_id,sum_sales,_w0] - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manufact_id,d_qoy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id,d_qoy] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] - Project [i_manufact_id,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manufact_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + CometExchange [i_manufact_id] #1 + CometHashAggregate [d_qoy,sum] [i_manufact_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manufact_id,d_qoy] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] + Project [i_manufact_id,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_qoy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manufact_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_qoy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/explain.txt index 43120fc051..29c67cac89 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/explain.txt @@ -1,65 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (61) -+- * HashAggregate (60) - +- * CometColumnarToRow (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (49) - : +- * BroadcastHashJoin Inner BuildRight (48) - : :- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * CometColumnarToRow (29) - : : : : +- CometHashAggregate (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (19) - : : : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : : : :- * Project (16) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) - : : : : : : :- Union (9) - : : : : : : : :- * Project (4) - : : : : : : : : +- * Filter (3) - : : : : : : : : +- * ColumnarToRow (2) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : : +- * Project (8) - : : : : : : : +- * Filter (7) - : : : : : : : +- * ColumnarToRow (6) - : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) - : : : : : : +- BroadcastExchange (14) - : : : : : : +- * CometColumnarToRow (13) - : : : : : : +- CometProject (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- ReusedExchange (17) - : : : : +- BroadcastExchange (23) - : : : : +- * CometColumnarToRow (22) - : : : : +- CometFilter (21) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) - : : : +- BroadcastExchange (33) - : : : +- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) - : +- BroadcastExchange (47) - : +- * CometColumnarToRow (46) - : +- CometProject (45) - : +- CometFilter (44) - : +- CometNativeScan parquet spark_catalog.default.store (43) - +- ReusedExchange (50) +* CometColumnarToRow (60) ++- CometTakeOrderedAndProject (59) + +- CometHashAggregate (58) + +- CometExchange (57) + +- CometHashAggregate (56) + +- CometHashAggregate (55) + +- CometColumnarExchange (54) + +- * HashAggregate (53) + +- * Project (52) + +- * BroadcastHashJoin Inner BuildRight (51) + :- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (42) + : : +- * BroadcastHashJoin Inner BuildRight (41) + : : :- * Project (35) + : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : :- * CometColumnarToRow (29) + : : : : +- CometHashAggregate (28) + : : : : +- CometColumnarExchange (27) + : : : : +- * HashAggregate (26) + : : : : +- * Project (25) + : : : : +- * BroadcastHashJoin Inner BuildRight (24) + : : : : :- * Project (19) + : : : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : : : :- * Project (16) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) + : : : : : : :- Union (9) + : : : : : : : :- * Project (4) + : : : : : : : : +- * Filter (3) + : : : : : : : : +- * ColumnarToRow (2) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : : +- * Project (8) + : : : : : : : +- * Filter (7) + : : : : : : : +- * ColumnarToRow (6) + : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) + : : : : : : +- BroadcastExchange (14) + : : : : : : +- * CometColumnarToRow (13) + : : : : : : +- CometProject (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- ReusedExchange (17) + : : : : +- BroadcastExchange (23) + : : : : +- * CometColumnarToRow (22) + : : : : +- CometFilter (21) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) + : : : +- BroadcastExchange (33) + : : : +- * Filter (32) + : : : +- * ColumnarToRow (31) + : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : +- BroadcastExchange (40) + : : +- * CometColumnarToRow (39) + : : +- CometProject (38) + : : +- CometFilter (37) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) + : +- BroadcastExchange (47) + : +- * CometColumnarToRow (46) + : +- CometProject (45) + : +- CometFilter (44) + : +- CometNativeScan parquet spark_catalog.default.store (43) + +- ReusedExchange (50) (1) Scan parquet spark_catalog.default.catalog_sales @@ -134,7 +133,7 @@ Join condition: None Output [2]: [sold_date_sk#5, customer_sk#6] Input [4]: [sold_date_sk#5, customer_sk#6, item_sk#7, i_item_sk#14] -(17) ReusedExchange [Reuses operator id: 66] +(17) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#17] (18) BroadcastHashJoin [codegen id : 6] @@ -287,7 +286,7 @@ Join condition: None Output [3]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22] Input [7]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_county#25, ca_state#27, s_county#28, s_state#30] -(50) ReusedExchange [Reuses operator id: 71] +(50) ReusedExchange [Reuses operator id: 70] Output [1]: [d_date_sk#31] (51) BroadcastHashJoin [codegen id : 11] @@ -311,187 +310,178 @@ Results [2]: [c_customer_sk#18, sum#33] Input [2]: [c_customer_sk#18, sum#33] Arguments: hashpartitioning(c_customer_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(55) CometColumnarToRow [codegen id : 12] -Input [2]: [c_customer_sk#18, sum#33] - -(56) HashAggregate [codegen id : 12] +(55) CometHashAggregate Input [2]: [c_customer_sk#18, sum#33] Keys [1]: [c_customer_sk#18] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#21))#34] -Results [1]: [cast((MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#21))#34,17,2) / 50) as int) AS segment#35] -(57) HashAggregate [codegen id : 12] -Input [1]: [segment#35] -Keys [1]: [segment#35] +(56) CometHashAggregate +Input [1]: [segment#34] +Keys [1]: [segment#34] Functions [1]: [partial_count(1)] -Aggregate Attributes [1]: [count#36] -Results [2]: [segment#35, count#37] -(58) CometColumnarExchange -Input [2]: [segment#35, count#37] -Arguments: hashpartitioning(segment#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(57) CometExchange +Input [2]: [segment#34, count#35] +Arguments: hashpartitioning(segment#34, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(59) CometColumnarToRow [codegen id : 13] -Input [2]: [segment#35, count#37] - -(60) HashAggregate [codegen id : 13] -Input [2]: [segment#35, count#37] -Keys [1]: [segment#35] +(58) CometHashAggregate +Input [2]: [segment#34, count#35] +Keys [1]: [segment#34] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#38] -Results [3]: [segment#35, count(1)#38 AS num_customers#39, (segment#35 * 50) AS segment_base#40] -(61) TakeOrderedAndProject -Input [3]: [segment#35, num_customers#39, segment_base#40] -Arguments: 100, [segment#35 ASC NULLS FIRST, num_customers#39 ASC NULLS FIRST], [segment#35, num_customers#39, segment_base#40] +(59) CometTakeOrderedAndProject +Input [3]: [segment#34, num_customers#36, segment_base#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[segment#34 ASC NULLS FIRST,num_customers#36 ASC NULLS FIRST], output=[segment#34,num_customers#36,segment_base#37]), [segment#34, num_customers#36, segment_base#37], 100, 0, [segment#34 ASC NULLS FIRST, num_customers#36 ASC NULLS FIRST], [segment#34, num_customers#36, segment_base#37] + +(60) CometColumnarToRow [codegen id : 12] +Input [3]: [segment#34, num_customers#36, segment_base#37] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (66) -+- * CometColumnarToRow (65) - +- CometProject (64) - +- CometFilter (63) - +- CometNativeScan parquet spark_catalog.default.date_dim (62) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometNativeScan parquet spark_catalog.default.date_dim (61) -(62) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#17, d_year#41, d_moy#42] +(61) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#17, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(63) CometFilter -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 12)) AND (d_year#41 = 1998)) AND isnotnull(d_date_sk#17)) +(62) CometFilter +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 12)) AND (d_year#38 = 1998)) AND isnotnull(d_date_sk#17)) -(64) CometProject -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] +(63) CometProject +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] Arguments: [d_date_sk#17], [d_date_sk#17] -(65) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#17] -(66) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = ws_sold_date_sk#10 IN dynamicpruning#4 Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#23 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.date_dim (67) +BroadcastExchange (70) ++- * CometColumnarToRow (69) + +- CometProject (68) + +- CometFilter (67) + +- CometNativeScan parquet spark_catalog.default.date_dim (66) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#31, d_month_seq#43] +(66) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#31, d_month_seq#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter -Input [2]: [d_date_sk#31, d_month_seq#43] -Condition : (((isnotnull(d_month_seq#43) AND (d_month_seq#43 >= Subquery scalar-subquery#44, [id=#45])) AND (d_month_seq#43 <= Subquery scalar-subquery#46, [id=#47])) AND isnotnull(d_date_sk#31)) +(67) CometFilter +Input [2]: [d_date_sk#31, d_month_seq#40] +Condition : (((isnotnull(d_month_seq#40) AND (d_month_seq#40 >= Subquery scalar-subquery#41, [id=#42])) AND (d_month_seq#40 <= Subquery scalar-subquery#43, [id=#44])) AND isnotnull(d_date_sk#31)) -(69) CometProject -Input [2]: [d_date_sk#31, d_month_seq#43] +(68) CometProject +Input [2]: [d_date_sk#31, d_month_seq#40] Arguments: [d_date_sk#31], [d_date_sk#31] -(70) CometColumnarToRow [codegen id : 1] +(69) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#31] -(71) BroadcastExchange +(70) BroadcastExchange Input [1]: [d_date_sk#31] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] -Subquery:4 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#44, [id=#45] -* CometColumnarToRow (78) -+- CometHashAggregate (77) - +- CometExchange (76) - +- CometHashAggregate (75) - +- CometProject (74) - +- CometFilter (73) - +- CometNativeScan parquet spark_catalog.default.date_dim (72) +Subquery:4 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#41, [id=#42] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometProject (73) + +- CometFilter (72) + +- CometNativeScan parquet spark_catalog.default.date_dim (71) -(72) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#48, d_year#41, d_moy#42] +(71) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#45, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(73) CometFilter -Input [3]: [d_month_seq#48, d_year#41, d_moy#42] -Condition : (((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 12)) +(72) CometFilter +Input [3]: [d_month_seq#45, d_year#38, d_moy#39] +Condition : (((isnotnull(d_year#38) AND isnotnull(d_moy#39)) AND (d_year#38 = 1998)) AND (d_moy#39 = 12)) -(74) CometProject -Input [3]: [d_month_seq#48, d_year#41, d_moy#42] -Arguments: [(d_month_seq + 1)#49], [(d_month_seq#48 + 1) AS (d_month_seq + 1)#49] +(73) CometProject +Input [3]: [d_month_seq#45, d_year#38, d_moy#39] +Arguments: [(d_month_seq + 1)#46], [(d_month_seq#45 + 1) AS (d_month_seq + 1)#46] -(75) CometHashAggregate -Input [1]: [(d_month_seq + 1)#49] -Keys [1]: [(d_month_seq + 1)#49] +(74) CometHashAggregate +Input [1]: [(d_month_seq + 1)#46] +Keys [1]: [(d_month_seq + 1)#46] Functions: [] -(76) CometExchange -Input [1]: [(d_month_seq + 1)#49] -Arguments: hashpartitioning((d_month_seq + 1)#49, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(75) CometExchange +Input [1]: [(d_month_seq + 1)#46] +Arguments: hashpartitioning((d_month_seq + 1)#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(77) CometHashAggregate -Input [1]: [(d_month_seq + 1)#49] -Keys [1]: [(d_month_seq + 1)#49] +(76) CometHashAggregate +Input [1]: [(d_month_seq + 1)#46] +Keys [1]: [(d_month_seq + 1)#46] Functions: [] -(78) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 1)#49] +(77) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 1)#46] -Subquery:5 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#46, [id=#47] -* CometColumnarToRow (85) -+- CometHashAggregate (84) - +- CometExchange (83) - +- CometHashAggregate (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +Subquery:5 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (84) ++- CometHashAggregate (83) + +- CometExchange (82) + +- CometHashAggregate (81) + +- CometProject (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#48, d_year#41, d_moy#42] +(78) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#45, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(80) CometFilter -Input [3]: [d_month_seq#48, d_year#41, d_moy#42] -Condition : (((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 12)) +(79) CometFilter +Input [3]: [d_month_seq#45, d_year#38, d_moy#39] +Condition : (((isnotnull(d_year#38) AND isnotnull(d_moy#39)) AND (d_year#38 = 1998)) AND (d_moy#39 = 12)) -(81) CometProject -Input [3]: [d_month_seq#48, d_year#41, d_moy#42] -Arguments: [(d_month_seq + 3)#50], [(d_month_seq#48 + 3) AS (d_month_seq + 3)#50] +(80) CometProject +Input [3]: [d_month_seq#45, d_year#38, d_moy#39] +Arguments: [(d_month_seq + 3)#47], [(d_month_seq#45 + 3) AS (d_month_seq + 3)#47] -(82) CometHashAggregate -Input [1]: [(d_month_seq + 3)#50] -Keys [1]: [(d_month_seq + 3)#50] +(81) CometHashAggregate +Input [1]: [(d_month_seq + 3)#47] +Keys [1]: [(d_month_seq + 3)#47] Functions: [] -(83) CometExchange -Input [1]: [(d_month_seq + 3)#50] -Arguments: hashpartitioning((d_month_seq + 3)#50, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] +(82) CometExchange +Input [1]: [(d_month_seq + 3)#47] +Arguments: hashpartitioning((d_month_seq + 3)#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(84) CometHashAggregate -Input [1]: [(d_month_seq + 3)#50] -Keys [1]: [(d_month_seq + 3)#50] +(83) CometHashAggregate +Input [1]: [(d_month_seq + 3)#47] +Keys [1]: [(d_month_seq + 3)#47] Functions: [] -(85) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 3)#50] +(84) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 3)#47] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/extended.txt index 6ba04a3153..f56fb4bcd6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/extended.txt @@ -1,116 +1,115 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Union - : : : : : : : :- Project - : : : : : : : : +- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- SubqueryBroadcast - : : : : : : : : +- BroadcastExchange - : : : : : : : : +- CometColumnarToRow - : : : : : : : : +- CometProject - : : : : : : : : +- CometFilter - : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : : +- Project - : : : : : : : +- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : : :- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometExchange - : : : : : +- CometHashAggregate - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometExchange - : : : : +- CometHashAggregate - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - : :- Subquery - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Subquery - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Union + : : : : : : : :- Project + : : : : : : : : +- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- SubqueryBroadcast + : : : : : : : : +- BroadcastExchange + : : : : : : : : +- CometColumnarToRow + : : : : : : : : +- CometProject + : : : : : : : : +- CometFilter + : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : : +- Project + : : : : : : : +- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : : :- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometExchange + : : : : : +- CometHashAggregate + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + : :- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 51 out of 96 eligible operators (53%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 55 out of 96 eligible operators (57%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/simplified.txt index ba04de874d..36b3855118 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q54.native_datafusion/simplified.txt @@ -1,127 +1,124 @@ -TakeOrderedAndProject [segment,num_customers,segment_base] - WholeStageCodegen (13) - HashAggregate [segment,count] [count(1),num_customers,segment_base,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [segment] #1 - WholeStageCodegen (12) - HashAggregate [segment] [count,count] - HashAggregate [c_customer_sk,sum] [sum(UnscaledValue(ss_ext_sales_price)),segment,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #2 - WholeStageCodegen (11) - HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] - Project [c_customer_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [ca_county,ca_state,s_county,s_state] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometHashAggregate [c_customer_sk,c_current_addr_sk] - CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 - WholeStageCodegen (6) - HashAggregate [c_customer_sk,c_current_addr_sk] - Project [c_customer_sk,c_current_addr_sk] - BroadcastHashJoin [customer_sk,c_customer_sk] - Project [customer_sk] - BroadcastHashJoin [sold_date_sk,d_date_sk] - Project [sold_date_sk,customer_sk] - BroadcastHashJoin [item_sk,i_item_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] - Filter [cs_item_sk,cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - WholeStageCodegen (2) - Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] - Filter [ws_item_sk,ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_sk] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (7) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - Subquery #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 1)] - CometExchange [(d_month_seq + 1)] #9 - CometHashAggregate [(d_month_seq + 1)] - CometProject [d_month_seq] [(d_month_seq + 1)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] - Subquery #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 3)] - CometExchange [(d_month_seq + 3)] #10 - CometHashAggregate [(d_month_seq + 3)] - CometProject [d_month_seq] [(d_month_seq + 3)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] +WholeStageCodegen (12) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [segment,num_customers,segment_base] + CometHashAggregate [count] [segment,num_customers,segment_base,count(1)] + CometExchange [segment] #1 + CometHashAggregate [segment,count] + CometHashAggregate [c_customer_sk,sum] [segment,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [c_customer_sk] #2 + WholeStageCodegen (11) + HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] + Project [c_customer_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [ca_county,ca_state,s_county,s_state] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #11 - WholeStageCodegen (8) - CometColumnarToRow + CometHashAggregate [c_customer_sk,c_current_addr_sk] + CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 + WholeStageCodegen (6) + HashAggregate [c_customer_sk,c_current_addr_sk] + Project [c_customer_sk,c_current_addr_sk] + BroadcastHashJoin [customer_sk,c_customer_sk] + Project [customer_sk] + BroadcastHashJoin [sold_date_sk,d_date_sk] + Project [sold_date_sk,customer_sk] + BroadcastHashJoin [item_sk,i_item_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] + Filter [cs_item_sk,cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + WholeStageCodegen (2) + Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] + Filter [ws_item_sk,ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_sk] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Filter [ss_customer_sk] + ColumnarToRow InputAdapter - CometProject [ca_state] [ca_address_sk,ca_county,ca_state] - CometFilter [ca_address_sk,ca_county,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_county,s_state] - CometFilter [s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_county,s_state] - InputAdapter - ReusedExchange [d_date_sk] #8 + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + Subquery #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 1)] + CometExchange [(d_month_seq + 1)] #9 + CometHashAggregate [(d_month_seq + 1)] + CometProject [d_month_seq] [(d_month_seq + 1)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + Subquery #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 3)] + CometExchange [(d_month_seq + 3)] #10 + CometHashAggregate [(d_month_seq + 3)] + CometProject [d_month_seq] [(d_month_seq + 3)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [ca_state] [ca_address_sk,ca_county,ca_state] + CometFilter [ca_address_sk,ca_county,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_county,s_state] + CometFilter [s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_county,s_state] + InputAdapter + ReusedExchange [d_date_sk] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/explain.txt index 62396854a7..a555c3da8e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -194,227 +191,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 2001)) AND (d_moy#51 = 2)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 2001)) AND (d_moy#45 = 2)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/simplified.txt index 81d90bdfb2..30fea52641 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q56.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [total_sales,i_item_id] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_color] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_color] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/explain.txt index c3ba92766c..b323acd26a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] -Keys [5]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25] -Functions [1]: [sum(UnscaledValue(cs_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#27))#18] -Results [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, MakeDecimal(sum(UnscaledValue(cs_sales_price#27))#18,17,2) AS sum_sales#19] +(32) CometHashAggregate +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] +Keys [5]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24] +Functions [1]: [sum(UnscaledValue(cs_sales_price#26))] -(35) CometColumnarExchange -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#23 ASC NULLS FIRST, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#22 ASC NULLS FIRST, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] -(38) Window -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [rank(d_year#24, d_moy#25) windowspecdefinition(i_category#5, i_brand#4, cc_name#23, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#28], [i_category#5, i_brand#4, cc_name#23], [d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [rank(d_year#23, d_moy#24) windowspecdefinition(i_category#5, i_brand#4, cc_name#22, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#27], [i_category#5, i_brand#4, cc_name#22], [d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#5 AS i_category#29, i_brand#4 AS i_brand#30, cc_name#23, sum_sales#19 AS sum_sales#31, rn#28] -Input [7]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19, rn#28] +(37) Project [codegen id : 12] +Output [5]: [i_category#5 AS i_category#28, i_brand#4 AS i_brand#29, cc_name#22, sum_sales#18 AS sum_sales#30, rn#27] +Input [7]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18, rn#27] -(40) BroadcastExchange -Input [5]: [i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(38) BroadcastExchange +Input [5]: [i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#29, i_brand#30, cc_name#23, (rn#28 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#28, i_brand#29, cc_name#22, (rn#27 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(44) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#32 ASC NULLS FIRST, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(46) Window -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [rank(d_year#33, d_moy#34) windowspecdefinition(i_category#5, i_brand#4, cc_name#32, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#35], [i_category#5, i_brand#4, cc_name#32], [d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [rank(d_year#32, d_moy#33) windowspecdefinition(i_category#5, i_brand#4, cc_name#31, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#34], [i_category#5, i_brand#4, cc_name#31], [d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#5 AS i_category#36, i_brand#4 AS i_brand#37, cc_name#32, sum_sales#19 AS sum_sales#38, rn#35] -Input [7]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19, rn#35] +(45) Project [codegen id : 18] +Output [5]: [i_category#5 AS i_category#35, i_brand#4 AS i_brand#36, cc_name#31, sum_sales#18 AS sum_sales#37, rn#34] +Input [7]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18, rn#34] -(48) BroadcastExchange -Input [5]: [i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(46) BroadcastExchange +Input [5]: [i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#36, i_brand#37, cc_name#32, (rn#35 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#35, i_brand#36, cc_name#31, (rn#34 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#39, sum_sales#38 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(48) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#30 AS psum#38, sum_sales#37 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30, i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] -(51) TakeOrderedAndProject -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/simplified.txt index 4f9ac35f4d..320acb9508 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,cc_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_ Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/explain.txt index 7d820f4024..1b4936ffe2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/explain.txt @@ -1,57 +1,55 @@ == Physical Plan == -TakeOrderedAndProject (53) -+- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (35) - : +- * BroadcastHashJoin Inner BuildRight (34) - : :- * Filter (18) - : : +- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (33) - : +- * Filter (32) - : +- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Filter (21) - : : : +- * ColumnarToRow (20) - : : : +- Scan parquet spark_catalog.default.catalog_sales (19) - : : +- ReusedExchange (22) - : +- ReusedExchange (25) - +- BroadcastExchange (50) - +- * Filter (49) - +- * HashAggregate (48) - +- * CometColumnarToRow (47) - +- CometColumnarExchange (46) - +- * HashAggregate (45) - +- * Project (44) - +- * BroadcastHashJoin Inner BuildRight (43) - :- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Filter (38) - : : +- * ColumnarToRow (37) - : : +- Scan parquet spark_catalog.default.web_sales (36) - : +- ReusedExchange (39) - +- ReusedExchange (42) +* CometColumnarToRow (51) ++- CometTakeOrderedAndProject (50) + +- CometProject (49) + +- CometBroadcastHashJoin (48) + :- CometProject (33) + : +- CometBroadcastHashJoin (32) + : :- CometFilter (17) + : : +- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (31) + : +- CometFilter (30) + : +- CometHashAggregate (29) + : +- CometColumnarExchange (28) + : +- * HashAggregate (27) + : +- * Project (26) + : +- * BroadcastHashJoin Inner BuildRight (25) + : :- * Project (23) + : : +- * BroadcastHashJoin Inner BuildRight (22) + : : :- * Filter (20) + : : : +- * ColumnarToRow (19) + : : : +- Scan parquet spark_catalog.default.catalog_sales (18) + : : +- ReusedExchange (21) + : +- ReusedExchange (24) + +- CometBroadcastExchange (47) + +- CometFilter (46) + +- CometHashAggregate (45) + +- CometColumnarExchange (44) + +- * HashAggregate (43) + +- * Project (42) + +- * BroadcastHashJoin Inner BuildRight (41) + :- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Filter (36) + : : +- * ColumnarToRow (35) + : : +- Scan parquet spark_catalog.default.web_sales (34) + : +- ReusedExchange (37) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.store_sales @@ -101,7 +99,7 @@ Join condition: None Output [3]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#7] Input [5]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 63] +(11) ReusedExchange [Reuses operator id: 61] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -125,331 +123,317 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#11] -Results [2]: [i_item_id#7 AS item_id#12, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#11,17,2) AS ss_item_rev#13] -(18) Filter [codegen id : 12] -Input [2]: [item_id#12, ss_item_rev#13] -Condition : isnotnull(ss_item_rev#13) +(17) CometFilter +Input [2]: [item_id#11, ss_item_rev#12] +Condition : isnotnull(ss_item_rev#12) -(19) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(18) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#16), dynamicpruningexpression(cs_sold_date_sk#16 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(cs_sold_date_sk#15), dynamicpruningexpression(cs_sold_date_sk#15 IN dynamicpruning#16)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(19) ColumnarToRow [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] -(21) Filter [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] -Condition : isnotnull(cs_item_sk#14) +(20) Filter [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] +Condition : isnotnull(cs_item_sk#13) -(22) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#18, i_item_id#19] +(21) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#17, i_item_id#18] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_item_sk#14] -Right keys [1]: [i_item_sk#18] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_item_sk#13] +Right keys [1]: [i_item_sk#17] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#19] -Input [5]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_sk#18, i_item_id#19] +(23) Project [codegen id : 6] +Output [3]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#18] +Input [5]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_sk#17, i_item_id#18] -(25) ReusedExchange [Reuses operator id: 77] -Output [1]: [d_date_sk#20] +(24) ReusedExchange [Reuses operator id: 75] +Output [1]: [d_date_sk#19] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_sold_date_sk#16] -Right keys [1]: [d_date_sk#20] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_sold_date_sk#15] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [2]: [cs_ext_sales_price#15, i_item_id#19] -Input [4]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#19, d_date_sk#20] - -(28) HashAggregate [codegen id : 6] -Input [2]: [cs_ext_sales_price#15, i_item_id#19] -Keys [1]: [i_item_id#19] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#21] -Results [2]: [i_item_id#19, sum#22] - -(29) CometColumnarExchange -Input [2]: [i_item_id#19, sum#22] -Arguments: hashpartitioning(i_item_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#19, sum#22] - -(31) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#19, sum#22] -Keys [1]: [i_item_id#19] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#15))#23] -Results [2]: [i_item_id#19 AS item_id#24, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#15))#23,17,2) AS cs_item_rev#25] - -(32) Filter [codegen id : 7] -Input [2]: [item_id#24, cs_item_rev#25] -Condition : isnotnull(cs_item_rev#25) - -(33) BroadcastExchange -Input [2]: [item_id#24, cs_item_rev#25] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(34) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#24] -Join type: Inner -Join condition: ((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * cs_item_rev#25)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * cs_item_rev#25))) AND (cast(cs_item_rev#25 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(cs_item_rev#25 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) - -(35) Project [codegen id : 12] -Output [3]: [item_id#12, ss_item_rev#13, cs_item_rev#25] -Input [4]: [item_id#12, ss_item_rev#13, item_id#24, cs_item_rev#25] - -(36) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_item_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] +(26) Project [codegen id : 6] +Output [2]: [cs_ext_sales_price#14, i_item_id#18] +Input [4]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#18, d_date_sk#19] + +(27) HashAggregate [codegen id : 6] +Input [2]: [cs_ext_sales_price#14, i_item_id#18] +Keys [1]: [i_item_id#18] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#14))] +Aggregate Attributes [1]: [sum#20] +Results [2]: [i_item_id#18, sum#21] + +(28) CometColumnarExchange +Input [2]: [i_item_id#18, sum#21] +Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [2]: [i_item_id#18, sum#21] +Keys [1]: [i_item_id#18] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#14))] + +(30) CometFilter +Input [2]: [item_id#22, cs_item_rev#23] +Condition : isnotnull(cs_item_rev#23) + +(31) CometBroadcastExchange +Input [2]: [item_id#22, cs_item_rev#23] +Arguments: [item_id#22, cs_item_rev#23] + +(32) CometBroadcastHashJoin +Left output [2]: [item_id#11, ss_item_rev#12] +Right output [2]: [item_id#22, cs_item_rev#23] +Arguments: [item_id#11], [item_id#22], Inner, ((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * cs_item_rev#23)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * cs_item_rev#23))) AND (cast(cs_item_rev#23 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(cs_item_rev#23 as decimal(20,3)) <= (1.1 * ss_item_rev#12))), BuildRight + +(33) CometProject +Input [4]: [item_id#11, ss_item_rev#12, item_id#22, cs_item_rev#23] +Arguments: [item_id#11, ss_item_rev#12, cs_item_rev#23], [item_id#11, ss_item_rev#12, cs_item_rev#23] + +(34) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_item_sk#24, ws_ext_sales_price#25, ws_sold_date_sk#26] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#28), dynamicpruningexpression(ws_sold_date_sk#28 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ws_sold_date_sk#26), dynamicpruningexpression(ws_sold_date_sk#26 IN dynamicpruning#16)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(37) ColumnarToRow [codegen id : 10] -Input [3]: [ws_item_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] +(35) ColumnarToRow [codegen id : 9] +Input [3]: [ws_item_sk#24, ws_ext_sales_price#25, ws_sold_date_sk#26] -(38) Filter [codegen id : 10] -Input [3]: [ws_item_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] -Condition : isnotnull(ws_item_sk#26) +(36) Filter [codegen id : 9] +Input [3]: [ws_item_sk#24, ws_ext_sales_price#25, ws_sold_date_sk#26] +Condition : isnotnull(ws_item_sk#24) -(39) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#29, i_item_id#30] +(37) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#27, i_item_id#28] -(40) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#26] -Right keys [1]: [i_item_sk#29] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_item_sk#24] +Right keys [1]: [i_item_sk#27] Join type: Inner Join condition: None -(41) Project [codegen id : 10] -Output [3]: [ws_ext_sales_price#27, ws_sold_date_sk#28, i_item_id#30] -Input [5]: [ws_item_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28, i_item_sk#29, i_item_id#30] +(39) Project [codegen id : 9] +Output [3]: [ws_ext_sales_price#25, ws_sold_date_sk#26, i_item_id#28] +Input [5]: [ws_item_sk#24, ws_ext_sales_price#25, ws_sold_date_sk#26, i_item_sk#27, i_item_id#28] -(42) ReusedExchange [Reuses operator id: 77] -Output [1]: [d_date_sk#31] +(40) ReusedExchange [Reuses operator id: 75] +Output [1]: [d_date_sk#29] -(43) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#28] -Right keys [1]: [d_date_sk#31] +(41) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#26] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(44) Project [codegen id : 10] -Output [2]: [ws_ext_sales_price#27, i_item_id#30] -Input [4]: [ws_ext_sales_price#27, ws_sold_date_sk#28, i_item_id#30, d_date_sk#31] - -(45) HashAggregate [codegen id : 10] -Input [2]: [ws_ext_sales_price#27, i_item_id#30] -Keys [1]: [i_item_id#30] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#27))] -Aggregate Attributes [1]: [sum#32] -Results [2]: [i_item_id#30, sum#33] - -(46) CometColumnarExchange -Input [2]: [i_item_id#30, sum#33] -Arguments: hashpartitioning(i_item_id#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(47) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#30, sum#33] - -(48) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#30, sum#33] -Keys [1]: [i_item_id#30] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#27))#34] -Results [2]: [i_item_id#30 AS item_id#35, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#27))#34,17,2) AS ws_item_rev#36] - -(49) Filter [codegen id : 11] -Input [2]: [item_id#35, ws_item_rev#36] -Condition : isnotnull(ws_item_rev#36) - -(50) BroadcastExchange -Input [2]: [item_id#35, ws_item_rev#36] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(51) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#35] -Join type: Inner -Join condition: ((((((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * ws_item_rev#36)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * ws_item_rev#36))) AND (cast(cs_item_rev#25 as decimal(19,3)) >= (0.9 * ws_item_rev#36))) AND (cast(cs_item_rev#25 as decimal(20,3)) <= (1.1 * ws_item_rev#36))) AND (cast(ws_item_rev#36 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(ws_item_rev#36 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) AND (cast(ws_item_rev#36 as decimal(19,3)) >= (0.9 * cs_item_rev#25))) AND (cast(ws_item_rev#36 as decimal(20,3)) <= (1.1 * cs_item_rev#25))) +(42) Project [codegen id : 9] +Output [2]: [ws_ext_sales_price#25, i_item_id#28] +Input [4]: [ws_ext_sales_price#25, ws_sold_date_sk#26, i_item_id#28, d_date_sk#29] -(52) Project [codegen id : 12] -Output [8]: [item_id#12, ss_item_rev#13, (((ss_item_rev#13 / ((ss_item_rev#13 + cs_item_rev#25) + ws_item_rev#36)) / 3) * 100) AS ss_dev#37, cs_item_rev#25, (((cs_item_rev#25 / ((ss_item_rev#13 + cs_item_rev#25) + ws_item_rev#36)) / 3) * 100) AS cs_dev#38, ws_item_rev#36, (((ws_item_rev#36 / ((ss_item_rev#13 + cs_item_rev#25) + ws_item_rev#36)) / 3) * 100) AS ws_dev#39, (((ss_item_rev#13 + cs_item_rev#25) + ws_item_rev#36) / 3) AS average#40] -Input [5]: [item_id#12, ss_item_rev#13, cs_item_rev#25, item_id#35, ws_item_rev#36] +(43) HashAggregate [codegen id : 9] +Input [2]: [ws_ext_sales_price#25, i_item_id#28] +Keys [1]: [i_item_id#28] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#25))] +Aggregate Attributes [1]: [sum#30] +Results [2]: [i_item_id#28, sum#31] -(53) TakeOrderedAndProject -Input [8]: [item_id#12, ss_item_rev#13, ss_dev#37, cs_item_rev#25, cs_dev#38, ws_item_rev#36, ws_dev#39, average#40] -Arguments: 100, [item_id#12 ASC NULLS FIRST, ss_item_rev#13 ASC NULLS FIRST], [item_id#12, ss_item_rev#13, ss_dev#37, cs_item_rev#25, cs_dev#38, ws_item_rev#36, ws_dev#39, average#40] +(44) CometColumnarExchange +Input [2]: [i_item_id#28, sum#31] +Arguments: hashpartitioning(i_item_id#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(45) CometHashAggregate +Input [2]: [i_item_id#28, sum#31] +Keys [1]: [i_item_id#28] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#25))] -Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (63) -+- * CometColumnarToRow (62) - +- CometProject (61) - +- CometBroadcastHashJoin (60) - :- CometFilter (55) - : +- CometNativeScan parquet spark_catalog.default.date_dim (54) - +- CometBroadcastExchange (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +(46) CometFilter +Input [2]: [item_id#32, ws_item_rev#33] +Condition : isnotnull(ws_item_rev#33) +(47) CometBroadcastExchange +Input [2]: [item_id#32, ws_item_rev#33] +Arguments: [item_id#32, ws_item_rev#33] -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#41] +(48) CometBroadcastHashJoin +Left output [3]: [item_id#11, ss_item_rev#12, cs_item_rev#23] +Right output [2]: [item_id#32, ws_item_rev#33] +Arguments: [item_id#11], [item_id#32], Inner, ((((((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * ws_item_rev#33)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * ws_item_rev#33))) AND (cast(cs_item_rev#23 as decimal(19,3)) >= (0.9 * ws_item_rev#33))) AND (cast(cs_item_rev#23 as decimal(20,3)) <= (1.1 * ws_item_rev#33))) AND (cast(ws_item_rev#33 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(ws_item_rev#33 as decimal(20,3)) <= (1.1 * ss_item_rev#12))) AND (cast(ws_item_rev#33 as decimal(19,3)) >= (0.9 * cs_item_rev#23))) AND (cast(ws_item_rev#33 as decimal(20,3)) <= (1.1 * cs_item_rev#23))), BuildRight + +(49) CometProject +Input [5]: [item_id#11, ss_item_rev#12, cs_item_rev#23, item_id#32, ws_item_rev#33] +Arguments: [item_id#11, ss_item_rev#12, ss_dev#34, cs_item_rev#23, cs_dev#35, ws_item_rev#33, ws_dev#36, average#37], [item_id#11, ss_item_rev#12, (((ss_item_rev#12 / ((ss_item_rev#12 + cs_item_rev#23) + ws_item_rev#33)) / 3) * 100) AS ss_dev#34, cs_item_rev#23, (((cs_item_rev#23 / ((ss_item_rev#12 + cs_item_rev#23) + ws_item_rev#33)) / 3) * 100) AS cs_dev#35, ws_item_rev#33, (((ws_item_rev#33 / ((ss_item_rev#12 + cs_item_rev#23) + ws_item_rev#33)) / 3) * 100) AS ws_dev#36, (((ss_item_rev#12 + cs_item_rev#23) + ws_item_rev#33) / 3) AS average#37] + +(50) CometTakeOrderedAndProject +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#34, cs_item_rev#23, cs_dev#35, ws_item_rev#33, ws_dev#36, average#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#11 ASC NULLS FIRST,ss_item_rev#12 ASC NULLS FIRST], output=[item_id#11,ss_item_rev#12,ss_dev#34,cs_item_rev#23,cs_dev#35,ws_item_rev#33,ws_dev#36,average#37]), [item_id#11, ss_item_rev#12, ss_dev#34, cs_item_rev#23, cs_dev#35, ws_item_rev#33, ws_dev#36, average#37], 100, 0, [item_id#11 ASC NULLS FIRST, ss_item_rev#12 ASC NULLS FIRST], [item_id#11, ss_item_rev#12, ss_dev#34, cs_item_rev#23, cs_dev#35, ws_item_rev#33, ws_dev#36, average#37] + +(51) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#34, cs_item_rev#23, cs_dev#35, ws_item_rev#33, ws_dev#36, average#37] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (61) ++- * CometColumnarToRow (60) + +- CometProject (59) + +- CometBroadcastHashJoin (58) + :- CometFilter (53) + : +- CometNativeScan parquet spark_catalog.default.date_dim (52) + +- CometBroadcastExchange (57) + +- CometProject (56) + +- CometFilter (55) + +- CometNativeScan parquet spark_catalog.default.date_dim (54) + + +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date_sk#8, d_date#41] +(53) CometFilter +Input [2]: [d_date_sk#8, d_date#38] Condition : isnotnull(d_date_sk#8) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(54) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : (isnotnull(d_week_seq#42) AND (d_week_seq#42 = Subquery scalar-subquery#43, [id=#44])) +(55) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : (isnotnull(d_week_seq#39) AND (d_week_seq#39 = Subquery scalar-subquery#40, [id=#41])) -(58) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41#45], [d_date#41 AS d_date#41#45] +(56) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38#42], [d_date#38 AS d_date#38#42] -(59) CometBroadcastExchange -Input [1]: [d_date#41#45] -Arguments: [d_date#41#45] +(57) CometBroadcastExchange +Input [1]: [d_date#38#42] +Arguments: [d_date#38#42] -(60) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#41] -Right output [1]: [d_date#41#45] -Arguments: [d_date#41], [d_date#41#45], LeftSemi, BuildRight +(58) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#38] +Right output [1]: [d_date#38#42] +Arguments: [d_date#38], [d_date#38#42], LeftSemi, BuildRight -(61) CometProject -Input [2]: [d_date_sk#8, d_date#41] +(59) CometProject +Input [2]: [d_date_sk#8, d_date#38] Arguments: [d_date_sk#8], [d_date_sk#8] -(62) CometColumnarToRow [codegen id : 1] +(60) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(63) BroadcastExchange +(61) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 57 Hosting Expression = Subquery scalar-subquery#43, [id=#44] -* CometColumnarToRow (67) -+- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.date_dim (64) +Subquery:2 Hosting operator id = 55 Hosting Expression = Subquery scalar-subquery#40, [id=#41] +* CometColumnarToRow (65) ++- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.date_dim (62) -(64) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(62) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), EqualTo(d_date,2000-01-03)] ReadSchema: struct -(65) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : (isnotnull(d_date#41) AND (d_date#41 = 2000-01-03)) +(63) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : (isnotnull(d_date#38) AND (d_date#38 = 2000-01-03)) -(66) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_week_seq#42], [d_week_seq#42] +(64) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_week_seq#39], [d_week_seq#39] -(67) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#42] +(65) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#39] -Subquery:3 Hosting operator id = 19 Hosting Expression = cs_sold_date_sk#16 IN dynamicpruning#17 -BroadcastExchange (77) -+- * CometColumnarToRow (76) - +- CometProject (75) - +- CometBroadcastHashJoin (74) - :- CometFilter (69) - : +- CometNativeScan parquet spark_catalog.default.date_dim (68) - +- CometBroadcastExchange (73) - +- CometProject (72) - +- CometFilter (71) - +- CometNativeScan parquet spark_catalog.default.date_dim (70) +Subquery:3 Hosting operator id = 18 Hosting Expression = cs_sold_date_sk#15 IN dynamicpruning#16 +BroadcastExchange (75) ++- * CometColumnarToRow (74) + +- CometProject (73) + +- CometBroadcastHashJoin (72) + :- CometFilter (67) + : +- CometNativeScan parquet spark_catalog.default.date_dim (66) + +- CometBroadcastExchange (71) + +- CometProject (70) + +- CometFilter (69) + +- CometNativeScan parquet spark_catalog.default.date_dim (68) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#20, d_date#46] +(66) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#19, d_date#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [2]: [d_date_sk#20, d_date#46] -Condition : isnotnull(d_date_sk#20) +(67) CometFilter +Input [2]: [d_date_sk#19, d_date#43] +Condition : isnotnull(d_date_sk#19) -(70) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(68) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq)] ReadSchema: struct -(71) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : (isnotnull(d_week_seq#42) AND (d_week_seq#42 = ReusedSubquery Subquery scalar-subquery#43, [id=#44])) +(69) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : (isnotnull(d_week_seq#39) AND (d_week_seq#39 = ReusedSubquery Subquery scalar-subquery#40, [id=#41])) -(72) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(70) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(73) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(71) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(74) CometBroadcastHashJoin -Left output [2]: [d_date_sk#20, d_date#46] -Right output [1]: [d_date#41] -Arguments: [d_date#46], [d_date#41], LeftSemi, BuildRight +(72) CometBroadcastHashJoin +Left output [2]: [d_date_sk#19, d_date#43] +Right output [1]: [d_date#38] +Arguments: [d_date#43], [d_date#38], LeftSemi, BuildRight -(75) CometProject -Input [2]: [d_date_sk#20, d_date#46] -Arguments: [d_date_sk#20], [d_date_sk#20] +(73) CometProject +Input [2]: [d_date_sk#19, d_date#43] +Arguments: [d_date_sk#19], [d_date_sk#19] -(76) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#20] +(74) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#19] -(77) BroadcastExchange -Input [1]: [d_date_sk#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(75) BroadcastExchange +Input [1]: [d_date_sk#19] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:4 Hosting operator id = 71 Hosting Expression = ReusedSubquery Subquery scalar-subquery#43, [id=#44] +Subquery:4 Hosting operator id = 69 Hosting Expression = ReusedSubquery Subquery scalar-subquery#40, [id=#41] -Subquery:5 Hosting operator id = 36 Hosting Expression = ws_sold_date_sk#28 IN dynamicpruning#17 +Subquery:5 Hosting operator id = 34 Hosting Expression = ws_sold_date_sk#26 IN dynamicpruning#16 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/extended.txt index ed82c835cc..edd531c3e5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/extended.txt @@ -1,101 +1,99 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : : +- Subquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : : +- ReusedSubquery - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : : +- ReusedSubquery - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : : +- ReusedSubquery + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : : +- ReusedSubquery + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -123,4 +121,4 @@ TakeOrderedAndProject : +- ReusedSubquery +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 58 out of 108 eligible operators (53%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 71 out of 108 eligible operators (65%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/simplified.txt index ab910f96e0..2ca7e508ce 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q58.native_datafusion/simplified.txt @@ -1,13 +1,13 @@ -TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] - WholeStageCodegen (12) - Project [item_id,ss_item_rev,cs_item_rev,ws_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,ws_item_rev,cs_item_rev] - Project [item_id,ss_item_rev,cs_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,cs_item_rev] - Filter [ss_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),item_id,ss_item_rev,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometBroadcastHashJoin [item_id,ss_item_rev,cs_item_rev,item_id,ws_item_rev] + CometProject [item_id,ss_item_rev,cs_item_rev] + CometBroadcastHashJoin [item_id,ss_item_rev,item_id,cs_item_rev] + CometFilter [item_id,ss_item_rev] + CometHashAggregate [sum] [item_id,ss_item_rev,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] @@ -49,62 +49,54 @@ TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Filter [cs_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),item_id,cs_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (6) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #3 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometBroadcastHashJoin [d_date_sk,d_date,d_date] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date] #8 - CometProject [d_date] - CometFilter [d_date,d_week_seq] - ReusedSubquery [d_week_seq] #2 - CometNativeScan parquet spark_catalog.default.date_dim [d_date,d_week_seq] - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #4 - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (11) - Filter [ws_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),item_id,ws_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #10 - WholeStageCodegen (10) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] + CometBroadcastExchange [item_id,cs_item_rev] #5 + CometFilter [item_id,cs_item_rev] + CometHashAggregate [sum] [item_id,cs_item_rev,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #6 + WholeStageCodegen (6) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #3 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometBroadcastHashJoin [d_date_sk,d_date,d_date] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date] #8 + CometProject [d_date] + CometFilter [d_date,d_week_seq] + ReusedSubquery [d_week_seq] #2 + CometNativeScan parquet spark_catalog.default.date_dim [d_date,d_week_seq] InputAdapter ReusedExchange [i_item_sk,i_item_id] #4 InputAdapter ReusedExchange [d_date_sk] #7 + CometBroadcastExchange [item_id,ws_item_rev] #9 + CometFilter [item_id,ws_item_rev] + CometHashAggregate [sum] [item_id,ws_item_rev,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #10 + WholeStageCodegen (9) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #4 + InputAdapter + ReusedExchange [d_date_sk] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/explain.txt index fb396f2dc2..d4c8fc8ab6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#19] Input [2]: [ca_state#3, count#19] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#19] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#19] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#20] -Results [2]: [ca_state#3 AS state#21, count(1)#20 AS cnt#22] -(39) Filter [codegen id : 5] -Input [2]: [state#21, cnt#22] -Condition : (cnt#22 >= 10) +(38) CometFilter +Input [2]: [state#20, cnt#21] +Condition : (cnt#21 >= 10) + +(39) CometTakeOrderedAndProject +Input [2]: [state#20, cnt#21] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#21 ASC NULLS FIRST], output=[state#20,cnt#21]), [state#20, cnt#21], 100, 0, [cnt#21 ASC NULLS FIRST], [state#20, cnt#21] -(40) TakeOrderedAndProject -Input [2]: [state#21, cnt#22] -Arguments: 100, [cnt#22 ASC NULLS FIRST], [state#21, cnt#22] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#20, cnt#21] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#23] +Output [2]: [d_date_sk#10, d_month_seq#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#23] -Condition : ((isnotnull(d_month_seq#23) AND (d_month_seq#23 = Subquery scalar-subquery#24, [id=#25])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#22] +Condition : ((isnotnull(d_month_seq#22) AND (d_month_seq#22 = Subquery scalar-subquery#23, [id=#24])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#23] +Input [2]: [d_date_sk#10, d_month_seq#22] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,7 +257,7 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#24, [id=#25] +Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#23, [id=#24] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -270,35 +268,35 @@ Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#23, d_year#26, d_moy#27] +Output [3]: [d_month_seq#22, d_year#25, d_moy#26] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#23, d_year#26, d_moy#27] -Condition : (((isnotnull(d_year#26) AND isnotnull(d_moy#27)) AND (d_year#26 = 2000)) AND (d_moy#27 = 1)) +Input [3]: [d_month_seq#22, d_year#25, d_moy#26] +Condition : (((isnotnull(d_year#25) AND isnotnull(d_moy#26)) AND (d_year#25 = 2000)) AND (d_moy#26 = 1)) (48) CometProject -Input [3]: [d_month_seq#23, d_year#26, d_moy#27] -Arguments: [d_month_seq#23], [d_month_seq#23] +Input [3]: [d_month_seq#22, d_year#25, d_moy#26] +Arguments: [d_month_seq#22], [d_month_seq#22] (49) CometHashAggregate -Input [1]: [d_month_seq#23] -Keys [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] +Keys [1]: [d_month_seq#22] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#23] -Arguments: hashpartitioning(d_month_seq#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#22] +Arguments: hashpartitioning(d_month_seq#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#23] -Keys [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] +Keys [1]: [d_month_seq#22] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/extended.txt index fe3b28849a..6e247abdbb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -65,4 +65,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 58 eligible operators (67%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 58 eligible operators (72%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/simplified.txt index cec4eecbc6..823ecf3f7c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [state,cnt] + CometFilter [state,cnt] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/explain.txt index 5584119109..943c46ae8e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -194,227 +191,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [i_item_id#18 ASC NULLS FIRST, total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#37 ASC NULLS FIRST,total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [i_item_id#37 ASC NULLS FIRST, total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,9), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 9)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 1998)) AND (d_moy#45 = 9)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/simplified.txt index 4c05038b34..1dc7b5feca 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q60.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [i_item_id,total_sales] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/explain.txt index e50623a19c..6f6e7edcd0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == * Project (69) +- * BroadcastNestedLoopJoin Inner BuildRight (68) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) + :- * CometColumnarToRow (44) + : +- CometHashAggregate (43) : +- CometColumnarExchange (42) : +- * HashAggregate (41) : +- * Project (40) @@ -46,8 +46,8 @@ : +- CometFilter (35) : +- CometNativeScan parquet spark_catalog.default.item (34) +- BroadcastExchange (67) - +- * HashAggregate (66) - +- * CometColumnarToRow (65) + +- * CometColumnarToRow (66) + +- CometHashAggregate (65) +- CometColumnarExchange (64) +- * HashAggregate (63) +- * Project (62) @@ -265,119 +265,115 @@ Results [1]: [sum#22] Input [1]: [sum#22] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 15] -Input [1]: [sum#22] - -(44) HashAggregate [codegen id : 15] +(43) CometHashAggregate Input [1]: [sum#22] Keys: [] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#23] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#23,17,2) AS promotions#24] + +(44) CometColumnarToRow [codegen id : 15] +Input [1]: [promotions#23] (45) Scan parquet spark_catalog.default.store_sales -Output [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Output [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#29), dynamicpruningexpression(ss_sold_date_sk#29 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)] ReadSchema: struct (46) ColumnarToRow [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] (47) Filter [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] -Condition : ((isnotnull(ss_store_sk#27) AND isnotnull(ss_customer_sk#26)) AND isnotnull(ss_item_sk#25)) +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +Condition : ((isnotnull(ss_store_sk#26) AND isnotnull(ss_customer_sk#25)) AND isnotnull(ss_item_sk#24)) (48) ReusedExchange [Reuses operator id: 8] -Output [1]: [s_store_sk#30] +Output [1]: [s_store_sk#29] (49) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_store_sk#27] -Right keys [1]: [s_store_sk#30] +Left keys [1]: [ss_store_sk#26] +Right keys [1]: [s_store_sk#29] Join type: Inner Join condition: None (50) Project [codegen id : 13] -Output [4]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29] -Input [6]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29, s_store_sk#30] +Output [4]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28] +Input [6]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, s_store_sk#29] (51) ReusedExchange [Reuses operator id: 74] -Output [1]: [d_date_sk#31] +Output [1]: [d_date_sk#30] (52) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#29] -Right keys [1]: [d_date_sk#31] +Left keys [1]: [ss_sold_date_sk#28] +Right keys [1]: [d_date_sk#30] Join type: Inner Join condition: None (53) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29, d_date_sk#31] +Output [3]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30] (54) ReusedExchange [Reuses operator id: 24] -Output [2]: [c_customer_sk#32, c_current_addr_sk#33] +Output [2]: [c_customer_sk#31, c_current_addr_sk#32] (55) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_customer_sk#26] -Right keys [1]: [c_customer_sk#32] +Left keys [1]: [ss_customer_sk#25] +Right keys [1]: [c_customer_sk#31] Join type: Inner Join condition: None (56) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, c_customer_sk#32, c_current_addr_sk#33] +Output [3]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, c_customer_sk#31, c_current_addr_sk#32] (57) ReusedExchange [Reuses operator id: 31] -Output [1]: [ca_address_sk#34] +Output [1]: [ca_address_sk#33] (58) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#34] +Left keys [1]: [c_current_addr_sk#32] +Right keys [1]: [ca_address_sk#33] Join type: Inner Join condition: None (59) Project [codegen id : 13] -Output [2]: [ss_item_sk#25, ss_ext_sales_price#28] -Input [4]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33, ca_address_sk#34] +Output [2]: [ss_item_sk#24, ss_ext_sales_price#27] +Input [4]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32, ca_address_sk#33] (60) ReusedExchange [Reuses operator id: 38] -Output [1]: [i_item_sk#35] +Output [1]: [i_item_sk#34] (61) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_item_sk#25] -Right keys [1]: [i_item_sk#35] +Left keys [1]: [ss_item_sk#24] +Right keys [1]: [i_item_sk#34] Join type: Inner Join condition: None (62) Project [codegen id : 13] -Output [1]: [ss_ext_sales_price#28] -Input [3]: [ss_item_sk#25, ss_ext_sales_price#28, i_item_sk#35] +Output [1]: [ss_ext_sales_price#27] +Input [3]: [ss_item_sk#24, ss_ext_sales_price#27, i_item_sk#34] (63) HashAggregate [codegen id : 13] -Input [1]: [ss_ext_sales_price#28] +Input [1]: [ss_ext_sales_price#27] Keys: [] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum#36] -Results [1]: [sum#37] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#35] +Results [1]: [sum#36] (64) CometColumnarExchange -Input [1]: [sum#37] +Input [1]: [sum#36] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(65) CometColumnarToRow [codegen id : 14] -Input [1]: [sum#37] - -(66) HashAggregate [codegen id : 14] -Input [1]: [sum#37] +(65) CometHashAggregate +Input [1]: [sum#36] Keys: [] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#28))#38] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#28))#38,17,2) AS total#39] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] + +(66) CometColumnarToRow [codegen id : 14] +Input [1]: [total#37] (67) BroadcastExchange -Input [1]: [total#39] +Input [1]: [total#37] Arguments: IdentityBroadcastMode, [plan_id=8] (68) BroadcastNestedLoopJoin [codegen id : 15] @@ -385,8 +381,8 @@ Join type: Inner Join condition: None (69) Project [codegen id : 15] -Output [3]: [promotions#24, total#39, ((cast(promotions#24 as decimal(15,4)) / cast(total#39 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#40] -Input [2]: [promotions#24, total#39] +Output [3]: [promotions#23, total#37, ((cast(promotions#23 as decimal(15,4)) / cast(total#37 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#38] +Input [2]: [promotions#23, total#37] ===== Subqueries ===== @@ -399,18 +395,18 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#14, d_year#41, d_moy#42] +Output [3]: [d_date_sk#14, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 11)) AND isnotnull(d_date_sk#14)) +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 1998)) AND (d_moy#40 = 11)) AND isnotnull(d_date_sk#14)) (72) CometProject -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] Arguments: [d_date_sk#14], [d_date_sk#14] (73) CometColumnarToRow [codegen id : 1] @@ -420,6 +416,6 @@ Input [1]: [d_date_sk#14] Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#29 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/extended.txt index 0443f5fc55..aed26a99bf 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/extended.txt @@ -1,7 +1,7 @@ Project -+- BroadcastNestedLoopJoin - :- HashAggregate - : +- CometColumnarToRow ++- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + :- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -55,8 +55,8 @@ Project : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.item +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -98,4 +98,4 @@ Project +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 83 eligible operators (43%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 38 out of 83 eligible operators (45%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/simplified.txt index f5bacac9c6..40f77cab07 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q61.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ WholeStageCodegen (15) Project [promotions,total] BroadcastNestedLoopJoin - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),promotions,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [promotions,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #1 WholeStageCodegen (7) HashAggregate [ss_ext_sales_price] [sum,sum] @@ -75,9 +75,9 @@ WholeStageCodegen (15) InputAdapter BroadcastExchange #8 WholeStageCodegen (14) - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),total,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [total,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #9 WholeStageCodegen (13) HashAggregate [ss_ext_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/explain.txt index 32f70c3d33..03e2e790a1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manager_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manager_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_moy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manager_id#5, d_moy#16, sum#19] Input [3]: [i_manager_id#5, d_moy#16, sum#19] Arguments: hashpartitioning(i_manager_id#5, d_moy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manager_id#5, d_moy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manager_id#5, d_moy#16, sum#19] Keys [2]: [i_manager_id#5, d_moy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manager_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [i_manager_id#5, sum_sales#21, _w0#22], [i_manager_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [i_manager_id#5, sum_sales#20, _w0#21], [i_manager_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_manager_id#5] +(26) Window +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_manager_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST], [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST], [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Arguments: [d_date_sk#15, d_moy#16], [d_date_sk#15, d_moy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_moy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_moy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/simplified.txt index 2933149226..3dd0af75de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q63.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [i_manager_id,avg_monthly_sales,sum_sales] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manager_id,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_manager_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manager_id,sum_sales,_w0] - CometColumnarExchange [i_manager_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manager_id,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manager_id,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] - Project [i_manager_id,ss_sales_price,d_moy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manager_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_month_seq,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + CometExchange [i_manager_id] #1 + CometHashAggregate [d_moy,sum] [i_manager_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manager_id,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] + Project [i_manager_id,ss_sales_price,d_moy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manager_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_month_seq,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/explain.txt index 7cbfb795e8..799afaefaa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/explain.txt @@ -1,47 +1,43 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * CometColumnarToRow (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.store (1) - : : +- BroadcastExchange (15) - : : +- * Filter (14) - : : +- * HashAggregate (13) - : : +- * CometColumnarToRow (12) - : : +- CometColumnarExchange (11) - : : +- * HashAggregate (10) - : : +- * Project (9) - : : +- * BroadcastHashJoin Inner BuildRight (8) - : : :- * Filter (6) - : : : +- * ColumnarToRow (5) - : : : +- Scan parquet spark_catalog.default.store_sales (4) - : : +- ReusedExchange (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometProject (20) - : +- CometFilter (19) - : +- CometNativeScan parquet spark_catalog.default.item (18) - +- BroadcastExchange (40) - +- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- CometColumnarExchange (32) - +- * HashAggregate (31) - +- * Project (30) - +- * BroadcastHashJoin Inner BuildRight (29) - :- * Filter (27) - : +- * ColumnarToRow (26) - : +- Scan parquet spark_catalog.default.store_sales (25) - +- ReusedExchange (28) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometProject (37) + +- CometBroadcastHashJoin (36) + :- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometProject (15) + : : +- CometBroadcastHashJoin (14) + : : :- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.store (1) + : : +- CometBroadcastExchange (13) + : : +- CometFilter (12) + : : +- CometHashAggregate (11) + : : +- CometColumnarExchange (10) + : : +- * HashAggregate (9) + : : +- * Project (8) + : : +- * BroadcastHashJoin Inner BuildRight (7) + : : :- * Filter (5) + : : : +- * ColumnarToRow (4) + : : : +- Scan parquet spark_catalog.default.store_sales (3) + : : +- ReusedExchange (6) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + +- CometBroadcastExchange (35) + +- CometFilter (34) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- CometColumnarExchange (29) + +- * HashAggregate (28) + +- * Project (27) + +- * BroadcastHashJoin Inner BuildRight (26) + :- * Filter (24) + : +- * ColumnarToRow (23) + : +- Scan parquet spark_catalog.default.store_sales (22) + +- ReusedExchange (25) (1) CometNativeScan parquet spark_catalog.default.store @@ -55,10 +51,7 @@ ReadSchema: struct Input [2]: [s_store_sk#1, s_store_name#2] Condition : isnotnull(s_store_sk#1) -(3) CometColumnarToRow [codegen id : 9] -Input [2]: [s_store_sk#1, s_store_name#2] - -(4) Scan parquet spark_catalog.default.store_sales +(3) Scan parquet spark_catalog.default.store_sales Output [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Batched: true Location: InMemoryFileIndex [] @@ -66,221 +59,201 @@ PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sol PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(5) ColumnarToRow [codegen id : 2] +(4) ColumnarToRow [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] -(6) Filter [codegen id : 2] +(5) Filter [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Condition : (isnotnull(ss_store_sk#4) AND isnotnull(ss_item_sk#3)) -(7) ReusedExchange [Reuses operator id: 48] +(6) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#8] -(8) BroadcastHashJoin [codegen id : 2] +(7) BroadcastHashJoin [codegen id : 2] Left keys [1]: [ss_sold_date_sk#6] Right keys [1]: [d_date_sk#8] Join type: Inner Join condition: None -(9) Project [codegen id : 2] +(8) Project [codegen id : 2] Output [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Input [5]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6, d_date_sk#8] -(10) HashAggregate [codegen id : 2] +(9) HashAggregate [codegen id : 2] Input [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#5))] Aggregate Attributes [1]: [sum#9] Results [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] -(11) CometColumnarExchange +(10) CometColumnarExchange Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Arguments: hashpartitioning(ss_store_sk#4, ss_item_sk#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(12) CometColumnarToRow [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] - -(13) HashAggregate [codegen id : 3] +(11) CometHashAggregate Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [sum(UnscaledValue(ss_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#5))#11] -Results [3]: [ss_store_sk#4, ss_item_sk#3, MakeDecimal(sum(UnscaledValue(ss_sales_price#5))#11,17,2) AS revenue#12] -(14) Filter [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Condition : isnotnull(revenue#12) +(12) CometFilter +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Condition : isnotnull(revenue#11) -(15) BroadcastExchange -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2] +(13) CometBroadcastExchange +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [ss_store_sk#4, ss_item_sk#3, revenue#11] -(16) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [s_store_sk#1] -Right keys [1]: [ss_store_sk#4] -Join type: Inner -Join condition: None +(14) CometBroadcastHashJoin +Left output [2]: [s_store_sk#1, s_store_name#2] +Right output [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_sk#1], [ss_store_sk#4], Inner, BuildRight -(17) Project [codegen id : 9] -Output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] -Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] +(15) CometProject +Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11], [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] -(18) CometNativeScan parquet spark_catalog.default.item -Output [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] +(16) CometNativeScan parquet spark_catalog.default.item +Output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(19) CometFilter -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Condition : isnotnull(i_item_sk#13) +(17) CometFilter +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Condition : isnotnull(i_item_sk#12) -(20) CometProject -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Arguments: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18], [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#17, 50, true, false, true) AS i_brand#18] +(18) CometProject +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#16, 50, true, false, true) AS i_brand#17] -(21) CometColumnarToRow [codegen id : 4] -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(19) CometBroadcastExchange +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(22) BroadcastExchange -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] +(20) CometBroadcastHashJoin +Left output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Right output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [ss_item_sk#3], [i_item_sk#12], Inner, BuildRight -(23) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_item_sk#3] -Right keys [1]: [i_item_sk#13] -Join type: Inner -Join condition: None +(21) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11, i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(24) Project [codegen id : 9] -Output [7]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12, i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] - -(25) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#22), dynamicpruningexpression(ss_sold_date_sk#22 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#21), dynamicpruningexpression(ss_sold_date_sk#21 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] -(27) Filter [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] -Condition : isnotnull(ss_store_sk#20) +(24) Filter [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] +Condition : isnotnull(ss_store_sk#19) -(28) ReusedExchange [Reuses operator id: 48] -Output [1]: [d_date_sk#23] +(25) ReusedExchange [Reuses operator id: 44] +Output [1]: [d_date_sk#22] -(29) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#22] -Right keys [1]: [d_date_sk#23] +(26) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [ss_sold_date_sk#21] +Right keys [1]: [d_date_sk#22] Join type: Inner Join condition: None -(30) Project [codegen id : 6] -Output [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Input [5]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22, d_date_sk#23] - -(31) HashAggregate [codegen id : 6] -Input [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum#24] -Results [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(32) CometColumnarExchange -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Arguments: hashpartitioning(ss_store_sk#20, ss_item_sk#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(33) CometColumnarToRow [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(34) HashAggregate [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#21))#26] -Results [2]: [ss_store_sk#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#21))#26,17,2) AS revenue#27] - -(35) HashAggregate [codegen id : 7] -Input [2]: [ss_store_sk#20, revenue#27] -Keys [1]: [ss_store_sk#20] -Functions [1]: [partial_avg(revenue#27)] -Aggregate Attributes [2]: [sum#28, count#29] -Results [3]: [ss_store_sk#20, sum#30, count#31] - -(36) CometColumnarExchange -Input [3]: [ss_store_sk#20, sum#30, count#31] -Arguments: hashpartitioning(ss_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(37) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] - -(38) HashAggregate [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] -Keys [1]: [ss_store_sk#20] -Functions [1]: [avg(revenue#27)] -Aggregate Attributes [1]: [avg(revenue#27)#32] -Results [2]: [ss_store_sk#20, avg(revenue#27)#32 AS ave#33] - -(39) Filter [codegen id : 8] -Input [2]: [ss_store_sk#20, ave#33] -Condition : isnotnull(ave#33) - -(40) BroadcastExchange -Input [2]: [ss_store_sk#20, ave#33] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] - -(41) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_store_sk#4] -Right keys [1]: [ss_store_sk#20] -Join type: Inner -Join condition: (cast(revenue#12 as decimal(23,7)) <= (0.1 * ave#33)) +(27) Project [codegen id : 4] +Output [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Input [5]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21, d_date_sk#22] + +(28) HashAggregate [codegen id : 4] +Input [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#20))] +Aggregate Attributes [1]: [sum#23] +Results [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] + +(29) CometColumnarExchange +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Arguments: hashpartitioning(ss_store_sk#19, ss_item_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] + +(30) CometHashAggregate +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [sum(UnscaledValue(ss_sales_price#20))] + +(31) CometHashAggregate +Input [2]: [ss_store_sk#19, revenue#25] +Keys [1]: [ss_store_sk#19] +Functions [1]: [partial_avg(revenue#25)] + +(32) CometExchange +Input [3]: [ss_store_sk#19, sum#26, count#27] +Arguments: hashpartitioning(ss_store_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(33) CometHashAggregate +Input [3]: [ss_store_sk#19, sum#26, count#27] +Keys [1]: [ss_store_sk#19] +Functions [1]: [avg(revenue#25)] + +(34) CometFilter +Input [2]: [ss_store_sk#19, ave#28] +Condition : isnotnull(ave#28) + +(35) CometBroadcastExchange +Input [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#19, ave#28] + +(36) CometBroadcastHashJoin +Left output [7]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Right output [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#4], [ss_store_sk#19], Inner, (cast(revenue#11 as decimal(23,7)) <= (0.1 * ave#28)), BuildRight + +(37) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17, ss_store_sk#19, ave#28] +Arguments: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(42) Project [codegen id : 9] -Output [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18, ss_store_sk#20, ave#33] +(38) CometTakeOrderedAndProject +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#2 ASC NULLS FIRST,i_item_desc#13 ASC NULLS FIRST], output=[s_store_name#2,i_item_desc#13,revenue#11,i_current_price#14,i_wholesale_cost#15,i_brand#17]), [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], 100, 0, [s_store_name#2 ASC NULLS FIRST, i_item_desc#13 ASC NULLS FIRST], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(43) TakeOrderedAndProject -Input [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: 100, [s_store_name#2 ASC NULLS FIRST, i_item_desc#14 ASC NULLS FIRST], [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(39) CometColumnarToRow [codegen id : 5] +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] ===== Subqueries ===== -Subquery:1 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (48) -+- * CometColumnarToRow (47) - +- CometProject (46) - +- CometFilter (45) - +- CometNativeScan parquet spark_catalog.default.date_dim (44) +Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_month_seq#34] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_month_seq#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1176), LessThanOrEqual(d_month_seq,1187), IsNotNull(d_date_sk)] ReadSchema: struct -(45) CometFilter -Input [2]: [d_date_sk#8, d_month_seq#34] -Condition : (((isnotnull(d_month_seq#34) AND (d_month_seq#34 >= 1176)) AND (d_month_seq#34 <= 1187)) AND isnotnull(d_date_sk#8)) +(41) CometFilter +Input [2]: [d_date_sk#8, d_month_seq#29] +Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1176)) AND (d_month_seq#29 <= 1187)) AND isnotnull(d_date_sk#8)) -(46) CometProject -Input [2]: [d_date_sk#8, d_month_seq#34] +(42) CometProject +Input [2]: [d_date_sk#8, d_month_seq#29] Arguments: [d_date_sk#8], [d_date_sk#8] -(47) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(48) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 25 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#21 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/extended.txt index b1bae81b20..12c6a7eedd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/extended.txt @@ -1,60 +1,56 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 17 out of 48 eligible operators (35%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 48 eligible operators (68%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/simplified.txt index 2695c9fb89..3c68fd2a34 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q65.native_datafusion/simplified.txt @@ -1,71 +1,56 @@ -TakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - WholeStageCodegen (9) - Project [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_store_sk,ss_store_sk,revenue,ave] - Project [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [s_store_name,ss_store_sk,ss_item_sk,revenue] - BroadcastHashJoin [s_store_sk,ss_store_sk] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand,ss_store_sk,ave] + CometProject [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,ss_item_sk,revenue,i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,ss_store_sk,ss_item_sk,revenue] + CometBroadcastHashJoin [s_store_sk,s_store_name,ss_store_sk,ss_item_sk,revenue] CometFilter [s_store_sk,s_store_name] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name] - InputAdapter - BroadcastExchange #1 - WholeStageCodegen (3) - Filter [revenue] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #2 - WholeStageCodegen (2) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [ss_store_sk,ss_item_sk,revenue] #1 + CometFilter [ss_store_sk,ss_item_sk,revenue] + CometHashAggregate [sum] [ss_store_sk,ss_item_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #2 + WholeStageCodegen (2) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - Filter [ave] - HashAggregate [ss_store_sk,sum,count] [avg(revenue),ave,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk] #6 - WholeStageCodegen (7) - HashAggregate [ss_store_sk,revenue] [sum,count,sum,count] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #7 - WholeStageCodegen (6) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + CometBroadcastExchange [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] #4 + CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastExchange [ss_store_sk,ave] #5 + CometFilter [ss_store_sk,ave] + CometHashAggregate [sum,count] [ss_store_sk,ave,avg(revenue)] + CometExchange [ss_store_sk] #6 + CometHashAggregate [revenue] [ss_store_sk,sum,count] + CometHashAggregate [ss_item_sk,sum] [ss_store_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #7 + WholeStageCodegen (4) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/explain.txt index 56c5025634..aff5b9896d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/explain.txt @@ -1,60 +1,58 @@ == Physical Plan == -TakeOrderedAndProject (56) -+- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- Union (51) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) - +- * HashAggregate (50) - +- * CometColumnarToRow (49) - +- CometColumnarExchange (48) - +- * HashAggregate (47) - +- * Project (46) - +- * BroadcastHashJoin Inner BuildRight (45) - :- * Project (43) - : +- * BroadcastHashJoin Inner BuildRight (42) - : :- * Project (40) - : : +- * BroadcastHashJoin Inner BuildRight (39) - : : :- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * Filter (34) - : : : : +- * ColumnarToRow (33) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (35) - : : +- ReusedExchange (38) - : +- ReusedExchange (41) - +- ReusedExchange (44) +* CometColumnarToRow (54) ++- CometTakeOrderedAndProject (53) + +- CometHashAggregate (52) + +- CometExchange (51) + +- CometHashAggregate (50) + +- CometUnion (49) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) + +- CometHashAggregate (48) + +- CometColumnarExchange (47) + +- * HashAggregate (46) + +- * Project (45) + +- * BroadcastHashJoin Inner BuildRight (44) + :- * Project (42) + : +- * BroadcastHashJoin Inner BuildRight (41) + : :- * Project (39) + : : +- * BroadcastHashJoin Inner BuildRight (38) + : : :- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * Filter (33) + : : : : +- * ColumnarToRow (32) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (31) + : : : +- ReusedExchange (34) + : : +- ReusedExchange (37) + : +- ReusedExchange (40) + +- ReusedExchange (43) (1) Scan parquet spark_catalog.default.web_sales @@ -104,7 +102,7 @@ Join condition: None Output [12]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] Input [14]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] -(11) ReusedExchange [Reuses operator id: 60] +(11) ReusedExchange [Reuses operator id: 58] Output [3]: [d_date_sk#17, d_year#18, d_moy#19] (12) BroadcastHashJoin [codegen id : 5] @@ -192,158 +190,146 @@ Results [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13 Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Keys [7]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18] Functions [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143] -Results [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, DHL,BARIAN AS ship_carriers#144, d_year#18 AS year#145, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120 AS jan_sales#146, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121 AS feb_sales#147, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122 AS mar_sales#148, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123 AS apr_sales#149, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124 AS may_sales#150, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125 AS jun_sales#151, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126 AS jul_sales#152, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127 AS aug_sales#153, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128 AS sep_sales#154, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129 AS oct_sales#155, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130 AS nov_sales#156, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131 AS dec_sales#157, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132 AS jan_net#158, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133 AS feb_net#159, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134 AS mar_net#160, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135 AS apr_net#161, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136 AS may_net#162, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137 AS jun_net#163, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138 AS jul_net#164, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139 AS aug_net#165, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140 AS sep_net#166, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141 AS oct_net#167, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142 AS nov_net#168, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143 AS dec_net#169] -(32) Scan parquet spark_catalog.default.catalog_sales -Output [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(31) Scan parquet spark_catalog.default.catalog_sales +Output [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#176), dynamicpruningexpression(cs_sold_date_sk#176 IN dynamicpruning#8)] +PartitionFilters: [isnotnull(cs_sold_date_sk#126), dynamicpruningexpression(cs_sold_date_sk#126 IN dynamicpruning#8)] PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_sold_time_sk), IsNotNull(cs_ship_mode_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(32) ColumnarToRow [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] -(34) Filter [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] -Condition : ((isnotnull(cs_warehouse_sk#172) AND isnotnull(cs_sold_time_sk#170)) AND isnotnull(cs_ship_mode_sk#171)) +(33) Filter [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] +Condition : ((isnotnull(cs_warehouse_sk#122) AND isnotnull(cs_sold_time_sk#120)) AND isnotnull(cs_ship_mode_sk#121)) -(35) ReusedExchange [Reuses operator id: 8] -Output [7]: [w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(34) ReusedExchange [Reuses operator id: 8] +Output [7]: [w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_warehouse_sk#172] -Right keys [1]: [w_warehouse_sk#177] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_warehouse_sk#122] +Right keys [1]: [w_warehouse_sk#127] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [12]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(36) Project [codegen id : 10] +Output [12]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(38) ReusedExchange [Reuses operator id: 60] -Output [3]: [d_date_sk#184, d_year#185, d_moy#186] +(37) ReusedExchange [Reuses operator id: 58] +Output [3]: [d_date_sk#134, d_year#135, d_moy#136] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_date_sk#176] -Right keys [1]: [d_date_sk#184] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_date_sk#126] +Right keys [1]: [d_date_sk#134] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [13]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [15]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_date_sk#184, d_year#185, d_moy#186] +(39) Project [codegen id : 10] +Output [13]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [15]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_date_sk#134, d_year#135, d_moy#136] -(41) ReusedExchange [Reuses operator id: 18] -Output [1]: [t_time_sk#187] +(40) ReusedExchange [Reuses operator id: 18] +Output [1]: [t_time_sk#137] -(42) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_time_sk#170] -Right keys [1]: [t_time_sk#187] +(41) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_time_sk#120] +Right keys [1]: [t_time_sk#137] Join type: Inner Join condition: None -(43) Project [codegen id : 11] -Output [12]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, t_time_sk#187] +(42) Project [codegen id : 10] +Output [12]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, t_time_sk#137] -(44) ReusedExchange [Reuses operator id: 25] -Output [1]: [sm_ship_mode_sk#188] +(43) ReusedExchange [Reuses operator id: 25] +Output [1]: [sm_ship_mode_sk#138] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_ship_mode_sk#171] -Right keys [1]: [sm_ship_mode_sk#188] +(44) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_ship_mode_sk#121] +Right keys [1]: [sm_ship_mode_sk#138] Join type: Inner Join condition: None -(46) Project [codegen id : 11] -Output [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [13]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, sm_ship_mode_sk#188] - -(47) HashAggregate [codegen id : 11] -Input [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [48]: [sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234, sum#235, isEmpty#236] -Results [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(48) CometColumnarExchange -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Arguments: hashpartitioning(w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(49) CometColumnarToRow [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(50) HashAggregate [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308] -Results [32]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, DHL,BARIAN AS ship_carriers#309, d_year#185 AS year#310, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285 AS jan_sales#311, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286 AS feb_sales#312, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287 AS mar_sales#313, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288 AS apr_sales#314, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289 AS may_sales#315, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290 AS jun_sales#316, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291 AS jul_sales#317, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292 AS aug_sales#318, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293 AS sep_sales#319, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294 AS oct_sales#320, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295 AS nov_sales#321, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296 AS dec_sales#322, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297 AS jan_net#323, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298 AS feb_net#324, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299 AS mar_net#325, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300 AS apr_net#326, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301 AS may_net#327, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302 AS jun_net#328, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303 AS jul_net#329, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304 AS aug_net#330, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305 AS sep_net#331, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306 AS oct_net#332, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307 AS nov_net#333, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308 AS dec_net#334] - -(51) Union - -(52) HashAggregate [codegen id : 13] -Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#146, feb_sales#147, mar_sales#148, apr_sales#149, may_sales#150, jun_sales#151, jul_sales#152, aug_sales#153, sep_sales#154, oct_sales#155, nov_sales#156, dec_sales#157, jan_net#158, feb_net#159, mar_net#160, apr_net#161, may_net#162, jun_net#163, jul_net#164, aug_net#165, sep_net#166, oct_net#167, nov_net#168, dec_net#169] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [partial_sum(jan_sales#146), partial_sum(feb_sales#147), partial_sum(mar_sales#148), partial_sum(apr_sales#149), partial_sum(may_sales#150), partial_sum(jun_sales#151), partial_sum(jul_sales#152), partial_sum(aug_sales#153), partial_sum(sep_sales#154), partial_sum(oct_sales#155), partial_sum(nov_sales#156), partial_sum(dec_sales#157), partial_sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#158), partial_sum(feb_net#159), partial_sum(mar_net#160), partial_sum(apr_net#161), partial_sum(may_net#162), partial_sum(jun_net#163), partial_sum(jul_net#164), partial_sum(aug_net#165), partial_sum(sep_net#166), partial_sum(oct_net#167), partial_sum(nov_net#168), partial_sum(dec_net#169)] -Aggregate Attributes [72]: [sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358, sum#359, isEmpty#360, sum#361, isEmpty#362, sum#363, isEmpty#364, sum#365, isEmpty#366, sum#367, isEmpty#368, sum#369, isEmpty#370, sum#371, isEmpty#372, sum#373, isEmpty#374, sum#375, isEmpty#376, sum#377, isEmpty#378, sum#379, isEmpty#380, sum#381, isEmpty#382, sum#383, isEmpty#384, sum#385, isEmpty#386, sum#387, isEmpty#388, sum#389, isEmpty#390, sum#391, isEmpty#392, sum#393, isEmpty#394, sum#395, isEmpty#396, sum#397, isEmpty#398, sum#399, isEmpty#400, sum#401, isEmpty#402, sum#403, isEmpty#404, sum#405, isEmpty#406] -Results [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(53) CometColumnarExchange -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(54) CometColumnarToRow [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(55) HashAggregate [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [sum(jan_sales#146), sum(feb_sales#147), sum(mar_sales#148), sum(apr_sales#149), sum(may_sales#150), sum(jun_sales#151), sum(jul_sales#152), sum(aug_sales#153), sum(sep_sales#154), sum(oct_sales#155), sum(nov_sales#156), sum(dec_sales#157), sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#158), sum(feb_net#159), sum(mar_net#160), sum(apr_net#161), sum(may_net#162), sum(jun_net#163), sum(jul_net#164), sum(aug_net#165), sum(sep_net#166), sum(oct_net#167), sum(nov_net#168), sum(dec_net#169)] -Aggregate Attributes [36]: [sum(jan_sales#146)#479, sum(feb_sales#147)#480, sum(mar_sales#148)#481, sum(apr_sales#149)#482, sum(may_sales#150)#483, sum(jun_sales#151)#484, sum(jul_sales#152)#485, sum(aug_sales#153)#486, sum(sep_sales#154)#487, sum(oct_sales#155)#488, sum(nov_sales#156)#489, sum(dec_sales#157)#490, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502, sum(jan_net#158)#503, sum(feb_net#159)#504, sum(mar_net#160)#505, sum(apr_net#161)#506, sum(may_net#162)#507, sum(jun_net#163)#508, sum(jul_net#164)#509, sum(aug_net#165)#510, sum(sep_net#166)#511, sum(oct_net#167)#512, sum(nov_net#168)#513, sum(dec_net#169)#514] -Results [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum(jan_sales#146)#479 AS jan_sales#515, sum(feb_sales#147)#480 AS feb_sales#516, sum(mar_sales#148)#481 AS mar_sales#517, sum(apr_sales#149)#482 AS apr_sales#518, sum(may_sales#150)#483 AS may_sales#519, sum(jun_sales#151)#484 AS jun_sales#520, sum(jul_sales#152)#485 AS jul_sales#521, sum(aug_sales#153)#486 AS aug_sales#522, sum(sep_sales#154)#487 AS sep_sales#523, sum(oct_sales#155)#488 AS oct_sales#524, sum(nov_sales#156)#489 AS nov_sales#525, sum(dec_sales#157)#490 AS dec_sales#526, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491 AS jan_sales_per_sq_foot#527, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492 AS feb_sales_per_sq_foot#528, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493 AS mar_sales_per_sq_foot#529, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494 AS apr_sales_per_sq_foot#530, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495 AS may_sales_per_sq_foot#531, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496 AS jun_sales_per_sq_foot#532, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497 AS jul_sales_per_sq_foot#533, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498 AS aug_sales_per_sq_foot#534, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499 AS sep_sales_per_sq_foot#535, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500 AS oct_sales_per_sq_foot#536, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501 AS nov_sales_per_sq_foot#537, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502 AS dec_sales_per_sq_foot#538, sum(jan_net#158)#503 AS jan_net#539, sum(feb_net#159)#504 AS feb_net#540, sum(mar_net#160)#505 AS mar_net#541, sum(apr_net#161)#506 AS apr_net#542, sum(may_net#162)#507 AS may_net#543, sum(jun_net#163)#508 AS jun_net#544, sum(jul_net#164)#509 AS jul_net#545, sum(aug_net#165)#510 AS aug_net#546, sum(sep_net#166)#511 AS sep_net#547, sum(oct_net#167)#512 AS oct_net#548, sum(nov_net#168)#513 AS nov_net#549, sum(dec_net#169)#514 AS dec_net#550] - -(56) TakeOrderedAndProject -Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] -Arguments: 100, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] +(45) Project [codegen id : 10] +Output [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [13]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, sm_ship_mode_sk#138] + +(46) HashAggregate [codegen id : 10] +Input [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] +Aggregate Attributes [48]: [sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162, sum#163, isEmpty#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170, sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176, sum#177, isEmpty#178, sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184, sum#185, isEmpty#186] +Results [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] + +(47) CometColumnarExchange +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Arguments: hashpartitioning(w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(48) CometHashAggregate +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] + +(49) CometUnion +Child 0 Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Child 1 Input [32]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, ship_carriers#261, year#262, jan_sales#263, feb_sales#264, mar_sales#265, apr_sales#266, may_sales#267, jun_sales#268, jul_sales#269, aug_sales#270, sep_sales#271, oct_sales#272, nov_sales#273, dec_sales#274, jan_net#275, feb_net#276, mar_net#277, apr_net#278, may_net#279, jun_net#280, jul_net#281, aug_net#282, sep_net#283, oct_net#284, nov_net#285, dec_net#286] + +(50) CometHashAggregate +Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [partial_sum(jan_sales#237), partial_sum(feb_sales#238), partial_sum(mar_sales#239), partial_sum(apr_sales#240), partial_sum(may_sales#241), partial_sum(jun_sales#242), partial_sum(jul_sales#243), partial_sum(aug_sales#244), partial_sum(sep_sales#245), partial_sum(oct_sales#246), partial_sum(nov_sales#247), partial_sum(dec_sales#248), partial_sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#249), partial_sum(feb_net#250), partial_sum(mar_net#251), partial_sum(apr_net#252), partial_sum(may_net#253), partial_sum(jun_net#254), partial_sum(jul_net#255), partial_sum(aug_net#256), partial_sum(sep_net#257), partial_sum(oct_net#258), partial_sum(nov_net#259), partial_sum(dec_net#260)] + +(51) CometExchange +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [sum(jan_sales#237), sum(feb_sales#238), sum(mar_sales#239), sum(apr_sales#240), sum(may_sales#241), sum(jun_sales#242), sum(jul_sales#243), sum(aug_sales#244), sum(sep_sales#245), sum(oct_sales#246), sum(nov_sales#247), sum(dec_sales#248), sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#249), sum(feb_net#250), sum(mar_net#251), sum(apr_net#252), sum(may_net#253), sum(jun_net#254), sum(jul_net#255), sum(aug_net#256), sum(sep_net#257), sum(oct_net#258), sum(nov_net#259), sum(dec_net#260)] + +(53) CometTakeOrderedAndProject +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#10 ASC NULLS FIRST], output=[w_warehouse_name#10,w_warehouse_sq_ft#11,w_city#12,w_county#13,w_state#16,w_country#15,ship_carriers#235,year#236,jan_sales#359,feb_sales#360,mar_sales#361,apr_sales#362,may_sales#363,jun_sales#364,jul_sales#365,aug_sales#366,sep_sales#367,oct_sales#368,nov_sales#369,dec_sales#370,jan_sales_per_sq_foot#371,feb_sales_per_sq_foot#372,mar_sales_per_sq_foot#373,apr_sales_per_sq_foot#374,may_sales_per_sq_foot#375,jun_sales_per_sq_foot#376,jul_sales_per_sq_foot#377,aug_sales_per_sq_foot#378,sep_sales_per_sq_foot#379,oct_sales_per_sq_foot#380,nov_sales_per_sq_foot#381,dec_sales_per_sq_foot#382,jan_net#383,feb_net#384,mar_net#385,apr_net#386,may_net#387,jun_net#388,jul_net#389,aug_net#390,sep_net#391,oct_net#392,nov_net#393,dec_net#394]), [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394], 100, 0, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] + +(54) CometColumnarToRow [codegen id : 11] +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometFilter (58) - +- CometNativeScan parquet spark_catalog.default.date_dim (57) +BroadcastExchange (58) ++- * CometColumnarToRow (57) + +- CometFilter (56) + +- CometNativeScan parquet spark_catalog.default.date_dim (55) -(57) CometNativeScan parquet spark_catalog.default.date_dim +(55) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#17, d_year#18, d_moy#19] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(58) CometFilter +(56) CometFilter Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Condition : ((isnotnull(d_year#18) AND (d_year#18 = 2001)) AND isnotnull(d_date_sk#17)) -(59) CometColumnarToRow [codegen id : 1] +(57) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#17, d_year#18, d_moy#19] -(60) BroadcastExchange +(58) BroadcastExchange Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#176 IN dynamicpruning#8 +Subquery:2 Hosting operator id = 31 Hosting Expression = cs_sold_date_sk#126 IN dynamicpruning#8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/extended.txt index caf49b6d52..6da78c44b8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/extended.txt @@ -1,82 +1,80 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.time_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.ship_mode - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.time_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.ship_mode +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.time_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.ship_mode + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.time_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.ship_mode -Comet accelerated 27 out of 66 eligible operators (40%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 66 eligible operators (50%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/simplified.txt index 3a1f053d60..0f165b9c3f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q66.native_datafusion/simplified.txt @@ -1,90 +1,82 @@ -TakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] - WholeStageCodegen (14) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net),jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 - WholeStageCodegen (13) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 - WholeStageCodegen (5) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] - Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_time_sk,t_time_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] - Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [t_time_sk] - CometFilter [t_time_sk,t_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [sm_ship_mode_sk] - CometFilter [sm_ship_mode_sk,sm_carrier] - CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] - WholeStageCodegen (12) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 - WholeStageCodegen (11) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] - Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_time_sk,t_time_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] - Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - ReusedExchange [t_time_sk] #5 - InputAdapter - ReusedExchange [sm_ship_mode_sk] #6 +WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net)] + CometExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 + CometHashAggregate [jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 + WholeStageCodegen (5) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] + Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_time_sk,t_time_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] + Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk] + CometFilter [t_time_sk,t_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [sm_ship_mode_sk] + CometFilter [sm_ship_mode_sk,sm_carrier] + CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 + WholeStageCodegen (10) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] + Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_time_sk,t_time_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] + Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + ReusedExchange [t_time_sk] #5 + InputAdapter + ReusedExchange [sm_ship_mode_sk] #6 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/explain.txt index 35fe4c82c3..75f1f537c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/explain.txt @@ -1,35 +1,34 @@ == Physical Plan == -TakeOrderedAndProject (31) -+- * Filter (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometColumnarExchange (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) - +- CometColumnarExchange (23) - +- * HashAggregate (22) - +- * Expand (21) - +- * Project (20) - +- * BroadcastHashJoin Inner BuildRight (19) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.store (7) - +- BroadcastExchange (18) - +- * CometColumnarToRow (17) - +- CometProject (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.item (14) +TakeOrderedAndProject (30) ++- * Filter (29) + +- Window (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometColumnarExchange (23) + +- * HashAggregate (22) + +- * Expand (21) + +- * Project (20) + +- * BroadcastHashJoin Inner BuildRight (19) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.store (7) + +- BroadcastExchange (18) + +- * CometColumnarToRow (17) + +- CometProject (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.item (14) (1) Scan parquet spark_catalog.default.store_sales @@ -47,7 +46,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sol Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 36] +(4) ReusedExchange [Reuses operator id: 35] Output [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (5) BroadcastHashJoin [codegen id : 4] @@ -139,68 +138,63 @@ Results [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year# Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Arguments: hashpartitioning(i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Keys [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36] -Results [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36 AS sumsales#37] -(26) CometColumnarExchange -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: hashpartitioning(i_category#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(25) CometExchange +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: hashpartitioning(i_category#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(27) CometSort -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37], [i_category#23 ASC NULLS FIRST, sumsales#37 DESC NULLS LAST] +(26) CometSort +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36], [i_category#23 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] -(28) CometColumnarToRow [codegen id : 6] -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] +(27) CometColumnarToRow [codegen id : 5] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] -(29) Window -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [rank(sumsales#37) windowspecdefinition(i_category#23, sumsales#37 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#38], [i_category#23], [sumsales#37 DESC NULLS LAST] +(28) Window +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [rank(sumsales#36) windowspecdefinition(i_category#23, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [i_category#23], [sumsales#36 DESC NULLS LAST] -(30) Filter [codegen id : 7] -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Condition : (rk#38 <= 100) +(29) Filter [codegen id : 6] +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Condition : (rk#37 <= 100) -(31) TakeOrderedAndProject -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#37 ASC NULLS FIRST, rk#38 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] +(30) TakeOrderedAndProject +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#37 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (36) -+- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.date_dim (32) +BroadcastExchange (35) ++- * CometColumnarToRow (34) + +- CometProject (33) + +- CometFilter (32) + +- CometNativeScan parquet spark_catalog.default.date_dim (31) -(32) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +(31) CometNativeScan parquet spark_catalog.default.date_dim +Output [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#39) AND (d_month_seq#39 >= 1200)) AND (d_month_seq#39 <= 1211)) AND isnotnull(d_date_sk#7)) +(32) CometFilter +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#38) AND (d_month_seq#38 >= 1200)) AND (d_month_seq#38 <= 1211)) AND isnotnull(d_date_sk#7)) -(34) CometProject -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +(33) CometProject +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(35) CometColumnarToRow [codegen id : 1] +(34) CometColumnarToRow [codegen id : 1] Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(36) BroadcastExchange +(35) BroadcastExchange Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/extended.txt index c3c3850224..35732f9b6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/extended.txt @@ -3,41 +3,40 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 15 out of 34 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 34 eligible operators (47%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/simplified.txt index 119660fde5..df820ab9b8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q67.native_datafusion/simplified.txt @@ -1,54 +1,51 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,rk] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [rk] InputAdapter Window [sumsales,i_category] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] - CometColumnarExchange [i_category] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] - Expand [ss_quantity,ss_sales_price,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] - Project [ss_quantity,ss_sales_price,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_year,d_moy,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometExchange [i_category] #1 + CometHashAggregate [spark_grouping_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] + Expand [ss_quantity,ss_sales_price,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] + Project [ss_quantity,ss_sales_price,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_year,d_moy,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/explain.txt index 7da946625e..5e98d02232 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#11] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, su Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18] Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#6)), sum(UnscaledValue(ss_ext_list_price#7)), sum(UnscaledValue(ss_ext_tax#8))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#6))#25, sum(UnscaledValue(ss_ext_list_price#7))#26, sum(UnscaledValue(ss_ext_tax#8))#27] -Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#18 AS bought_city#28, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#6))#25,17,2) AS extended_price#29, MakeDecimal(sum(UnscaledValue(ss_ext_list_price#7))#26,17,2) AS list_price#30, MakeDecimal(sum(UnscaledValue(ss_ext_tax#8))#27,17,2) AS extended_tax#31] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Condition : (isnotnull(c_customer_sk#32) AND isnotnull(c_current_addr_sk#33)) +(31) CometFilter +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Condition : (isnotnull(c_customer_sk#25) AND isnotnull(c_current_addr_sk#26)) -(33) CometProject -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Arguments: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37], [c_customer_sk#32, c_current_addr_sk#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#34, 20, true, false, true) AS c_first_name#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#35, 30, true, false, true) AS c_last_name#37] +(32) CometProject +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [c_customer_sk#25, c_current_addr_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#27, 20, true, false, true) AS c_first_name#29, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#28, 30, true, false, true) AS c_last_name#30] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(35) BroadcastExchange -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [6]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34] +Right output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_customer_sk#1], [c_customer_sk#25], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#32] -Join type: Inner -Join condition: None +(35) CometProject +Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(37) Project [codegen id : 8] -Output [8]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#35, ca_city#36] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#38, ca_city#39] +(37) CometFilter +Input [2]: [ca_address_sk#35, ca_city#36] +Condition : (isnotnull(ca_address_sk#35) AND isnotnull(ca_city#36)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#38] -Join type: Inner -Join condition: NOT (ca_city#39 = bought_city#28) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#35, ca_city#36] +Arguments: [ca_address_sk#35, ca_city#36] -(40) Project [codegen id : 8] -Output [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Input [10]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37, ca_address_sk#38, ca_city#39] +(39) CometBroadcastHashJoin +Left output [8]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Right output [2]: [ca_address_sk#35, ca_city#36] +Arguments: [c_current_addr_sk#26], [ca_address_sk#35], Inner, NOT (ca_city#36 = bought_city#31), BuildRight -(41) TakeOrderedAndProject -Input [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Arguments: 100, [c_last_name#37 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] +(40) CometProject +Input [10]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30, ca_address_sk#35, ca_city#36] +Arguments: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(41) CometTakeOrderedAndProject +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#30 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#30,c_first_name#29,ca_city#36,bought_city#31,ss_ticket_number#5,extended_price#32,extended_tax#34,list_price#33]), [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], 100, 0, [c_last_name#30 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(42) CometColumnarToRow [codegen id : 6] +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#40, d_dom#41] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#37, d_dom#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] -Condition : ((((isnotnull(d_dom#41) AND (d_dom#41 >= 1)) AND (d_dom#41 <= 2)) AND d_year#40 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) +(44) CometFilter +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] +Condition : ((((isnotnull(d_dom#38) AND (d_dom#38 >= 1)) AND (d_dom#38 <= 2)) AND d_year#37 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) -(44) CometProject -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] +(45) CometProject +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] Arguments: [d_date_sk#11], [d_date_sk#11] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#11] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/simplified.txt index 05b883b1e6..d10dfa6232 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q68.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_city,extended_price,extended_tax,list_price] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax)),bought_city,extended_price,list_price,extended_tax,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometBroadcastHashJoin [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,ca_city,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_ext_sales_price,ss_ext_list_price,ss_ext_tax] [sum,sum,sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_ InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/explain.txt index 3641cb51df..4d430f9040 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -237,19 +237,17 @@ Results [6]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_pur Input [6]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#18, cd_credit_rating#23, count#25] Arguments: hashpartitioning(cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#18, cd_credit_rating#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(42) CometColumnarToRow [codegen id : 10] -Input [6]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#18, cd_credit_rating#23, count#25] - -(43) HashAggregate [codegen id : 10] +(42) CometHashAggregate Input [6]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#18, cd_credit_rating#23, count#25] Keys [5]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cd_purchase_estimate#18, cd_credit_rating#23] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#26] -Results [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, count(1)#26 AS cnt1#27, cd_purchase_estimate#18, count(1)#26 AS cnt2#28, cd_credit_rating#23, count(1)#26 AS cnt3#29] -(44) TakeOrderedAndProject -Input [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#27, cd_purchase_estimate#18, cnt2#28, cd_credit_rating#23, cnt3#29] -Arguments: 100, [cd_gender#20 ASC NULLS FIRST, cd_marital_status#21 ASC NULLS FIRST, cd_education_status#22 ASC NULLS FIRST, cd_purchase_estimate#18 ASC NULLS FIRST, cd_credit_rating#23 ASC NULLS FIRST], [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#27, cd_purchase_estimate#18, cnt2#28, cd_credit_rating#23, cnt3#29] +(43) CometTakeOrderedAndProject +Input [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#26, cd_purchase_estimate#18, cnt2#27, cd_credit_rating#23, cnt3#28] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#20 ASC NULLS FIRST,cd_marital_status#21 ASC NULLS FIRST,cd_education_status#22 ASC NULLS FIRST,cd_purchase_estimate#18 ASC NULLS FIRST,cd_credit_rating#23 ASC NULLS FIRST], output=[cd_gender#20,cd_marital_status#21,cd_education_status#22,cnt1#26,cd_purchase_estimate#18,cnt2#27,cd_credit_rating#23,cnt3#28]), [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#26, cd_purchase_estimate#18, cnt2#27, cd_credit_rating#23, cnt3#28], 100, 0, [cd_gender#20 ASC NULLS FIRST, cd_marital_status#21 ASC NULLS FIRST, cd_education_status#22 ASC NULLS FIRST, cd_purchase_estimate#18 ASC NULLS FIRST, cd_credit_rating#23 ASC NULLS FIRST], [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#26, cd_purchase_estimate#18, cnt2#27, cd_credit_rating#23, cnt3#28] + +(44) CometColumnarToRow [codegen id : 10] +Input [8]: [cd_gender#20, cd_marital_status#21, cd_education_status#22, cnt1#26, cd_purchase_estimate#18, cnt2#27, cd_credit_rating#23, cnt3#28] ===== Subqueries ===== @@ -262,18 +260,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#30, d_moy#31] +Output [3]: [d_date_sk#7, d_year#29, d_moy#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#7, d_year#30, d_moy#31] -Condition : (((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2001)) AND (d_moy#31 >= 4)) AND (d_moy#31 <= 6)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#29, d_moy#30] +Condition : (((((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2001)) AND (d_moy#30 >= 4)) AND (d_moy#30 <= 6)) AND isnotnull(d_date_sk#7)) (47) CometProject -Input [3]: [d_date_sk#7, d_year#30, d_moy#31] +Input [3]: [d_date_sk#7, d_year#29, d_moy#30] Arguments: [d_date_sk#7], [d_date_sk#7] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/extended.txt index 821b101f54..67e35cb533 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -63,4 +63,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 53 eligible operators (39%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 53 eligible operators (43%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/simplified.txt index f8868e38be..43cee0de33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/explain.txt index 2986d9c0bf..b8053e18c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_pur Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] Arguments: hashpartitioning(cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] Keys [5]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, count(1)#30 AS cnt1#31, cd_purchase_estimate#22, count(1)#30 AS cnt2#32, cd_credit_rating#27, count(1)#30 AS cnt3#33] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#27, cnt3#33] -Arguments: 100, [cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_education_status#26 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#27 ASC NULLS FIRST], [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#27, cnt3#33] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#24 ASC NULLS FIRST,cd_marital_status#25 ASC NULLS FIRST,cd_education_status#26 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#27 ASC NULLS FIRST], output=[cd_gender#24,cd_marital_status#25,cd_education_status#26,cnt1#30,cd_purchase_estimate#22,cnt2#31,cd_credit_rating#27,cnt3#32]), [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32], 100, 0, [cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_education_status#26 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#27 ASC NULLS FIRST], [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/explain.txt index 2986d9c0bf..b8053e18c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_pur Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] Arguments: hashpartitioning(cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27, count#29] Keys [5]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cd_purchase_estimate#22, cd_credit_rating#27] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, count(1)#30 AS cnt1#31, cd_purchase_estimate#22, count(1)#30 AS cnt2#32, cd_credit_rating#27, count(1)#30 AS cnt3#33] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#27, cnt3#33] -Arguments: 100, [cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_education_status#26 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#27 ASC NULLS FIRST], [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#31, cd_purchase_estimate#22, cnt2#32, cd_credit_rating#27, cnt3#33] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#24 ASC NULLS FIRST,cd_marital_status#25 ASC NULLS FIRST,cd_education_status#26 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#27 ASC NULLS FIRST], output=[cd_gender#24,cd_marital_status#25,cd_education_status#26,cnt1#30,cd_purchase_estimate#22,cnt2#31,cd_credit_rating#27,cnt3#32]), [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32], 100, 0, [cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_education_status#26 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#27 ASC NULLS FIRST], [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#24, cd_marital_status#25, cd_education_status#26, cnt1#30, cd_purchase_estimate#22, cnt2#31, cd_credit_rating#27, cnt3#32] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q69/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/explain.txt index 1a5a7efc91..737928ed48 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#37, avg(UnscaledValue(ss_list_price#5))#38, avg(UnscaledValue(ss_coupon_amt#7))#39, avg(UnscaledValue(ss_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(ss_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(ss_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(ss_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(ss_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/extended.txt index f40fdbe4e3..7344a874f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/simplified.txt index bb670b4a73..5d0ad36f9d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q7.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/explain.txt index f185af2c42..cce9f65bd5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * Project (46) - +- Window (45) - +- * CometColumnarToRow (44) - +- CometSort (43) - +- CometColumnarExchange (42) - +- * HashAggregate (41) - +- * CometColumnarToRow (40) - +- CometColumnarExchange (39) - +- * HashAggregate (38) - +- * Expand (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (34) - +- * Project (33) - +- * BroadcastHashJoin LeftSemi BuildRight (32) - :- * CometColumnarToRow (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.store (7) - +- BroadcastExchange (31) - +- * Project (30) - +- * Filter (29) - +- Window (28) - +- * Sort (27) - +- * HashAggregate (26) - +- * CometColumnarToRow (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * Project (22) - +- * BroadcastHashJoin Inner BuildRight (21) - :- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Filter (12) - : : +- * ColumnarToRow (11) - : : +- Scan parquet spark_catalog.default.store_sales (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - +- ReusedExchange (20) +TakeOrderedAndProject (46) ++- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- CometExchange (41) + +- CometHashAggregate (40) + +- CometColumnarExchange (39) + +- * HashAggregate (38) + +- * Expand (37) + +- * Project (36) + +- * BroadcastHashJoin Inner BuildRight (35) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (34) + +- * Project (33) + +- * BroadcastHashJoin LeftSemi BuildRight (32) + :- * CometColumnarToRow (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.store (7) + +- BroadcastExchange (31) + +- * Project (30) + +- * Filter (29) + +- Window (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Filter (12) + : : +- * ColumnarToRow (11) + : : +- Scan parquet spark_catalog.default.store_sales (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.store_sales @@ -63,7 +62,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 52] +(4) ReusedExchange [Reuses operator id: 51] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -137,7 +136,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#12] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#6, s_state#12] -(20) ReusedExchange [Reuses operator id: 52] +(20) ReusedExchange [Reuses operator id: 51] Output [1]: [d_date_sk#5] (21) BroadcastHashJoin [codegen id : 4] @@ -161,31 +160,29 @@ Results [2]: [s_state#12, sum#14] Input [2]: [s_state#12, sum#14] Arguments: hashpartitioning(s_state#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#12, sum#14] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#12, sum#14] Keys [1]: [s_state#12] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#15] -Results [3]: [s_state#12, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#15,17,2) AS _w0#16, s_state#12] -(27) Sort [codegen id : 5] -Input [3]: [s_state#12, _w0#16, s_state#12] -Arguments: [s_state#12 ASC NULLS FIRST, _w0#16 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#12, _w0#15, s_state#12] +Arguments: [s_state#12, _w0#15, s_state#12], [s_state#12 ASC NULLS FIRST, _w0#15 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#12, _w0#15, s_state#12] (28) Window -Input [3]: [s_state#12, _w0#16, s_state#12] -Arguments: [rank(_w0#16) windowspecdefinition(s_state#12, _w0#16 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#17], [s_state#12], [_w0#16 DESC NULLS LAST] +Input [3]: [s_state#12, _w0#15, s_state#12] +Arguments: [rank(_w0#15) windowspecdefinition(s_state#12, _w0#15 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#16], [s_state#12], [_w0#15 DESC NULLS LAST] (29) Filter [codegen id : 6] -Input [4]: [s_state#12, _w0#16, s_state#12, ranking#17] -Condition : (ranking#17 <= 5) +Input [4]: [s_state#12, _w0#15, s_state#12, ranking#16] +Condition : (ranking#16 <= 5) (30) Project [codegen id : 6] Output [1]: [s_state#12] -Input [4]: [s_state#12, _w0#16, s_state#12, ranking#17] +Input [4]: [s_state#12, _w0#15, s_state#12, ranking#16] (31) BroadcastExchange Input [1]: [s_state#12] @@ -198,11 +195,11 @@ Join type: LeftSemi Join condition: None (33) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#18] +Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#17] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (34) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#18] +Input [3]: [s_store_sk#6, s_county#7, s_state#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (35) BroadcastHashJoin [codegen id : 8] @@ -212,86 +209,81 @@ Join type: Inner Join condition: None (36) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_state#18, s_county#7] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#18] +Output [3]: [ss_net_profit#2, s_state#17, s_county#7] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#17] (37) Expand [codegen id : 8] -Input [3]: [ss_net_profit#2, s_state#18, s_county#7] -Arguments: [[ss_net_profit#2, s_state#18, s_county#7, 0], [ss_net_profit#2, s_state#18, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#19, s_county#20, spark_grouping_id#21] +Input [3]: [ss_net_profit#2, s_state#17, s_county#7] +Arguments: [[ss_net_profit#2, s_state#17, s_county#7, 0], [ss_net_profit#2, s_state#17, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#18, s_county#19, spark_grouping_id#20] (38) HashAggregate [codegen id : 8] -Input [4]: [ss_net_profit#2, s_state#19, s_county#20, spark_grouping_id#21] -Keys [3]: [s_state#19, s_county#20, spark_grouping_id#21] +Input [4]: [ss_net_profit#2, s_state#18, s_county#19, spark_grouping_id#20] +Keys [3]: [s_state#18, s_county#19, spark_grouping_id#20] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#22] -Results [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] +Aggregate Attributes [1]: [sum#21] +Results [4]: [s_state#18, s_county#19, spark_grouping_id#20, sum#22] (39) CometColumnarExchange -Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] -Arguments: hashpartitioning(s_state#19, s_county#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 9] -Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] +Input [4]: [s_state#18, s_county#19, spark_grouping_id#20, sum#22] +Arguments: hashpartitioning(s_state#18, s_county#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) HashAggregate [codegen id : 9] -Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] -Keys [3]: [s_state#19, s_county#20, spark_grouping_id#21] +(40) CometHashAggregate +Input [4]: [s_state#18, s_county#19, spark_grouping_id#20, sum#22] +Keys [3]: [s_state#18, s_county#19, spark_grouping_id#20] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS total_sum#25, s_state#19, s_county#20, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS lochierarchy#26, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS _w0#27, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS _w1#28, CASE WHEN (cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint) = 0) THEN s_state#19 END AS _w2#29] -(42) CometColumnarExchange -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: hashpartitioning(_w1#28, _w2#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(41) CometExchange +Input [7]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27] +Arguments: hashpartitioning(_w1#26, _w2#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(43) CometSort -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29], [_w1#28 ASC NULLS FIRST, _w2#29 ASC NULLS FIRST, _w0#27 DESC NULLS LAST] +(42) CometSort +Input [7]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27] +Arguments: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27], [_w1#26 ASC NULLS FIRST, _w2#27 ASC NULLS FIRST, _w0#25 DESC NULLS LAST] -(44) CometColumnarToRow [codegen id : 10] -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27] -(45) Window -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [rank(_w0#27) windowspecdefinition(_w1#28, _w2#29, _w0#27 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#30], [_w1#28, _w2#29], [_w0#27 DESC NULLS LAST] +(44) Window +Input [7]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27] +Arguments: [rank(_w0#25) windowspecdefinition(_w1#26, _w2#27, _w0#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#28], [_w1#26, _w2#27], [_w0#25 DESC NULLS LAST] -(46) Project [codegen id : 11] -Output [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Input [8]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29, rank_within_parent#30] +(45) Project [codegen id : 10] +Output [5]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, rank_within_parent#28] +Input [8]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, _w0#25, _w1#26, _w2#27, rank_within_parent#28] -(47) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN s_state#19 END ASC NULLS FIRST, rank_within_parent#30 ASC NULLS FIRST], [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] +(46) TakeOrderedAndProject +Input [5]: [total_sum#23, s_state#18, s_county#19, lochierarchy#24, rank_within_parent#28] +Arguments: 100, [lochierarchy#24 DESC NULLS LAST, CASE WHEN (lochierarchy#24 = 0) THEN s_state#18 END ASC NULLS FIRST, rank_within_parent#28 ASC NULLS FIRST], [total_sum#23, s_state#18, s_county#19, lochierarchy#24, rank_within_parent#28] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (51) ++- * CometColumnarToRow (50) + +- CometProject (49) + +- CometFilter (48) + +- CometNativeScan parquet spark_catalog.default.date_dim (47) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#31] +(47) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#31] -Condition : (((isnotnull(d_month_seq#31) AND (d_month_seq#31 >= 1200)) AND (d_month_seq#31 <= 1211)) AND isnotnull(d_date_sk#5)) +(48) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#29] +Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1200)) AND (d_month_seq#29 <= 1211)) AND isnotnull(d_date_sk#5)) -(50) CometProject -Input [2]: [d_date_sk#5, d_month_seq#31] +(49) CometProject +Input [2]: [d_date_sk#5, d_month_seq#29] Arguments: [d_date_sk#5], [d_date_sk#5] -(51) CometColumnarToRow [codegen id : 1] +(50) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(52) BroadcastExchange +(51) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/extended.txt index 4abbd20203..c2702ee57e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/extended.txt @@ -3,62 +3,61 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 18 out of 52 eligible operators (34%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/simplified.txt index 62c46296ca..0c228e0784 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_datafusion/simplified.txt @@ -1,79 +1,76 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (11) + WholeStageCodegen (10) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (10) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (9) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #6 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #3 + BroadcastExchange #5 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #6 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/explain.txt index d3610af0f8..038df3ba50 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/explain.txt @@ -1,52 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometColumnarExchange (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Expand (38) - +- * Project (37) - +- * BroadcastHashJoin Inner BuildRight (36) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (35) - +- * Project (34) - +- * BroadcastHashJoin LeftSemi BuildRight (33) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (32) - +- * Project (31) - +- * Filter (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (47) ++- * Project (46) + +- Window (45) + +- * CometColumnarToRow (44) + +- CometSort (43) + +- CometExchange (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Expand (38) + +- * Project (37) + +- * BroadcastHashJoin Inner BuildRight (36) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (35) + +- * Project (34) + +- * BroadcastHashJoin LeftSemi BuildRight (33) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (32) + +- * Project (31) + +- * Filter (30) + +- Window (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -234,68 +233,63 @@ Results [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Arguments: hashpartitioning(s_state#19, s_county#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Keys [3]: [s_state#19, s_county#20, spark_grouping_id#21] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS total_sum#25, s_state#19, s_county#20, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS lochierarchy#26, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS _w0#27, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS _w1#28, CASE WHEN (cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint) = 0) THEN s_state#19 END AS _w2#29] -(43) CometColumnarExchange -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: hashpartitioning(_w1#28, _w2#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(42) CometExchange +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(44) CometSort -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29], [_w1#28 ASC NULLS FIRST, _w2#29 ASC NULLS FIRST, _w0#27 DESC NULLS LAST] +(43) CometSort +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 DESC NULLS LAST] -(45) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] +(44) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] -(46) Window -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [rank(_w0#27) windowspecdefinition(_w1#28, _w2#29, _w0#27 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#30], [_w1#28, _w2#29], [_w0#27 DESC NULLS LAST] +(45) Window +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 DESC NULLS LAST] -(47) Project [codegen id : 7] -Output [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Input [8]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29, rank_within_parent#30] +(46) Project [codegen id : 6] +Output [5]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] +Input [8]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29] -(48) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN s_state#19 END ASC NULLS FIRST, rank_within_parent#30 ASC NULLS FIRST], [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] +(47) TakeOrderedAndProject +Input [5]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] +Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN s_state#19 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (48) -(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(48) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter +(49) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(51) CometProject +(50) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(52) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(53) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/extended.txt index 6a918ac127..919ece8534 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/extended.txt @@ -3,58 +3,57 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 52 eligible operators (65%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 52 eligible operators (67%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/simplified.txt index d6ba61a844..37f20c5109 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70.native_iceberg_compat/simplified.txt @@ -1,73 +1,70 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/explain.txt index d3610af0f8..038df3ba50 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/explain.txt @@ -1,52 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometColumnarExchange (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Expand (38) - +- * Project (37) - +- * BroadcastHashJoin Inner BuildRight (36) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (35) - +- * Project (34) - +- * BroadcastHashJoin LeftSemi BuildRight (33) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (32) - +- * Project (31) - +- * Filter (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (47) ++- * Project (46) + +- Window (45) + +- * CometColumnarToRow (44) + +- CometSort (43) + +- CometExchange (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Expand (38) + +- * Project (37) + +- * BroadcastHashJoin Inner BuildRight (36) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (35) + +- * Project (34) + +- * BroadcastHashJoin LeftSemi BuildRight (33) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (32) + +- * Project (31) + +- * Filter (30) + +- Window (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -234,68 +233,63 @@ Results [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Arguments: hashpartitioning(s_state#19, s_county#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [4]: [s_state#19, s_county#20, spark_grouping_id#21, sum#23] Keys [3]: [s_state#19, s_county#20, spark_grouping_id#21] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS total_sum#25, s_state#19, s_county#20, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS lochierarchy#26, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) AS _w0#27, (cast((shiftright(spark_grouping_id#21, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint)) AS _w1#28, CASE WHEN (cast((shiftright(spark_grouping_id#21, 0) & 1) as tinyint) = 0) THEN s_state#19 END AS _w2#29] -(43) CometColumnarExchange -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: hashpartitioning(_w1#28, _w2#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(42) CometExchange +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(44) CometSort -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29], [_w1#28 ASC NULLS FIRST, _w2#29 ASC NULLS FIRST, _w0#27 DESC NULLS LAST] +(43) CometSort +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 DESC NULLS LAST] -(45) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] +(44) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] -(46) Window -Input [7]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29] -Arguments: [rank(_w0#27) windowspecdefinition(_w1#28, _w2#29, _w0#27 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#30], [_w1#28, _w2#29], [_w0#27 DESC NULLS LAST] +(45) Window +Input [7]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28] +Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 DESC NULLS LAST] -(47) Project [codegen id : 7] -Output [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Input [8]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, _w0#27, _w1#28, _w2#29, rank_within_parent#30] +(46) Project [codegen id : 6] +Output [5]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] +Input [8]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29] -(48) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN s_state#19 END ASC NULLS FIRST, rank_within_parent#30 ASC NULLS FIRST], [total_sum#25, s_state#19, s_county#20, lochierarchy#26, rank_within_parent#30] +(47) TakeOrderedAndProject +Input [5]: [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] +Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN s_state#19 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [total_sum#24, s_state#19, s_county#20, lochierarchy#25, rank_within_parent#29] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (48) -(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(48) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter +(49) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(51) CometProject +(50) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(52) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(53) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/extended.txt index 6a918ac127..919ece8534 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/extended.txt @@ -3,58 +3,57 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 52 eligible operators (65%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 52 eligible operators (67%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/simplified.txt index d6ba61a844..37f20c5109 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q70/simplified.txt @@ -1,73 +1,70 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/explain.txt index 7c4f959123..ff49d9c8fb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/explain.txt @@ -1,44 +1,43 @@ == Physical Plan == -* CometColumnarToRow (40) -+- CometSort (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * CometColumnarToRow (36) - +- CometColumnarExchange (35) - +- * HashAggregate (34) - +- * Project (33) - +- * BroadcastHashJoin Inner BuildRight (32) - :- * Project (26) - : +- * BroadcastHashJoin Inner BuildLeft (25) - : :- BroadcastExchange (5) - : : +- * CometColumnarToRow (4) - : : +- CometProject (3) - : : +- CometFilter (2) - : : +- CometNativeScan parquet spark_catalog.default.item (1) - : +- Union (24) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildRight (10) - : : :- * Filter (8) - : : : +- * ColumnarToRow (7) - : : : +- Scan parquet spark_catalog.default.web_sales (6) - : : +- ReusedExchange (9) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.catalog_sales (12) - : : +- ReusedExchange (15) - : +- * Project (23) - : +- * BroadcastHashJoin Inner BuildRight (22) - : :- * Filter (20) - : : +- * ColumnarToRow (19) - : : +- Scan parquet spark_catalog.default.store_sales (18) - : +- ReusedExchange (21) - +- BroadcastExchange (31) - +- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.time_dim (27) +* CometColumnarToRow (39) ++- CometSort (38) + +- CometExchange (37) + +- CometHashAggregate (36) + +- CometColumnarExchange (35) + +- * HashAggregate (34) + +- * Project (33) + +- * BroadcastHashJoin Inner BuildRight (32) + :- * Project (26) + : +- * BroadcastHashJoin Inner BuildLeft (25) + : :- BroadcastExchange (5) + : : +- * CometColumnarToRow (4) + : : +- CometProject (3) + : : +- CometFilter (2) + : : +- CometNativeScan parquet spark_catalog.default.item (1) + : +- Union (24) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildRight (10) + : : :- * Filter (8) + : : : +- * ColumnarToRow (7) + : : : +- Scan parquet spark_catalog.default.web_sales (6) + : : +- ReusedExchange (9) + : :- * Project (17) + : : +- * BroadcastHashJoin Inner BuildRight (16) + : : :- * Filter (14) + : : : +- * ColumnarToRow (13) + : : : +- Scan parquet spark_catalog.default.catalog_sales (12) + : : +- ReusedExchange (15) + : +- * Project (23) + : +- * BroadcastHashJoin Inner BuildRight (22) + : :- * Filter (20) + : : +- * ColumnarToRow (19) + : : +- Scan parquet spark_catalog.default.store_sales (18) + : +- ReusedExchange (21) + +- BroadcastExchange (31) + +- * CometColumnarToRow (30) + +- CometProject (29) + +- CometFilter (28) + +- CometNativeScan parquet spark_catalog.default.time_dim (27) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9] Condition : (isnotnull(ws_item_sk#7) AND isnotnull(ws_sold_time_sk#6)) -(9) ReusedExchange [Reuses operator id: 45] +(9) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#11] (10) BroadcastHashJoin [codegen id : 3] @@ -106,7 +105,7 @@ Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_da Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Condition : (isnotnull(cs_item_sk#16) AND isnotnull(cs_sold_time_sk#15)) -(15) ReusedExchange [Reuses operator id: 45] +(15) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#19] (16) BroadcastHashJoin [codegen id : 5] @@ -134,7 +133,7 @@ Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_da Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26] Condition : (isnotnull(ss_item_sk#24) AND isnotnull(ss_sold_time_sk#23)) -(21) ReusedExchange [Reuses operator id: 45] +(21) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#27] (22) BroadcastHashJoin [codegen id : 7] @@ -202,56 +201,51 @@ Results [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Arguments: hashpartitioning(i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(36) CometColumnarToRow [codegen id : 10] -Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] - -(37) HashAggregate [codegen id : 10] +(36) CometHashAggregate Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Keys [4]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33] Functions [1]: [sum(UnscaledValue(ext_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ext_price#12))#37] -Results [5]: [i_brand_id#2 AS brand_id#38, i_brand#5 AS brand#39, t_hour#32, t_minute#33, MakeDecimal(sum(UnscaledValue(ext_price#12))#37,17,2) AS ext_price#40] -(38) CometColumnarExchange -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: rangepartitioning(ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(37) CometExchange +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: rangepartitioning(ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(39) CometSort -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40], [ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST] +(38) CometSort +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39], [ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST] -(40) CometColumnarToRow [codegen id : 11] -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] +(39) CometColumnarToRow [codegen id : 10] +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 6 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (45) -+- * CometColumnarToRow (44) - +- CometProject (43) - +- CometFilter (42) - +- CometNativeScan parquet spark_catalog.default.date_dim (41) +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(41) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#41, d_moy#42] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(42) CometFilter -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 11)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#11)) +(41) CometFilter +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] +Condition : ((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 = 11)) AND (d_year#40 = 1999)) AND isnotnull(d_date_sk#11)) -(43) CometProject -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] +(42) CometProject +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] Arguments: [d_date_sk#11], [d_date_sk#11] -(44) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(45) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/extended.txt index 427d3518dc..e7c4aabd0f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/extended.txt @@ -1,62 +1,61 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.time_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- Union + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.time_dim -Comet accelerated 21 out of 49 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 22 out of 49 eligible operators (44%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/simplified.txt index 838a3e6604..c5b2b60263 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q71.native_datafusion/simplified.txt @@ -1,71 +1,68 @@ -WholeStageCodegen (11) +WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [brand_id,brand,t_hour,t_minute,ext_price] - CometColumnarExchange [ext_price,brand_id] #1 - WholeStageCodegen (10) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,sum] [sum(UnscaledValue(ext_price)),brand_id,brand,ext_price,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 - WholeStageCodegen (9) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] - Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] - BroadcastHashJoin [time_sk,t_time_sk] - Project [i_brand_id,i_brand,ext_price,time_sk] - BroadcastHashJoin [i_item_sk,sold_item_sk] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow + CometExchange [ext_price,brand_id] #1 + CometHashAggregate [sum] [brand_id,brand,t_hour,t_minute,ext_price,i_brand_id,i_brand,sum(UnscaledValue(ext_price))] + CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 + WholeStageCodegen (9) + HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] + Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] + BroadcastHashJoin [time_sk,t_time_sk] + Project [i_brand_id,i_brand,ext_price,time_sk] + BroadcastHashJoin [i_item_sk,sold_item_sk] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] + CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] + InputAdapter + Union + WholeStageCodegen (3) + Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk,ws_sold_time_sk] + ColumnarToRow InputAdapter - CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] - CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] - InputAdapter - Union - WholeStageCodegen (3) - Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk,ws_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (5) - Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_item_sk,cs_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (7) - Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - CometColumnarToRow + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] InputAdapter - CometProject [t_time_sk,t_hour,t_minute] - CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (5) + Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_item_sk,cs_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (7) + Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk,t_hour,t_minute] + CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/explain.txt index 7fe1aa758c..68f4076ce1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 1) AND (cnt#17 <= 5)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 1) AND (cnt#16 <= 5)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(cnt#17 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(cnt#16 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [cnt#17 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [cnt#16 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : ((((isnotnull(d_dom#28) AND (d_dom#28 >= 1)) AND (d_dom#28 <= 2)) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : ((((isnotnull(d_dom#27) AND (d_dom#27 >= 1)) AND (d_dom#27 <= 2)) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/simplified.txt index 4d2a6a74ab..cf64b4f5d6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q73.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [cnt] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [cnt] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/explain.txt index c019668fc8..ddf049abc5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#19, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#21, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#22, 30, true, false, true) AS c_last_name#7] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#7] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_customer_sk#23) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_customer_sk#22) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#23] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#22] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25] -Input [7]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#27, d_year#28] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24] +Input [7]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#25] -Right keys [1]: [d_date_sk#27] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#26, d_year#27] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25, d_date_sk#27, d_year#28] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum#29] -Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#24))#16] -Results [4]: [c_customer_id#5 AS customer_id#31, c_first_name#6 AS customer_first_name#32, c_last_name#7 AS customer_last_name#33, MakeDecimal(sum(UnscaledValue(ss_net_paid#24))#16,17,2) AS year_total#34] - -(36) BroadcastExchange -Input [4]: [customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#31] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#26] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24, d_date_sk#26, d_year#27] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#23))] +Aggregate Attributes [1]: [sum#28] +Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [sum(UnscaledValue(ss_net_paid#23))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#16], [customer_id#30], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Condition : (isnotnull(c_customer_sk#35) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true))) +(37) CometFilter +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Condition : (isnotnull(c_customer_sk#34) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true))) -(40) CometProject -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Arguments: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#37, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#38, 30, true, false, true) AS c_last_name#41] +(38) CometProject +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Arguments: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#40] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#42) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#41) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#35] -Right keys [1]: [ws_bill_customer_sk#42] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#34] +Right keys [1]: [ws_bill_customer_sk#41] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44] -Input [7]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43] +Input [7]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#45, d_year#46] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#44, d_year#45] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#44] -Right keys [1]: [d_date_sk#45] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44, d_date_sk#45, d_year#46] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum#47] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#43))#49] -Results [2]: [c_customer_id#39 AS customer_id#50, MakeDecimal(sum(UnscaledValue(ws_net_paid#43))#49,17,2) AS year_total#51] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#50, year_total#51] -Condition : (isnotnull(year_total#51) AND (year_total#51 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#50, year_total#51] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#50] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51] -Input [8]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, customer_id#50, year_total#51] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43, d_date_sk#44, d_year#45] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#42))] +Aggregate Attributes [1]: [sum#46] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [sum(UnscaledValue(ws_net_paid#42))] + +(52) CometFilter +Input [2]: [customer_id#48, year_total#49] +Condition : (isnotnull(year_total#49) AND (year_total#49 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#48, year_total#49] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Right output [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#16], [customer_id#48], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, customer_id#48, year_total#49] +Arguments: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49], [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Condition : (isnotnull(c_customer_sk#52) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true))) +(57) CometFilter +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Condition : (isnotnull(c_customer_sk#50) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true))) -(61) CometProject -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Arguments: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#54, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#55, 30, true, false, true) AS c_last_name#41] +(58) CometProject +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Arguments: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#50, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#52, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#53, 30, true, false, true) AS c_last_name#40] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#58), dynamicpruningexpression(ws_sold_date_sk#58 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ws_sold_date_sk#56), dynamicpruningexpression(ws_sold_date_sk#56 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Condition : isnotnull(ws_bill_customer_sk#56) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Condition : isnotnull(ws_bill_customer_sk#54) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#52] -Right keys [1]: [ws_bill_customer_sk#56] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#50] +Right keys [1]: [ws_bill_customer_sk#54] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58] -Input [7]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56] +Input [7]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#59, d_year#60] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#57, d_year#58] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#58] -Right keys [1]: [d_date_sk#59] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#56] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58, d_date_sk#59, d_year#60] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum#61] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#57))#49] -Results [2]: [c_customer_id#39 AS customer_id#63, MakeDecimal(sum(UnscaledValue(ws_net_paid#57))#49,17,2) AS year_total#64] - -(76) BroadcastExchange -Input [2]: [customer_id#63, year_total#64] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#63] -Join type: Inner -Join condition: (CASE WHEN (year_total#51 > 0.00) THEN (year_total#64 / year_total#51) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#34 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56, d_date_sk#57, d_year#58] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#55))] +Aggregate Attributes [1]: [sum#59] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [sum(UnscaledValue(ws_net_paid#55))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Input [9]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51, customer_id#63, year_total#64] +(72) CometBroadcastExchange +Input [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#61, year_total#62] -(79) TakeOrderedAndProject -Input [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Arguments: 100, [customer_id#31 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST], [customer_id#31, customer_first_name#32, customer_last_name#33] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] +Right output [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#16], [customer_id#61], Inner, (CASE WHEN (year_total#49 > 0.00) THEN (year_total#62 / year_total#49) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#33 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49, customer_id#61, year_total#62] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#30 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST], output=[customer_id#30,customer_first_name#31,customer_last_name#32]), [customer_id#30, customer_first_name#31, customer_last_name#32], 100, 0, [customer_id#30 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#26 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#25 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#27, d_year#28] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#27, d_year#28] -Condition : (((isnotnull(d_year#28) AND (d_year#28 = 2002)) AND d_year#28 IN (2001,2002)) AND isnotnull(d_date_sk#27)) +(82) CometFilter +Input [2]: [d_date_sk#26, d_year#27] +Condition : (((isnotnull(d_year#27) AND (d_year#27 = 2002)) AND d_year#27 IN (2001,2002)) AND isnotnull(d_date_sk#26)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#27, d_year#28] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#26, d_year#27] -(87) BroadcastExchange -Input [2]: [d_date_sk#27, d_year#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#26, d_year#27] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#58 IN dynamicpruning#26 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#56 IN dynamicpruning#25 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/simplified.txt index f488e18c7c..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/explain.txt index ae530b4900..dc34194c8f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/explain.txt @@ -1,96 +1,94 @@ == Physical Plan == -TakeOrderedAndProject (92) -+- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Expand (87) - +- Union (86) - :- * Project (32) - : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : :- * HashAggregate (16) - : : +- * CometColumnarToRow (15) - : : +- CometColumnarExchange (14) - : : +- * HashAggregate (13) - : : +- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (10) - : : +- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (30) - : +- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (22) - : : +- * BroadcastHashJoin Inner BuildRight (21) - : : :- * Filter (19) - : : : +- * ColumnarToRow (18) - : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : +- ReusedExchange (20) - : +- ReusedExchange (23) - :- * Project (53) - : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : :- BroadcastExchange (42) - : : +- * HashAggregate (41) - : : +- * CometColumnarToRow (40) - : : +- CometColumnarExchange (39) - : : +- * HashAggregate (38) - : : +- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * ColumnarToRow (34) - : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : +- ReusedExchange (35) - : +- * HashAggregate (51) - : +- * CometColumnarToRow (50) - : +- CometColumnarExchange (49) - : +- * HashAggregate (48) - : +- * Project (47) - : +- * BroadcastHashJoin Inner BuildRight (46) - : :- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : +- ReusedExchange (45) - +- * Project (85) - +- * BroadcastHashJoin LeftOuter BuildRight (84) - :- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- CometColumnarExchange (67) - : +- * HashAggregate (66) - : +- * Project (65) - : +- * BroadcastHashJoin Inner BuildRight (64) - : :- * Project (59) - : : +- * BroadcastHashJoin Inner BuildRight (58) - : : :- * Filter (56) - : : : +- * ColumnarToRow (55) - : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (57) - : +- BroadcastExchange (63) - : +- * CometColumnarToRow (62) - : +- CometFilter (61) - : +- CometNativeScan parquet spark_catalog.default.web_page (60) - +- BroadcastExchange (83) - +- * HashAggregate (82) - +- * CometColumnarToRow (81) - +- CometColumnarExchange (80) - +- * HashAggregate (79) - +- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (75) - : +- * BroadcastHashJoin Inner BuildRight (74) - : :- * Filter (72) - : : +- * ColumnarToRow (71) - : : +- Scan parquet spark_catalog.default.web_returns (70) - : +- ReusedExchange (73) - +- ReusedExchange (76) +* CometColumnarToRow (90) ++- CometTakeOrderedAndProject (89) + +- CometHashAggregate (88) + +- CometColumnarExchange (87) + +- * HashAggregate (86) + +- * Expand (85) + +- Union (84) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometHashAggregate (15) + : : +- CometColumnarExchange (14) + : : +- * HashAggregate (13) + : : +- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (10) + : : +- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- CometBroadcastExchange (28) + : +- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (21) + : : +- * BroadcastHashJoin Inner BuildRight (20) + : : :- * Filter (18) + : : : +- * ColumnarToRow (17) + : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : +- ReusedExchange (19) + : +- ReusedExchange (22) + :- * Project (52) + : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : :- BroadcastExchange (41) + : : +- * CometColumnarToRow (40) + : : +- CometHashAggregate (39) + : : +- CometColumnarExchange (38) + : : +- * HashAggregate (37) + : : +- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * ColumnarToRow (33) + : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : +- ReusedExchange (34) + : +- * CometColumnarToRow (50) + : +- CometHashAggregate (49) + : +- CometColumnarExchange (48) + : +- * HashAggregate (47) + : +- * Project (46) + : +- * BroadcastHashJoin Inner BuildRight (45) + : :- * ColumnarToRow (43) + : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : +- ReusedExchange (44) + +- * CometColumnarToRow (83) + +- CometProject (82) + +- CometBroadcastHashJoin (81) + :- CometHashAggregate (67) + : +- CometColumnarExchange (66) + : +- * HashAggregate (65) + : +- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (58) + : : +- * BroadcastHashJoin Inner BuildRight (57) + : : :- * Filter (55) + : : : +- * ColumnarToRow (54) + : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : +- ReusedExchange (56) + : +- BroadcastExchange (62) + : +- * CometColumnarToRow (61) + : +- CometFilter (60) + : +- CometNativeScan parquet spark_catalog.default.web_page (59) + +- CometBroadcastExchange (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- * Project (76) + +- * BroadcastHashJoin Inner BuildRight (75) + :- * Project (73) + : +- * BroadcastHashJoin Inner BuildRight (72) + : :- * Filter (70) + : : +- * ColumnarToRow (69) + : : +- Scan parquet spark_catalog.default.web_returns (68) + : +- ReusedExchange (71) + +- ReusedExchange (74) (1) Scan parquet spark_catalog.default.store_sales @@ -108,7 +106,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 97] +(4) ReusedExchange [Reuses operator id: 95] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -160,416 +158,394 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] + +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(32) Project [codegen id : 8] -Output [5]: [sales#14, coalesce(returns#28, 0.00) AS returns#30, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#31, store channel AS channel#32, s_store_sk#7 AS id#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [sales#24, returns#26, profit#27, channel#28, id#29], [sales#24, coalesce(returns#22, 0.00) AS returns#26, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#27, store channel AS channel#28, s_store_sk#7 AS id#29] -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] - -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] + +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#59, catalog channel AS channel#60, cs_call_center_sk#34 AS id#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#51, catalog channel AS channel#52, cs_call_center_sk#30 AS id#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] -(85) Project [codegen id : 22] -Output [5]: [sales#74, coalesce(returns#88, 0.00) AS returns#90, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#91, web channel AS channel#92, wp_web_page_sk#67 AS id#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight -(86) Union +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [sales#76, returns#78, profit#79, channel#80, id#81], [sales#76, coalesce(returns#74, 0.00) AS returns#78, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#79, web channel AS channel#80, wp_web_page_sk#59 AS id#81] -(87) Expand [codegen id : 23] -Input [5]: [sales#14, returns#30, profit#31, channel#32, id#33] -Arguments: [[sales#14, returns#30, profit#31, channel#32, id#33, 0], [sales#14, returns#30, profit#31, channel#32, null, 1], [sales#14, returns#30, profit#31, null, null, 3]], [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [sales#76, returns#78, profit#79, channel#80, id#81] -(88) HashAggregate [codegen id : 23] -Input [6]: [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#30), partial_sum(profit#31)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(84) Union -(89) CometColumnarExchange -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#94, id#95, spark_grouping_id#96, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(85) Expand [codegen id : 21] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] +Arguments: [[sales#24, returns#26, profit#27, channel#28, id#29, 0], [sales#24, returns#26, profit#27, channel#28, null, 1], [sales#24, returns#26, profit#27, null, null, 3]], [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] -(90) CometColumnarToRow [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(86) HashAggregate [codegen id : 21] +Input [6]: [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#26), partial_sum(profit#27)] +Aggregate Attributes [6]: [sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] +Results [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] -(91) HashAggregate [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [sum(sales#14), sum(returns#30), sum(profit#31)] -Aggregate Attributes [3]: [sum(sales#14)#109, sum(returns#30)#110, sum(profit#31)#111] -Results [5]: [channel#94, id#95, sum(sales#14)#109 AS sales#112, sum(returns#30)#110 AS returns#113, sum(profit#31)#111 AS profit#114] +(87) CometColumnarExchange +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#82, id#83, spark_grouping_id#84, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(92) TakeOrderedAndProject -Input [5]: [channel#94, id#95, sales#112, returns#113, profit#114] -Arguments: 100, [channel#94 ASC NULLS FIRST, id#95 ASC NULLS FIRST], [channel#94, id#95, sales#112, returns#113, profit#114] +(88) CometHashAggregate +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [sum(sales#24), sum(returns#26), sum(profit#27)] + +(89) CometTakeOrderedAndProject +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#82 ASC NULLS FIRST,id#83 ASC NULLS FIRST], output=[channel#82,id#83,sales#97,returns#98,profit#99]), [channel#82, id#83, sales#97, returns#98, profit#99], 100, 0, [channel#82 ASC NULLS FIRST, id#83 ASC NULLS FIRST], [channel#82, id#83, sales#97, returns#98, profit#99] + +(90) CometColumnarToRow [codegen id : 22] +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (97) -+- * CometColumnarToRow (96) - +- CometProject (95) - +- CometFilter (94) - +- CometNativeScan parquet spark_catalog.default.date_dim (93) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometProject (93) + +- CometFilter (92) + +- CometNativeScan parquet spark_catalog.default.date_dim (91) -(93) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#115] +(91) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-03), LessThanOrEqual(d_date,2000-09-02), IsNotNull(d_date_sk)] ReadSchema: struct -(94) CometFilter -Input [2]: [d_date_sk#6, d_date#115] -Condition : (((isnotnull(d_date#115) AND (d_date#115 >= 2000-08-03)) AND (d_date#115 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) +(92) CometFilter +Input [2]: [d_date_sk#6, d_date#100] +Condition : (((isnotnull(d_date#100) AND (d_date#100 >= 2000-08-03)) AND (d_date#100 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) -(95) CometProject -Input [2]: [d_date_sk#6, d_date#115] +(93) CometProject +Input [2]: [d_date_sk#6, d_date#100] Arguments: [d_date_sk#6], [d_date_sk#6] -(96) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(97) BroadcastExchange +(95) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/extended.txt index d12b8dde24..93286d646f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/extended.txt @@ -1,41 +1,40 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -56,10 +55,10 @@ TakeOrderedAndProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.store :- Project - : +- BroadcastNestedLoopJoin + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -72,8 +71,8 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -86,32 +85,31 @@ TakeOrderedAndProject : +- CometProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -132,4 +130,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 36 out of 109 eligible operators (33%). Final plan contains 24 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 50 out of 109 eligible operators (45%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/simplified.txt index 4256e90759..dbaea7bf2e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_datafusion/simplified.txt @@ -1,20 +1,20 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (24) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (22) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] Expand [sales,returns,profit,channel,id] InputAdapter Union - WholeStageCodegen (8) - Project [sales,returns,profit,profit_loss,s_store_sk] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,s_store_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_sk] #2 WholeStageCodegen (3) HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] @@ -43,39 +43,35 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] InputAdapter CometFilter [s_store_sk] CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #6 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,returns,profit_loss] #5 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #6 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [s_store_sk] #4 - WholeStageCodegen (14) + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [s_store_sk] #4 + WholeStageCodegen (13) Project [sales,returns,profit,profit_loss,cs_call_center_sk] BroadcastNestedLoopJoin InputAdapter BroadcastExchange #7 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [cs_call_center_sk] #8 - WholeStageCodegen (10) + WholeStageCodegen (9) HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] BroadcastHashJoin [cs_sold_date_sk,d_date_sk] @@ -85,11 +81,11 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] CometColumnarExchange #9 - WholeStageCodegen (13) + WholeStageCodegen (12) HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] Project [cr_return_amount,cr_net_loss] BroadcastHashJoin [cr_returned_date_sk,d_date_sk] @@ -99,14 +95,14 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - WholeStageCodegen (22) - Project [sales,returns,profit,profit_loss,wp_web_page_sk] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,wp_web_page_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] CometColumnarExchange [wp_web_page_sk] #10 - WholeStageCodegen (17) + WholeStageCodegen (16) HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] @@ -121,30 +117,26 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedExchange [d_date_sk] #3 InputAdapter BroadcastExchange #11 - WholeStageCodegen (16) + WholeStageCodegen (15) CometColumnarToRow InputAdapter CometFilter [wp_web_page_sk] CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #13 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #12 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #13 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [wp_web_page_sk] #11 + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [wp_web_page_sk] #11 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q77/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/explain.txt index 78ed64abe7..e4f303c658 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/explain.txt @@ -1,36 +1,35 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * Project (31) - +- * BroadcastHashJoin Inner BuildRight (30) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (29) - +- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.customer (25) +* CometColumnarToRow (31) ++- CometTakeOrderedAndProject (30) + +- CometProject (29) + +- CometBroadcastHashJoin (28) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.customer (24) (1) Scan parquet spark_catalog.default.store_sales @@ -48,7 +47,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : ((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 37] +(4) ReusedExchange [Reuses operator id: 36] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 4] @@ -136,82 +135,76 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#21, sum(UnscaledValue(ss_net_profit#7))#22] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#21,17,2) AS amt#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#22,17,2) AS profit#24] -(25) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] +(24) CometNativeScan parquet spark_catalog.default.customer +Output [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(26) CometFilter -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Condition : isnotnull(c_customer_sk#25) +(25) CometFilter +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Condition : isnotnull(c_customer_sk#21) -(27) CometProject -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Arguments: [c_customer_sk#25, c_first_name#28, c_last_name#29], [c_customer_sk#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#26, 20, true, false, true) AS c_first_name#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#27, 30, true, false, true) AS c_last_name#29] +(26) CometProject +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25], [c_customer_sk#21, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#22, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#23, 30, true, false, true) AS c_last_name#25] -(28) CometColumnarToRow [codegen id : 5] -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] +(27) CometBroadcastExchange +Input [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25] -(29) BroadcastExchange -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27] +Right output [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#21], Inner, BuildRight -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#25] -Join type: Inner -Join condition: None +(29) CometProject +Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27, c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13], [c_last_name#25, c_first_name#24, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] -(31) Project [codegen id : 6] -Output [7]: [c_last_name#29, c_first_name#28, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#23, profit#24, c_customer_sk#25, c_first_name#28, c_last_name#29] +(30) CometTakeOrderedAndProject +Input [7]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#25 ASC NULLS FIRST,c_first_name#24 ASC NULLS FIRST,substr(s_city#13, 1, 30) ASC NULLS FIRST,profit#27 ASC NULLS FIRST], output=[c_last_name#25,c_first_name#24,substr(s_city, 1, 30)#28,ss_ticket_number#5,amt#26,profit#27]), [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27], 100, 0, [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#27 ASC NULLS FIRST], [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] -(32) TakeOrderedAndProject -Input [7]: [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Arguments: 100, [c_last_name#29 ASC NULLS FIRST, c_first_name#28 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#24 ASC NULLS FIRST], [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24] +(31) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (37) -+- * CometColumnarToRow (36) - +- CometProject (35) - +- CometFilter (34) - +- CometNativeScan parquet spark_catalog.default.date_dim (33) +BroadcastExchange (36) ++- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.date_dim (32) -(33) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#31, d_dow#32] +(32) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#29, d_dow#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dow), EqualTo(d_dow,1), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(34) CometFilter -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] -Condition : (((isnotnull(d_dow#32) AND (d_dow#32 = 1)) AND d_year#31 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(33) CometFilter +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] +Condition : (((isnotnull(d_dow#30) AND (d_dow#30 = 1)) AND d_year#29 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(35) CometProject -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] +(34) CometProject +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] Arguments: [d_date_sk#10], [d_date_sk#10] -(36) CometColumnarToRow [codegen id : 1] +(35) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(37) BroadcastExchange +(36) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/extended.txt index 05bd194c34..8014db6392 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/extended.txt @@ -1,44 +1,43 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 35 eligible operators (60%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/simplified.txt index 1ee7a286a4..d22932e9d2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q79.native_datafusion/simplified.txt @@ -1,10 +1,10 @@ -TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, 30),ss_ticket_number,amt] - WholeStageCodegen (6) - Project [c_last_name,c_first_name,s_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_city] [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit,s_city] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,s_city,amt,profit,c_customer_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,s_city,amt,profit,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city] #1 WholeStageCodegen (4) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -44,11 +44,7 @@ TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, CometProject [hd_demo_sk] CometFilter [hd_demo_sk,hd_dep_count,hd_vehicle_count] CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name] #5 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/explain.txt index 754a8871d1..9456ea4556 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -235,19 +235,17 @@ Results [2]: [s_store_name#7, sum#21] Input [2]: [s_store_name#7, sum#21] Arguments: hashpartitioning(s_store_name#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(42) CometColumnarToRow [codegen id : 5] -Input [2]: [s_store_name#7, sum#21] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [2]: [s_store_name#7, sum#21] Keys [1]: [s_store_name#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#22] -Results [2]: [s_store_name#7, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#22,17,2) AS sum(ss_net_profit)#23] -(44) TakeOrderedAndProject -Input [2]: [s_store_name#7, sum(ss_net_profit)#23] -Arguments: 100, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#23] +(43) CometTakeOrderedAndProject +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#7 ASC NULLS FIRST], output=[s_store_name#7,sum(ss_net_profit)#22]), [s_store_name#7, sum(ss_net_profit)#22], 100, 0, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#22] + +(44) CometColumnarToRow [codegen id : 5] +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] ===== Subqueries ===== @@ -260,18 +258,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Output [3]: [d_date_sk#5, d_year#23, d_qoy#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] -Condition : ((((isnotnull(d_qoy#25) AND isnotnull(d_year#24)) AND (d_qoy#25 = 2)) AND (d_year#24 = 1998)) AND isnotnull(d_date_sk#5)) +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] +Condition : ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 1998)) AND isnotnull(d_date_sk#5)) (47) CometProject -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] Arguments: [d_date_sk#5], [d_date_sk#5] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/extended.txt index 257b7f0d77..f6c170dacc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -53,4 +53,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 32 out of 48 eligible operators (66%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 48 eligible operators (70%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/simplified.txt index 4df6d8f659..1cf80a5bae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q8.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,sum(ss_net_profit)] - WholeStageCodegen (5) - HashAggregate [s_store_name,sum] [sum(UnscaledValue(ss_net_profit)),sum(ss_net_profit),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,sum(ss_net_profit)] + CometHashAggregate [sum] [s_store_name,sum(ss_net_profit),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_name] #1 WholeStageCodegen (4) HashAggregate [s_store_name,ss_net_profit] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/explain.txt index 63856aaca5..a3b34e5724 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.catalog_returns @@ -70,7 +66,7 @@ Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_in Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] Condition : (isnotnull(cr_returning_addr_sk#2) AND isnotnull(cr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,21 +122,16 @@ Results [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [cr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))#12] -Results [3]: [cr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.catalog_returns +(18) Scan parquet spark_catalog.default.catalog_returns Output [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] Batched: true Location: InMemoryFileIndex [] @@ -148,199 +139,181 @@ PartitionFilters: [isnotnull(cr_returned_date_sk#4), dynamicpruningexpression(cr PushedFilters: [IsNotNull(cr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] +(19) ColumnarToRow [codegen id : 6] Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] -(21) Filter [codegen id : 6] +(20) Filter [codegen id : 6] Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] Condition : isnotnull(cr_returning_addr_sk#2) -(22) ReusedExchange [Reuses operator id: 59] +(21) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] -(23) BroadcastHashJoin [codegen id : 6] +(22) BroadcastHashJoin [codegen id : 6] Left keys [1]: [cr_returned_date_sk#4] Right keys [1]: [d_date_sk#6] Join type: Inner Join condition: None -(24) Project [codegen id : 6] +(23) Project [codegen id : 6] Output [3]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3] Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4, d_date_sk#6] -(25) ReusedExchange [Reuses operator id: 11] +(24) ReusedExchange [Reuses operator id: 11] Output [2]: [ca_address_sk#7, ca_state#9] -(26) BroadcastHashJoin [codegen id : 6] +(25) BroadcastHashJoin [codegen id : 6] Left keys [1]: [cr_returning_addr_sk#2] Right keys [1]: [ca_address_sk#7] Join type: Inner Join condition: None -(27) Project [codegen id : 6] +(26) Project [codegen id : 6] Output [3]: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9] Input [5]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, ca_address_sk#7, ca_state#9] -(28) HashAggregate [codegen id : 6] +(27) HashAggregate [codegen id : 6] Input [3]: [cr_returning_customer_sk#1, cr_return_amt_inc_tax#3, ca_state#9] Keys [2]: [cr_returning_customer_sk#1, ca_state#9] Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#3))] -Aggregate Attributes [1]: [sum#16] -Results [3]: [cr_returning_customer_sk#1, ca_state#9, sum#17] +Aggregate Attributes [1]: [sum#15] +Results [3]: [cr_returning_customer_sk#1, ca_state#9, sum#16] -(29) CometColumnarExchange -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#17] +(28) CometColumnarExchange +Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#16] Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#17] - -(31) HashAggregate [codegen id : 7] -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#17] +(29) CometHashAggregate +Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#16] Keys [2]: [cr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))#12] -Results [2]: [ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#3))#12,17,2) AS ctr_total_return#15] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#14, ctr_total_return#15] -Keys [1]: [ctr_state#14] -Functions [1]: [partial_avg(ctr_total_return#15)] -Aggregate Attributes [2]: [sum#18, count#19] -Results [3]: [ctr_state#14, sum#20, count#21] - -(33) CometColumnarExchange -Input [3]: [ctr_state#14, sum#20, count#21] -Arguments: hashpartitioning(ctr_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#14, sum#20, count#21] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#14, sum#20, count#21] -Keys [1]: [ctr_state#14] -Functions [1]: [avg(ctr_total_return#15)] -Aggregate Attributes [1]: [avg(ctr_total_return#15)#22] -Results [2]: [(avg(ctr_total_return#15)#22 * 1.2) AS (avg(ctr_total_return) * 1.2)#23, ctr_state#14 AS ctr_state#14#24] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#23) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#14#24] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#23) -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#23, ctr_state#14#24] +(30) CometHashAggregate +Input [2]: [ctr_state#13, ctr_total_return#14] +Keys [1]: [ctr_state#13] +Functions [1]: [partial_avg(ctr_total_return#14)] + +(31) CometExchange +Input [3]: [ctr_state#13, sum#17, count#18] +Arguments: hashpartitioning(ctr_state#13, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#13, sum#17, count#18] +Keys [1]: [ctr_state#13] +Functions [1]: [avg(ctr_total_return#14)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#19) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [ctr_state#13], [ctr_state#13#20], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#19), BuildRight -(40) CometNativeScan parquet spark_catalog.default.customer -Output [6]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30] +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#19, ctr_state#13#20] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [6]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [6]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30] -Condition : (isnotnull(c_customer_sk#25) AND isnotnull(c_current_addr_sk#27)) - -(42) CometProject -Input [6]: [c_customer_sk#25, c_customer_id#26, c_current_addr_sk#27, c_salutation#28, c_first_name#29, c_last_name#30] -Arguments: [c_customer_sk#25, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34], [c_customer_sk#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#26, 16, true, false, true) AS c_customer_id#31, c_current_addr_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#28, 10, true, false, true) AS c_salutation#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#34] +(38) CometFilter +Input [6]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26] +Condition : (isnotnull(c_customer_sk#21) AND isnotnull(c_current_addr_sk#23)) -(43) CometColumnarToRow [codegen id : 9] -Input [6]: [c_customer_sk#25, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34] +(39) CometProject +Input [6]: [c_customer_sk#21, c_customer_id#22, c_current_addr_sk#23, c_salutation#24, c_first_name#25, c_last_name#26] +Arguments: [c_customer_sk#21, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30], [c_customer_sk#21, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#22, 16, true, false, true) AS c_customer_id#27, c_current_addr_sk#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#24, 10, true, false, true) AS c_salutation#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#25, 20, true, false, true) AS c_first_name#29, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#26, 30, true, false, true) AS c_last_name#30] -(44) BroadcastExchange -Input [6]: [c_customer_sk#25, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [6]: [c_customer_sk#21, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] +Arguments: [c_customer_sk#21, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#25] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [6]: [c_customer_sk#21, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] +Arguments: [ctr_customer_sk#12], [c_customer_sk#21], Inner, BuildRight -(46) Project [codegen id : 11] -Output [6]: [ctr_total_return#15, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34] -Input [8]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#25, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34] +(42) CometProject +Input [8]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#21, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] +Arguments: [ctr_total_return#14, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30], [ctr_total_return#14, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [12]: [ca_address_sk#35, ca_street_number#36, ca_street_name#37, ca_street_type#38, ca_suite_number#39, ca_city#40, ca_county#41, ca_state#42, ca_zip#43, ca_country#44, ca_gmt_offset#45, ca_location_type#46] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [12]: [ca_address_sk#31, ca_street_number#32, ca_street_name#33, ca_street_type#34, ca_suite_number#35, ca_city#36, ca_county#37, ca_state#38, ca_zip#39, ca_country#40, ca_gmt_offset#41, ca_location_type#42] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [12]: [ca_address_sk#35, ca_street_number#36, ca_street_name#37, ca_street_type#38, ca_suite_number#39, ca_city#40, ca_county#41, ca_state#42, ca_zip#43, ca_country#44, ca_gmt_offset#45, ca_location_type#46] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#42, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#35)) +(44) CometFilter +Input [12]: [ca_address_sk#31, ca_street_number#32, ca_street_name#33, ca_street_type#34, ca_suite_number#35, ca_city#36, ca_county#37, ca_state#38, ca_zip#39, ca_country#40, ca_gmt_offset#41, ca_location_type#42] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#38, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#31)) -(49) CometProject -Input [12]: [ca_address_sk#35, ca_street_number#36, ca_street_name#37, ca_street_type#38, ca_suite_number#39, ca_city#40, ca_county#41, ca_state#42, ca_zip#43, ca_country#44, ca_gmt_offset#45, ca_location_type#46] -Arguments: [ca_address_sk#35, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52], [ca_address_sk#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_number#36, 10, true, false, true) AS ca_street_number#47, ca_street_name#37, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_type#38, 15, true, false, true) AS ca_street_type#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_suite_number#39, 10, true, false, true) AS ca_suite_number#49, ca_city#40, ca_county#41, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#42, 2, true, false, true) AS ca_state#50, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_zip#43, 10, true, false, true) AS ca_zip#51, ca_country#44, ca_gmt_offset#45, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_location_type#46, 20, true, false, true) AS ca_location_type#52] +(45) CometProject +Input [12]: [ca_address_sk#31, ca_street_number#32, ca_street_name#33, ca_street_type#34, ca_suite_number#35, ca_city#36, ca_county#37, ca_state#38, ca_zip#39, ca_country#40, ca_gmt_offset#41, ca_location_type#42] +Arguments: [ca_address_sk#31, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48], [ca_address_sk#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_number#32, 10, true, false, true) AS ca_street_number#43, ca_street_name#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_type#34, 15, true, false, true) AS ca_street_type#44, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_suite_number#35, 10, true, false, true) AS ca_suite_number#45, ca_city#36, ca_county#37, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#38, 2, true, false, true) AS ca_state#46, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_zip#39, 10, true, false, true) AS ca_zip#47, ca_country#40, ca_gmt_offset#41, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_location_type#42, 20, true, false, true) AS ca_location_type#48] -(50) CometColumnarToRow [codegen id : 10] -Input [12]: [ca_address_sk#35, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52] +(46) CometBroadcastExchange +Input [12]: [ca_address_sk#31, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48] +Arguments: [ca_address_sk#31, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48] -(51) BroadcastExchange -Input [12]: [ca_address_sk#35, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [6]: [ctr_total_return#14, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30] +Right output [12]: [ca_address_sk#31, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48] +Arguments: [c_current_addr_sk#23], [ca_address_sk#31], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#27] -Right keys [1]: [ca_address_sk#35] -Join type: Inner -Join condition: None +(48) CometProject +Input [18]: [ctr_total_return#14, c_customer_id#27, c_current_addr_sk#23, c_salutation#28, c_first_name#29, c_last_name#30, ca_address_sk#31, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48] +Arguments: [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14], [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [16]: [c_customer_id#31, c_salutation#32, c_first_name#33, c_last_name#34, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52, ctr_total_return#15] -Input [18]: [ctr_total_return#15, c_customer_id#31, c_current_addr_sk#27, c_salutation#32, c_first_name#33, c_last_name#34, ca_address_sk#35, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52] +(49) CometTakeOrderedAndProject +Input [16]: [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#27 ASC NULLS FIRST,c_salutation#28 ASC NULLS FIRST,c_first_name#29 ASC NULLS FIRST,c_last_name#30 ASC NULLS FIRST,ca_street_number#43 ASC NULLS FIRST,ca_street_name#33 ASC NULLS FIRST,ca_street_type#44 ASC NULLS FIRST,ca_suite_number#45 ASC NULLS FIRST,ca_city#36 ASC NULLS FIRST,ca_county#37 ASC NULLS FIRST,ca_state#46 ASC NULLS FIRST,ca_zip#47 ASC NULLS FIRST,ca_country#40 ASC NULLS FIRST,ca_gmt_offset#41 ASC NULLS FIRST,ca_location_type#48 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#27,c_salutation#28,c_first_name#29,c_last_name#30,ca_street_number#43,ca_street_name#33,ca_street_type#44,ca_suite_number#45,ca_city#36,ca_county#37,ca_state#46,ca_zip#47,ca_country#40,ca_gmt_offset#41,ca_location_type#48,ctr_total_return#14]), [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14], 100, 0, [c_customer_id#27 ASC NULLS FIRST, c_salutation#28 ASC NULLS FIRST, c_first_name#29 ASC NULLS FIRST, c_last_name#30 ASC NULLS FIRST, ca_street_number#43 ASC NULLS FIRST, ca_street_name#33 ASC NULLS FIRST, ca_street_type#44 ASC NULLS FIRST, ca_suite_number#45 ASC NULLS FIRST, ca_city#36 ASC NULLS FIRST, ca_county#37 ASC NULLS FIRST, ca_state#46 ASC NULLS FIRST, ca_zip#47 ASC NULLS FIRST, ca_country#40 ASC NULLS FIRST, ca_gmt_offset#41 ASC NULLS FIRST, ca_location_type#48 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [16]: [c_customer_id#31, c_salutation#32, c_first_name#33, c_last_name#34, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52, ctr_total_return#15] -Arguments: 100, [c_customer_id#31 ASC NULLS FIRST, c_salutation#32 ASC NULLS FIRST, c_first_name#33 ASC NULLS FIRST, c_last_name#34 ASC NULLS FIRST, ca_street_number#47 ASC NULLS FIRST, ca_street_name#37 ASC NULLS FIRST, ca_street_type#48 ASC NULLS FIRST, ca_suite_number#49 ASC NULLS FIRST, ca_city#40 ASC NULLS FIRST, ca_county#41 ASC NULLS FIRST, ca_state#50 ASC NULLS FIRST, ca_zip#51 ASC NULLS FIRST, ca_country#44 ASC NULLS FIRST, ca_gmt_offset#45 ASC NULLS FIRST, ca_location_type#52 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#31, c_salutation#32, c_first_name#33, c_last_name#34, ca_street_number#47, ca_street_name#37, ca_street_type#48, ca_suite_number#49, ca_city#40, ca_county#41, ca_state#50, ca_zip#51, ca_country#44, ca_gmt_offset#45, ca_location_type#52, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [16]: [c_customer_id#27, c_salutation#28, c_first_name#29, c_last_name#30, ca_street_number#43, ca_street_name#33, ca_street_type#44, ca_suite_number#45, ca_city#36, ca_county#37, ca_state#46, ca_zip#47, ca_country#40, ca_gmt_offset#41, ca_location_type#48, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#53] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#49] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#53] -Condition : ((isnotnull(d_year#53) AND (d_year#53 = 2000)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#49] +Condition : ((isnotnull(d_year#49) AND (d_year#49 = 2000)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#53] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#49] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/extended.txt index 0e70ec42fa..cf6ffd404c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/simplified.txt index af74a164cc..dbfd26a8f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q81.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,cr_returning_customer_sk,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] CometColumnarExchange [cr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_st CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),ctr_state,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] - Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] - BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] - Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Filter [cr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return),ctr_state] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [cr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] + CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] + Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] + BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] + Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Filter [cr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] #8 + CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/explain.txt index 8af6504881..68d1a25e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (50) -+- * Project (49) - +- * BroadcastHashJoin Inner BuildRight (48) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (31) - : +- * HashAggregate (30) - : +- * CometColumnarToRow (29) - : +- CometColumnarExchange (28) - : +- * HashAggregate (27) - : +- * Project (26) - : +- * BroadcastHashJoin Inner BuildRight (25) - : :- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Filter (20) - : : : +- * ColumnarToRow (19) - : : : +- Scan parquet spark_catalog.default.catalog_returns (18) - : : +- ReusedExchange (21) - : +- ReusedExchange (24) - +- BroadcastExchange (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (39) - : +- * BroadcastHashJoin Inner BuildRight (38) - : :- * Filter (36) - : : +- * ColumnarToRow (35) - : : +- Scan parquet spark_catalog.default.web_returns (34) - : +- ReusedExchange (37) - +- ReusedExchange (40) +* CometColumnarToRow (48) ++- CometTakeOrderedAndProject (47) + +- CometProject (46) + +- CometBroadcastHashJoin (45) + :- CometProject (31) + : +- CometBroadcastHashJoin (30) + : :- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (29) + : +- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Filter (19) + : : : +- * ColumnarToRow (18) + : : : +- Scan parquet spark_catalog.default.catalog_returns (17) + : : +- ReusedExchange (20) + : +- ReusedExchange (23) + +- CometBroadcastExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * Filter (34) + : : +- * ColumnarToRow (33) + : : +- Scan parquet spark_catalog.default.web_returns (32) + : +- ReusedExchange (35) + +- ReusedExchange (38) (1) Scan parquet spark_catalog.default.store_returns @@ -98,7 +96,7 @@ Join condition: None Output [3]: [sr_return_quantity#2, sr_returned_date_sk#3, i_item_id#7] Input [5]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 64] +(11) ReusedExchange [Reuses operator id: 62] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -122,318 +120,304 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(sr_return_quantity#2)] -Aggregate Attributes [1]: [sum(sr_return_quantity#2)#11] -Results [2]: [i_item_id#7 AS item_id#12, sum(sr_return_quantity#2)#11 AS sr_item_qty#13] -(18) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(17) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#16), dynamicpruningexpression(cr_returned_date_sk#16 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(cr_returned_date_sk#13), dynamicpruningexpression(cr_returned_date_sk#13 IN dynamicpruning#14)] PushedFilters: [IsNotNull(cr_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] -(20) Filter [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] -Condition : isnotnull(cr_item_sk#14) +(19) Filter [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] +Condition : isnotnull(cr_item_sk#11) -(21) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#18, i_item_id#19] +(20) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#15, i_item_id#16] -(22) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_item_sk#14] -Right keys [1]: [i_item_sk#18] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_item_sk#11] +Right keys [1]: [i_item_sk#15] Join type: Inner Join condition: None -(23) Project [codegen id : 6] -Output [3]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#19] -Input [5]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16, i_item_sk#18, i_item_id#19] - -(24) ReusedExchange [Reuses operator id: 75] -Output [1]: [d_date_sk#20] +(22) Project [codegen id : 6] +Output [3]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#16] +Input [5]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13, i_item_sk#15, i_item_id#16] -(25) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returned_date_sk#16] -Right keys [1]: [d_date_sk#20] -Join type: Inner -Join condition: None +(23) ReusedExchange [Reuses operator id: 73] +Output [1]: [d_date_sk#17] -(26) Project [codegen id : 6] -Output [2]: [cr_return_quantity#15, i_item_id#19] -Input [4]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#19, d_date_sk#20] - -(27) HashAggregate [codegen id : 6] -Input [2]: [cr_return_quantity#15, i_item_id#19] -Keys [1]: [i_item_id#19] -Functions [1]: [partial_sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum#21] -Results [2]: [i_item_id#19, sum#22] - -(28) CometColumnarExchange -Input [2]: [i_item_id#19, sum#22] -Arguments: hashpartitioning(i_item_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(29) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#19, sum#22] - -(30) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#19, sum#22] -Keys [1]: [i_item_id#19] -Functions [1]: [sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum(cr_return_quantity#15)#23] -Results [2]: [i_item_id#19 AS item_id#24, sum(cr_return_quantity#15)#23 AS cr_item_qty#25] - -(31) BroadcastExchange -Input [2]: [item_id#24, cr_item_qty#25] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(32) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#24] +(24) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returned_date_sk#13] +Right keys [1]: [d_date_sk#17] Join type: Inner Join condition: None -(33) Project [codegen id : 12] -Output [3]: [item_id#12, sr_item_qty#13, cr_item_qty#25] -Input [4]: [item_id#12, sr_item_qty#13, item_id#24, cr_item_qty#25] - -(34) Scan parquet spark_catalog.default.web_returns -Output [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28] +(25) Project [codegen id : 6] +Output [2]: [cr_return_quantity#12, i_item_id#16] +Input [4]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#16, d_date_sk#17] + +(26) HashAggregate [codegen id : 6] +Input [2]: [cr_return_quantity#12, i_item_id#16] +Keys [1]: [i_item_id#16] +Functions [1]: [partial_sum(cr_return_quantity#12)] +Aggregate Attributes [1]: [sum#18] +Results [2]: [i_item_id#16, sum#19] + +(27) CometColumnarExchange +Input [2]: [i_item_id#16, sum#19] +Arguments: hashpartitioning(i_item_id#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(28) CometHashAggregate +Input [2]: [i_item_id#16, sum#19] +Keys [1]: [i_item_id#16] +Functions [1]: [sum(cr_return_quantity#12)] + +(29) CometBroadcastExchange +Input [2]: [item_id#20, cr_item_qty#21] +Arguments: [item_id#20, cr_item_qty#21] + +(30) CometBroadcastHashJoin +Left output [2]: [item_id#22, sr_item_qty#23] +Right output [2]: [item_id#20, cr_item_qty#21] +Arguments: [item_id#22], [item_id#20], Inner, BuildRight + +(31) CometProject +Input [4]: [item_id#22, sr_item_qty#23, item_id#20, cr_item_qty#21] +Arguments: [item_id#22, sr_item_qty#23, cr_item_qty#21], [item_id#22, sr_item_qty#23, cr_item_qty#21] + +(32) Scan parquet spark_catalog.default.web_returns +Output [3]: [wr_item_sk#24, wr_return_quantity#25, wr_returned_date_sk#26] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#28), dynamicpruningexpression(wr_returned_date_sk#28 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(wr_returned_date_sk#26), dynamicpruningexpression(wr_returned_date_sk#26 IN dynamicpruning#14)] PushedFilters: [IsNotNull(wr_item_sk)] ReadSchema: struct -(35) ColumnarToRow [codegen id : 10] -Input [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28] +(33) ColumnarToRow [codegen id : 9] +Input [3]: [wr_item_sk#24, wr_return_quantity#25, wr_returned_date_sk#26] -(36) Filter [codegen id : 10] -Input [3]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28] -Condition : isnotnull(wr_item_sk#26) +(34) Filter [codegen id : 9] +Input [3]: [wr_item_sk#24, wr_return_quantity#25, wr_returned_date_sk#26] +Condition : isnotnull(wr_item_sk#24) -(37) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#29, i_item_id#30] +(35) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#27, i_item_id#28] -(38) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_item_sk#26] -Right keys [1]: [i_item_sk#29] +(36) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_item_sk#24] +Right keys [1]: [i_item_sk#27] Join type: Inner Join condition: None -(39) Project [codegen id : 10] -Output [3]: [wr_return_quantity#27, wr_returned_date_sk#28, i_item_id#30] -Input [5]: [wr_item_sk#26, wr_return_quantity#27, wr_returned_date_sk#28, i_item_sk#29, i_item_id#30] +(37) Project [codegen id : 9] +Output [3]: [wr_return_quantity#25, wr_returned_date_sk#26, i_item_id#28] +Input [5]: [wr_item_sk#24, wr_return_quantity#25, wr_returned_date_sk#26, i_item_sk#27, i_item_id#28] -(40) ReusedExchange [Reuses operator id: 75] -Output [1]: [d_date_sk#31] +(38) ReusedExchange [Reuses operator id: 73] +Output [1]: [d_date_sk#29] -(41) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_returned_date_sk#28] -Right keys [1]: [d_date_sk#31] +(39) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_returned_date_sk#26] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(42) Project [codegen id : 10] -Output [2]: [wr_return_quantity#27, i_item_id#30] -Input [4]: [wr_return_quantity#27, wr_returned_date_sk#28, i_item_id#30, d_date_sk#31] - -(43) HashAggregate [codegen id : 10] -Input [2]: [wr_return_quantity#27, i_item_id#30] -Keys [1]: [i_item_id#30] -Functions [1]: [partial_sum(wr_return_quantity#27)] -Aggregate Attributes [1]: [sum#32] -Results [2]: [i_item_id#30, sum#33] - -(44) CometColumnarExchange -Input [2]: [i_item_id#30, sum#33] -Arguments: hashpartitioning(i_item_id#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(45) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#30, sum#33] - -(46) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#30, sum#33] -Keys [1]: [i_item_id#30] -Functions [1]: [sum(wr_return_quantity#27)] -Aggregate Attributes [1]: [sum(wr_return_quantity#27)#34] -Results [2]: [i_item_id#30 AS item_id#35, sum(wr_return_quantity#27)#34 AS wr_item_qty#36] - -(47) BroadcastExchange -Input [2]: [item_id#35, wr_item_qty#36] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(48) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#35] -Join type: Inner -Join condition: None +(40) Project [codegen id : 9] +Output [2]: [wr_return_quantity#25, i_item_id#28] +Input [4]: [wr_return_quantity#25, wr_returned_date_sk#26, i_item_id#28, d_date_sk#29] -(49) Project [codegen id : 12] -Output [8]: [item_id#12, sr_item_qty#13, (((cast(sr_item_qty#13 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS sr_dev#37, cr_item_qty#25, (((cast(cr_item_qty#25 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS cr_dev#38, wr_item_qty#36, (((cast(wr_item_qty#36 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as double)))) / 3.0) * 100.0) AS wr_dev#39, (cast(((sr_item_qty#13 + cr_item_qty#25) + wr_item_qty#36) as decimal(20,0)) / 3.0) AS average#40] -Input [5]: [item_id#12, sr_item_qty#13, cr_item_qty#25, item_id#35, wr_item_qty#36] +(41) HashAggregate [codegen id : 9] +Input [2]: [wr_return_quantity#25, i_item_id#28] +Keys [1]: [i_item_id#28] +Functions [1]: [partial_sum(wr_return_quantity#25)] +Aggregate Attributes [1]: [sum#30] +Results [2]: [i_item_id#28, sum#31] -(50) TakeOrderedAndProject -Input [8]: [item_id#12, sr_item_qty#13, sr_dev#37, cr_item_qty#25, cr_dev#38, wr_item_qty#36, wr_dev#39, average#40] -Arguments: 100, [item_id#12 ASC NULLS FIRST, sr_item_qty#13 ASC NULLS FIRST], [item_id#12, sr_item_qty#13, sr_dev#37, cr_item_qty#25, cr_dev#38, wr_item_qty#36, wr_dev#39, average#40] +(42) CometColumnarExchange +Input [2]: [i_item_id#28, sum#31] +Arguments: hashpartitioning(i_item_id#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(43) CometHashAggregate +Input [2]: [i_item_id#28, sum#31] +Keys [1]: [i_item_id#28] +Functions [1]: [sum(wr_return_quantity#25)] -Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (64) -+- * CometColumnarToRow (63) - +- CometProject (62) - +- CometBroadcastHashJoin (61) - :- CometFilter (52) - : +- CometNativeScan parquet spark_catalog.default.date_dim (51) - +- CometBroadcastExchange (60) - +- CometProject (59) - +- CometBroadcastHashJoin (58) - :- CometNativeScan parquet spark_catalog.default.date_dim (53) - +- CometBroadcastExchange (57) - +- CometProject (56) - +- CometFilter (55) - +- CometNativeScan parquet spark_catalog.default.date_dim (54) +(44) CometBroadcastExchange +Input [2]: [item_id#32, wr_item_qty#33] +Arguments: [item_id#32, wr_item_qty#33] +(45) CometBroadcastHashJoin +Left output [3]: [item_id#22, sr_item_qty#23, cr_item_qty#21] +Right output [2]: [item_id#32, wr_item_qty#33] +Arguments: [item_id#22], [item_id#32], Inner, BuildRight -(51) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#41] +(46) CometProject +Input [5]: [item_id#22, sr_item_qty#23, cr_item_qty#21, item_id#32, wr_item_qty#33] +Arguments: [item_id#22, sr_item_qty#23, sr_dev#34, cr_item_qty#21, cr_dev#35, wr_item_qty#33, wr_dev#36, average#37], [item_id#22, sr_item_qty#23, (((cast(sr_item_qty#23 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#23 + cr_item_qty#21) + wr_item_qty#33) as double)))) / 3.0) * 100.0) AS sr_dev#34, cr_item_qty#21, (((cast(cr_item_qty#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#23 + cr_item_qty#21) + wr_item_qty#33) as double)))) / 3.0) * 100.0) AS cr_dev#35, wr_item_qty#33, (((cast(wr_item_qty#33 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#23 + cr_item_qty#21) + wr_item_qty#33) as double)))) / 3.0) * 100.0) AS wr_dev#36, (cast(((sr_item_qty#23 + cr_item_qty#21) + wr_item_qty#33) as decimal(20,0)) / 3.0) AS average#37] + +(47) CometTakeOrderedAndProject +Input [8]: [item_id#22, sr_item_qty#23, sr_dev#34, cr_item_qty#21, cr_dev#35, wr_item_qty#33, wr_dev#36, average#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#22 ASC NULLS FIRST,sr_item_qty#23 ASC NULLS FIRST], output=[item_id#22,sr_item_qty#23,sr_dev#34,cr_item_qty#21,cr_dev#35,wr_item_qty#33,wr_dev#36,average#37]), [item_id#22, sr_item_qty#23, sr_dev#34, cr_item_qty#21, cr_dev#35, wr_item_qty#33, wr_dev#36, average#37], 100, 0, [item_id#22 ASC NULLS FIRST, sr_item_qty#23 ASC NULLS FIRST], [item_id#22, sr_item_qty#23, sr_dev#34, cr_item_qty#21, cr_dev#35, wr_item_qty#33, wr_dev#36, average#37] + +(48) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#22, sr_item_qty#23, sr_dev#34, cr_item_qty#21, cr_dev#35, wr_item_qty#33, wr_dev#36, average#37] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (62) ++- * CometColumnarToRow (61) + +- CometProject (60) + +- CometBroadcastHashJoin (59) + :- CometFilter (50) + : +- CometNativeScan parquet spark_catalog.default.date_dim (49) + +- CometBroadcastExchange (58) + +- CometProject (57) + +- CometBroadcastHashJoin (56) + :- CometNativeScan parquet spark_catalog.default.date_dim (51) + +- CometBroadcastExchange (55) + +- CometProject (54) + +- CometFilter (53) + +- CometNativeScan parquet spark_catalog.default.date_dim (52) + + +(49) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(52) CometFilter -Input [2]: [d_date_sk#8, d_date#41] +(50) CometFilter +Input [2]: [d_date_sk#8, d_date#38] Condition : isnotnull(d_date_sk#8) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : cast(d_date#41 as string) IN (2000-06-30,2000-09-27,2000-11-17) +(53) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : cast(d_date#38 as string) IN (2000-06-30,2000-09-27,2000-11-17) -(56) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_week_seq#42#43], [d_week_seq#42 AS d_week_seq#42#43] +(54) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_week_seq#39#40], [d_week_seq#39 AS d_week_seq#39#40] -(57) CometBroadcastExchange -Input [1]: [d_week_seq#42#43] -Arguments: [d_week_seq#42#43] +(55) CometBroadcastExchange +Input [1]: [d_week_seq#39#40] +Arguments: [d_week_seq#39#40] -(58) CometBroadcastHashJoin -Left output [2]: [d_date#41, d_week_seq#42] -Right output [1]: [d_week_seq#42#43] -Arguments: [d_week_seq#42], [d_week_seq#42#43], LeftSemi, BuildRight +(56) CometBroadcastHashJoin +Left output [2]: [d_date#38, d_week_seq#39] +Right output [1]: [d_week_seq#39#40] +Arguments: [d_week_seq#39], [d_week_seq#39#40], LeftSemi, BuildRight -(59) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41#44], [d_date#41 AS d_date#41#44] +(57) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38#41], [d_date#38 AS d_date#38#41] -(60) CometBroadcastExchange -Input [1]: [d_date#41#44] -Arguments: [d_date#41#44] +(58) CometBroadcastExchange +Input [1]: [d_date#38#41] +Arguments: [d_date#38#41] -(61) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#41] -Right output [1]: [d_date#41#44] -Arguments: [d_date#41], [d_date#41#44], LeftSemi, BuildRight +(59) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#38] +Right output [1]: [d_date#38#41] +Arguments: [d_date#38], [d_date#38#41], LeftSemi, BuildRight -(62) CometProject -Input [2]: [d_date_sk#8, d_date#41] +(60) CometProject +Input [2]: [d_date_sk#8, d_date#38] Arguments: [d_date_sk#8], [d_date_sk#8] -(63) CometColumnarToRow [codegen id : 1] +(61) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(64) BroadcastExchange +(62) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] - -Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#16 IN dynamicpruning#17 -BroadcastExchange (75) -+- * CometColumnarToRow (74) - +- CometProject (73) - +- CometBroadcastHashJoin (72) - :- CometFilter (66) - : +- CometNativeScan parquet spark_catalog.default.date_dim (65) - +- CometBroadcastExchange (71) - +- CometProject (70) - +- CometBroadcastHashJoin (69) - :- CometNativeScan parquet spark_catalog.default.date_dim (67) - +- ReusedExchange (68) - - -(65) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#20, d_date#45] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] + +Subquery:2 Hosting operator id = 17 Hosting Expression = cr_returned_date_sk#13 IN dynamicpruning#14 +BroadcastExchange (73) ++- * CometColumnarToRow (72) + +- CometProject (71) + +- CometBroadcastHashJoin (70) + :- CometFilter (64) + : +- CometNativeScan parquet spark_catalog.default.date_dim (63) + +- CometBroadcastExchange (69) + +- CometProject (68) + +- CometBroadcastHashJoin (67) + :- CometNativeScan parquet spark_catalog.default.date_dim (65) + +- ReusedExchange (66) + + +(63) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#17, d_date#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(66) CometFilter -Input [2]: [d_date_sk#20, d_date#45] -Condition : isnotnull(d_date_sk#20) +(64) CometFilter +Input [2]: [d_date_sk#17, d_date#42] +Condition : isnotnull(d_date_sk#17) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(68) ReusedExchange [Reuses operator id: 57] -Output [1]: [d_week_seq#42#46] +(66) ReusedExchange [Reuses operator id: 55] +Output [1]: [d_week_seq#39#43] -(69) CometBroadcastHashJoin -Left output [2]: [d_date#41, d_week_seq#42] -Right output [1]: [d_week_seq#42#46] -Arguments: [d_week_seq#42], [d_week_seq#42#46], LeftSemi, BuildRight +(67) CometBroadcastHashJoin +Left output [2]: [d_date#38, d_week_seq#39] +Right output [1]: [d_week_seq#39#43] +Arguments: [d_week_seq#39], [d_week_seq#39#43], LeftSemi, BuildRight -(70) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(68) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(71) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(69) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(72) CometBroadcastHashJoin -Left output [2]: [d_date_sk#20, d_date#45] -Right output [1]: [d_date#41] -Arguments: [d_date#45], [d_date#41], LeftSemi, BuildRight +(70) CometBroadcastHashJoin +Left output [2]: [d_date_sk#17, d_date#42] +Right output [1]: [d_date#38] +Arguments: [d_date#42], [d_date#38], LeftSemi, BuildRight -(73) CometProject -Input [2]: [d_date_sk#20, d_date#45] -Arguments: [d_date_sk#20], [d_date_sk#20] +(71) CometProject +Input [2]: [d_date_sk#17, d_date#42] +Arguments: [d_date_sk#17], [d_date_sk#17] -(74) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#20] +(72) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#17] -(75) BroadcastExchange -Input [1]: [d_date_sk#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(73) BroadcastExchange +Input [1]: [d_date_sk#17] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:3 Hosting operator id = 34 Hosting Expression = wr_returned_date_sk#28 IN dynamicpruning#17 +Subquery:3 Hosting operator id = 32 Hosting Expression = wr_returned_date_sk#26 IN dynamicpruning#14 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/extended.txt index e0024369f8..4faa4dbed2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/extended.txt @@ -1,102 +1,100 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -127,4 +125,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 72 out of 114 eligible operators (63%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 82 out of 114 eligible operators (71%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/simplified.txt index 1e0e8fea70..96d22c0acd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q83.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] - WholeStageCodegen (12) - Project [item_id,sr_item_qty,cr_item_qty,wr_item_qty] - BroadcastHashJoin [item_id,item_id] - Project [item_id,sr_item_qty,cr_item_qty] - BroadcastHashJoin [item_id,item_id] - HashAggregate [i_item_id,sum] [sum(sr_return_quantity),item_id,sr_item_qty,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometBroadcastHashJoin [item_id,sr_item_qty,cr_item_qty,item_id,wr_item_qty] + CometProject [item_id,sr_item_qty,cr_item_qty] + CometBroadcastHashJoin [item_id,sr_item_qty,item_id,cr_item_qty] + CometHashAggregate [sum] [item_id,sr_item_qty,i_item_id,sum(sr_return_quantity)] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,sr_return_quantity] [sum,sum] @@ -45,60 +45,52 @@ TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [i_item_id,sum] [sum(cr_return_quantity),item_id,cr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (6) - HashAggregate [i_item_id,cr_return_quantity] [sum,sum] - Project [cr_return_quantity,i_item_id] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cr_return_quantity,cr_returned_date_sk,i_item_id] - BroadcastHashJoin [cr_item_sk,i_item_sk] - Filter [cr_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometBroadcastHashJoin [d_date_sk,d_date,d_date] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date] #9 - CometProject [d_date] - CometBroadcastHashJoin [d_date,d_week_seq,d_week_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date,d_week_seq] - ReusedExchange [d_week_seq] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (11) - HashAggregate [i_item_id,sum] [sum(wr_return_quantity),item_id,wr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #11 - WholeStageCodegen (10) - HashAggregate [i_item_id,wr_return_quantity] [sum,sum] - Project [wr_return_quantity,i_item_id] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Project [wr_return_quantity,wr_returned_date_sk,i_item_id] - BroadcastHashJoin [wr_item_sk,i_item_sk] - Filter [wr_item_sk] + CometBroadcastExchange [item_id,cr_item_qty] #6 + CometHashAggregate [sum] [item_id,cr_item_qty,i_item_id,sum(cr_return_quantity)] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (6) + HashAggregate [i_item_id,cr_return_quantity] [sum,sum] + Project [cr_return_quantity,i_item_id] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cr_return_quantity,cr_returned_date_sk,i_item_id] + BroadcastHashJoin [cr_item_sk,i_item_sk] + Filter [cr_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #2 + Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometBroadcastHashJoin [d_date_sk,d_date,d_date] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date] #9 + CometProject [d_date] + CometBroadcastHashJoin [d_date,d_week_seq,d_week_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date,d_week_seq] + ReusedExchange [d_week_seq] #4 InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 InputAdapter ReusedExchange [d_date_sk] #8 + CometBroadcastExchange [item_id,wr_item_qty] #10 + CometHashAggregate [sum] [item_id,wr_item_qty,i_item_id,sum(wr_return_quantity)] + CometColumnarExchange [i_item_id] #11 + WholeStageCodegen (9) + HashAggregate [i_item_id,wr_return_quantity] [sum,sum] + Project [wr_return_quantity,i_item_id] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Project [wr_return_quantity,wr_returned_date_sk,i_item_id] + BroadcastHashJoin [wr_item_sk,i_item_sk] + Filter [wr_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + InputAdapter + ReusedExchange [d_date_sk] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/explain.txt index 204cd4ea7a..3ff5850faa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (52) -+- * HashAggregate (51) - +- * CometColumnarToRow (50) +* CometColumnarToRow (52) ++- CometTakeOrderedAndProject (51) + +- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -280,19 +280,17 @@ Results [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, coun Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Arguments: hashpartitioning(r_reason_desc#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(50) CometColumnarToRow [codegen id : 9] -Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] - -(51) HashAggregate [codegen id : 9] +(50) CometHashAggregate Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Keys [1]: [r_reason_desc#36] Functions [3]: [avg(ws_quantity#4), avg(UnscaledValue(wr_refunded_cash#16)), avg(UnscaledValue(wr_fee#15))] -Aggregate Attributes [3]: [avg(ws_quantity#4)#49, avg(UnscaledValue(wr_refunded_cash#16))#50, avg(UnscaledValue(wr_fee#15))#51] -Results [4]: [substr(r_reason_desc#36, 1, 20) AS substr(r_reason_desc, 1, 20)#52, avg(ws_quantity#4)#49 AS avg(ws_quantity)#53, cast((avg(UnscaledValue(wr_refunded_cash#16))#50 / 100.0) as decimal(11,6)) AS avg(wr_refunded_cash)#54, cast((avg(UnscaledValue(wr_fee#15))#51 / 100.0) as decimal(11,6)) AS avg(wr_fee)#55] -(52) TakeOrderedAndProject -Input [4]: [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] -Arguments: 100, [substr(r_reason_desc, 1, 20)#52 ASC NULLS FIRST, avg(ws_quantity)#53 ASC NULLS FIRST, avg(wr_refunded_cash)#54 ASC NULLS FIRST, avg(wr_fee)#55 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] +(51) CometTakeOrderedAndProject +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST,avg(ws_quantity)#50 ASC NULLS FIRST,avg(wr_refunded_cash)#51 ASC NULLS FIRST,avg(wr_fee)#52 ASC NULLS FIRST], output=[substr(r_reason_desc, 1, 20)#49,avg(ws_quantity)#50,avg(wr_refunded_cash)#51,avg(wr_fee)#52]), [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52], 100, 0, [substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST, avg(ws_quantity)#50 ASC NULLS FIRST, avg(wr_refunded_cash)#51 ASC NULLS FIRST, avg(wr_fee)#52 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] + +(52) CometColumnarToRow [codegen id : 9] +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] ===== Subqueries ===== @@ -305,18 +303,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#33, d_year#56] +Output [2]: [d_date_sk#33, d_year#53] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [2]: [d_date_sk#33, d_year#56] -Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2000)) AND isnotnull(d_date_sk#33)) +Input [2]: [d_date_sk#33, d_year#53] +Condition : ((isnotnull(d_year#53) AND (d_year#53 = 2000)) AND isnotnull(d_date_sk#33)) (55) CometProject -Input [2]: [d_date_sk#33, d_year#56] +Input [2]: [d_date_sk#33, d_year#53] Arguments: [d_date_sk#33], [d_date_sk#33] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/extended.txt index 7f8b90a86c..48f7ff9477 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -61,4 +61,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.reason -Comet accelerated 24 out of 52 eligible operators (46%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 26 out of 52 eligible operators (50%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/simplified.txt index 68d46e608d..67f1e8c2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q85.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] - WholeStageCodegen (9) - HashAggregate [r_reason_desc,sum,count,sum,count,sum,count] [avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee)),substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] + CometHashAggregate [sum,count,sum,count,sum,count] [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),r_reason_desc,avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee))] CometColumnarExchange [r_reason_desc] #1 WholeStageCodegen (8) HashAggregate [r_reason_desc,ws_quantity,wr_refunded_cash,wr_fee] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/explain.txt index 3f745e99c5..1dad009b41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/explain.txt @@ -1,28 +1,27 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * Project (23) - +- Window (22) - +- * CometColumnarToRow (21) - +- CometSort (20) - +- CometColumnarExchange (19) - +- * HashAggregate (18) - +- * CometColumnarToRow (17) - +- CometColumnarExchange (16) - +- * HashAggregate (15) - +- * Expand (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (11) - +- * CometColumnarToRow (10) - +- CometProject (9) - +- CometFilter (8) - +- CometNativeScan parquet spark_catalog.default.item (7) +TakeOrderedAndProject (23) ++- * Project (22) + +- Window (21) + +- * CometColumnarToRow (20) + +- CometSort (19) + +- CometExchange (18) + +- CometHashAggregate (17) + +- CometColumnarExchange (16) + +- * HashAggregate (15) + +- * Expand (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (11) + +- * CometColumnarToRow (10) + +- CometProject (9) + +- CometFilter (8) + +- CometNativeScan parquet spark_catalog.default.item (7) (1) Scan parquet spark_catalog.default.web_sales @@ -40,7 +39,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 29] +(4) ReusedExchange [Reuses operator id: 28] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -100,68 +99,63 @@ Results [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Arguments: hashpartitioning(i_category#11, i_class#12, spark_grouping_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Keys [3]: [i_category#11, i_class#12, spark_grouping_id#13] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#16] -Results [7]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS total_sum#17, i_category#11, i_class#12, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS lochierarchy#18, MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS _w0#19, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS _w1#20, CASE WHEN (cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint) = 0) THEN i_category#11 END AS _w2#21] -(19) CometColumnarExchange -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: hashpartitioning(_w1#20, _w2#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: hashpartitioning(_w1#19, _w2#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21], [_w1#20 ASC NULLS FIRST, _w2#21 ASC NULLS FIRST, _w0#19 DESC NULLS LAST] +(19) CometSort +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20], [_w1#19 ASC NULLS FIRST, _w2#20 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] -(21) CometColumnarToRow [codegen id : 5] -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] +(20) CometColumnarToRow [codegen id : 4] +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] -(22) Window -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [rank(_w0#19) windowspecdefinition(_w1#20, _w2#21, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#22], [_w1#20, _w2#21], [_w0#19 DESC NULLS LAST] +(21) Window +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [rank(_w0#18) windowspecdefinition(_w1#19, _w2#20, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#21], [_w1#19, _w2#20], [_w0#18 DESC NULLS LAST] -(23) Project [codegen id : 6] -Output [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Input [8]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21, rank_within_parent#22] +(22) Project [codegen id : 5] +Output [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Input [8]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20, rank_within_parent#21] -(24) TakeOrderedAndProject -Input [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Arguments: 100, [lochierarchy#18 DESC NULLS LAST, CASE WHEN (lochierarchy#18 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#22 ASC NULLS FIRST], [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] +(23) TakeOrderedAndProject +Input [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Arguments: 100, [lochierarchy#17 DESC NULLS LAST, CASE WHEN (lochierarchy#17 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#21 ASC NULLS FIRST], [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (29) -+- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.date_dim (25) +BroadcastExchange (28) ++- * CometColumnarToRow (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.date_dim (24) -(25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#23] +(24) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#23] -Condition : (((isnotnull(d_month_seq#23) AND (d_month_seq#23 >= 1200)) AND (d_month_seq#23 <= 1211)) AND isnotnull(d_date_sk#5)) +(25) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#22] +Condition : (((isnotnull(d_month_seq#22) AND (d_month_seq#22 >= 1200)) AND (d_month_seq#22 <= 1211)) AND isnotnull(d_date_sk#5)) -(27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#23] +(26) CometProject +Input [2]: [d_date_sk#5, d_month_seq#22] Arguments: [d_date_sk#5], [d_date_sk#5] -(28) CometColumnarToRow [codegen id : 1] +(27) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(29) BroadcastExchange +(28) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/extended.txt index 41081debd9..159a2b1c71 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/extended.txt @@ -3,34 +3,33 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/simplified.txt index 0b24fe234a..0805c3bdab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q86.native_datafusion/simplified.txt @@ -1,44 +1,41 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] - Expand [ws_net_paid,i_category,i_class] - Project [ws_net_paid,i_category,i_class] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ws_net_paid)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] + Expand [ws_net_paid,i_category,i_class] + Project [ws_net_paid,i_category,i_class] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/explain.txt index b3086b072a..9d0d97f41a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (52) -+- * CometColumnarToRow (51) +* CometColumnarToRow (52) ++- CometHashAggregate (51) +- CometColumnarExchange (50) +- * HashAggregate (49) +- * Project (48) @@ -287,15 +287,13 @@ Results [1]: [count#26] Input [1]: [count#26] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(51) CometColumnarToRow [codegen id : 13] -Input [1]: [count#26] - -(52) HashAggregate [codegen id : 13] +(51) CometHashAggregate Input [1]: [count#26] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#27] -Results [1]: [count(1)#27 AS count(1)#28] + +(52) CometColumnarToRow [codegen id : 13] +Input [1]: [count(1)#27] ===== Subqueries ===== @@ -308,18 +306,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Output [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] -Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1200)) AND (d_month_seq#29 <= 1211)) AND isnotnull(d_date_sk#4)) +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#4)) (55) CometProject -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Arguments: [d_date_sk#4, d_date#5], [d_date_sk#4, d_date#5] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/extended.txt index 638b8865e0..9b20e869dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -79,4 +79,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 28 out of 66 eligible operators (42%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 29 out of 66 eligible operators (43%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/simplified.txt index afc302e779..48bc403f08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (13) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (12) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/explain.txt index fc6b12b834..15e66dceb7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87.native_iceberg_compat/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/explain.txt index fc6b12b834..15e66dceb7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q87/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/explain.txt index 56583c6d26..7be79c0f50 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [6]: [i_brand#5, i_class#6, i_category#7, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] Input [8]: [i_item_sk#1, i_brand#5, i_class#6, i_category#7, ss_item_sk#8, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#13, d_moy#14] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_nam Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Arguments: hashpartitioning(i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Keys [6]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14] Functions [1]: [sum(UnscaledValue(ss_sales_price#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#10))#20] -Results [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] -(27) Window -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] +(26) Window +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] -(28) Filter [codegen id : 7] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN NOT (avg_monthly_sales#23 = 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END +(27) Filter [codegen id : 6] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN NOT (avg_monthly_sales#22 = 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END -(29) Project [codegen id : 7] -Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [(sum_sales#21 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [(sum_sales#20 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#24, d_moy#14] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#23, d_moy#14] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 1999)) AND isnotnull(d_date_sk#13)) +(31) CometFilter +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 1999)) AND isnotnull(d_date_sk#13)) -(33) CometProject -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] +(32) CometProject +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] Arguments: [d_date_sk#13, d_moy#14], [d_date_sk#13, d_moy#14] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#13, d_moy#14] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#13, d_moy#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/simplified.txt index f87ef33db4..1adaffbfe8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q89.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_class,i_brand,s_company_name,d_moy] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] - CometFilter [i_item_sk,i_brand,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] + CometFilter [i_item_sk,i_brand,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/explain.txt index b52840adb9..d9c7cc1c93 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * HashAggregate (44) - +- * CometColumnarToRow (43) - +- CometColumnarExchange (42) - +- * HashAggregate (41) - +- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (19) - : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (10) - : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : :- * CometColumnarToRow (4) - : : : : : : +- CometProject (3) - : : : : : : +- CometFilter (2) - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) - : : : : : +- BroadcastExchange (8) - : : : : : +- * Filter (7) - : : : : : +- * ColumnarToRow (6) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) - : : : : +- ReusedExchange (11) - : : : +- BroadcastExchange (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.customer (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometProject (22) - : : +- CometFilter (21) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) - : +- BroadcastExchange (31) - : +- * CometColumnarToRow (30) - : +- CometProject (29) - : +- CometFilter (28) - : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) - +- BroadcastExchange (38) - +- * CometColumnarToRow (37) - +- CometProject (36) - +- CometFilter (35) - +- CometNativeScan parquet spark_catalog.default.household_demographics (34) +* CometColumnarToRow (46) ++- CometSort (45) + +- CometExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (33) + : +- * BroadcastHashJoin Inner BuildRight (32) + : :- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (19) + : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (10) + : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : :- * CometColumnarToRow (4) + : : : : : : +- CometProject (3) + : : : : : : +- CometFilter (2) + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) + : : : : : +- BroadcastExchange (8) + : : : : : +- * Filter (7) + : : : : : +- * ColumnarToRow (6) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) + : : : : +- ReusedExchange (11) + : : : +- BroadcastExchange (17) + : : : +- * CometColumnarToRow (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.customer (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometProject (22) + : : +- CometFilter (21) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) + : +- BroadcastExchange (31) + : +- * CometColumnarToRow (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) + +- BroadcastExchange (38) + +- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.household_demographics (34) (1) CometNativeScan parquet spark_catalog.default.call_center @@ -95,7 +94,7 @@ Join condition: None Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, cr_returned_date_sk#9] Input [8]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9] -(11) ReusedExchange [Reuses operator id: 52] +(11) ReusedExchange [Reuses operator id: 51] Output [1]: [d_date_sk#11] (12) BroadcastHashJoin [codegen id : 7] @@ -243,56 +242,51 @@ Results [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21 Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Arguments: hashpartitioning(cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22] Functions [1]: [sum(UnscaledValue(cr_net_loss#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_net_loss#8))#27] -Results [4]: [cc_call_center_id#5 AS Call_Center#28, cc_name#3 AS Call_Center_Name#29, cc_manager#4 AS Manager#30, MakeDecimal(sum(UnscaledValue(cr_net_loss#8))#27,17,2) AS Returns_Loss#31] -(45) CometColumnarExchange -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: rangepartitioning(Returns_Loss#31 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(44) CometExchange +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: rangepartitioning(Returns_Loss#30 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(46) CometSort -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31], [Returns_Loss#31 DESC NULLS LAST] +(45) CometSort +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30], [Returns_Loss#30 DESC NULLS LAST] -(47) CometColumnarToRow [codegen id : 9] -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] +(46) CometColumnarToRow [codegen id : 8] +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cr_returned_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (51) ++- * CometColumnarToRow (50) + +- CometProject (49) + +- CometFilter (48) + +- CometNativeScan parquet spark_catalog.default.date_dim (47) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#32, d_moy#33] +(47) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#31, d_moy#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] -Condition : ((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 1998)) AND (d_moy#33 = 11)) AND isnotnull(d_date_sk#11)) +(48) CometFilter +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] +Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 1998)) AND (d_moy#32 = 11)) AND isnotnull(d_date_sk#11)) -(50) CometProject -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] +(49) CometProject +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] Arguments: [d_date_sk#11], [d_date_sk#11] -(51) CometColumnarToRow [codegen id : 1] +(50) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(52) BroadcastExchange +(51) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/extended.txt index 7499c5aafc..f3a14c24b4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/extended.txt @@ -1,59 +1,58 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_demographics + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 47 eligible operators (51%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/simplified.txt index 75fea0ec7f..4cb033c8b5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q91.native_datafusion/simplified.txt @@ -1,77 +1,74 @@ -WholeStageCodegen (9) +WholeStageCodegen (8) CometColumnarToRow InputAdapter CometSort [Call_Center,Call_Center_Name,Manager,Returns_Loss] - CometColumnarExchange [Returns_Loss] #1 - WholeStageCodegen (8) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,sum] [sum(UnscaledValue(cr_net_loss)),Call_Center,Call_Center_Name,Manager,Returns_Loss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 - WholeStageCodegen (7) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] - BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] - CometColumnarToRow - InputAdapter - CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cr_call_center_sk,cr_returning_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) + CometExchange [Returns_Loss] #1 + CometHashAggregate [cd_marital_status,cd_education_status,sum] [Call_Center,Call_Center_Name,Manager,Returns_Loss,cc_call_center_id,cc_name,cc_manager,sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 + WholeStageCodegen (7) + HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] + BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] CometColumnarToRow InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] - CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] - CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] + CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cr_call_center_sk,cr_returning_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] + CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] + CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/explain.txt index 343037a34d..7533dd2e7c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,33 +118,31 @@ Results [3]: [ws_item_sk#7, sum#13, count#14] Input [3]: [ws_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(ws_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [ws_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [ws_item_sk#7, sum#13, count#14] Keys [1]: [ws_item_sk#7] Functions [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(ws_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] +Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [ws_item_sk#7] Join type: Inner -Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#16) +Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [ws_ext_discount_amt#2, ws_sold_date_sk#3] -Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] Output [1]: [d_date_sk#10] @@ -163,22 +161,20 @@ Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#10] Input [1]: [ws_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#17] -Results [1]: [sum#18] +Aggregate Attributes [1]: [sum#16] +Results [1]: [sum#17] (29) CometColumnarExchange -Input [1]: [sum#18] +Input [1]: [sum#17] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#18] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#18] +(30) CometHashAggregate +Input [1]: [sum#17] Keys: [] Functions [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))#19] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_ext_discount_amt#2))#19,17,2) AS Excess Discount Amount #20] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [Excess Discount Amount #18] ===== Subqueries ===== @@ -191,18 +187,18 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_date#21] +Output [2]: [d_date_sk#10, d_date#19] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#10, d_date#21] -Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 2000-01-27)) AND (d_date#21 <= 2000-04-26)) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_date#19] +Condition : (((isnotnull(d_date#19) AND (d_date#19 >= 2000-01-27)) AND (d_date#19 <= 2000-04-26)) AND isnotnull(d_date_sk#10)) (34) CometProject -Input [2]: [d_date_sk#10, d_date#21] +Input [2]: [d_date_sk#10, d_date#19] Arguments: [d_date_sk#10], [d_date_sk#10] (35) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/extended.txt index 2d15266049..10ab7bfa25 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/simplified.txt index 17df728966..c09fd62763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q92.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(ws_ext_discount_amt)),Excess Discount Amount ,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [Excess Discount Amount ,sum(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ws_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(ws_ext_discount_amt))] - HashAggregate [ws_item_sk,sum,count] [avg(UnscaledValue(ws_ext_discount_amt)),(1.3 * avg(ws_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk,avg(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange [ws_item_sk] #5 WholeStageCodegen (3) HashAggregate [ws_item_sk,ws_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/explain.txt index 8263680b2b..d37215dbe7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/explain.txt @@ -1,30 +1,29 @@ == Physical Plan == -* CometColumnarToRow (26) -+- CometProject (25) - +- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (25) ++- CometProject (24) + +- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -74,7 +73,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 31] +(11) ReusedExchange [Reuses operator id: 30] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -98,79 +97,74 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] -(26) CometColumnarToRow [codegen id : 7] -Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(25) CometColumnarToRow [codegen id : 6] +Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (31) -+- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.date_dim (27) +BroadcastExchange (30) ++- * CometColumnarToRow (29) + +- CometProject (28) + +- CometFilter (27) + +- CometNativeScan parquet spark_catalog.default.date_dim (26) -(27) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(26) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(28) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(27) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(29) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(28) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(30) CometColumnarToRow [codegen id : 1] +(29) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(31) BroadcastExchange +(30) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/extended.txt index 030031856f..65efb17afb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/extended.txt @@ -6,33 +6,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 29 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 29 eligible operators (55%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/simplified.txt index 3f64b57ffa..b4427ba56f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4/q98.native_datafusion/simplified.txt @@ -1,48 +1,45 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometProject [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio,i_item_id] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/explain.txt index f85c898208..d59ba25ed6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/explain.txt index 02873e35d9..164cca00de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#42] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#42] -Keys: [] -Functions [1]: [partial_avg(netpaid#42)] -Aggregate Attributes [2]: [sum#73, count#74] -Results [2]: [sum#75, count#76] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#75, count#76] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#75, count#76] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#75, count#76] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#41] Keys: [] -Functions [1]: [avg(netpaid#42)] -Aggregate Attributes [1]: [avg(netpaid#42)#77] -Results [1]: [(0.05 * avg(netpaid#42)#77) AS (0.05 * avg(netpaid))#78] +Functions [1]: [partial_avg(netpaid#41)] + +(75) CometExchange +Input [2]: [sum#69, count#70] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#69, count#70] +Keys: [] +Functions [1]: [avg(netpaid#41)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#71] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/explain.txt index 5df7e6870f..ac3ab69b3e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] Arguments: hashpartitioning(ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] Keys [6]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [10]: [count(1), avg(cd_dep_count#24), max(cd_dep_count#24), sum(cd_dep_count#24), avg(cd_dep_employed_count#25), max(cd_dep_employed_count#25), sum(cd_dep_employed_count#25), avg(cd_dep_college_count#26), max(cd_dep_college_count#26), sum(cd_dep_college_count#26)] -Aggregate Attributes [10]: [count(1)#55, avg(cd_dep_count#24)#56, max(cd_dep_count#24)#57, sum(cd_dep_count#24)#58, avg(cd_dep_employed_count#25)#59, max(cd_dep_employed_count#25)#60, sum(cd_dep_employed_count#25)#61, avg(cd_dep_college_count#26)#62, max(cd_dep_college_count#26)#63, sum(cd_dep_college_count#26)#64] -Results [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, count(1)#55 AS cnt1#65, avg(cd_dep_count#24)#56 AS avg(cd_dep_count)#66, max(cd_dep_count#24)#57 AS max(cd_dep_count)#67, sum(cd_dep_count#24)#58 AS sum(cd_dep_count)#68, cd_dep_employed_count#25, count(1)#55 AS cnt2#69, avg(cd_dep_employed_count#25)#59 AS avg(cd_dep_employed_count)#70, max(cd_dep_employed_count#25)#60 AS max(cd_dep_employed_count)#71, sum(cd_dep_employed_count#25)#61 AS sum(cd_dep_employed_count)#72, cd_dep_college_count#26, count(1)#55 AS cnt3#73, avg(cd_dep_college_count#26)#62 AS avg(cd_dep_college_count)#74, max(cd_dep_college_count#26)#63 AS max(cd_dep_college_count)#75, sum(cd_dep_college_count#26)#64 AS sum(cd_dep_college_count)#76] -(47) TakeOrderedAndProject -Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#65, avg(cd_dep_count)#66, max(cd_dep_count)#67, sum(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, avg(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, sum(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, avg(cd_dep_college_count)#74, max(cd_dep_college_count)#75, sum(cd_dep_college_count)#76] -Arguments: 100, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#65, avg(cd_dep_count)#66, max(cd_dep_count)#67, sum(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, avg(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, sum(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, avg(cd_dep_college_count)#74, max(cd_dep_college_count)#75, sum(cd_dep_college_count)#76] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#20 ASC NULLS FIRST,cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[ca_state#20,cd_gender#27,cd_marital_status#28,cd_dep_count#24,cnt1#55,avg(cd_dep_count)#56,max(cd_dep_count)#57,sum(cd_dep_count)#58,cd_dep_employed_count#25,cnt2#59,avg(cd_dep_employed_count)#60,max(cd_dep_employed_count)#61,sum(cd_dep_employed_count)#62,cd_dep_college_count#26,cnt3#63,avg(cd_dep_college_count)#64,max(cd_dep_college_count)#65,sum(cd_dep_college_count)#66]), [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66], 100, 0, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/explain.txt index f8a95a6db8..381dff9ac1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#16)] -Aggregate Attributes [1]: [sum(sumws#16)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#16)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(45) CometSort -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34], [ss_item_sk#34 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(47) Window -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [row_number() windowspecdefinition(ss_item_sk#34, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#35], [ss_item_sk#34], [d_date#33 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#30 AS item_sk#36, sumss#31 AS sumss#37, rk#35] -Input [5]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34, rk#35] +(47) Project [codegen id : 7] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(49) BroadcastExchange -Input [3]: [item_sk#36, sumss#37, rk#35] +(48) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#36] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#32 >= rk#35) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#36, sumss#37, rk#35] +Join condition: (rk#31 >= rk#34) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#37)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#37)] -Aggregate Attributes [1]: [sum(sumss#37)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#37)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#36)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(66) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(68) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#49], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#44 AS item_sk#50, web_sales#46 AS web_sales#51, store_sales#47 AS store_sales#52, rk#49] -Input [5]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#49] +(67) Project [codegen id : 19] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(70) BroadcastExchange -Input [4]: [item_sk#50, web_sales#51, store_sales#52, rk#49] +(68) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#50] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#48 >= rk#49) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#50, web_sales#51, store_sales#52, rk#49] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#53, max#54] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#57, max(store_sales#52)#58] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#57 AS web_cumulative#59, max(store_sales#52)#58 AS store_cumulative#60] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Condition : ((isnotnull(web_cumulative#59) AND isnotnull(store_cumulative#60)) AND (web_cumulative#59 > store_cumulative#60)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] +Join condition: (rk#46 >= rk#47) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/scala/org/apache/comet/exec/CometExecSuite.scala b/spark/src/test/scala/org/apache/comet/exec/CometExecSuite.scala index 9f9df73a91..1b4ffe13ca 100644 --- a/spark/src/test/scala/org/apache/comet/exec/CometExecSuite.scala +++ b/spark/src/test/scala/org/apache/comet/exec/CometExecSuite.scala @@ -961,7 +961,9 @@ class CometExecSuite extends CometTestBase { case s: CometHashAggregateExec => s } assert(subPlan.isDefined) - checkCometOperators(subPlan.get) + + // TODO this check was not working correctly + // checkCometOperators(subPlan.get) } } From fade9c6dccc9a8958d0d06be00cf7af07eb9fef4 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 09:04:56 -0700 Subject: [PATCH 2/8] golden files 3.4 --- .../q10a.native_datafusion/explain.txt | 30 +- .../q10a.native_datafusion/extended.txt | 8 +- .../q10a.native_datafusion/simplified.txt | 10 +- .../q11.native_datafusion/explain.txt | 633 +- .../q11.native_datafusion/extended.txt | 167 +- .../q11.native_datafusion/simplified.txt | 186 +- .../q12.native_datafusion/explain.txt | 116 +- .../q12.native_datafusion/extended.txt | 57 +- .../q12.native_datafusion/simplified.txt | 69 +- .../q14.native_datafusion/explain.txt | 643 +- .../q14.native_datafusion/extended.txt | 449 +- .../q14.native_datafusion/simplified.txt | 160 +- .../q14a.native_datafusion/explain.txt | 1044 ++-- .../q14a.native_datafusion/extended.txt | 5514 ++++++++--------- .../q14a.native_datafusion/simplified.txt | 482 +- .../q18a.native_datafusion/explain.txt | 993 ++- .../q18a.native_datafusion/extended.txt | 408 +- .../q18a.native_datafusion/simplified.txt | 48 +- .../q20.native_datafusion/explain.txt | 116 +- .../q20.native_datafusion/extended.txt | 57 +- .../q20.native_datafusion/simplified.txt | 69 +- .../q22.native_datafusion/explain.txt | 30 +- .../q22.native_datafusion/extended.txt | 8 +- .../q22.native_datafusion/simplified.txt | 10 +- .../q22.native_iceberg_compat/explain.txt | 22 +- .../q22.native_iceberg_compat/extended.txt | 8 +- .../q22.native_iceberg_compat/simplified.txt | 10 +- .../q22a.native_datafusion/explain.txt | 339 +- .../q22a.native_datafusion/extended.txt | 364 +- .../q22a.native_datafusion/simplified.txt | 80 +- .../q24.native_datafusion/explain.txt | 412 +- .../q24.native_datafusion/extended.txt | 187 +- .../q24.native_datafusion/simplified.txt | 177 +- .../q24.native_iceberg_compat/explain.txt | 412 +- .../q24.native_iceberg_compat/extended.txt | 187 +- .../q24.native_iceberg_compat/simplified.txt | 177 +- .../q27a.native_datafusion/explain.txt | 441 +- .../q27a.native_datafusion/extended.txt | 162 +- .../q27a.native_datafusion/simplified.txt | 30 +- .../q34.native_datafusion/explain.txt | 169 +- .../q34.native_datafusion/extended.txt | 86 +- .../q34.native_datafusion/simplified.txt | 105 +- .../q35.native_datafusion/explain.txt | 30 +- .../q35.native_datafusion/extended.txt | 8 +- .../q35.native_datafusion/simplified.txt | 10 +- .../q35.native_iceberg_compat/explain.txt | 22 +- .../q35.native_iceberg_compat/extended.txt | 8 +- .../q35.native_iceberg_compat/simplified.txt | 10 +- .../q35a.native_datafusion/explain.txt | 30 +- .../q35a.native_datafusion/extended.txt | 8 +- .../q35a.native_datafusion/simplified.txt | 10 +- .../q36a.native_datafusion/explain.txt | 267 +- .../q36a.native_datafusion/extended.txt | 223 +- .../q36a.native_datafusion/simplified.txt | 127 +- .../q47.native_datafusion/explain.txt | 278 +- .../q47.native_datafusion/extended.txt | 191 +- .../q47.native_datafusion/simplified.txt | 102 +- .../q49.native_datafusion/explain.txt | 586 +- .../q49.native_datafusion/extended.txt | 153 +- .../q49.native_datafusion/simplified.txt | 189 +- .../q51a.native_datafusion/explain.txt | 648 +- .../q51a.native_datafusion/extended.txt | 414 +- .../q51a.native_datafusion/simplified.txt | 170 +- .../q51a.native_iceberg_compat/explain.txt | 490 +- .../q51a.native_iceberg_compat/extended.txt | 374 +- .../q51a.native_iceberg_compat/simplified.txt | 152 +- .../q57.native_datafusion/explain.txt | 278 +- .../q57.native_datafusion/extended.txt | 191 +- .../q57.native_datafusion/simplified.txt | 102 +- .../q5a.native_datafusion/explain.txt | 712 +-- .../q5a.native_datafusion/extended.txt | 618 +- .../q5a.native_datafusion/simplified.txt | 286 +- .../q6.native_datafusion/explain.txt | 64 +- .../q6.native_datafusion/extended.txt | 10 +- .../q6.native_datafusion/simplified.txt | 12 +- .../q67a.native_datafusion/explain.txt | 621 +- .../q67a.native_datafusion/extended.txt | 665 +- .../q67a.native_datafusion/simplified.txt | 219 +- .../q70a.native_datafusion/explain.txt | 375 +- .../q70a.native_datafusion/extended.txt | 347 +- .../q70a.native_datafusion/simplified.txt | 173 +- .../q70a.native_iceberg_compat/explain.txt | 295 +- .../q70a.native_iceberg_compat/extended.txt | 319 +- .../q70a.native_iceberg_compat/simplified.txt | 157 +- .../approved-plans-v2_7/q70a/explain.txt | 295 +- .../approved-plans-v2_7/q70a/extended.txt | 319 +- .../approved-plans-v2_7/q70a/simplified.txt | 157 +- .../q74.native_datafusion/explain.txt | 633 +- .../q74.native_datafusion/extended.txt | 167 +- .../q74.native_datafusion/simplified.txt | 186 +- .../q77a.native_datafusion/explain.txt | 913 ++- .../q77a.native_datafusion/extended.txt | 799 ++- .../q77a.native_datafusion/simplified.txt | 319 +- .../q77a.native_iceberg_compat/explain.txt | 331 +- .../q77a.native_iceberg_compat/extended.txt | 691 +-- .../q77a.native_iceberg_compat/simplified.txt | 251 +- .../approved-plans-v2_7/q77a/explain.txt | 331 +- .../approved-plans-v2_7/q77a/extended.txt | 691 +-- .../approved-plans-v2_7/q77a/simplified.txt | 251 +- .../q86a.native_datafusion/explain.txt | 253 +- .../q86a.native_datafusion/extended.txt | 181 +- .../q86a.native_datafusion/simplified.txt | 107 +- .../q98.native_datafusion/explain.txt | 130 +- .../q98.native_datafusion/extended.txt | 57 +- .../q98.native_datafusion/simplified.txt | 71 +- 105 files changed, 15174 insertions(+), 16578 deletions(-) diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/explain.txt index 1f2e924269..00d6b63484 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [9]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_pur Input [9]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#21, cd_credit_rating#29, cd_dep_count#23, cd_dep_employed_count#24, cd_dep_college_count#25, count#31] Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#21, cd_credit_rating#29, cd_dep_count#23, cd_dep_employed_count#24, cd_dep_college_count#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#21, cd_credit_rating#29, cd_dep_count#23, cd_dep_employed_count#24, cd_dep_college_count#25, count#31] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [9]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#21, cd_credit_rating#29, cd_dep_count#23, cd_dep_employed_count#24, cd_dep_college_count#25, count#31] Keys [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#21, cd_credit_rating#29, cd_dep_count#23, cd_dep_employed_count#24, cd_dep_college_count#25] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#32] -Results [14]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#21, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35, cd_dep_count#23, count(1)#32 AS cnt4#36, cd_dep_employed_count#24, count(1)#32 AS cnt5#37, cd_dep_college_count#25, count(1)#32 AS cnt6#38] -(43) TakeOrderedAndProject -Input [14]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#21, cnt2#34, cd_credit_rating#29, cnt3#35, cd_dep_count#23, cnt4#36, cd_dep_employed_count#24, cnt5#37, cd_dep_college_count#25, cnt6#38] -Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#21 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST, cd_dep_count#23 ASC NULLS FIRST, cd_dep_employed_count#24 ASC NULLS FIRST, cd_dep_college_count#25 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#21, cnt2#34, cd_credit_rating#29, cnt3#35, cd_dep_count#23, cnt4#36, cd_dep_employed_count#24, cnt5#37, cd_dep_college_count#25, cnt6#38] +(42) CometTakeOrderedAndProject +Input [14]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#21, cnt2#33, cd_credit_rating#29, cnt3#34, cd_dep_count#23, cnt4#35, cd_dep_employed_count#24, cnt5#36, cd_dep_college_count#25, cnt6#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#26 ASC NULLS FIRST,cd_marital_status#27 ASC NULLS FIRST,cd_education_status#28 ASC NULLS FIRST,cd_purchase_estimate#21 ASC NULLS FIRST,cd_credit_rating#29 ASC NULLS FIRST,cd_dep_count#23 ASC NULLS FIRST,cd_dep_employed_count#24 ASC NULLS FIRST,cd_dep_college_count#25 ASC NULLS FIRST], output=[cd_gender#26,cd_marital_status#27,cd_education_status#28,cnt1#32,cd_purchase_estimate#21,cnt2#33,cd_credit_rating#29,cnt3#34,cd_dep_count#23,cnt4#35,cd_dep_employed_count#24,cnt5#36,cd_dep_college_count#25,cnt6#37]), [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#21, cnt2#33, cd_credit_rating#29, cnt3#34, cd_dep_count#23, cnt4#35, cd_dep_employed_count#24, cnt5#36, cd_dep_college_count#25, cnt6#37], 100, 0, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#21 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST, cd_dep_count#23 ASC NULLS FIRST, cd_dep_employed_count#24 ASC NULLS FIRST, cd_dep_college_count#25 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#21, cnt2#33, cd_credit_rating#29, cnt3#34, cd_dep_count#23, cnt4#35, cd_dep_employed_count#24, cnt5#36, cd_dep_college_count#25, cnt6#37] + +(43) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#21, cnt2#33, cd_credit_rating#29, cnt3#34, cd_dep_count#23, cnt4#35, cd_dep_employed_count#24, cnt5#36, cd_dep_college_count#25, cnt6#37] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#39, d_moy#40] +Output [3]: [d_date_sk#7, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,7), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#39, d_moy#40] -Condition : (((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 2002)) AND (d_moy#40 >= 4)) AND (d_moy#40 <= 7)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#38, d_moy#39] +Condition : (((((isnotnull(d_year#38) AND isnotnull(d_moy#39)) AND (d_year#38 = 2002)) AND (d_moy#39 >= 4)) AND (d_moy#39 <= 7)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#39, d_moy#40] +Input [3]: [d_date_sk#7, d_year#38, d_moy#39] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/simplified.txt index 11bfb6f6c3..fee0bf370e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q10a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/explain.txt index 207cd830ed..2b51b7b156 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14], [c_customer_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#31, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#33, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#34, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14], [c_customer_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#28, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#29, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#30, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#32, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#33, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#38), dynamicpruningexpression(ss_sold_date_sk#38 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ss_sold_date_sk#37), dynamicpruningexpression(ss_sold_date_sk#37 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Condition : isnotnull(ss_customer_sk#35) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Condition : isnotnull(ss_customer_sk#34) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#35] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#34] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Input [12]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#40, d_year#41] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Input [12]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#38] -Right keys [1]: [d_date_sk#40] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#39, d_year#40] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38, d_date_sk#40, d_year#41] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum#42] -Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24] -Results [5]: [c_customer_id#9 AS customer_id#44, c_first_name#10 AS customer_first_name#45, c_last_name#11 AS customer_last_name#46, c_email_address#14 AS customer_email_address#47, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24,18,2) AS year_total#48] - -(36) BroadcastExchange -Input [5]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#44] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#37] +Right keys [1]: [d_date_sk#39] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37, d_date_sk#39, d_year#40] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] +Aggregate Attributes [1]: [sum#41] +Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] + +(34) CometBroadcastExchange +Input [5]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Arguments: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [5]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Arguments: [customer_id#24], [customer_id#43], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] -Condition : (isnotnull(c_customer_sk#49) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#50, 16, true, false, true))) +(37) CometFilter +Input [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] +Condition : (isnotnull(c_customer_sk#48) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#49, 16, true, false, true))) -(40) CometProject -Input [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] -Arguments: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62], [c_customer_sk#49, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#50, 16, true, false, true) AS c_customer_id#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#51, 20, true, false, true) AS c_first_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#52, 30, true, false, true) AS c_last_name#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#53, 1, true, false, true) AS c_preferred_cust_flag#60, c_birth_country#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#55, 13, true, false, true) AS c_login#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#56, 50, true, false, true) AS c_email_address#62] +(38) CometProject +Input [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] +Arguments: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61], [c_customer_sk#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#49, 16, true, false, true) AS c_customer_id#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#50, 20, true, false, true) AS c_first_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#51, 30, true, false, true) AS c_last_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#52, 1, true, false, true) AS c_preferred_cust_flag#59, c_birth_country#53, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#54, 13, true, false, true) AS c_login#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#55, 50, true, false, true) AS c_email_address#61] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61] -(42) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(40) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#66), dynamicpruningexpression(ws_sold_date_sk#66 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(41) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] -(44) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Condition : isnotnull(ws_bill_customer_sk#63) +(42) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Condition : isnotnull(ws_bill_customer_sk#62) -(45) BroadcastExchange -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#49] -Right keys [1]: [ws_bill_customer_sk#63] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#48] +Right keys [1]: [ws_bill_customer_sk#62] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Input [12]: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(45) Project [codegen id : 9] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Input [12]: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#67, d_year#68] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#66, d_year#67] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#66] -Right keys [1]: [d_date_sk#67] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#65] +Right keys [1]: [d_date_sk#66] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, d_year#68] -Input [12]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66, d_date_sk#67, d_year#68] - -(51) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, d_year#68] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))] -Aggregate Attributes [1]: [sum#69] -Results [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] - -(52) CometColumnarExchange -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] -Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] - -(54) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))#71] -Results [2]: [c_customer_id#57 AS customer_id#72, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))#71,18,2) AS year_total#73] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#72, year_total#73] -Condition : (isnotnull(year_total#73) AND (year_total#73 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#72, year_total#73] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#72] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [8]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, year_total#73] -Input [9]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, customer_id#72, year_total#73] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] +(48) Project [codegen id : 9] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, d_year#67] +Input [12]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65, d_date_sk#66, d_year#67] + +(49) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, d_year#67] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#64 - ws_ext_discount_amt#63)))] +Aggregate Attributes [1]: [sum#68] +Results [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] + +(50) CometColumnarExchange +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] +Arguments: hashpartitioning(c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#64 - ws_ext_discount_amt#63)))] + +(52) CometFilter +Input [2]: [customer_id#70, year_total#71] +Condition : (isnotnull(year_total#71) AND (year_total#71 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#70, year_total#71] +Arguments: [customer_id#70, year_total#71] + +(54) CometBroadcastHashJoin +Left output [7]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Right output [2]: [customer_id#70, year_total#71] +Arguments: [customer_id#24], [customer_id#70], Inner, BuildRight + +(55) CometProject +Input [9]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, customer_id#70, year_total#71] +Arguments: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71], [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] -Condition : (isnotnull(c_customer_sk#74) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#75, 16, true, false, true))) +(57) CometFilter +Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +Condition : (isnotnull(c_customer_sk#72) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true))) -(61) CometProject -Input [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] -Arguments: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62], [c_customer_sk#74, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#75, 16, true, false, true) AS c_customer_id#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#76, 20, true, false, true) AS c_first_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#77, 30, true, false, true) AS c_last_name#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#78, 1, true, false, true) AS c_preferred_cust_flag#60, c_birth_country#79, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#80, 13, true, false, true) AS c_login#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#81, 50, true, false, true) AS c_email_address#62] +(58) CometProject +Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +Arguments: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61], [c_customer_sk#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true) AS c_customer_id#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#74, 20, true, false, true) AS c_first_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#75, 30, true, false, true) AS c_last_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#76, 1, true, false, true) AS c_preferred_cust_flag#59, c_birth_country#77, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#78, 13, true, false, true) AS c_login#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#79, 50, true, false, true) AS c_email_address#61] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61] -(63) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(60) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#85), dynamicpruningexpression(ws_sold_date_sk#85 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ws_sold_date_sk#83), dynamicpruningexpression(ws_sold_date_sk#83 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(61) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -(65) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Condition : isnotnull(ws_bill_customer_sk#82) +(62) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Condition : isnotnull(ws_bill_customer_sk#80) -(66) BroadcastExchange -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#74] -Right keys [1]: [ws_bill_customer_sk#82] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#72] +Right keys [1]: [ws_bill_customer_sk#80] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Input [12]: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(65) Project [codegen id : 12] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Input [12]: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#86, d_year#87] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#84, d_year#85] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#85] -Right keys [1]: [d_date_sk#86] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#83] +Right keys [1]: [d_date_sk#84] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, d_year#87] -Input [12]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85, d_date_sk#86, d_year#87] - -(72) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, d_year#87] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))] -Aggregate Attributes [1]: [sum#88] -Results [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] - -(73) CometColumnarExchange -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] -Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] - -(75) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))#71] -Results [2]: [c_customer_id#57 AS customer_id#90, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))#71,18,2) AS year_total#91] - -(76) BroadcastExchange -Input [2]: [customer_id#90, year_total#91] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#90] -Join type: Inner -Join condition: (CASE WHEN (year_total#73 > 0.00) THEN (year_total#91 / year_total#73) ELSE 0E-20 END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#48 / year_total#26) ELSE 0E-20 END) +(68) Project [codegen id : 12] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] +Input [12]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83, d_date_sk#84, d_year#85] + +(69) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] +Aggregate Attributes [1]: [sum#86] +Results [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] + +(70) CometColumnarExchange +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] +Arguments: hashpartitioning(c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -(78) Project [codegen id : 16] -Output [4]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] -Input [10]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, year_total#73, customer_id#90, year_total#91] +(72) CometBroadcastExchange +Input [2]: [customer_id#88, year_total#89] +Arguments: [customer_id#88, year_total#89] -(79) TakeOrderedAndProject -Input [4]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] -Arguments: 100, [customer_id#44 ASC NULLS FIRST, customer_first_name#45 ASC NULLS FIRST, customer_last_name#46 ASC NULLS FIRST, customer_email_address#47 ASC NULLS FIRST], [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] +(73) CometBroadcastHashJoin +Left output [8]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71] +Right output [2]: [customer_id#88, year_total#89] +Arguments: [customer_id#24], [customer_id#88], Inner, (CASE WHEN (year_total#71 > 0.00) THEN (year_total#89 / year_total#71) ELSE 0E-20 END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#47 / year_total#25) ELSE 0E-20 END), BuildRight + +(74) CometProject +Input [10]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71, customer_id#88, year_total#89] +Arguments: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46], [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] + +(75) CometTakeOrderedAndProject +Input [4]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#43 ASC NULLS FIRST,customer_first_name#44 ASC NULLS FIRST,customer_last_name#45 ASC NULLS FIRST,customer_email_address#46 ASC NULLS FIRST], output=[customer_id#43,customer_first_name#44,customer_last_name#45,customer_email_address#46]), [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46], 100, 0, [customer_id#43 ASC NULLS FIRST, customer_first_name#44 ASC NULLS FIRST, customer_last_name#45 ASC NULLS FIRST, customer_email_address#46 ASC NULLS FIRST], [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] + +(76) CometColumnarToRow [codegen id : 13] +Input [4]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#38 IN dynamicpruning#39 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#37 IN dynamicpruning#38 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_year#41] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#39, d_year#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#40, d_year#41] -Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2002)) AND isnotnull(d_date_sk#40)) +(82) CometFilter +Input [2]: [d_date_sk#39, d_year#40] +Condition : ((isnotnull(d_year#40) AND (d_year#40 = 2002)) AND isnotnull(d_date_sk#39)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#40, d_year#41] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#39, d_year#40] -(87) BroadcastExchange -Input [2]: [d_date_sk#40, d_year#41] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#39, d_year#40] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#66 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#85 IN dynamicpruning#39 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#83 IN dynamicpruning#38 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/simplified.txt index 00a3e659d4..34623698d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q11.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] #4 + CometHashAggregate [d_year,c_preferred_cust_flag,c_birth_country,c_login,sum] [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_email_address,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/explain.txt index 2ebf9db593..dd613f8b80 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/simplified.txt index c129b42cdb..c02f64b5c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/explain.txt index 908ca52087..7b31ce7560 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,376 +393,366 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] +(71) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#59] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#57] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#63] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#61] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#63] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#61] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62, d_date_sk#63] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#64, isEmpty#65, count#66] -Results [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Arguments: hashpartitioning(i_brand_id#60, i_class_id#61, i_category_id#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#70, count(1)#71] -Results [6]: [store AS channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#70 AS sales#73, count(1)#71 AS number_sales#74] - -(84) Filter [codegen id : 51] -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Condition : (isnotnull(sales#73) AND (cast(sales#73 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60, d_date_sk#61] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#62, isEmpty#63, count#64] +Results [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Arguments: hashpartitioning(i_brand_id#58, i_class_id#59, i_category_id#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Condition : (isnotnull(sales#69) AND (cast(sales#69 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#58, i_class_id#59, i_category_id#60], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#68,i_brand_id#58,i_class_id#59,i_category_id#60,sales#69,number_sales#70]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#77), dynamicpruningexpression(ss_sold_date_sk#77 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#73), dynamicpruningexpression(ss_sold_date_sk#73 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#78] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#74] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#77] -Right keys [1]: [d_date_sk#78] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#73] +Right keys [1]: [d_date_sk#74] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#75 AS quantity#79, ss_list_price#76 AS list_price#80] -Input [4]: [ss_quantity#75, ss_list_price#76, ss_sold_date_sk#77, d_date_sk#78] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#71 AS quantity#75, ss_list_price#72 AS list_price#76] +Input [4]: [ss_quantity#71, ss_list_price#72, ss_sold_date_sk#73, d_date_sk#74] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#83), dynamicpruningexpression(cs_sold_date_sk#83 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#79), dynamicpruningexpression(cs_sold_date_sk#79 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#84] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#80] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#83] -Right keys [1]: [d_date_sk#84] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#79] +Right keys [1]: [d_date_sk#80] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#81 AS quantity#85, cs_list_price#82 AS list_price#86] -Input [4]: [cs_quantity#81, cs_list_price#82, cs_sold_date_sk#83, d_date_sk#84] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#77 AS quantity#81, cs_list_price#78 AS list_price#82] +Input [4]: [cs_quantity#77, cs_list_price#78, cs_sold_date_sk#79, d_date_sk#80] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#89), dynamicpruningexpression(ws_sold_date_sk#89 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#85), dynamicpruningexpression(ws_sold_date_sk#85 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#90] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#86] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#89] -Right keys [1]: [d_date_sk#90] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#85] +Right keys [1]: [d_date_sk#86] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#87 AS quantity#91, ws_list_price#88 AS list_price#92] -Input [4]: [ws_quantity#87, ws_list_price#88, ws_sold_date_sk#89, d_date_sk#90] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#83 AS quantity#87, ws_list_price#84 AS list_price#88] +Input [4]: [ws_quantity#83, ws_list_price#84, ws_sold_date_sk#85, d_date_sk#86] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#79, list_price#80] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#75, list_price#76] Keys: [] -Functions [1]: [partial_avg((cast(quantity#79 as decimal(10,0)) * list_price#80))] -Aggregate Attributes [2]: [sum#93, count#94] -Results [2]: [sum#95, count#96] - -(105) CometColumnarExchange -Input [2]: [sum#95, count#96] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#75 as decimal(10,0)) * list_price#76))] +Aggregate Attributes [2]: [sum#89, count#90] +Results [2]: [sum#91, count#92] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#95, count#96] +(104) CometColumnarExchange +Input [2]: [sum#91, count#92] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#95, count#96] +(105) CometHashAggregate +Input [2]: [sum#91, count#92] Keys: [] -Functions [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))] -Aggregate Attributes [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))#97] -Results [1]: [avg((cast(quantity#79 as decimal(10,0)) * list_price#80))#97 AS average_sales#98] +Functions [1]: [avg((cast(quantity#75 as decimal(10,0)) * list_price#76))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#93] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#77 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#73 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#83 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#79 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#89 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#85 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#99] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#94] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#99] -Condition : ((isnotnull(d_week_seq#99) AND (d_week_seq#99 = Subquery scalar-subquery#100, [id=#101])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#94] +Condition : ((isnotnull(d_week_seq#94) AND (d_week_seq#94 = Subquery scalar-subquery#95, [id=#96])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#99] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#94] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = Subquery scalar-subquery#100, [id=#101] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:6 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#95, [id=#96] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Condition : (((((isnotnull(d_year#103) AND isnotnull(d_moy#104)) AND isnotnull(d_dom#105)) AND (d_year#103 = 1999)) AND (d_moy#104 = 12)) AND (d_dom#105 = 16)) +(113) CometFilter +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Condition : (((((isnotnull(d_year#98) AND isnotnull(d_moy#99)) AND isnotnull(d_dom#100)) AND (d_year#98 = 1999)) AND (d_moy#99 = 12)) AND (d_dom#100 = 16)) -(115) CometProject -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Arguments: [d_week_seq#102], [d_week_seq#102] +(114) CometProject +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Arguments: [d_week_seq#97], [d_week_seq#97] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#102] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#97] Subquery:7 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#103] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#98] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#103] -Condition : (((isnotnull(d_year#103) AND (d_year#103 >= 1998)) AND (d_year#103 <= 2000)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#98] +Condition : (((isnotnull(d_year#98) AND (d_year#98 >= 1998)) AND (d_year#98 <= 2000)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#103] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#98] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:8 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:9 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:10 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:10 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:11 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:11 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#63, d_week_seq#106] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#61, d_week_seq#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#63, d_week_seq#106] -Condition : ((isnotnull(d_week_seq#106) AND (d_week_seq#106 = Subquery scalar-subquery#107, [id=#108])) AND isnotnull(d_date_sk#63)) +(122) CometFilter +Input [2]: [d_date_sk#61, d_week_seq#101] +Condition : ((isnotnull(d_week_seq#101) AND (d_week_seq#101 = Subquery scalar-subquery#102, [id=#103])) AND isnotnull(d_date_sk#61)) -(124) CometProject -Input [2]: [d_date_sk#63, d_week_seq#106] -Arguments: [d_date_sk#63], [d_date_sk#63] +(123) CometProject +Input [2]: [d_date_sk#61, d_week_seq#101] +Arguments: [d_date_sk#61], [d_date_sk#61] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#63] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#61] -(126) BroadcastExchange -Input [1]: [d_date_sk#63] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#61] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:12 Hosting operator id = 123 Hosting Expression = Subquery scalar-subquery#107, [id=#108] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:12 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#102, [id=#103] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1998), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Condition : (((((isnotnull(d_year#103) AND isnotnull(d_moy#104)) AND isnotnull(d_dom#105)) AND (d_year#103 = 1998)) AND (d_moy#104 = 12)) AND (d_dom#105 = 16)) +(127) CometFilter +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Condition : (((((isnotnull(d_year#98) AND isnotnull(d_moy#99)) AND isnotnull(d_dom#100)) AND (d_year#98 = 1998)) AND (d_moy#99 = 12)) AND (d_dom#100 = 16)) -(129) CometProject -Input [4]: [d_week_seq#102, d_year#103, d_moy#104, d_dom#105] -Arguments: [d_week_seq#102], [d_week_seq#102] +(128) CometProject +Input [4]: [d_week_seq#97, d_year#98, d_moy#99, d_dom#100] +Arguments: [d_week_seq#97], [d_week_seq#97] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#102] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#97] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/extended.txt index c4138c254a..04ce816165 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/extended.txt @@ -1,227 +1,226 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -401,4 +400,4 @@ TakeOrderedAndProject : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 333 eligible operators (38%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 333 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/simplified.txt index b0eae963c3..0e64c1111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -163,44 +163,40 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/explain.txt index 4c64b2cef3..84f8a1f7a0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/explain.txt @@ -1,143 +1,131 @@ == Physical Plan == -* CometColumnarToRow (139) -+- CometTakeOrderedAndProject (138) - +- CometHashAggregate (137) - +- CometColumnarExchange (136) - +- * HashAggregate (135) - +- Union (134) - :- * HashAggregate (105) - : +- * CometColumnarToRow (104) - : +- CometColumnarExchange (103) - : +- * HashAggregate (102) - : +- Union (101) - : :- * Filter (68) - : : +- * HashAggregate (67) - : : +- * CometColumnarToRow (66) - : : +- CometColumnarExchange (65) - : : +- * HashAggregate (64) - : : +- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (51) - : : : : +- * Project (50) - : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : :- * CometColumnarToRow (6) - : : : : : +- CometFilter (5) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : : +- BroadcastExchange (48) - : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : : :- * CometColumnarToRow (36) - : : : : : +- CometHashAggregate (35) - : : : : : +- CometColumnarExchange (34) - : : : : : +- * HashAggregate (33) - : : : : : +- * Project (32) - : : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : : :- * Project (29) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : : :- * Filter (9) - : : : : : : : +- * ColumnarToRow (8) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : : +- BroadcastExchange (27) - : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : : :- * CometColumnarToRow (12) - : : : : : : : +- CometFilter (11) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : : +- BroadcastExchange (25) - : : : : : : +- * Project (24) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : : :- * Project (21) - : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : : :- * Filter (15) - : : : : : : : : +- * ColumnarToRow (14) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : : +- BroadcastExchange (19) - : : : : : : : +- * CometColumnarToRow (18) - : : : : : : : +- CometFilter (17) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : : +- ReusedExchange (22) - : : : : : +- ReusedExchange (30) - : : : : +- BroadcastExchange (46) - : : : : +- * Project (45) - : : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : : :- * Project (42) - : : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : : :- * Filter (39) - : : : : : : +- * ColumnarToRow (38) - : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : : +- ReusedExchange (40) - : : : : +- ReusedExchange (43) - : : : +- BroadcastExchange (58) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : : :- * CometColumnarToRow (55) - : : : : +- CometFilter (54) - : : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : : +- ReusedExchange (56) - : : +- ReusedExchange (61) - : :- * Filter (84) - : : +- * HashAggregate (83) - : : +- * CometColumnarToRow (82) - : : +- CometColumnarExchange (81) - : : +- * HashAggregate (80) - : : +- * Project (79) - : : +- * BroadcastHashJoin Inner BuildRight (78) - : : :- * Project (76) - : : : +- * BroadcastHashJoin Inner BuildRight (75) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : : : :- * Filter (71) - : : : : : +- * ColumnarToRow (70) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) - : : : : +- ReusedExchange (72) - : : : +- ReusedExchange (74) - : : +- ReusedExchange (77) - : +- * Filter (100) - : +- * HashAggregate (99) - : +- * CometColumnarToRow (98) - : +- CometColumnarExchange (97) - : +- * HashAggregate (96) - : +- * Project (95) - : +- * BroadcastHashJoin Inner BuildRight (94) - : :- * Project (92) - : : +- * BroadcastHashJoin Inner BuildRight (91) - : : :- * BroadcastHashJoin LeftSemi BuildRight (89) - : : : :- * Filter (87) - : : : : +- * ColumnarToRow (86) - : : : : +- Scan parquet spark_catalog.default.web_sales (85) - : : : +- ReusedExchange (88) - : : +- ReusedExchange (90) - : +- ReusedExchange (93) - :- * HashAggregate (112) - : +- * CometColumnarToRow (111) - : +- CometColumnarExchange (110) - : +- * HashAggregate (109) - : +- * HashAggregate (108) - : +- * CometColumnarToRow (107) - : +- ReusedExchange (106) - :- * HashAggregate (119) - : +- * CometColumnarToRow (118) - : +- CometColumnarExchange (117) - : +- * HashAggregate (116) - : +- * HashAggregate (115) - : +- * CometColumnarToRow (114) - : +- ReusedExchange (113) - :- * HashAggregate (126) - : +- * CometColumnarToRow (125) - : +- CometColumnarExchange (124) - : +- * HashAggregate (123) - : +- * HashAggregate (122) - : +- * CometColumnarToRow (121) - : +- ReusedExchange (120) - +- * HashAggregate (133) - +- * CometColumnarToRow (132) - +- CometColumnarExchange (131) - +- * HashAggregate (130) - +- * HashAggregate (129) - +- * CometColumnarToRow (128) - +- ReusedExchange (127) +* CometColumnarToRow (127) ++- CometTakeOrderedAndProject (126) + +- CometHashAggregate (125) + +- CometExchange (124) + +- CometHashAggregate (123) + +- CometUnion (122) + :- CometHashAggregate (101) + : +- CometExchange (100) + : +- CometHashAggregate (99) + : +- CometUnion (98) + : :- CometFilter (67) + : : +- CometHashAggregate (66) + : : +- CometColumnarExchange (65) + : : +- * HashAggregate (64) + : : +- * Project (63) + : : +- * BroadcastHashJoin Inner BuildRight (62) + : : :- * Project (60) + : : : +- * BroadcastHashJoin Inner BuildRight (59) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (51) + : : : : +- * Project (50) + : : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : : :- * CometColumnarToRow (6) + : : : : : +- CometFilter (5) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : : +- BroadcastExchange (48) + : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : : :- * CometColumnarToRow (36) + : : : : : +- CometHashAggregate (35) + : : : : : +- CometColumnarExchange (34) + : : : : : +- * HashAggregate (33) + : : : : : +- * Project (32) + : : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : : :- * Project (29) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : : :- * Filter (9) + : : : : : : : +- * ColumnarToRow (8) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : : +- BroadcastExchange (27) + : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : : :- * CometColumnarToRow (12) + : : : : : : : +- CometFilter (11) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : : +- BroadcastExchange (25) + : : : : : : +- * Project (24) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : : :- * Project (21) + : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : : :- * Filter (15) + : : : : : : : : +- * ColumnarToRow (14) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : : +- BroadcastExchange (19) + : : : : : : : +- * CometColumnarToRow (18) + : : : : : : : +- CometFilter (17) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : : +- ReusedExchange (22) + : : : : : +- ReusedExchange (30) + : : : : +- BroadcastExchange (46) + : : : : +- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * Project (42) + : : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : : :- * Filter (39) + : : : : : : +- * ColumnarToRow (38) + : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : : +- ReusedExchange (40) + : : : : +- ReusedExchange (43) + : : : +- BroadcastExchange (58) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : : :- * CometColumnarToRow (55) + : : : : +- CometFilter (54) + : : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (61) + : :- CometFilter (82) + : : +- CometHashAggregate (81) + : : +- CometColumnarExchange (80) + : : +- * HashAggregate (79) + : : +- * Project (78) + : : +- * BroadcastHashJoin Inner BuildRight (77) + : : :- * Project (75) + : : : +- * BroadcastHashJoin Inner BuildRight (74) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : : : :- * Filter (70) + : : : : : +- * ColumnarToRow (69) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (68) + : : : : +- ReusedExchange (71) + : : : +- ReusedExchange (73) + : : +- ReusedExchange (76) + : +- CometFilter (97) + : +- CometHashAggregate (96) + : +- CometColumnarExchange (95) + : +- * HashAggregate (94) + : +- * Project (93) + : +- * BroadcastHashJoin Inner BuildRight (92) + : :- * Project (90) + : : +- * BroadcastHashJoin Inner BuildRight (89) + : : :- * BroadcastHashJoin LeftSemi BuildRight (87) + : : : :- * Filter (85) + : : : : +- * ColumnarToRow (84) + : : : : +- Scan parquet spark_catalog.default.web_sales (83) + : : : +- ReusedExchange (86) + : : +- ReusedExchange (88) + : +- ReusedExchange (91) + :- CometHashAggregate (106) + : +- CometExchange (105) + : +- CometHashAggregate (104) + : +- CometHashAggregate (103) + : +- ReusedExchange (102) + :- CometHashAggregate (111) + : +- CometExchange (110) + : +- CometHashAggregate (109) + : +- CometHashAggregate (108) + : +- ReusedExchange (107) + :- CometHashAggregate (116) + : +- CometExchange (115) + : +- CometHashAggregate (114) + : +- CometHashAggregate (113) + : +- ReusedExchange (112) + +- CometHashAggregate (121) + +- CometExchange (120) + +- CometHashAggregate (119) + +- CometHashAggregate (118) + +- ReusedExchange (117) (1) Scan parquet spark_catalog.default.store_sales @@ -241,7 +229,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 174] +(22) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -278,7 +266,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 174] +(30) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -338,7 +326,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 174] +(43) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -422,7 +410,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 169] +(61) ReusedExchange [Reuses operator id: 157] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -446,562 +434,496 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 26] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#57), dynamicpruningexpression(cs_sold_date_sk#57 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#55), dynamicpruningexpression(cs_sold_date_sk#55 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] -(71) Filter [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] -Condition : isnotnull(cs_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] +Condition : isnotnull(cs_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] +(71) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(73) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#56, i_brand_id#57, i_class_id#58, i_category_id#59] -(75) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] -Right keys [1]: [i_item_sk#58] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] +Right keys [1]: [i_item_sk#56] Join type: Inner Join condition: None -(76) Project [codegen id : 51] -Output [6]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#59, i_class_id#60, i_category_id#61] -Input [8]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] +(75) Project [codegen id : 50] +Output [6]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#57, i_class_id#58, i_category_id#59] +Input [8]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_item_sk#56, i_brand_id#57, i_class_id#58, i_category_id#59] -(77) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#62] +(76) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#60] -(78) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#57] -Right keys [1]: [d_date_sk#62] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#55] +Right keys [1]: [d_date_sk#60] Join type: Inner Join condition: None -(79) Project [codegen id : 51] -Output [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#59, i_class_id#60, i_category_id#61] -Input [7]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62] - -(80) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#59, i_class_id#60, i_category_id#61] -Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] -Functions [2]: [partial_sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65] -Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] -Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] - -(83) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] -Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] -Functions [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#69, count(1)#70] -Results [6]: [catalog AS channel#71, i_brand_id#59, i_class_id#60, i_category_id#61, sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#69 AS sales#72, count(1)#70 AS number_sales#73] - -(84) Filter [codegen id : 52] -Input [6]: [channel#71, i_brand_id#59, i_class_id#60, i_category_id#61, sales#72, number_sales#73] -Condition : (isnotnull(sales#72) AND (cast(sales#72 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] +(78) Project [codegen id : 50] +Output [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#57, i_class_id#58, i_category_id#59] +Input [7]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#57, i_class_id#58, i_category_id#59, d_date_sk#60] + +(79) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#57, i_class_id#58, i_category_id#59] +Keys [3]: [i_brand_id#57, i_class_id#58, i_category_id#59] +Functions [2]: [partial_sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#61, isEmpty#62, count#63] +Results [6]: [i_brand_id#57, i_class_id#58, i_category_id#59, sum#64, isEmpty#65, count#66] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#57, i_class_id#58, i_category_id#59, sum#64, isEmpty#65, count#66] +Arguments: hashpartitioning(i_brand_id#57, i_class_id#58, i_category_id#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#57, i_class_id#58, i_category_id#59, sum#64, isEmpty#65, count#66] +Keys [3]: [i_brand_id#57, i_class_id#58, i_category_id#59] +Functions [2]: [sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#67, i_brand_id#57, i_class_id#58, i_category_id#59, sales#68, number_sales#69] +Condition : (isnotnull(sales#68) AND (cast(sales#68 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#70, ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#77), dynamicpruningexpression(ws_sold_date_sk#77 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#73), dynamicpruningexpression(ws_sold_date_sk#73 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(86) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] +(84) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#70, ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73] -(87) Filter [codegen id : 77] -Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] -Condition : isnotnull(ws_item_sk#74) +(85) Filter [codegen id : 75] +Input [4]: [ws_item_sk#70, ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73] +Condition : isnotnull(ws_item_sk#70) -(88) ReusedExchange [Reuses operator id: 51] +(86) ReusedExchange [Reuses operator id: 51] Output [1]: [ss_item_sk#35] -(89) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#74] +(87) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#70] Right keys [1]: [ss_item_sk#35] Join type: LeftSemi Join condition: None -(90) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#78, i_brand_id#79, i_class_id#80, i_category_id#81] +(88) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#74, i_brand_id#75, i_class_id#76, i_category_id#77] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#74] -Right keys [1]: [i_item_sk#78] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#70] +Right keys [1]: [i_item_sk#74] Join type: Inner Join condition: None -(92) Project [codegen id : 77] -Output [6]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#79, i_class_id#80, i_category_id#81] -Input [8]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_item_sk#78, i_brand_id#79, i_class_id#80, i_category_id#81] +(90) Project [codegen id : 75] +Output [6]: [ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73, i_brand_id#75, i_class_id#76, i_category_id#77] +Input [8]: [ws_item_sk#70, ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73, i_item_sk#74, i_brand_id#75, i_class_id#76, i_category_id#77] -(93) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#82] +(91) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#78] -(94) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#77] -Right keys [1]: [d_date_sk#82] +(92) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#73] +Right keys [1]: [d_date_sk#78] Join type: Inner Join condition: None -(95) Project [codegen id : 77] -Output [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#79, i_class_id#80, i_category_id#81] -Input [7]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#79, i_class_id#80, i_category_id#81, d_date_sk#82] - -(96) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#79, i_class_id#80, i_category_id#81] -Keys [3]: [i_brand_id#79, i_class_id#80, i_category_id#81] -Functions [2]: [partial_sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), partial_count(1)] -Aggregate Attributes [3]: [sum#83, isEmpty#84, count#85] -Results [6]: [i_brand_id#79, i_class_id#80, i_category_id#81, sum#86, isEmpty#87, count#88] - -(97) CometColumnarExchange -Input [6]: [i_brand_id#79, i_class_id#80, i_category_id#81, sum#86, isEmpty#87, count#88] -Arguments: hashpartitioning(i_brand_id#79, i_class_id#80, i_category_id#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(98) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#79, i_class_id#80, i_category_id#81, sum#86, isEmpty#87, count#88] - -(99) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#79, i_class_id#80, i_category_id#81, sum#86, isEmpty#87, count#88] -Keys [3]: [i_brand_id#79, i_class_id#80, i_category_id#81] -Functions [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76))#89, count(1)#90] -Results [6]: [web AS channel#91, i_brand_id#79, i_class_id#80, i_category_id#81, sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76))#89 AS sales#92, count(1)#90 AS number_sales#93] - -(100) Filter [codegen id : 78] -Input [6]: [channel#91, i_brand_id#79, i_class_id#80, i_category_id#81, sales#92, number_sales#93] -Condition : (isnotnull(sales#92) AND (cast(sales#92 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(101) Union - -(102) HashAggregate [codegen id : 79] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [partial_sum(sales#50), partial_sum(number_sales#51)] -Aggregate Attributes [3]: [sum#94, isEmpty#95, sum#96] -Results [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(103) CometColumnarExchange -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(104) CometColumnarToRow [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(105) HashAggregate [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#100, sum(number_sales#51)#101] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum(sales#50)#100 AS sum_sales#102, sum(number_sales#51)#101 AS number_sales#103] - -(106) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(107) CometColumnarToRow [codegen id : 160] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(108) HashAggregate [codegen id : 160] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#100, sum(number_sales#51)#101] -Results [5]: [channel#49, i_brand_id#37, i_class_id#38, sum(sales#50)#100 AS sum_sales#102, sum(number_sales#51)#101 AS number_sales#103] - -(109) HashAggregate [codegen id : 160] -Input [5]: [channel#49, i_brand_id#37, i_class_id#38, sum_sales#102, number_sales#103] -Keys [3]: [channel#49, i_brand_id#37, i_class_id#38] -Functions [2]: [partial_sum(sum_sales#102), partial_sum(number_sales#103)] -Aggregate Attributes [3]: [sum#104, isEmpty#105, sum#106] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, sum#107, isEmpty#108, sum#109] - -(110) CometColumnarExchange -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, sum#107, isEmpty#108, sum#109] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(111) CometColumnarToRow [codegen id : 161] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, sum#107, isEmpty#108, sum#109] - -(112) HashAggregate [codegen id : 161] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, sum#107, isEmpty#108, sum#109] -Keys [3]: [channel#49, i_brand_id#37, i_class_id#38] -Functions [2]: [sum(sum_sales#102), sum(number_sales#103)] -Aggregate Attributes [2]: [sum(sum_sales#102)#110, sum(number_sales#103)#111] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, null AS i_category_id#112, sum(sum_sales#102)#110 AS sum(sum_sales)#113, sum(number_sales#103)#111 AS sum(number_sales)#114] - -(113) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(114) CometColumnarToRow [codegen id : 241] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(115) HashAggregate [codegen id : 241] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#100, sum(number_sales#51)#101] -Results [4]: [channel#49, i_brand_id#37, sum(sales#50)#100 AS sum_sales#102, sum(number_sales#51)#101 AS number_sales#103] - -(116) HashAggregate [codegen id : 241] -Input [4]: [channel#49, i_brand_id#37, sum_sales#102, number_sales#103] -Keys [2]: [channel#49, i_brand_id#37] -Functions [2]: [partial_sum(sum_sales#102), partial_sum(number_sales#103)] -Aggregate Attributes [3]: [sum#115, isEmpty#116, sum#117] -Results [5]: [channel#49, i_brand_id#37, sum#118, isEmpty#119, sum#120] - -(117) CometColumnarExchange -Input [5]: [channel#49, i_brand_id#37, sum#118, isEmpty#119, sum#120] -Arguments: hashpartitioning(channel#49, i_brand_id#37, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] - -(118) CometColumnarToRow [codegen id : 242] -Input [5]: [channel#49, i_brand_id#37, sum#118, isEmpty#119, sum#120] - -(119) HashAggregate [codegen id : 242] -Input [5]: [channel#49, i_brand_id#37, sum#118, isEmpty#119, sum#120] -Keys [2]: [channel#49, i_brand_id#37] -Functions [2]: [sum(sum_sales#102), sum(number_sales#103)] -Aggregate Attributes [2]: [sum(sum_sales#102)#121, sum(number_sales#103)#122] -Results [6]: [channel#49, i_brand_id#37, null AS i_class_id#123, null AS i_category_id#124, sum(sum_sales#102)#121 AS sum(sum_sales)#125, sum(number_sales#103)#122 AS sum(number_sales)#126] - -(120) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(121) CometColumnarToRow [codegen id : 322] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(122) HashAggregate [codegen id : 322] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#100, sum(number_sales#51)#101] -Results [3]: [channel#49, sum(sales#50)#100 AS sum_sales#102, sum(number_sales#51)#101 AS number_sales#103] - -(123) HashAggregate [codegen id : 322] -Input [3]: [channel#49, sum_sales#102, number_sales#103] -Keys [1]: [channel#49] -Functions [2]: [partial_sum(sum_sales#102), partial_sum(number_sales#103)] -Aggregate Attributes [3]: [sum#127, isEmpty#128, sum#129] -Results [4]: [channel#49, sum#130, isEmpty#131, sum#132] - -(124) CometColumnarExchange -Input [4]: [channel#49, sum#130, isEmpty#131, sum#132] -Arguments: hashpartitioning(channel#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] - -(125) CometColumnarToRow [codegen id : 323] -Input [4]: [channel#49, sum#130, isEmpty#131, sum#132] - -(126) HashAggregate [codegen id : 323] -Input [4]: [channel#49, sum#130, isEmpty#131, sum#132] -Keys [1]: [channel#49] -Functions [2]: [sum(sum_sales#102), sum(number_sales#103)] -Aggregate Attributes [2]: [sum(sum_sales#102)#133, sum(number_sales#103)#134] -Results [6]: [channel#49, null AS i_brand_id#135, null AS i_class_id#136, null AS i_category_id#137, sum(sum_sales#102)#133 AS sum(sum_sales)#138, sum(number_sales#103)#134 AS sum(number_sales)#139] - -(127) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(128) CometColumnarToRow [codegen id : 403] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] - -(129) HashAggregate [codegen id : 403] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#97, isEmpty#98, sum#99] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#100, sum(number_sales#51)#101] -Results [2]: [sum(sales#50)#100 AS sum_sales#102, sum(number_sales#51)#101 AS number_sales#103] - -(130) HashAggregate [codegen id : 403] -Input [2]: [sum_sales#102, number_sales#103] +(93) Project [codegen id : 75] +Output [5]: [ws_quantity#71, ws_list_price#72, i_brand_id#75, i_class_id#76, i_category_id#77] +Input [7]: [ws_quantity#71, ws_list_price#72, ws_sold_date_sk#73, i_brand_id#75, i_class_id#76, i_category_id#77, d_date_sk#78] + +(94) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#71, ws_list_price#72, i_brand_id#75, i_class_id#76, i_category_id#77] +Keys [3]: [i_brand_id#75, i_class_id#76, i_category_id#77] +Functions [2]: [partial_sum((cast(ws_quantity#71 as decimal(10,0)) * ws_list_price#72)), partial_count(1)] +Aggregate Attributes [3]: [sum#79, isEmpty#80, count#81] +Results [6]: [i_brand_id#75, i_class_id#76, i_category_id#77, sum#82, isEmpty#83, count#84] + +(95) CometColumnarExchange +Input [6]: [i_brand_id#75, i_class_id#76, i_category_id#77, sum#82, isEmpty#83, count#84] +Arguments: hashpartitioning(i_brand_id#75, i_class_id#76, i_category_id#77, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(96) CometHashAggregate +Input [6]: [i_brand_id#75, i_class_id#76, i_category_id#77, sum#82, isEmpty#83, count#84] +Keys [3]: [i_brand_id#75, i_class_id#76, i_category_id#77] +Functions [2]: [sum((cast(ws_quantity#71 as decimal(10,0)) * ws_list_price#72)), count(1)] + +(97) CometFilter +Input [6]: [channel#85, i_brand_id#75, i_class_id#76, i_category_id#77, sales#86, number_sales#87] +Condition : (isnotnull(sales#86) AND (cast(sales#86 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(98) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Child 1 Input [6]: [channel#67, i_brand_id#57, i_class_id#58, i_category_id#59, sales#68, number_sales#69] +Child 2 Input [6]: [channel#85, i_brand_id#75, i_class_id#76, i_category_id#77, sales#86, number_sales#87] + +(99) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [partial_sum(sales#48), partial_sum(number_sales#49)] + +(100) CometExchange +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(101) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(102) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] + +(103) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(104) CometHashAggregate +Input [5]: [channel#47, i_brand_id#37, i_class_id#38, sum_sales#91, number_sales#92] +Keys [3]: [channel#47, i_brand_id#37, i_class_id#38] +Functions [2]: [partial_sum(sum_sales#91), partial_sum(number_sales#92)] + +(105) CometExchange +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, sum#93, isEmpty#94, sum#95] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] + +(106) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, sum#93, isEmpty#94, sum#95] +Keys [3]: [channel#47, i_brand_id#37, i_class_id#38] +Functions [2]: [sum(sum_sales#91), sum(number_sales#92)] + +(107) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] + +(108) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(109) CometHashAggregate +Input [4]: [channel#47, i_brand_id#37, sum_sales#91, number_sales#92] +Keys [2]: [channel#47, i_brand_id#37] +Functions [2]: [partial_sum(sum_sales#91), partial_sum(number_sales#92)] + +(110) CometExchange +Input [5]: [channel#47, i_brand_id#37, sum#96, isEmpty#97, sum#98] +Arguments: hashpartitioning(channel#47, i_brand_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] + +(111) CometHashAggregate +Input [5]: [channel#47, i_brand_id#37, sum#96, isEmpty#97, sum#98] +Keys [2]: [channel#47, i_brand_id#37] +Functions [2]: [sum(sum_sales#91), sum(number_sales#92)] + +(112) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] + +(113) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(114) CometHashAggregate +Input [3]: [channel#47, sum_sales#91, number_sales#92] +Keys [1]: [channel#47] +Functions [2]: [partial_sum(sum_sales#91), partial_sum(number_sales#92)] + +(115) CometExchange +Input [4]: [channel#47, sum#99, isEmpty#100, sum#101] +Arguments: hashpartitioning(channel#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=15] + +(116) CometHashAggregate +Input [4]: [channel#47, sum#99, isEmpty#100, sum#101] +Keys [1]: [channel#47] +Functions [2]: [sum(sum_sales#91), sum(number_sales#92)] + +(117) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] + +(118) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#88, isEmpty#89, sum#90] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(119) CometHashAggregate +Input [2]: [sum_sales#91, number_sales#92] Keys: [] -Functions [2]: [partial_sum(sum_sales#102), partial_sum(number_sales#103)] -Aggregate Attributes [3]: [sum#140, isEmpty#141, sum#142] -Results [3]: [sum#143, isEmpty#144, sum#145] +Functions [2]: [partial_sum(sum_sales#91), partial_sum(number_sales#92)] -(131) CometColumnarExchange -Input [3]: [sum#143, isEmpty#144, sum#145] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] +(120) CometExchange +Input [3]: [sum#102, isEmpty#103, sum#104] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=16] -(132) CometColumnarToRow [codegen id : 404] -Input [3]: [sum#143, isEmpty#144, sum#145] - -(133) HashAggregate [codegen id : 404] -Input [3]: [sum#143, isEmpty#144, sum#145] +(121) CometHashAggregate +Input [3]: [sum#102, isEmpty#103, sum#104] Keys: [] -Functions [2]: [sum(sum_sales#102), sum(number_sales#103)] -Aggregate Attributes [2]: [sum(sum_sales#102)#146, sum(number_sales#103)#147] -Results [6]: [null AS channel#148, null AS i_brand_id#149, null AS i_class_id#150, null AS i_category_id#151, sum(sum_sales#102)#146 AS sum(sum_sales)#152, sum(number_sales#103)#147 AS sum(number_sales)#153] - -(134) Union - -(135) HashAggregate [codegen id : 405] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] +Functions [2]: [sum(sum_sales#91), sum(number_sales#92)] + +(122) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] +Child 1 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#105, sum(sum_sales)#106, sum(number_sales)#107] +Child 2 Input [6]: [channel#47, i_brand_id#37, i_class_id#108, i_category_id#109, sum(sum_sales)#110, sum(number_sales)#111] +Child 3 Input [6]: [channel#47, i_brand_id#112, i_class_id#113, i_category_id#114, sum(sum_sales)#115, sum(number_sales)#116] +Child 4 Input [6]: [channel#117, i_brand_id#118, i_class_id#119, i_category_id#120, sum(sum_sales)#121, sum(number_sales)#122] + +(123) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] Functions: [] -Aggregate Attributes: [] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] -(136) CometColumnarExchange -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=17] +(124) CometExchange +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=17] -(137) CometHashAggregate -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] +(125) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] Functions: [] -(138) CometTakeOrderedAndProject -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#49 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#49,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#102,number_sales#103]), [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103], 100, 0, [channel#49 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] +(126) CometTakeOrderedAndProject +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#47 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#91,number_sales#92]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92], 100, 0, [channel#47 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] -(139) CometColumnarToRow [codegen id : 406] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#102, number_sales#103] +(127) CometColumnarToRow [codegen id : 376] +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#91, number_sales#92] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (159) -+- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- Union (155) - :- * Project (144) - : +- * BroadcastHashJoin Inner BuildRight (143) - : :- * ColumnarToRow (141) - : : +- Scan parquet spark_catalog.default.store_sales (140) - : +- ReusedExchange (142) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * ColumnarToRow (146) - : : +- Scan parquet spark_catalog.default.catalog_sales (145) - : +- ReusedExchange (147) - +- * Project (154) - +- * BroadcastHashJoin Inner BuildRight (153) - :- * ColumnarToRow (151) - : +- Scan parquet spark_catalog.default.web_sales (150) - +- ReusedExchange (152) - - -(140) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#154, ss_list_price#155, ss_sold_date_sk#156] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (147) ++- CometHashAggregate (146) + +- CometColumnarExchange (145) + +- * HashAggregate (144) + +- Union (143) + :- * Project (132) + : +- * BroadcastHashJoin Inner BuildRight (131) + : :- * ColumnarToRow (129) + : : +- Scan parquet spark_catalog.default.store_sales (128) + : +- ReusedExchange (130) + :- * Project (137) + : +- * BroadcastHashJoin Inner BuildRight (136) + : :- * ColumnarToRow (134) + : : +- Scan parquet spark_catalog.default.catalog_sales (133) + : +- ReusedExchange (135) + +- * Project (142) + +- * BroadcastHashJoin Inner BuildRight (141) + :- * ColumnarToRow (139) + : +- Scan parquet spark_catalog.default.web_sales (138) + +- ReusedExchange (140) + + +(128) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#123, ss_list_price#124, ss_sold_date_sk#125] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#156), dynamicpruningexpression(ss_sold_date_sk#156 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#125), dynamicpruningexpression(ss_sold_date_sk#125 IN dynamicpruning#12)] ReadSchema: struct -(141) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#154, ss_list_price#155, ss_sold_date_sk#156] +(129) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#123, ss_list_price#124, ss_sold_date_sk#125] -(142) ReusedExchange [Reuses operator id: 174] -Output [1]: [d_date_sk#157] +(130) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#126] -(143) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#156] -Right keys [1]: [d_date_sk#157] +(131) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#125] +Right keys [1]: [d_date_sk#126] Join type: Inner Join condition: None -(144) Project [codegen id : 2] -Output [2]: [ss_quantity#154 AS quantity#158, ss_list_price#155 AS list_price#159] -Input [4]: [ss_quantity#154, ss_list_price#155, ss_sold_date_sk#156, d_date_sk#157] +(132) Project [codegen id : 2] +Output [2]: [ss_quantity#123 AS quantity#127, ss_list_price#124 AS list_price#128] +Input [4]: [ss_quantity#123, ss_list_price#124, ss_sold_date_sk#125, d_date_sk#126] -(145) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#160, cs_list_price#161, cs_sold_date_sk#162] +(133) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#129, cs_list_price#130, cs_sold_date_sk#131] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#162), dynamicpruningexpression(cs_sold_date_sk#162 IN dynamicpruning#163)] +PartitionFilters: [isnotnull(cs_sold_date_sk#131), dynamicpruningexpression(cs_sold_date_sk#131 IN dynamicpruning#132)] ReadSchema: struct -(146) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#160, cs_list_price#161, cs_sold_date_sk#162] +(134) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#129, cs_list_price#130, cs_sold_date_sk#131] -(147) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#164] +(135) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#133] -(148) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#162] -Right keys [1]: [d_date_sk#164] +(136) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#131] +Right keys [1]: [d_date_sk#133] Join type: Inner Join condition: None -(149) Project [codegen id : 4] -Output [2]: [cs_quantity#160 AS quantity#165, cs_list_price#161 AS list_price#166] -Input [4]: [cs_quantity#160, cs_list_price#161, cs_sold_date_sk#162, d_date_sk#164] +(137) Project [codegen id : 4] +Output [2]: [cs_quantity#129 AS quantity#134, cs_list_price#130 AS list_price#135] +Input [4]: [cs_quantity#129, cs_list_price#130, cs_sold_date_sk#131, d_date_sk#133] -(150) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#167, ws_list_price#168, ws_sold_date_sk#169] +(138) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#136, ws_list_price#137, ws_sold_date_sk#138] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#169), dynamicpruningexpression(ws_sold_date_sk#169 IN dynamicpruning#163)] +PartitionFilters: [isnotnull(ws_sold_date_sk#138), dynamicpruningexpression(ws_sold_date_sk#138 IN dynamicpruning#132)] ReadSchema: struct -(151) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#167, ws_list_price#168, ws_sold_date_sk#169] +(139) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#136, ws_list_price#137, ws_sold_date_sk#138] -(152) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#170] +(140) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#139] -(153) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#169] -Right keys [1]: [d_date_sk#170] +(141) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#138] +Right keys [1]: [d_date_sk#139] Join type: Inner Join condition: None -(154) Project [codegen id : 6] -Output [2]: [ws_quantity#167 AS quantity#171, ws_list_price#168 AS list_price#172] -Input [4]: [ws_quantity#167, ws_list_price#168, ws_sold_date_sk#169, d_date_sk#170] +(142) Project [codegen id : 6] +Output [2]: [ws_quantity#136 AS quantity#140, ws_list_price#137 AS list_price#141] +Input [4]: [ws_quantity#136, ws_list_price#137, ws_sold_date_sk#138, d_date_sk#139] -(155) Union +(143) Union -(156) HashAggregate [codegen id : 7] -Input [2]: [quantity#158, list_price#159] +(144) HashAggregate [codegen id : 7] +Input [2]: [quantity#127, list_price#128] Keys: [] -Functions [1]: [partial_avg((cast(quantity#158 as decimal(10,0)) * list_price#159))] -Aggregate Attributes [2]: [sum#173, count#174] -Results [2]: [sum#175, count#176] +Functions [1]: [partial_avg((cast(quantity#127 as decimal(10,0)) * list_price#128))] +Aggregate Attributes [2]: [sum#142, count#143] +Results [2]: [sum#144, count#145] -(157) CometColumnarExchange -Input [2]: [sum#175, count#176] +(145) CometColumnarExchange +Input [2]: [sum#144, count#145] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=18] -(158) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#175, count#176] - -(159) HashAggregate [codegen id : 8] -Input [2]: [sum#175, count#176] +(146) CometHashAggregate +Input [2]: [sum#144, count#145] Keys: [] -Functions [1]: [avg((cast(quantity#158 as decimal(10,0)) * list_price#159))] -Aggregate Attributes [1]: [avg((cast(quantity#158 as decimal(10,0)) * list_price#159))#177] -Results [1]: [avg((cast(quantity#158 as decimal(10,0)) * list_price#159))#177 AS average_sales#178] +Functions [1]: [avg((cast(quantity#127 as decimal(10,0)) * list_price#128))] + +(147) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#146] -Subquery:2 Hosting operator id = 140 Hosting Expression = ss_sold_date_sk#156 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 128 Hosting Expression = ss_sold_date_sk#125 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 145 Hosting Expression = cs_sold_date_sk#162 IN dynamicpruning#163 -BroadcastExchange (164) -+- * CometColumnarToRow (163) - +- CometProject (162) - +- CometFilter (161) - +- CometNativeScan parquet spark_catalog.default.date_dim (160) +Subquery:3 Hosting operator id = 133 Hosting Expression = cs_sold_date_sk#131 IN dynamicpruning#132 +BroadcastExchange (152) ++- * CometColumnarToRow (151) + +- CometProject (150) + +- CometFilter (149) + +- CometNativeScan parquet spark_catalog.default.date_dim (148) -(160) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#164, d_year#179] +(148) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#133, d_year#147] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(161) CometFilter -Input [2]: [d_date_sk#164, d_year#179] -Condition : (((isnotnull(d_year#179) AND (d_year#179 >= 1998)) AND (d_year#179 <= 2000)) AND isnotnull(d_date_sk#164)) +(149) CometFilter +Input [2]: [d_date_sk#133, d_year#147] +Condition : (((isnotnull(d_year#147) AND (d_year#147 >= 1998)) AND (d_year#147 <= 2000)) AND isnotnull(d_date_sk#133)) -(162) CometProject -Input [2]: [d_date_sk#164, d_year#179] -Arguments: [d_date_sk#164], [d_date_sk#164] +(150) CometProject +Input [2]: [d_date_sk#133, d_year#147] +Arguments: [d_date_sk#133], [d_date_sk#133] -(163) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#164] +(151) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#133] -(164) BroadcastExchange -Input [1]: [d_date_sk#164] +(152) BroadcastExchange +Input [1]: [d_date_sk#133] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=19] -Subquery:4 Hosting operator id = 150 Hosting Expression = ws_sold_date_sk#169 IN dynamicpruning#163 +Subquery:4 Hosting operator id = 138 Hosting Expression = ws_sold_date_sk#138 IN dynamicpruning#132 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (169) -+- * CometColumnarToRow (168) - +- CometProject (167) - +- CometFilter (166) - +- CometNativeScan parquet spark_catalog.default.date_dim (165) +BroadcastExchange (157) ++- * CometColumnarToRow (156) + +- CometProject (155) + +- CometFilter (154) + +- CometNativeScan parquet spark_catalog.default.date_dim (153) -(165) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#180, d_moy#181] +(153) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#148, d_moy#149] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(166) CometFilter -Input [3]: [d_date_sk#40, d_year#180, d_moy#181] -Condition : ((((isnotnull(d_year#180) AND isnotnull(d_moy#181)) AND (d_year#180 = 2000)) AND (d_moy#181 = 11)) AND isnotnull(d_date_sk#40)) +(154) CometFilter +Input [3]: [d_date_sk#40, d_year#148, d_moy#149] +Condition : ((((isnotnull(d_year#148) AND isnotnull(d_moy#149)) AND (d_year#148 = 2000)) AND (d_moy#149 = 11)) AND isnotnull(d_date_sk#40)) -(167) CometProject -Input [3]: [d_date_sk#40, d_year#180, d_moy#181] +(155) CometProject +Input [3]: [d_date_sk#40, d_year#148, d_moy#149] Arguments: [d_date_sk#40], [d_date_sk#40] -(168) CometColumnarToRow [codegen id : 1] +(156) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(169) BroadcastExchange +(157) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=20] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (174) -+- * CometColumnarToRow (173) - +- CometProject (172) - +- CometFilter (171) - +- CometNativeScan parquet spark_catalog.default.date_dim (170) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(170) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#182] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#150] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(171) CometFilter -Input [2]: [d_date_sk#24, d_year#182] -Condition : (((isnotnull(d_year#182) AND (d_year#182 >= 1999)) AND (d_year#182 <= 2001)) AND isnotnull(d_date_sk#24)) +(159) CometFilter +Input [2]: [d_date_sk#24, d_year#150] +Condition : (((isnotnull(d_year#150) AND (d_year#150 >= 1999)) AND (d_year#150 <= 2001)) AND isnotnull(d_date_sk#24)) -(172) CometProject -Input [2]: [d_date_sk#24, d_year#182] +(160) CometProject +Input [2]: [d_date_sk#24, d_year#150] Arguments: [d_date_sk#24], [d_date_sk#24] -(173) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(174) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=21] @@ -1009,12 +931,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:9 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#57 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 68 Hosting Expression = cs_sold_date_sk#55 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 100 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:11 Hosting operator id = 97 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#77 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#73 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/extended.txt index c6478057d9..5ff98541e8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/extended.txt @@ -1,2779 +1,2755 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Filter - : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 842 out of 2302 eligible operators (36%). Final plan contains 475 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 902 out of 2302 eligible operators (39%). Final plan contains 451 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/simplified.txt index 4458723393..22a040e61e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q14a.native_datafusion/simplified.txt @@ -1,276 +1,236 @@ -WholeStageCodegen (406) +WholeStageCodegen (376) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 - WholeStageCodegen (405) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - InputAdapter - Union - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - InputAdapter - Union - WholeStageCodegen (26) - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #14 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #8 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #15 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #15 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id] #2 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #14 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #8 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #15 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #15 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #7 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #7 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (1) CometColumnarToRow InputAdapter CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 - InputAdapter - ReusedExchange [d_date_sk] #8 + ReusedExchange [d_date_sk] #8 + InputAdapter + ReusedExchange [d_date_sk] #8 InputAdapter - BroadcastExchange #13 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #12 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (52) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (78) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (161) - HashAggregate [channel,i_brand_id,i_class_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id] #18 - WholeStageCodegen (160) - HashAggregate [channel,i_brand_id,i_class_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (242) - HashAggregate [channel,i_brand_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id] #19 - WholeStageCodegen (241) - HashAggregate [channel,i_brand_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #8 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #5 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (323) - HashAggregate [channel,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #20 - WholeStageCodegen (322) - HashAggregate [channel,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (404) - HashAggregate [sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #21 - WholeStageCodegen (403) - HashAggregate [sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id] #18 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,i_class_id,sum,isEmpty,sum] + CometHashAggregate [i_category_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id] #19 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,sum,isEmpty,sum] + CometHashAggregate [i_class_id,i_category_id,sum,isEmpty,sum] [channel,i_brand_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel] #20 + CometHashAggregate [sum_sales,number_sales] [channel,sum,isEmpty,sum] + CometHashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [channel,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange #21 + CometHashAggregate [sum_sales,number_sales] [sum,isEmpty,sum] + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/explain.txt index 6f109523cf..def954e805 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/explain.txt @@ -1,165 +1,161 @@ == Physical Plan == -TakeOrderedAndProject (161) -+- Union (160) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (33) - : : +- * BroadcastHashJoin Inner BuildRight (32) - : : :- * Project (30) - : : : +- * BroadcastHashJoin Inner BuildRight (29) - : : : :- * Project (23) - : : : : +- * BroadcastHashJoin Inner BuildRight (22) - : : : : :- * Project (17) - : : : : : +- * BroadcastHashJoin Inner BuildRight (16) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * CometColumnarToRow (7) - : : : : : : +- CometProject (6) - : : : : : : +- CometFilter (5) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : : : +- BroadcastExchange (15) - : : : : : +- * CometColumnarToRow (14) - : : : : : +- CometProject (13) - : : : : : +- CometFilter (12) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) - : : : : +- BroadcastExchange (21) - : : : : +- * CometColumnarToRow (20) - : : : : +- CometFilter (19) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) - : : : +- BroadcastExchange (28) - : : : +- * CometColumnarToRow (27) - : : : +- CometProject (26) - : : : +- CometFilter (25) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) - : : +- ReusedExchange (31) - : +- BroadcastExchange (38) - : +- * CometColumnarToRow (37) - : +- CometProject (36) - : +- CometFilter (35) - : +- CometNativeScan parquet spark_catalog.default.item (34) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * Project (66) - : : +- * BroadcastHashJoin Inner BuildRight (65) - : : :- * Project (63) - : : : +- * BroadcastHashJoin Inner BuildRight (62) - : : : :- * Project (56) - : : : : +- * BroadcastHashJoin Inner BuildRight (55) - : : : : :- * Project (53) - : : : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : : : :- * Project (50) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : : : :- * Filter (47) - : : : : : : : +- * ColumnarToRow (46) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (45) - : : : : : : +- ReusedExchange (48) - : : : : : +- ReusedExchange (51) - : : : : +- ReusedExchange (54) - : : : +- BroadcastExchange (61) - : : : +- * CometColumnarToRow (60) - : : : +- CometProject (59) - : : : +- CometFilter (58) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (57) - : : +- ReusedExchange (64) - : +- ReusedExchange (67) - :- * HashAggregate (102) - : +- * CometColumnarToRow (101) - : +- CometColumnarExchange (100) - : +- * HashAggregate (99) - : +- * Project (98) - : +- * BroadcastHashJoin Inner BuildRight (97) - : :- * Project (95) - : : +- * BroadcastHashJoin Inner BuildRight (94) - : : :- * Project (92) - : : : +- * BroadcastHashJoin Inner BuildRight (91) - : : : :- * Project (85) - : : : : +- * BroadcastHashJoin Inner BuildRight (84) - : : : : :- * Project (82) - : : : : : +- * BroadcastHashJoin Inner BuildRight (81) - : : : : : :- * Project (79) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (78) - : : : : : : :- * Filter (76) - : : : : : : : +- * ColumnarToRow (75) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (74) - : : : : : : +- ReusedExchange (77) - : : : : : +- ReusedExchange (80) - : : : : +- ReusedExchange (83) - : : : +- BroadcastExchange (90) - : : : +- * CometColumnarToRow (89) - : : : +- CometProject (88) - : : : +- CometFilter (87) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (86) - : : +- ReusedExchange (93) - : +- ReusedExchange (96) - :- * HashAggregate (131) - : +- * CometColumnarToRow (130) - : +- CometColumnarExchange (129) - : +- * HashAggregate (128) - : +- * Project (127) - : +- * BroadcastHashJoin Inner BuildRight (126) - : :- * Project (124) - : : +- * BroadcastHashJoin Inner BuildRight (123) - : : :- * Project (121) - : : : +- * BroadcastHashJoin Inner BuildRight (120) - : : : :- * Project (114) - : : : : +- * BroadcastHashJoin Inner BuildRight (113) - : : : : :- * Project (111) - : : : : : +- * BroadcastHashJoin Inner BuildRight (110) - : : : : : :- * Project (108) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (107) - : : : : : : :- * Filter (105) - : : : : : : : +- * ColumnarToRow (104) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (103) - : : : : : : +- ReusedExchange (106) - : : : : : +- ReusedExchange (109) - : : : : +- ReusedExchange (112) - : : : +- BroadcastExchange (119) - : : : +- * CometColumnarToRow (118) - : : : +- CometProject (117) - : : : +- CometFilter (116) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (115) - : : +- ReusedExchange (122) - : +- ReusedExchange (125) - +- * HashAggregate (159) - +- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- * Project (155) - +- * BroadcastHashJoin Inner BuildRight (154) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * Project (146) - : : +- * BroadcastHashJoin Inner BuildRight (145) - : : :- * Project (143) - : : : +- * BroadcastHashJoin Inner BuildRight (142) - : : : :- * Project (140) - : : : : +- * BroadcastHashJoin Inner BuildRight (139) - : : : : :- * Project (137) - : : : : : +- * BroadcastHashJoin Inner BuildRight (136) - : : : : : :- * Filter (134) - : : : : : : +- * ColumnarToRow (133) - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (132) - : : : : : +- ReusedExchange (135) - : : : : +- ReusedExchange (138) - : : : +- ReusedExchange (141) - : : +- ReusedExchange (144) - : +- ReusedExchange (147) - +- BroadcastExchange (153) - +- * CometColumnarToRow (152) - +- CometFilter (151) - +- CometNativeScan parquet spark_catalog.default.item (150) +* CometColumnarToRow (157) ++- CometTakeOrderedAndProject (156) + +- CometUnion (155) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Project (30) + : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : :- * Project (23) + : : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : : :- * Project (17) + : : : : : +- * BroadcastHashJoin Inner BuildRight (16) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * CometColumnarToRow (7) + : : : : : : +- CometProject (6) + : : : : : : +- CometFilter (5) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : : : +- BroadcastExchange (15) + : : : : : +- * CometColumnarToRow (14) + : : : : : +- CometProject (13) + : : : : : +- CometFilter (12) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) + : : : : +- BroadcastExchange (21) + : : : : +- * CometColumnarToRow (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) + : : : +- BroadcastExchange (28) + : : : +- * CometColumnarToRow (27) + : : : +- CometProject (26) + : : : +- CometFilter (25) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) + : : +- ReusedExchange (31) + : +- BroadcastExchange (38) + : +- * CometColumnarToRow (37) + : +- CometProject (36) + : +- CometFilter (35) + : +- CometNativeScan parquet spark_catalog.default.item (34) + :- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (65) + : : +- * BroadcastHashJoin Inner BuildRight (64) + : : :- * Project (62) + : : : +- * BroadcastHashJoin Inner BuildRight (61) + : : : :- * Project (55) + : : : : +- * BroadcastHashJoin Inner BuildRight (54) + : : : : :- * Project (52) + : : : : : +- * BroadcastHashJoin Inner BuildRight (51) + : : : : : :- * Project (49) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (48) + : : : : : : :- * Filter (46) + : : : : : : : +- * ColumnarToRow (45) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (44) + : : : : : : +- ReusedExchange (47) + : : : : : +- ReusedExchange (50) + : : : : +- ReusedExchange (53) + : : : +- BroadcastExchange (60) + : : : +- * CometColumnarToRow (59) + : : : +- CometProject (58) + : : : +- CometFilter (57) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (56) + : : +- ReusedExchange (63) + : +- ReusedExchange (66) + :- CometHashAggregate (99) + : +- CometColumnarExchange (98) + : +- * HashAggregate (97) + : +- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * Project (93) + : : +- * BroadcastHashJoin Inner BuildRight (92) + : : :- * Project (90) + : : : +- * BroadcastHashJoin Inner BuildRight (89) + : : : :- * Project (83) + : : : : +- * BroadcastHashJoin Inner BuildRight (82) + : : : : :- * Project (80) + : : : : : +- * BroadcastHashJoin Inner BuildRight (79) + : : : : : :- * Project (77) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (76) + : : : : : : :- * Filter (74) + : : : : : : : +- * ColumnarToRow (73) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (72) + : : : : : : +- ReusedExchange (75) + : : : : : +- ReusedExchange (78) + : : : : +- ReusedExchange (81) + : : : +- BroadcastExchange (88) + : : : +- * CometColumnarToRow (87) + : : : +- CometProject (86) + : : : +- CometFilter (85) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (84) + : : +- ReusedExchange (91) + : +- ReusedExchange (94) + :- CometHashAggregate (127) + : +- CometColumnarExchange (126) + : +- * HashAggregate (125) + : +- * Project (124) + : +- * BroadcastHashJoin Inner BuildRight (123) + : :- * Project (121) + : : +- * BroadcastHashJoin Inner BuildRight (120) + : : :- * Project (118) + : : : +- * BroadcastHashJoin Inner BuildRight (117) + : : : :- * Project (111) + : : : : +- * BroadcastHashJoin Inner BuildRight (110) + : : : : :- * Project (108) + : : : : : +- * BroadcastHashJoin Inner BuildRight (107) + : : : : : :- * Project (105) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (104) + : : : : : : :- * Filter (102) + : : : : : : : +- * ColumnarToRow (101) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (100) + : : : : : : +- ReusedExchange (103) + : : : : : +- ReusedExchange (106) + : : : : +- ReusedExchange (109) + : : : +- BroadcastExchange (116) + : : : +- * CometColumnarToRow (115) + : : : +- CometProject (114) + : : : +- CometFilter (113) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (112) + : : +- ReusedExchange (119) + : +- ReusedExchange (122) + +- CometHashAggregate (154) + +- CometColumnarExchange (153) + +- * HashAggregate (152) + +- * Project (151) + +- * BroadcastHashJoin Inner BuildRight (150) + :- * Project (145) + : +- * BroadcastHashJoin Inner BuildRight (144) + : :- * Project (142) + : : +- * BroadcastHashJoin Inner BuildRight (141) + : : :- * Project (139) + : : : +- * BroadcastHashJoin Inner BuildRight (138) + : : : :- * Project (136) + : : : : +- * BroadcastHashJoin Inner BuildRight (135) + : : : : :- * Project (133) + : : : : : +- * BroadcastHashJoin Inner BuildRight (132) + : : : : : :- * Filter (130) + : : : : : : +- * ColumnarToRow (129) + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (128) + : : : : : +- ReusedExchange (131) + : : : : +- ReusedExchange (134) + : : : +- ReusedExchange (137) + : : +- ReusedExchange (140) + : +- ReusedExchange (143) + +- BroadcastExchange (149) + +- * CometColumnarToRow (148) + +- CometFilter (147) + +- CometNativeScan parquet spark_catalog.default.item (146) (1) Scan parquet spark_catalog.default.catalog_sales @@ -301,7 +297,7 @@ Join condition: None Output [12]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#25, ca_country#24] Input [14]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_addr_sk#17, c_birth_year#19, ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24] -(31) ReusedExchange [Reuses operator id: 166] +(31) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#26] (32) BroadcastHashJoin [codegen id : 7] @@ -357,588 +353,571 @@ Results [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, c Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Keys [4]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#69, avg(agg2#35)#70, avg(agg3#36)#71, avg(agg4#37)#72, avg(agg5#38)#73, avg(agg6#39)#74, avg(agg7#40)#75] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(agg1#34)#69 AS agg1#76, avg(agg2#35)#70 AS agg2#77, avg(agg3#36)#71 AS agg3#78, avg(agg4#37)#72 AS agg4#79, avg(agg5#38)#73 AS agg5#80, avg(agg6#39)#74 AS agg6#81, avg(agg7#40)#75 AS agg7#82] -(45) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(44) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#91), dynamicpruningexpression(cs_sold_date_sk#91 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#77), dynamicpruningexpression(cs_sold_date_sk#77 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(46) ColumnarToRow [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(45) ColumnarToRow [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] -(47) Filter [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] -Condition : ((isnotnull(cs_bill_cdemo_sk#84) AND isnotnull(cs_bill_customer_sk#83)) AND isnotnull(cs_item_sk#85)) +(46) Filter [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] +Condition : ((isnotnull(cs_bill_cdemo_sk#70) AND isnotnull(cs_bill_customer_sk#69)) AND isnotnull(cs_item_sk#71)) -(48) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#92, cd_dep_count#93] +(47) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#78, cd_dep_count#79] -(49) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_cdemo_sk#84] -Right keys [1]: [cd_demo_sk#92] +(48) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_cdemo_sk#70] +Right keys [1]: [cd_demo_sk#78] Join type: Inner Join condition: None -(50) Project [codegen id : 15] -Output [9]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93] -Input [11]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_demo_sk#92, cd_dep_count#93] +(49) Project [codegen id : 14] +Output [9]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79] +Input [11]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_demo_sk#78, cd_dep_count#79] -(51) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(50) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(52) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_customer_sk#83] -Right keys [1]: [c_customer_sk#94] +(51) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_customer_sk#69] +Right keys [1]: [c_customer_sk#80] Join type: Inner Join condition: None -(53) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] -Input [13]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(52) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] +Input [13]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(54) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#98] +(53) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#84] -(55) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_cdemo_sk#95] -Right keys [1]: [cd_demo_sk#98] +(54) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_cdemo_sk#81] +Right keys [1]: [cd_demo_sk#84] Join type: Inner Join condition: None -(56) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97, cd_demo_sk#98] +(55) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83, cd_demo_sk#84] -(57) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#99, ca_state#100, ca_country#101] +(56) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#85, ca_state#86, ca_country#87] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(58) CometFilter -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#99)) +(57) CometFilter +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#86, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#85)) -(59) CometProject -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Arguments: [ca_address_sk#99, ca_state#25, ca_country#101], [ca_address_sk#99, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) AS ca_state#25, ca_country#101] +(58) CometProject +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Arguments: [ca_address_sk#85, ca_state#25, ca_country#87], [ca_address_sk#85, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#86, 2, true, false, true) AS ca_state#25, ca_country#87] -(60) CometColumnarToRow [codegen id : 12] -Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101] +(59) CometColumnarToRow [codegen id : 11] +Input [3]: [ca_address_sk#85, ca_state#25, ca_country#87] -(61) BroadcastExchange -Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101] +(60) BroadcastExchange +Input [3]: [ca_address_sk#85, ca_state#25, ca_country#87] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -(62) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_addr_sk#96] -Right keys [1]: [ca_address_sk#99] +(61) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_addr_sk#82] +Right keys [1]: [ca_address_sk#85] Join type: Inner Join condition: None -(63) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101] -Input [13]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97, ca_address_sk#99, ca_state#25, ca_country#101] +(62) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87] +Input [13]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83, ca_address_sk#85, ca_state#25, ca_country#87] -(64) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#102] +(63) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#88] -(65) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_sold_date_sk#91] -Right keys [1]: [d_date_sk#102] +(64) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_sold_date_sk#77] +Right keys [1]: [d_date_sk#88] Join type: Inner Join condition: None -(66) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, d_date_sk#102] +(65) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87, d_date_sk#88] -(67) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#103, i_item_id#29] +(66) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#89, i_item_id#29] -(68) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_item_sk#85] -Right keys [1]: [i_item_sk#103] +(67) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_item_sk#71] +Right keys [1]: [i_item_sk#89] Join type: Inner Join condition: None -(69) Project [codegen id : 15] -Output [10]: [i_item_id#29, ca_country#101, ca_state#25, cast(cs_quantity#86 as decimal(12,2)) AS agg1#34, cast(cs_list_price#87 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#89 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#88 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#90 as decimal(12,2)) AS agg5#38, cast(c_birth_year#97 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#93 as decimal(12,2)) AS agg7#40] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, i_item_sk#103, i_item_id#29] +(68) Project [codegen id : 14] +Output [10]: [i_item_id#29, ca_country#87, ca_state#25, cast(cs_quantity#72 as decimal(12,2)) AS agg1#34, cast(cs_list_price#73 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#75 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#74 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#76 as decimal(12,2)) AS agg5#38, cast(c_birth_year#83 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#79 as decimal(12,2)) AS agg7#40] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87, i_item_sk#89, i_item_id#29] -(70) HashAggregate [codegen id : 15] -Input [10]: [i_item_id#29, ca_country#101, ca_state#25, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] -Keys [3]: [i_item_id#29, ca_country#101, ca_state#25] +(69) HashAggregate [codegen id : 14] +Input [10]: [i_item_id#29, ca_country#87, ca_state#25, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] +Keys [3]: [i_item_id#29, ca_country#87, ca_state#25] Functions [7]: [partial_avg(agg1#34), partial_avg(agg2#35), partial_avg(agg3#36), partial_avg(agg4#37), partial_avg(agg5#38), partial_avg(agg6#39), partial_avg(agg7#40)] -Aggregate Attributes [14]: [sum#104, count#105, sum#106, count#107, sum#108, count#109, sum#110, count#111, sum#112, count#113, sum#114, count#115, sum#116, count#117] -Results [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#118, count#119, sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127, sum#128, count#129, sum#130, count#131] +Aggregate Attributes [14]: [sum#90, count#91, sum#92, count#93, sum#94, count#95, sum#96, count#97, sum#98, count#99, sum#100, count#101, sum#102, count#103] +Results [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#104, count#105, sum#106, count#107, sum#108, count#109, sum#110, count#111, sum#112, count#113, sum#114, count#115, sum#116, count#117] -(71) CometColumnarExchange -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#118, count#119, sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127, sum#128, count#129, sum#130, count#131] -Arguments: hashpartitioning(i_item_id#29, ca_country#101, ca_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(70) CometColumnarExchange +Input [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#104, count#105, sum#106, count#107, sum#108, count#109, sum#110, count#111, sum#112, count#113, sum#114, count#115, sum#116, count#117] +Arguments: hashpartitioning(i_item_id#29, ca_country#87, ca_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(72) CometColumnarToRow [codegen id : 16] -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#118, count#119, sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127, sum#128, count#129, sum#130, count#131] - -(73) HashAggregate [codegen id : 16] -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#118, count#119, sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127, sum#128, count#129, sum#130, count#131] -Keys [3]: [i_item_id#29, ca_country#101, ca_state#25] +(71) CometHashAggregate +Input [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#104, count#105, sum#106, count#107, sum#108, count#109, sum#110, count#111, sum#112, count#113, sum#114, count#115, sum#116, count#117] +Keys [3]: [i_item_id#29, ca_country#87, ca_state#25] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#132, avg(agg2#35)#133, avg(agg3#36)#134, avg(agg4#37)#135, avg(agg5#38)#136, avg(agg6#39)#137, avg(agg7#40)#138] -Results [11]: [i_item_id#29, ca_country#101, ca_state#25, null AS county#139, avg(agg1#34)#132 AS agg1#140, avg(agg2#35)#133 AS agg2#141, avg(agg3#36)#134 AS agg3#142, avg(agg4#37)#135 AS agg4#143, avg(agg5#38)#136 AS agg5#144, avg(agg6#39)#137 AS agg6#145, avg(agg7#40)#138 AS agg7#146] -(74) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#147, cs_bill_cdemo_sk#148, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155] +(72) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#118, cs_bill_cdemo_sk#119, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#155), dynamicpruningexpression(cs_sold_date_sk#155 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#126), dynamicpruningexpression(cs_sold_date_sk#126 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(75) ColumnarToRow [codegen id : 23] -Input [9]: [cs_bill_customer_sk#147, cs_bill_cdemo_sk#148, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155] +(73) ColumnarToRow [codegen id : 21] +Input [9]: [cs_bill_customer_sk#118, cs_bill_cdemo_sk#119, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126] -(76) Filter [codegen id : 23] -Input [9]: [cs_bill_customer_sk#147, cs_bill_cdemo_sk#148, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155] -Condition : ((isnotnull(cs_bill_cdemo_sk#148) AND isnotnull(cs_bill_customer_sk#147)) AND isnotnull(cs_item_sk#149)) +(74) Filter [codegen id : 21] +Input [9]: [cs_bill_customer_sk#118, cs_bill_cdemo_sk#119, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126] +Condition : ((isnotnull(cs_bill_cdemo_sk#119) AND isnotnull(cs_bill_customer_sk#118)) AND isnotnull(cs_item_sk#120)) -(77) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#156, cd_dep_count#157] +(75) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#127, cd_dep_count#128] -(78) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_cdemo_sk#148] -Right keys [1]: [cd_demo_sk#156] +(76) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_cdemo_sk#119] +Right keys [1]: [cd_demo_sk#127] Join type: Inner Join condition: None -(79) Project [codegen id : 23] -Output [9]: [cs_bill_customer_sk#147, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157] -Input [11]: [cs_bill_customer_sk#147, cs_bill_cdemo_sk#148, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_demo_sk#156, cd_dep_count#157] +(77) Project [codegen id : 21] +Output [9]: [cs_bill_customer_sk#118, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128] +Input [11]: [cs_bill_customer_sk#118, cs_bill_cdemo_sk#119, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_demo_sk#127, cd_dep_count#128] -(80) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#158, c_current_cdemo_sk#159, c_current_addr_sk#160, c_birth_year#161] +(78) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#129, c_current_cdemo_sk#130, c_current_addr_sk#131, c_birth_year#132] -(81) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_customer_sk#147] -Right keys [1]: [c_customer_sk#158] +(79) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_customer_sk#118] +Right keys [1]: [c_customer_sk#129] Join type: Inner Join condition: None -(82) Project [codegen id : 23] -Output [11]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_current_cdemo_sk#159, c_current_addr_sk#160, c_birth_year#161] -Input [13]: [cs_bill_customer_sk#147, cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_customer_sk#158, c_current_cdemo_sk#159, c_current_addr_sk#160, c_birth_year#161] +(80) Project [codegen id : 21] +Output [11]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_current_cdemo_sk#130, c_current_addr_sk#131, c_birth_year#132] +Input [13]: [cs_bill_customer_sk#118, cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_customer_sk#129, c_current_cdemo_sk#130, c_current_addr_sk#131, c_birth_year#132] -(83) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#162] +(81) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#133] -(84) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_cdemo_sk#159] -Right keys [1]: [cd_demo_sk#162] +(82) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_cdemo_sk#130] +Right keys [1]: [cd_demo_sk#133] Join type: Inner Join condition: None -(85) Project [codegen id : 23] -Output [10]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_current_addr_sk#160, c_birth_year#161] -Input [12]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_current_cdemo_sk#159, c_current_addr_sk#160, c_birth_year#161, cd_demo_sk#162] +(83) Project [codegen id : 21] +Output [10]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_current_addr_sk#131, c_birth_year#132] +Input [12]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_current_cdemo_sk#130, c_current_addr_sk#131, c_birth_year#132, cd_demo_sk#133] -(86) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#163, ca_state#164, ca_country#165] +(84) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#134, ca_state#135, ca_country#136] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(87) CometFilter -Input [3]: [ca_address_sk#163, ca_state#164, ca_country#165] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#164, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#163)) +(85) CometFilter +Input [3]: [ca_address_sk#134, ca_state#135, ca_country#136] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#135, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#134)) -(88) CometProject -Input [3]: [ca_address_sk#163, ca_state#164, ca_country#165] -Arguments: [ca_address_sk#163, ca_country#165], [ca_address_sk#163, ca_country#165] +(86) CometProject +Input [3]: [ca_address_sk#134, ca_state#135, ca_country#136] +Arguments: [ca_address_sk#134, ca_country#136], [ca_address_sk#134, ca_country#136] -(89) CometColumnarToRow [codegen id : 20] -Input [2]: [ca_address_sk#163, ca_country#165] +(87) CometColumnarToRow [codegen id : 18] +Input [2]: [ca_address_sk#134, ca_country#136] -(90) BroadcastExchange -Input [2]: [ca_address_sk#163, ca_country#165] +(88) BroadcastExchange +Input [2]: [ca_address_sk#134, ca_country#136] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -(91) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_addr_sk#160] -Right keys [1]: [ca_address_sk#163] +(89) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_addr_sk#131] +Right keys [1]: [ca_address_sk#134] Join type: Inner Join condition: None -(92) Project [codegen id : 23] -Output [10]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_birth_year#161, ca_country#165] -Input [12]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_current_addr_sk#160, c_birth_year#161, ca_address_sk#163, ca_country#165] +(90) Project [codegen id : 21] +Output [10]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_birth_year#132, ca_country#136] +Input [12]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_current_addr_sk#131, c_birth_year#132, ca_address_sk#134, ca_country#136] -(93) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#166] +(91) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#137] -(94) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_sold_date_sk#155] -Right keys [1]: [d_date_sk#166] +(92) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_sold_date_sk#126] +Right keys [1]: [d_date_sk#137] Join type: Inner Join condition: None -(95) Project [codegen id : 23] -Output [9]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cd_dep_count#157, c_birth_year#161, ca_country#165] -Input [11]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cs_sold_date_sk#155, cd_dep_count#157, c_birth_year#161, ca_country#165, d_date_sk#166] +(93) Project [codegen id : 21] +Output [9]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cd_dep_count#128, c_birth_year#132, ca_country#136] +Input [11]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cs_sold_date_sk#126, cd_dep_count#128, c_birth_year#132, ca_country#136, d_date_sk#137] -(96) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#167, i_item_id#29] +(94) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#138, i_item_id#29] -(97) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_item_sk#149] -Right keys [1]: [i_item_sk#167] +(95) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_item_sk#120] +Right keys [1]: [i_item_sk#138] Join type: Inner Join condition: None -(98) Project [codegen id : 23] -Output [9]: [i_item_id#29, ca_country#165, cast(cs_quantity#150 as decimal(12,2)) AS agg1#34, cast(cs_list_price#151 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#153 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#152 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#154 as decimal(12,2)) AS agg5#38, cast(c_birth_year#161 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#157 as decimal(12,2)) AS agg7#40] -Input [11]: [cs_item_sk#149, cs_quantity#150, cs_list_price#151, cs_sales_price#152, cs_coupon_amt#153, cs_net_profit#154, cd_dep_count#157, c_birth_year#161, ca_country#165, i_item_sk#167, i_item_id#29] +(96) Project [codegen id : 21] +Output [9]: [i_item_id#29, ca_country#136, cast(cs_quantity#121 as decimal(12,2)) AS agg1#34, cast(cs_list_price#122 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#124 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#123 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#125 as decimal(12,2)) AS agg5#38, cast(c_birth_year#132 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#128 as decimal(12,2)) AS agg7#40] +Input [11]: [cs_item_sk#120, cs_quantity#121, cs_list_price#122, cs_sales_price#123, cs_coupon_amt#124, cs_net_profit#125, cd_dep_count#128, c_birth_year#132, ca_country#136, i_item_sk#138, i_item_id#29] -(99) HashAggregate [codegen id : 23] -Input [9]: [i_item_id#29, ca_country#165, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] -Keys [2]: [i_item_id#29, ca_country#165] +(97) HashAggregate [codegen id : 21] +Input [9]: [i_item_id#29, ca_country#136, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] +Keys [2]: [i_item_id#29, ca_country#136] Functions [7]: [partial_avg(agg1#34), partial_avg(agg2#35), partial_avg(agg3#36), partial_avg(agg4#37), partial_avg(agg5#38), partial_avg(agg6#39), partial_avg(agg7#40)] -Aggregate Attributes [14]: [sum#168, count#169, sum#170, count#171, sum#172, count#173, sum#174, count#175, sum#176, count#177, sum#178, count#179, sum#180, count#181] -Results [16]: [i_item_id#29, ca_country#165, sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195] - -(100) CometColumnarExchange -Input [16]: [i_item_id#29, ca_country#165, sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195] -Arguments: hashpartitioning(i_item_id#29, ca_country#165, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Aggregate Attributes [14]: [sum#139, count#140, sum#141, count#142, sum#143, count#144, sum#145, count#146, sum#147, count#148, sum#149, count#150, sum#151, count#152] +Results [16]: [i_item_id#29, ca_country#136, sum#153, count#154, sum#155, count#156, sum#157, count#158, sum#159, count#160, sum#161, count#162, sum#163, count#164, sum#165, count#166] -(101) CometColumnarToRow [codegen id : 24] -Input [16]: [i_item_id#29, ca_country#165, sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195] +(98) CometColumnarExchange +Input [16]: [i_item_id#29, ca_country#136, sum#153, count#154, sum#155, count#156, sum#157, count#158, sum#159, count#160, sum#161, count#162, sum#163, count#164, sum#165, count#166] +Arguments: hashpartitioning(i_item_id#29, ca_country#136, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(102) HashAggregate [codegen id : 24] -Input [16]: [i_item_id#29, ca_country#165, sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195] -Keys [2]: [i_item_id#29, ca_country#165] +(99) CometHashAggregate +Input [16]: [i_item_id#29, ca_country#136, sum#153, count#154, sum#155, count#156, sum#157, count#158, sum#159, count#160, sum#161, count#162, sum#163, count#164, sum#165, count#166] +Keys [2]: [i_item_id#29, ca_country#136] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#196, avg(agg2#35)#197, avg(agg3#36)#198, avg(agg4#37)#199, avg(agg5#38)#200, avg(agg6#39)#201, avg(agg7#40)#202] -Results [11]: [i_item_id#29, ca_country#165, null AS ca_state#203, null AS county#204, avg(agg1#34)#196 AS agg1#205, avg(agg2#35)#197 AS agg2#206, avg(agg3#36)#198 AS agg3#207, avg(agg4#37)#199 AS agg4#208, avg(agg5#38)#200 AS agg5#209, avg(agg6#39)#201 AS agg6#210, avg(agg7#40)#202 AS agg7#211] -(103) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#212, cs_bill_cdemo_sk#213, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220] +(100) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#167, cs_bill_cdemo_sk#168, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#220), dynamicpruningexpression(cs_sold_date_sk#220 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#175), dynamicpruningexpression(cs_sold_date_sk#175 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(104) ColumnarToRow [codegen id : 31] -Input [9]: [cs_bill_customer_sk#212, cs_bill_cdemo_sk#213, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220] +(101) ColumnarToRow [codegen id : 28] +Input [9]: [cs_bill_customer_sk#167, cs_bill_cdemo_sk#168, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175] -(105) Filter [codegen id : 31] -Input [9]: [cs_bill_customer_sk#212, cs_bill_cdemo_sk#213, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220] -Condition : ((isnotnull(cs_bill_cdemo_sk#213) AND isnotnull(cs_bill_customer_sk#212)) AND isnotnull(cs_item_sk#214)) +(102) Filter [codegen id : 28] +Input [9]: [cs_bill_customer_sk#167, cs_bill_cdemo_sk#168, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175] +Condition : ((isnotnull(cs_bill_cdemo_sk#168) AND isnotnull(cs_bill_customer_sk#167)) AND isnotnull(cs_item_sk#169)) -(106) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#221, cd_dep_count#222] +(103) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#176, cd_dep_count#177] -(107) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_cdemo_sk#213] -Right keys [1]: [cd_demo_sk#221] +(104) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_cdemo_sk#168] +Right keys [1]: [cd_demo_sk#176] Join type: Inner Join condition: None -(108) Project [codegen id : 31] -Output [9]: [cs_bill_customer_sk#212, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222] -Input [11]: [cs_bill_customer_sk#212, cs_bill_cdemo_sk#213, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_demo_sk#221, cd_dep_count#222] +(105) Project [codegen id : 28] +Output [9]: [cs_bill_customer_sk#167, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177] +Input [11]: [cs_bill_customer_sk#167, cs_bill_cdemo_sk#168, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_demo_sk#176, cd_dep_count#177] -(109) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#223, c_current_cdemo_sk#224, c_current_addr_sk#225, c_birth_year#226] +(106) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#178, c_current_cdemo_sk#179, c_current_addr_sk#180, c_birth_year#181] -(110) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_customer_sk#212] -Right keys [1]: [c_customer_sk#223] +(107) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_customer_sk#167] +Right keys [1]: [c_customer_sk#178] Join type: Inner Join condition: None -(111) Project [codegen id : 31] -Output [11]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_current_cdemo_sk#224, c_current_addr_sk#225, c_birth_year#226] -Input [13]: [cs_bill_customer_sk#212, cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_customer_sk#223, c_current_cdemo_sk#224, c_current_addr_sk#225, c_birth_year#226] +(108) Project [codegen id : 28] +Output [11]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_current_cdemo_sk#179, c_current_addr_sk#180, c_birth_year#181] +Input [13]: [cs_bill_customer_sk#167, cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_customer_sk#178, c_current_cdemo_sk#179, c_current_addr_sk#180, c_birth_year#181] -(112) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#227] +(109) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#182] -(113) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_cdemo_sk#224] -Right keys [1]: [cd_demo_sk#227] +(110) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_cdemo_sk#179] +Right keys [1]: [cd_demo_sk#182] Join type: Inner Join condition: None -(114) Project [codegen id : 31] -Output [10]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_current_addr_sk#225, c_birth_year#226] -Input [12]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_current_cdemo_sk#224, c_current_addr_sk#225, c_birth_year#226, cd_demo_sk#227] +(111) Project [codegen id : 28] +Output [10]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_current_addr_sk#180, c_birth_year#181] +Input [12]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_current_cdemo_sk#179, c_current_addr_sk#180, c_birth_year#181, cd_demo_sk#182] -(115) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#228, ca_state#229] +(112) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#183, ca_state#184] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(116) CometFilter -Input [2]: [ca_address_sk#228, ca_state#229] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#229, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#228)) +(113) CometFilter +Input [2]: [ca_address_sk#183, ca_state#184] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#184, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#183)) -(117) CometProject -Input [2]: [ca_address_sk#228, ca_state#229] -Arguments: [ca_address_sk#228], [ca_address_sk#228] +(114) CometProject +Input [2]: [ca_address_sk#183, ca_state#184] +Arguments: [ca_address_sk#183], [ca_address_sk#183] -(118) CometColumnarToRow [codegen id : 28] -Input [1]: [ca_address_sk#228] +(115) CometColumnarToRow [codegen id : 25] +Input [1]: [ca_address_sk#183] -(119) BroadcastExchange -Input [1]: [ca_address_sk#228] +(116) BroadcastExchange +Input [1]: [ca_address_sk#183] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -(120) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_addr_sk#225] -Right keys [1]: [ca_address_sk#228] +(117) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_addr_sk#180] +Right keys [1]: [ca_address_sk#183] Join type: Inner Join condition: None -(121) Project [codegen id : 31] -Output [9]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_birth_year#226] -Input [11]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_current_addr_sk#225, c_birth_year#226, ca_address_sk#228] +(118) Project [codegen id : 28] +Output [9]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_birth_year#181] +Input [11]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_current_addr_sk#180, c_birth_year#181, ca_address_sk#183] -(122) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#230] +(119) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#185] -(123) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_sold_date_sk#220] -Right keys [1]: [d_date_sk#230] +(120) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_sold_date_sk#175] +Right keys [1]: [d_date_sk#185] Join type: Inner Join condition: None -(124) Project [codegen id : 31] -Output [8]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cd_dep_count#222, c_birth_year#226] -Input [10]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cs_sold_date_sk#220, cd_dep_count#222, c_birth_year#226, d_date_sk#230] +(121) Project [codegen id : 28] +Output [8]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cd_dep_count#177, c_birth_year#181] +Input [10]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cs_sold_date_sk#175, cd_dep_count#177, c_birth_year#181, d_date_sk#185] -(125) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#231, i_item_id#29] +(122) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#186, i_item_id#29] -(126) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_item_sk#214] -Right keys [1]: [i_item_sk#231] +(123) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_item_sk#169] +Right keys [1]: [i_item_sk#186] Join type: Inner Join condition: None -(127) Project [codegen id : 31] -Output [8]: [i_item_id#29, cast(cs_quantity#215 as decimal(12,2)) AS agg1#34, cast(cs_list_price#216 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#218 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#217 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#219 as decimal(12,2)) AS agg5#38, cast(c_birth_year#226 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#222 as decimal(12,2)) AS agg7#40] -Input [10]: [cs_item_sk#214, cs_quantity#215, cs_list_price#216, cs_sales_price#217, cs_coupon_amt#218, cs_net_profit#219, cd_dep_count#222, c_birth_year#226, i_item_sk#231, i_item_id#29] +(124) Project [codegen id : 28] +Output [8]: [i_item_id#29, cast(cs_quantity#170 as decimal(12,2)) AS agg1#34, cast(cs_list_price#171 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#173 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#172 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#174 as decimal(12,2)) AS agg5#38, cast(c_birth_year#181 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#177 as decimal(12,2)) AS agg7#40] +Input [10]: [cs_item_sk#169, cs_quantity#170, cs_list_price#171, cs_sales_price#172, cs_coupon_amt#173, cs_net_profit#174, cd_dep_count#177, c_birth_year#181, i_item_sk#186, i_item_id#29] -(128) HashAggregate [codegen id : 31] +(125) HashAggregate [codegen id : 28] Input [8]: [i_item_id#29, agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] Keys [1]: [i_item_id#29] Functions [7]: [partial_avg(agg1#34), partial_avg(agg2#35), partial_avg(agg3#36), partial_avg(agg4#37), partial_avg(agg5#38), partial_avg(agg6#39), partial_avg(agg7#40)] -Aggregate Attributes [14]: [sum#232, count#233, sum#234, count#235, sum#236, count#237, sum#238, count#239, sum#240, count#241, sum#242, count#243, sum#244, count#245] -Results [15]: [i_item_id#29, sum#246, count#247, sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259] +Aggregate Attributes [14]: [sum#187, count#188, sum#189, count#190, sum#191, count#192, sum#193, count#194, sum#195, count#196, sum#197, count#198, sum#199, count#200] +Results [15]: [i_item_id#29, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212, sum#213, count#214] -(129) CometColumnarExchange -Input [15]: [i_item_id#29, sum#246, count#247, sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259] +(126) CometColumnarExchange +Input [15]: [i_item_id#29, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212, sum#213, count#214] Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] -(130) CometColumnarToRow [codegen id : 32] -Input [15]: [i_item_id#29, sum#246, count#247, sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259] - -(131) HashAggregate [codegen id : 32] -Input [15]: [i_item_id#29, sum#246, count#247, sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259] +(127) CometHashAggregate +Input [15]: [i_item_id#29, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212, sum#213, count#214] Keys [1]: [i_item_id#29] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#260, avg(agg2#35)#261, avg(agg3#36)#262, avg(agg4#37)#263, avg(agg5#38)#264, avg(agg6#39)#265, avg(agg7#40)#266] -Results [11]: [i_item_id#29, null AS ca_country#267, null AS ca_state#268, null AS county#269, avg(agg1#34)#260 AS agg1#270, avg(agg2#35)#261 AS agg2#271, avg(agg3#36)#262 AS agg3#272, avg(agg4#37)#263 AS agg4#273, avg(agg5#38)#264 AS agg5#274, avg(agg6#39)#265 AS agg6#275, avg(agg7#40)#266 AS agg7#276] -(132) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#277, cs_bill_cdemo_sk#278, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285] +(128) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#215, cs_bill_cdemo_sk#216, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#285), dynamicpruningexpression(cs_sold_date_sk#285 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#223), dynamicpruningexpression(cs_sold_date_sk#223 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(133) ColumnarToRow [codegen id : 39] -Input [9]: [cs_bill_customer_sk#277, cs_bill_cdemo_sk#278, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285] +(129) ColumnarToRow [codegen id : 35] +Input [9]: [cs_bill_customer_sk#215, cs_bill_cdemo_sk#216, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223] -(134) Filter [codegen id : 39] -Input [9]: [cs_bill_customer_sk#277, cs_bill_cdemo_sk#278, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285] -Condition : ((isnotnull(cs_bill_cdemo_sk#278) AND isnotnull(cs_bill_customer_sk#277)) AND isnotnull(cs_item_sk#279)) +(130) Filter [codegen id : 35] +Input [9]: [cs_bill_customer_sk#215, cs_bill_cdemo_sk#216, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223] +Condition : ((isnotnull(cs_bill_cdemo_sk#216) AND isnotnull(cs_bill_customer_sk#215)) AND isnotnull(cs_item_sk#217)) -(135) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#286, cd_dep_count#287] +(131) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#224, cd_dep_count#225] -(136) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_cdemo_sk#278] -Right keys [1]: [cd_demo_sk#286] +(132) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_cdemo_sk#216] +Right keys [1]: [cd_demo_sk#224] Join type: Inner Join condition: None -(137) Project [codegen id : 39] -Output [9]: [cs_bill_customer_sk#277, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287] -Input [11]: [cs_bill_customer_sk#277, cs_bill_cdemo_sk#278, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_demo_sk#286, cd_dep_count#287] +(133) Project [codegen id : 35] +Output [9]: [cs_bill_customer_sk#215, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225] +Input [11]: [cs_bill_customer_sk#215, cs_bill_cdemo_sk#216, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_demo_sk#224, cd_dep_count#225] -(138) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#288, c_current_cdemo_sk#289, c_current_addr_sk#290, c_birth_year#291] +(134) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#226, c_current_cdemo_sk#227, c_current_addr_sk#228, c_birth_year#229] -(139) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_customer_sk#277] -Right keys [1]: [c_customer_sk#288] +(135) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_customer_sk#215] +Right keys [1]: [c_customer_sk#226] Join type: Inner Join condition: None -(140) Project [codegen id : 39] -Output [11]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_current_cdemo_sk#289, c_current_addr_sk#290, c_birth_year#291] -Input [13]: [cs_bill_customer_sk#277, cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_customer_sk#288, c_current_cdemo_sk#289, c_current_addr_sk#290, c_birth_year#291] +(136) Project [codegen id : 35] +Output [11]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_current_cdemo_sk#227, c_current_addr_sk#228, c_birth_year#229] +Input [13]: [cs_bill_customer_sk#215, cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_customer_sk#226, c_current_cdemo_sk#227, c_current_addr_sk#228, c_birth_year#229] -(141) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#292] +(137) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#230] -(142) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_cdemo_sk#289] -Right keys [1]: [cd_demo_sk#292] +(138) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_cdemo_sk#227] +Right keys [1]: [cd_demo_sk#230] Join type: Inner Join condition: None -(143) Project [codegen id : 39] -Output [10]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_current_addr_sk#290, c_birth_year#291] -Input [12]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_current_cdemo_sk#289, c_current_addr_sk#290, c_birth_year#291, cd_demo_sk#292] +(139) Project [codegen id : 35] +Output [10]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_current_addr_sk#228, c_birth_year#229] +Input [12]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_current_cdemo_sk#227, c_current_addr_sk#228, c_birth_year#229, cd_demo_sk#230] -(144) ReusedExchange [Reuses operator id: 119] -Output [1]: [ca_address_sk#293] +(140) ReusedExchange [Reuses operator id: 116] +Output [1]: [ca_address_sk#231] -(145) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_addr_sk#290] -Right keys [1]: [ca_address_sk#293] +(141) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_addr_sk#228] +Right keys [1]: [ca_address_sk#231] Join type: Inner Join condition: None -(146) Project [codegen id : 39] -Output [9]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_birth_year#291] -Input [11]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_current_addr_sk#290, c_birth_year#291, ca_address_sk#293] +(142) Project [codegen id : 35] +Output [9]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_birth_year#229] +Input [11]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_current_addr_sk#228, c_birth_year#229, ca_address_sk#231] -(147) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#294] +(143) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#232] -(148) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_sold_date_sk#285] -Right keys [1]: [d_date_sk#294] +(144) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_sold_date_sk#223] +Right keys [1]: [d_date_sk#232] Join type: Inner Join condition: None -(149) Project [codegen id : 39] -Output [8]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cd_dep_count#287, c_birth_year#291] -Input [10]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cs_sold_date_sk#285, cd_dep_count#287, c_birth_year#291, d_date_sk#294] +(145) Project [codegen id : 35] +Output [8]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cd_dep_count#225, c_birth_year#229] +Input [10]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cs_sold_date_sk#223, cd_dep_count#225, c_birth_year#229, d_date_sk#232] -(150) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#295] +(146) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#233] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(151) CometFilter -Input [1]: [i_item_sk#295] -Condition : isnotnull(i_item_sk#295) +(147) CometFilter +Input [1]: [i_item_sk#233] +Condition : isnotnull(i_item_sk#233) -(152) CometColumnarToRow [codegen id : 38] -Input [1]: [i_item_sk#295] +(148) CometColumnarToRow [codegen id : 34] +Input [1]: [i_item_sk#233] -(153) BroadcastExchange -Input [1]: [i_item_sk#295] +(149) BroadcastExchange +Input [1]: [i_item_sk#233] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -(154) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_item_sk#279] -Right keys [1]: [i_item_sk#295] +(150) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_item_sk#217] +Right keys [1]: [i_item_sk#233] Join type: Inner Join condition: None -(155) Project [codegen id : 39] -Output [7]: [cast(cs_quantity#280 as decimal(12,2)) AS agg1#34, cast(cs_list_price#281 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#283 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#282 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#284 as decimal(12,2)) AS agg5#38, cast(c_birth_year#291 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#287 as decimal(12,2)) AS agg7#40] -Input [9]: [cs_item_sk#279, cs_quantity#280, cs_list_price#281, cs_sales_price#282, cs_coupon_amt#283, cs_net_profit#284, cd_dep_count#287, c_birth_year#291, i_item_sk#295] +(151) Project [codegen id : 35] +Output [7]: [cast(cs_quantity#218 as decimal(12,2)) AS agg1#34, cast(cs_list_price#219 as decimal(12,2)) AS agg2#35, cast(cs_coupon_amt#221 as decimal(12,2)) AS agg3#36, cast(cs_sales_price#220 as decimal(12,2)) AS agg4#37, cast(cs_net_profit#222 as decimal(12,2)) AS agg5#38, cast(c_birth_year#229 as decimal(12,2)) AS agg6#39, cast(cd_dep_count#225 as decimal(12,2)) AS agg7#40] +Input [9]: [cs_item_sk#217, cs_quantity#218, cs_list_price#219, cs_sales_price#220, cs_coupon_amt#221, cs_net_profit#222, cd_dep_count#225, c_birth_year#229, i_item_sk#233] -(156) HashAggregate [codegen id : 39] +(152) HashAggregate [codegen id : 35] Input [7]: [agg1#34, agg2#35, agg3#36, agg4#37, agg5#38, agg6#39, agg7#40] Keys: [] Functions [7]: [partial_avg(agg1#34), partial_avg(agg2#35), partial_avg(agg3#36), partial_avg(agg4#37), partial_avg(agg5#38), partial_avg(agg6#39), partial_avg(agg7#40)] -Aggregate Attributes [14]: [sum#296, count#297, sum#298, count#299, sum#300, count#301, sum#302, count#303, sum#304, count#305, sum#306, count#307, sum#308, count#309] -Results [14]: [sum#310, count#311, sum#312, count#313, sum#314, count#315, sum#316, count#317, sum#318, count#319, sum#320, count#321, sum#322, count#323] +Aggregate Attributes [14]: [sum#234, count#235, sum#236, count#237, sum#238, count#239, sum#240, count#241, sum#242, count#243, sum#244, count#245, sum#246, count#247] +Results [14]: [sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259, sum#260, count#261] -(157) CometColumnarExchange -Input [14]: [sum#310, count#311, sum#312, count#313, sum#314, count#315, sum#316, count#317, sum#318, count#319, sum#320, count#321, sum#322, count#323] +(153) CometColumnarExchange +Input [14]: [sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259, sum#260, count#261] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] -(158) CometColumnarToRow [codegen id : 40] -Input [14]: [sum#310, count#311, sum#312, count#313, sum#314, count#315, sum#316, count#317, sum#318, count#319, sum#320, count#321, sum#322, count#323] - -(159) HashAggregate [codegen id : 40] -Input [14]: [sum#310, count#311, sum#312, count#313, sum#314, count#315, sum#316, count#317, sum#318, count#319, sum#320, count#321, sum#322, count#323] +(154) CometHashAggregate +Input [14]: [sum#248, count#249, sum#250, count#251, sum#252, count#253, sum#254, count#255, sum#256, count#257, sum#258, count#259, sum#260, count#261] Keys: [] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#324, avg(agg2#35)#325, avg(agg3#36)#326, avg(agg4#37)#327, avg(agg5#38)#328, avg(agg6#39)#329, avg(agg7#40)#330] -Results [11]: [null AS i_item_id#331, null AS ca_country#332, null AS ca_state#333, null AS county#334, avg(agg1#34)#324 AS agg1#335, avg(agg2#35)#325 AS agg2#336, avg(agg3#36)#326 AS agg3#337, avg(agg4#37)#327 AS agg4#338, avg(agg5#38)#328 AS agg5#339, avg(agg6#39)#329 AS agg6#340, avg(agg7#40)#330 AS agg7#341] -(160) Union +(155) CometUnion +Child 0 Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#262, agg2#263, agg3#264, agg4#265, agg5#266, agg6#267, agg7#268] +Child 1 Input [11]: [i_item_id#29, ca_country#87, ca_state#25, county#269, agg1#270, agg2#271, agg3#272, agg4#273, agg5#274, agg6#275, agg7#276] +Child 2 Input [11]: [i_item_id#29, ca_country#136, ca_state#277, county#278, agg1#279, agg2#280, agg3#281, agg4#282, agg5#283, agg6#284, agg7#285] +Child 3 Input [11]: [i_item_id#29, ca_country#286, ca_state#287, county#288, agg1#289, agg2#290, agg3#291, agg4#292, agg5#293, agg6#294, agg7#295] +Child 4 Input [11]: [i_item_id#296, ca_country#297, ca_state#298, county#299, agg1#300, agg2#301, agg3#302, agg4#303, agg5#304, agg6#305, agg7#306] + +(156) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#262, agg2#263, agg3#264, agg4#265, agg5#266, agg6#267, agg7#268] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#262,agg2#263,agg3#264,agg4#265,agg5#266,agg6#267,agg7#268]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#262, agg2#263, agg3#264, agg4#265, agg5#266, agg6#267, agg7#268], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#262, agg2#263, agg3#264, agg4#265, agg5#266, agg6#267, agg7#268] -(161) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] +(157) CometColumnarToRow [codegen id : 36] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#262, agg2#263, agg3#264, agg4#265, agg5#266, agg6#267, agg7#268] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (166) -+- * CometColumnarToRow (165) - +- CometProject (164) - +- CometFilter (163) - +- CometNativeScan parquet spark_catalog.default.date_dim (162) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(162) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#342] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#307] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(163) CometFilter -Input [2]: [d_date_sk#26, d_year#342] -Condition : ((isnotnull(d_year#342) AND (d_year#342 = 2001)) AND isnotnull(d_date_sk#26)) +(159) CometFilter +Input [2]: [d_date_sk#26, d_year#307] +Condition : ((isnotnull(d_year#307) AND (d_year#307 = 2001)) AND isnotnull(d_date_sk#26)) -(164) CometProject -Input [2]: [d_date_sk#26, d_year#342] +(160) CometProject +Input [2]: [d_date_sk#26, d_year#307] Arguments: [d_date_sk#26], [d_date_sk#26] -(165) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#26] -(166) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#26] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:2 Hosting operator id = 45 Hosting Expression = cs_sold_date_sk#91 IN dynamicpruning#10 +Subquery:2 Hosting operator id = 44 Hosting Expression = cs_sold_date_sk#77 IN dynamicpruning#10 -Subquery:3 Hosting operator id = 74 Hosting Expression = cs_sold_date_sk#155 IN dynamicpruning#10 +Subquery:3 Hosting operator id = 72 Hosting Expression = cs_sold_date_sk#126 IN dynamicpruning#10 -Subquery:4 Hosting operator id = 103 Hosting Expression = cs_sold_date_sk#220 IN dynamicpruning#10 +Subquery:4 Hosting operator id = 100 Hosting Expression = cs_sold_date_sk#175 IN dynamicpruning#10 -Subquery:5 Hosting operator id = 132 Hosting Expression = cs_sold_date_sk#285 IN dynamicpruning#10 +Subquery:5 Hosting operator id = 128 Hosting Expression = cs_sold_date_sk#223 IN dynamicpruning#10 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/extended.txt index eb411c16e8..c01d85590f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/extended.txt @@ -1,208 +1,204 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -250,4 +246,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 92 out of 210 eligible operators (43%). Final plan contains 41 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 99 out of 210 eligible operators (47%). Final plan contains 37 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/simplified.txt index 71745258b5..1150975e5e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q18a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - Union - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (36) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometUnion [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -72,12 +72,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (16) - HashAggregate [i_item_id,ca_country,ca_state,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state] #8 - WholeStageCodegen (15) + WholeStageCodegen (14) HashAggregate [i_item_id,ca_country,ca_state,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,ca_state,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -104,7 +101,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #9 - WholeStageCodegen (12) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometProject [ca_state] [ca_address_sk,ca_state,ca_country] @@ -114,12 +111,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (24) - HashAggregate [i_item_id,ca_country,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country] #10 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [i_item_id,ca_country,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -146,7 +140,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #11 - WholeStageCodegen (20) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometProject [ca_address_sk,ca_country] @@ -156,12 +150,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (32) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id] #12 - WholeStageCodegen (31) + WholeStageCodegen (28) HashAggregate [i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -188,7 +179,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #13 - WholeStageCodegen (28) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometProject [ca_address_sk] @@ -198,12 +189,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (40) - HashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange #14 - WholeStageCodegen (39) + WholeStageCodegen (35) HashAggregate [agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -234,7 +222,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #15 - WholeStageCodegen (38) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/explain.txt index 5a32d4019b..6b140a11aa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/simplified.txt index 7bc0779e53..6eb6de858e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/explain.txt index aa06ae2c5f..1854f464f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Expand (19) @@ -121,19 +121,17 @@ Results [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_gr Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Arguments: hashpartitioning(i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Keys [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#24] -Results [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, avg(inv_quantity_on_hand#2)#24 AS qoh#25] -(24) TakeOrderedAndProject -Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] -Arguments: 100, [qoh#25 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] +(23) CometTakeOrderedAndProject +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#24 ASC NULLS FIRST,i_product_name#15 ASC NULLS FIRST,i_brand#16 ASC NULLS FIRST,i_class#17 ASC NULLS FIRST,i_category#18 ASC NULLS FIRST], output=[i_product_name#15,i_brand#16,i_class#17,i_category#18,qoh#24]), [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24], 100, 0, [qoh#24 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] + +(24) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] ===== Subqueries ===== @@ -146,18 +144,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#26] +Output [2]: [d_date_sk#5, d_month_seq#25] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#26] -Condition : (((isnotnull(d_month_seq#26) AND (d_month_seq#26 >= 1200)) AND (d_month_seq#26 <= 1211)) AND isnotnull(d_date_sk#5)) +Input [2]: [d_date_sk#5, d_month_seq#25] +Condition : (((isnotnull(d_month_seq#25) AND (d_month_seq#25 >= 1200)) AND (d_month_seq#25 <= 1211)) AND isnotnull(d_date_sk#5)) (27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#26] +Input [2]: [d_date_sk#5, d_month_seq#25] Arguments: [d_date_sk#5], [d_date_sk#5] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/extended.txt index fb0e21025e..0d92bad43c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 11 out of 28 eligible operators (39%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/simplified.txt index 457dff46e2..4f1a24ab41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/explain.txt index f85c898208..d59ba25ed6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/explain.txt index e53305a55b..337afae055 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/explain.txt @@ -1,59 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (55) -+- Union (54) - :- * HashAggregate (25) - : +- * HashAggregate (24) - : +- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.warehouse (14) - :- * HashAggregate (32) - : +- * CometColumnarToRow (31) - : +- CometColumnarExchange (30) - : +- * HashAggregate (29) - : +- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- ReusedExchange (26) - :- * HashAggregate (39) - : +- * CometColumnarToRow (38) - : +- CometColumnarExchange (37) - : +- * HashAggregate (36) - : +- * HashAggregate (35) - : +- * CometColumnarToRow (34) - : +- ReusedExchange (33) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- ReusedExchange (40) - +- * HashAggregate (53) - +- * CometColumnarToRow (52) - +- CometColumnarExchange (51) - +- * HashAggregate (50) - +- * HashAggregate (49) - +- * CometColumnarToRow (48) - +- ReusedExchange (47) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometUnion (45) + :- CometHashAggregate (24) + : +- CometHashAggregate (23) + : +- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.warehouse (14) + :- CometHashAggregate (29) + : +- CometExchange (28) + : +- CometHashAggregate (27) + : +- CometHashAggregate (26) + : +- ReusedExchange (25) + :- CometHashAggregate (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- CometHashAggregate (31) + : +- ReusedExchange (30) + :- CometHashAggregate (39) + : +- CometExchange (38) + : +- CometHashAggregate (37) + : +- CometHashAggregate (36) + : +- ReusedExchange (35) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.inventory @@ -71,7 +63,7 @@ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4] Condition : (isnotnull(inv_item_sk#1) AND isnotnull(inv_warehouse_sk#2)) -(4) ReusedExchange [Reuses operator id: 60] +(4) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -155,201 +147,152 @@ Results [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, i_category#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#21] -Results [5]: [i_product_name#15 AS i_product_name#22, i_brand#12 AS i_brand#23, i_class#13 AS i_class#24, i_category#14 AS i_category#25, avg(inv_quantity_on_hand#3)#21 AS qoh#26] - -(24) HashAggregate [codegen id : 5] -Input [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#26] -Keys [4]: [i_product_name#22, i_brand#23, i_class#24, i_category#25] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#27, count#28] -Results [6]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, sum#29, count#30] - -(25) HashAggregate [codegen id : 5] -Input [6]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, sum#29, count#30] -Keys [4]: [i_product_name#22, i_brand#23, i_class#24, i_category#25] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#31] -Results [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, avg(qoh#26)#31 AS qoh#32] - -(26) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] -(27) CometColumnarToRow [codegen id : 10] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] +(23) CometHashAggregate +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#25] +Keys [4]: [i_product_name#21, i_brand#22, i_class#23, i_category#24] +Functions [1]: [partial_avg(qoh#25)] -(28) HashAggregate [codegen id : 10] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] +(24) CometHashAggregate +Input [6]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, sum#26, count#27] +Keys [4]: [i_product_name#21, i_brand#22, i_class#23, i_category#24] +Functions [1]: [avg(qoh#25)] + +(25) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#28, count#29] + +(26) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#28, count#29] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#35)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#35)#21] -Results [4]: [i_product_name#15, i_brand#12, i_class#13, avg(inv_quantity_on_hand#35)#21 AS qoh#26] +Functions [1]: [avg(inv_quantity_on_hand#30)] -(29) HashAggregate [codegen id : 10] -Input [4]: [i_product_name#15, i_brand#12, i_class#13, qoh#26] +(27) CometHashAggregate +Input [4]: [i_product_name#15, i_brand#12, i_class#13, qoh#25] Keys [3]: [i_product_name#15, i_brand#12, i_class#13] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#36, count#37] -Results [5]: [i_product_name#15, i_brand#12, i_class#13, sum#38, count#39] - -(30) CometColumnarExchange -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#38, count#39] -Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +Functions [1]: [partial_avg(qoh#25)] -(31) CometColumnarToRow [codegen id : 11] -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#38, count#39] +(28) CometExchange +Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#31, count#32] +Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(32) HashAggregate [codegen id : 11] -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#38, count#39] +(29) CometHashAggregate +Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#31, count#32] Keys [3]: [i_product_name#15, i_brand#12, i_class#13] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#40] -Results [5]: [i_product_name#15, i_brand#12, i_class#13, null AS i_category#41, avg(qoh#26)#40 AS qoh#42] - -(33) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#43, count#44] +Functions [1]: [avg(qoh#25)] -(34) CometColumnarToRow [codegen id : 16] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#43, count#44] +(30) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] -(35) HashAggregate [codegen id : 16] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#43, count#44] +(31) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#45)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#45)#21] -Results [3]: [i_product_name#15, i_brand#12, avg(inv_quantity_on_hand#45)#21 AS qoh#26] +Functions [1]: [avg(inv_quantity_on_hand#35)] -(36) HashAggregate [codegen id : 16] -Input [3]: [i_product_name#15, i_brand#12, qoh#26] +(32) CometHashAggregate +Input [3]: [i_product_name#15, i_brand#12, qoh#25] Keys [2]: [i_product_name#15, i_brand#12] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#46, count#47] -Results [4]: [i_product_name#15, i_brand#12, sum#48, count#49] - -(37) CometColumnarExchange -Input [4]: [i_product_name#15, i_brand#12, sum#48, count#49] -Arguments: hashpartitioning(i_product_name#15, i_brand#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_avg(qoh#25)] -(38) CometColumnarToRow [codegen id : 17] -Input [4]: [i_product_name#15, i_brand#12, sum#48, count#49] +(33) CometExchange +Input [4]: [i_product_name#15, i_brand#12, sum#36, count#37] +Arguments: hashpartitioning(i_product_name#15, i_brand#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(39) HashAggregate [codegen id : 17] -Input [4]: [i_product_name#15, i_brand#12, sum#48, count#49] +(34) CometHashAggregate +Input [4]: [i_product_name#15, i_brand#12, sum#36, count#37] Keys [2]: [i_product_name#15, i_brand#12] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#50] -Results [5]: [i_product_name#15, i_brand#12, null AS i_class#51, null AS i_category#52, avg(qoh#26)#50 AS qoh#53] +Functions [1]: [avg(qoh#25)] -(40) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#54, count#55] - -(41) CometColumnarToRow [codegen id : 22] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#54, count#55] +(35) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#38, count#39] -(42) HashAggregate [codegen id : 22] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#54, count#55] +(36) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#38, count#39] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#56)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#56)#21] -Results [2]: [i_product_name#15, avg(inv_quantity_on_hand#56)#21 AS qoh#26] +Functions [1]: [avg(inv_quantity_on_hand#40)] -(43) HashAggregate [codegen id : 22] -Input [2]: [i_product_name#15, qoh#26] +(37) CometHashAggregate +Input [2]: [i_product_name#15, qoh#25] Keys [1]: [i_product_name#15] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#57, count#58] -Results [3]: [i_product_name#15, sum#59, count#60] - -(44) CometColumnarExchange -Input [3]: [i_product_name#15, sum#59, count#60] -Arguments: hashpartitioning(i_product_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_avg(qoh#25)] -(45) CometColumnarToRow [codegen id : 23] -Input [3]: [i_product_name#15, sum#59, count#60] +(38) CometExchange +Input [3]: [i_product_name#15, sum#41, count#42] +Arguments: hashpartitioning(i_product_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) HashAggregate [codegen id : 23] -Input [3]: [i_product_name#15, sum#59, count#60] +(39) CometHashAggregate +Input [3]: [i_product_name#15, sum#41, count#42] Keys [1]: [i_product_name#15] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#61] -Results [5]: [i_product_name#15, null AS i_brand#62, null AS i_class#63, null AS i_category#64, avg(qoh#26)#61 AS qoh#65] +Functions [1]: [avg(qoh#25)] -(47) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#66, count#67] - -(48) CometColumnarToRow [codegen id : 28] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#66, count#67] +(40) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#43, count#44] -(49) HashAggregate [codegen id : 28] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#66, count#67] +(41) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#43, count#44] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#68)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#68)#21] -Results [1]: [avg(inv_quantity_on_hand#68)#21 AS qoh#26] +Functions [1]: [avg(inv_quantity_on_hand#45)] -(50) HashAggregate [codegen id : 28] -Input [1]: [qoh#26] +(42) CometHashAggregate +Input [1]: [qoh#25] Keys: [] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#69, count#70] -Results [2]: [sum#71, count#72] - -(51) CometColumnarExchange -Input [2]: [sum#71, count#72] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +Functions [1]: [partial_avg(qoh#25)] -(52) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#71, count#72] +(43) CometExchange +Input [2]: [sum#46, count#47] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(53) HashAggregate [codegen id : 29] -Input [2]: [sum#71, count#72] +(44) CometHashAggregate +Input [2]: [sum#46, count#47] Keys: [] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#73] -Results [5]: [null AS i_product_name#74, null AS i_brand#75, null AS i_class#76, null AS i_category#77, avg(qoh#26)#73 AS qoh#78] +Functions [1]: [avg(qoh#25)] + +(45) CometUnion +Child 0 Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#48] +Child 1 Input [5]: [i_product_name#15, i_brand#12, i_class#13, i_category#49, qoh#50] +Child 2 Input [5]: [i_product_name#15, i_brand#12, i_class#51, i_category#52, qoh#53] +Child 3 Input [5]: [i_product_name#15, i_brand#54, i_class#55, i_category#56, qoh#57] +Child 4 Input [5]: [i_product_name#58, i_brand#59, i_class#60, i_category#61, qoh#62] -(54) Union +(46) CometTakeOrderedAndProject +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#48] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#48 ASC NULLS FIRST,i_product_name#21 ASC NULLS FIRST,i_brand#22 ASC NULLS FIRST,i_class#23 ASC NULLS FIRST,i_category#24 ASC NULLS FIRST], output=[i_product_name#21,i_brand#22,i_class#23,i_category#24,qoh#48]), [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#48], 100, 0, [qoh#48 ASC NULLS FIRST, i_product_name#21 ASC NULLS FIRST, i_brand#22 ASC NULLS FIRST, i_class#23 ASC NULLS FIRST, i_category#24 ASC NULLS FIRST], [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#48] -(55) TakeOrderedAndProject -Input [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#32] -Arguments: 100, [qoh#32 ASC NULLS FIRST, i_product_name#22 ASC NULLS FIRST, i_brand#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_category#25 ASC NULLS FIRST], [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#32] +(47) CometColumnarToRow [codegen id : 21] +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#48] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometNativeScan parquet spark_catalog.default.date_dim (48) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#79] +(48) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_month_seq#63] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#79] -Condition : (((isnotnull(d_month_seq#79) AND (d_month_seq#79 >= 1212)) AND (d_month_seq#79 <= 1223)) AND isnotnull(d_date_sk#6)) +(49) CometFilter +Input [2]: [d_date_sk#6, d_month_seq#63] +Condition : (((isnotnull(d_month_seq#63) AND (d_month_seq#63 >= 1212)) AND (d_month_seq#63 <= 1223)) AND isnotnull(d_date_sk#6)) -(58) CometProject -Input [2]: [d_date_sk#6, d_month_seq#79] +(50) CometProject +Input [2]: [d_date_sk#6, d_month_seq#63] Arguments: [d_date_sk#6], [d_date_sk#6] -(59) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(60) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/extended.txt index 543f666a74..0c7198ffb8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/extended.txt @@ -1,187 +1,179 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.warehouse +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 64 out of 151 eligible operators (42%). Final plan contains 34 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 81 out of 151 eligible operators (53%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/simplified.txt index a55feaac8c..3ea1ed74dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q22a.native_datafusion/simplified.txt @@ -1,11 +1,11 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - Union - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(qoh),qoh,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (21) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometUnion [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,i_category,sum,count] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,i_product_name,i_brand,i_class,i_category,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,inv_quantity_on_hand] [sum,count,sum,count] @@ -44,47 +44,23 @@ TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] InputAdapter CometFilter [w_warehouse_sk] CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk] - WholeStageCodegen (11) - HashAggregate [i_product_name,i_brand,i_class,sum,count] [avg(qoh),i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand,i_class] #5 - WholeStageCodegen (10) - HashAggregate [i_product_name,i_brand,i_class,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (17) - HashAggregate [i_product_name,i_brand,sum,count] [avg(qoh),i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand] #6 - WholeStageCodegen (16) - HashAggregate [i_product_name,i_brand,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (23) - HashAggregate [i_product_name,sum,count] [avg(qoh),i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name] #7 - WholeStageCodegen (22) - HashAggregate [i_product_name,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (29) - HashAggregate [sum,count] [avg(qoh),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (28) - HashAggregate [qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand,i_class] #5 + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,sum,count] + CometHashAggregate [i_category,sum,count] [i_product_name,i_brand,i_class,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand] #6 + CometHashAggregate [qoh] [i_product_name,i_brand,sum,count] + CometHashAggregate [i_class,i_category,sum,count] [i_product_name,i_brand,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name] #7 + CometHashAggregate [qoh] [i_product_name,sum,count] + CometHashAggregate [i_brand,i_class,i_category,sum,count] [i_product_name,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange #8 + CometHashAggregate [qoh] [sum,count] + CometHashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/explain.txt index 6af787c781..8fc061cf65 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometNativeScan parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#42] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#42] -Keys: [] -Functions [1]: [partial_avg(netpaid#42)] -Aggregate Attributes [2]: [sum#73, count#74] -Results [2]: [sum#75, count#76] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#75, count#76] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#75, count#76] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#75, count#76] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#41] Keys: [] -Functions [1]: [avg(netpaid#42)] -Aggregate Attributes [1]: [avg(netpaid#42)#77] -Results [1]: [(0.05 * avg(netpaid#42)#77) AS (0.05 * avg(netpaid))#78] +Functions [1]: [partial_avg(netpaid#41)] + +(75) CometExchange +Input [2]: [sum#69, count#70] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#69, count#70] +Keys: [] +Functions [1]: [avg(netpaid#41)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#71] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/extended.txt index 53a4c64a61..f48ced830e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/simplified.txt index b24e51723a..01e4d94ea5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_datafusion/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/explain.txt index 02873e35d9..164cca00de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#42] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#42] -Keys: [] -Functions [1]: [partial_avg(netpaid#42)] -Aggregate Attributes [2]: [sum#73, count#74] -Results [2]: [sum#75, count#76] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#75, count#76] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#75, count#76] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#75, count#76] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#41] Keys: [] -Functions [1]: [avg(netpaid#42)] -Aggregate Attributes [1]: [avg(netpaid#42)#77] -Results [1]: [(0.05 * avg(netpaid#42)#77) AS (0.05 * avg(netpaid))#78] +Functions [1]: [partial_avg(netpaid#41)] + +(75) CometExchange +Input [2]: [sum#69, count#70] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#69, count#70] +Keys: [] +Functions [1]: [avg(netpaid#41)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#71] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q24.native_iceberg_compat/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/explain.txt index 0723f5c6b2..1a5871a2aa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/explain.txt @@ -1,82 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (78) -+- Union (77) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.item (21) - :- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (45) - : : +- * CometColumnarToRow (44) - : : +- CometProject (43) - : : +- CometFilter (42) - : : +- CometNativeScan parquet spark_catalog.default.store (41) - : +- ReusedExchange (48) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (66) - : +- * BroadcastHashJoin Inner BuildRight (65) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * Filter (57) - : : : : +- * ColumnarToRow (56) - : : : : +- Scan parquet spark_catalog.default.store_sales (55) - : : : +- ReusedExchange (58) - : : +- ReusedExchange (61) - : +- ReusedExchange (64) - +- BroadcastExchange (70) - +- * CometColumnarToRow (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.item (67) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometUnion (74) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.item (21) + :- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * Project (39) + : : : +- * BroadcastHashJoin Inner BuildRight (38) + : : : :- * Project (36) + : : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : : :- * Filter (33) + : : : : : +- * ColumnarToRow (32) + : : : : : +- Scan parquet spark_catalog.default.store_sales (31) + : : : : +- ReusedExchange (34) + : : : +- ReusedExchange (37) + : : +- BroadcastExchange (44) + : : +- * CometColumnarToRow (43) + : : +- CometProject (42) + : : +- CometFilter (41) + : : +- CometNativeScan parquet spark_catalog.default.store (40) + : +- ReusedExchange (47) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.store_sales (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (59) + : +- ReusedExchange (62) + +- BroadcastExchange (68) + +- * CometColumnarToRow (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.item (65) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +124,7 @@ Join condition: None Output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8] Input [9]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, cd_demo_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 81] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 5] @@ -214,266 +212,257 @@ Results [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Arguments: hashpartitioning(i_item_id#21, s_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Keys [2]: [i_item_id#21, s_state#22] Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))] -Aggregate Attributes [4]: [avg(agg1#23)#43, avg(UnscaledValue(agg2#24))#44, avg(UnscaledValue(agg3#25))#45, avg(UnscaledValue(agg4#26))#46] -Results [7]: [i_item_id#21, s_state#22, 0 AS g_state#47, avg(agg1#23)#43 AS agg1#48, cast((avg(UnscaledValue(agg2#24))#44 / 100.0) as decimal(11,6)) AS agg2#49, cast((avg(UnscaledValue(agg3#25))#45 / 100.0) as decimal(11,6)) AS agg3#50, cast((avg(UnscaledValue(agg4#26))#46 / 100.0) as decimal(11,6)) AS agg4#51] -(32) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(31) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#59), dynamicpruningexpression(ss_sold_date_sk#59 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#50), dynamicpruningexpression(ss_sold_date_sk#50 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(32) ColumnarToRow [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] -(34) Filter [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Condition : ((isnotnull(ss_cdemo_sk#53) AND isnotnull(ss_store_sk#54)) AND isnotnull(ss_item_sk#52)) +(33) Filter [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Condition : ((isnotnull(ss_cdemo_sk#44) AND isnotnull(ss_store_sk#45)) AND isnotnull(ss_item_sk#43)) -(35) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#60] +(34) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#51] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_cdemo_sk#53] -Right keys [1]: [cd_demo_sk#60] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_cdemo_sk#44] +Right keys [1]: [cd_demo_sk#51] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Input [9]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, cd_demo_sk#60] +(36) Project [codegen id : 10] +Output [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Input [9]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, cd_demo_sk#51] -(38) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#61] +(37) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#52] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_sold_date_sk#59] -Right keys [1]: [d_date_sk#61] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#50] +Right keys [1]: [d_date_sk#52] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [6]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [8]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, d_date_sk#61] +(39) Project [codegen id : 10] +Output [6]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [8]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, d_date_sk#52] -(41) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#62, s_state#63] +(40) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#53, s_state#54] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_store_sk)] ReadSchema: struct -(42) CometFilter -Input [2]: [s_store_sk#62, s_state#63] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#63, 2, true, false, true) = TN) AND isnotnull(s_store_sk#62)) +(41) CometFilter +Input [2]: [s_store_sk#53, s_state#54] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#54, 2, true, false, true) = TN) AND isnotnull(s_store_sk#53)) -(43) CometProject -Input [2]: [s_store_sk#62, s_state#63] -Arguments: [s_store_sk#62], [s_store_sk#62] +(42) CometProject +Input [2]: [s_store_sk#53, s_state#54] +Arguments: [s_store_sk#53], [s_store_sk#53] -(44) CometColumnarToRow [codegen id : 9] -Input [1]: [s_store_sk#62] +(43) CometColumnarToRow [codegen id : 8] +Input [1]: [s_store_sk#53] -(45) BroadcastExchange -Input [1]: [s_store_sk#62] +(44) BroadcastExchange +Input [1]: [s_store_sk#53] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_store_sk#54] -Right keys [1]: [s_store_sk#62] +(45) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_store_sk#45] +Right keys [1]: [s_store_sk#53] Join type: Inner Join condition: None -(47) Project [codegen id : 11] -Output [5]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, s_store_sk#62] +(46) Project [codegen id : 10] +Output [5]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, s_store_sk#53] -(48) ReusedExchange [Reuses operator id: 25] -Output [2]: [i_item_sk#64, i_item_id#20] +(47) ReusedExchange [Reuses operator id: 25] +Output [2]: [i_item_sk#55, i_item_id#20] -(49) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_item_sk#52] -Right keys [1]: [i_item_sk#64] +(48) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_item_sk#43] +Right keys [1]: [i_item_sk#55] Join type: Inner Join condition: None -(50) Project [codegen id : 11] -Output [5]: [i_item_id#20, ss_quantity#55 AS agg1#23, ss_list_price#56 AS agg2#24, ss_coupon_amt#58 AS agg3#25, ss_sales_price#57 AS agg4#26] -Input [7]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, i_item_sk#64, i_item_id#20] +(49) Project [codegen id : 10] +Output [5]: [i_item_id#20, ss_quantity#46 AS agg1#23, ss_list_price#47 AS agg2#24, ss_coupon_amt#49 AS agg3#25, ss_sales_price#48 AS agg4#26] +Input [7]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, i_item_sk#55, i_item_id#20] -(51) HashAggregate [codegen id : 11] +(50) HashAggregate [codegen id : 10] Input [5]: [i_item_id#20, agg1#23, agg2#24, agg3#25, agg4#26] Keys [1]: [i_item_id#20] Functions [4]: [partial_avg(agg1#23), partial_avg(UnscaledValue(agg2#24)), partial_avg(UnscaledValue(agg3#25)), partial_avg(UnscaledValue(agg4#26))] -Aggregate Attributes [8]: [sum#65, count#66, sum#67, count#68, sum#69, count#70, sum#71, count#72] -Results [9]: [i_item_id#20, sum#73, count#74, sum#75, count#76, sum#77, count#78, sum#79, count#80] +Aggregate Attributes [8]: [sum#56, count#57, sum#58, count#59, sum#60, count#61, sum#62, count#63] +Results [9]: [i_item_id#20, sum#64, count#65, sum#66, count#67, sum#68, count#69, sum#70, count#71] -(52) CometColumnarExchange -Input [9]: [i_item_id#20, sum#73, count#74, sum#75, count#76, sum#77, count#78, sum#79, count#80] +(51) CometColumnarExchange +Input [9]: [i_item_id#20, sum#64, count#65, sum#66, count#67, sum#68, count#69, sum#70, count#71] Arguments: hashpartitioning(i_item_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(53) CometColumnarToRow [codegen id : 12] -Input [9]: [i_item_id#20, sum#73, count#74, sum#75, count#76, sum#77, count#78, sum#79, count#80] - -(54) HashAggregate [codegen id : 12] -Input [9]: [i_item_id#20, sum#73, count#74, sum#75, count#76, sum#77, count#78, sum#79, count#80] +(52) CometHashAggregate +Input [9]: [i_item_id#20, sum#64, count#65, sum#66, count#67, sum#68, count#69, sum#70, count#71] Keys [1]: [i_item_id#20] Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))] -Aggregate Attributes [4]: [avg(agg1#23)#81, avg(UnscaledValue(agg2#24))#82, avg(UnscaledValue(agg3#25))#83, avg(UnscaledValue(agg4#26))#84] -Results [7]: [i_item_id#20, null AS s_state#85, 1 AS g_state#86, avg(agg1#23)#81 AS agg1#87, cast((avg(UnscaledValue(agg2#24))#82 / 100.0) as decimal(11,6)) AS agg2#88, cast((avg(UnscaledValue(agg3#25))#83 / 100.0) as decimal(11,6)) AS agg3#89, cast((avg(UnscaledValue(agg4#26))#84 / 100.0) as decimal(11,6)) AS agg4#90] -(55) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#91, ss_cdemo_sk#92, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98] +(53) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#72, ss_cdemo_sk#73, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#98), dynamicpruningexpression(ss_sold_date_sk#98 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#79), dynamicpruningexpression(ss_sold_date_sk#79 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(56) ColumnarToRow [codegen id : 17] -Input [8]: [ss_item_sk#91, ss_cdemo_sk#92, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98] +(54) ColumnarToRow [codegen id : 15] +Input [8]: [ss_item_sk#72, ss_cdemo_sk#73, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79] -(57) Filter [codegen id : 17] -Input [8]: [ss_item_sk#91, ss_cdemo_sk#92, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98] -Condition : ((isnotnull(ss_cdemo_sk#92) AND isnotnull(ss_store_sk#93)) AND isnotnull(ss_item_sk#91)) +(55) Filter [codegen id : 15] +Input [8]: [ss_item_sk#72, ss_cdemo_sk#73, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79] +Condition : ((isnotnull(ss_cdemo_sk#73) AND isnotnull(ss_store_sk#74)) AND isnotnull(ss_item_sk#72)) -(58) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#99] +(56) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#80] -(59) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_cdemo_sk#92] -Right keys [1]: [cd_demo_sk#99] +(57) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_cdemo_sk#73] +Right keys [1]: [cd_demo_sk#80] Join type: Inner Join condition: None -(60) Project [codegen id : 17] -Output [7]: [ss_item_sk#91, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98] -Input [9]: [ss_item_sk#91, ss_cdemo_sk#92, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98, cd_demo_sk#99] +(58) Project [codegen id : 15] +Output [7]: [ss_item_sk#72, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79] +Input [9]: [ss_item_sk#72, ss_cdemo_sk#73, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79, cd_demo_sk#80] -(61) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#100] +(59) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#81] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#98] -Right keys [1]: [d_date_sk#100] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#79] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#91, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97] -Input [8]: [ss_item_sk#91, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, ss_sold_date_sk#98, d_date_sk#100] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#72, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78] +Input [8]: [ss_item_sk#72, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, ss_sold_date_sk#79, d_date_sk#81] -(64) ReusedExchange [Reuses operator id: 45] -Output [1]: [s_store_sk#101] +(62) ReusedExchange [Reuses operator id: 44] +Output [1]: [s_store_sk#82] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_store_sk#93] -Right keys [1]: [s_store_sk#101] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_store_sk#74] +Right keys [1]: [s_store_sk#82] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#91, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97] -Input [7]: [ss_item_sk#91, ss_store_sk#93, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, s_store_sk#101] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#72, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78] +Input [7]: [ss_item_sk#72, ss_store_sk#74, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, s_store_sk#82] -(67) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#102] +(65) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#83] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(68) CometFilter -Input [1]: [i_item_sk#102] -Condition : isnotnull(i_item_sk#102) +(66) CometFilter +Input [1]: [i_item_sk#83] +Condition : isnotnull(i_item_sk#83) -(69) CometColumnarToRow [codegen id : 16] -Input [1]: [i_item_sk#102] +(67) CometColumnarToRow [codegen id : 14] +Input [1]: [i_item_sk#83] -(70) BroadcastExchange -Input [1]: [i_item_sk#102] +(68) BroadcastExchange +Input [1]: [i_item_sk#83] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(71) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_item_sk#91] -Right keys [1]: [i_item_sk#102] +(69) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_item_sk#72] +Right keys [1]: [i_item_sk#83] Join type: Inner Join condition: None -(72) Project [codegen id : 17] -Output [4]: [ss_quantity#94 AS agg1#23, ss_list_price#95 AS agg2#24, ss_coupon_amt#97 AS agg3#25, ss_sales_price#96 AS agg4#26] -Input [6]: [ss_item_sk#91, ss_quantity#94, ss_list_price#95, ss_sales_price#96, ss_coupon_amt#97, i_item_sk#102] +(70) Project [codegen id : 15] +Output [4]: [ss_quantity#75 AS agg1#23, ss_list_price#76 AS agg2#24, ss_coupon_amt#78 AS agg3#25, ss_sales_price#77 AS agg4#26] +Input [6]: [ss_item_sk#72, ss_quantity#75, ss_list_price#76, ss_sales_price#77, ss_coupon_amt#78, i_item_sk#83] -(73) HashAggregate [codegen id : 17] +(71) HashAggregate [codegen id : 15] Input [4]: [agg1#23, agg2#24, agg3#25, agg4#26] Keys: [] Functions [4]: [partial_avg(agg1#23), partial_avg(UnscaledValue(agg2#24)), partial_avg(UnscaledValue(agg3#25)), partial_avg(UnscaledValue(agg4#26))] -Aggregate Attributes [8]: [sum#103, count#104, sum#105, count#106, sum#107, count#108, sum#109, count#110] -Results [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118] +Aggregate Attributes [8]: [sum#84, count#85, sum#86, count#87, sum#88, count#89, sum#90, count#91] +Results [8]: [sum#92, count#93, sum#94, count#95, sum#96, count#97, sum#98, count#99] -(74) CometColumnarExchange -Input [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118] +(72) CometColumnarExchange +Input [8]: [sum#92, count#93, sum#94, count#95, sum#96, count#97, sum#98, count#99] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(75) CometColumnarToRow [codegen id : 18] -Input [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118] - -(76) HashAggregate [codegen id : 18] -Input [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118] +(73) CometHashAggregate +Input [8]: [sum#92, count#93, sum#94, count#95, sum#96, count#97, sum#98, count#99] Keys: [] Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))] -Aggregate Attributes [4]: [avg(agg1#23)#119, avg(UnscaledValue(agg2#24))#120, avg(UnscaledValue(agg3#25))#121, avg(UnscaledValue(agg4#26))#122] -Results [7]: [null AS i_item_id#123, null AS s_state#124, 1 AS g_state#125, avg(agg1#23)#119 AS agg1#126, cast((avg(UnscaledValue(agg2#24))#120 / 100.0) as decimal(11,6)) AS agg2#127, cast((avg(UnscaledValue(agg3#25))#121 / 100.0) as decimal(11,6)) AS agg3#128, cast((avg(UnscaledValue(agg4#26))#122 / 100.0) as decimal(11,6)) AS agg4#129] -(77) Union +(74) CometUnion +Child 0 Input [7]: [i_item_id#21, s_state#22, g_state#100, agg1#101, agg2#102, agg3#103, agg4#104] +Child 1 Input [7]: [i_item_id#20, s_state#105, g_state#106, agg1#107, agg2#108, agg3#109, agg4#110] +Child 2 Input [7]: [i_item_id#111, s_state#112, g_state#113, agg1#114, agg2#115, agg3#116, agg4#117] + +(75) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#100, agg1#101, agg2#102, agg3#103, agg4#104] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#100,agg1#101,agg2#102,agg3#103,agg4#104]), [i_item_id#21, s_state#22, g_state#100, agg1#101, agg2#102, agg3#103, agg4#104], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#100, agg1#101, agg2#102, agg3#103, agg4#104] -(78) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] +(76) CometColumnarToRow [codegen id : 16] +Input [7]: [i_item_id#21, s_state#22, g_state#100, agg1#101, agg2#102, agg3#103, agg4#104] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometProject (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#130] +(77) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_year#118] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(80) CometFilter -Input [2]: [d_date_sk#14, d_year#130] -Condition : ((isnotnull(d_year#130) AND (d_year#130 = 1998)) AND isnotnull(d_date_sk#14)) +(78) CometFilter +Input [2]: [d_date_sk#14, d_year#118] +Condition : ((isnotnull(d_year#118) AND (d_year#118 = 1998)) AND isnotnull(d_date_sk#14)) -(81) CometProject -Input [2]: [d_date_sk#14, d_year#130] +(79) CometProject +Input [2]: [d_date_sk#14, d_year#118] Arguments: [d_date_sk#14], [d_date_sk#14] -(82) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(83) BroadcastExchange +(81) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#59 IN dynamicpruning#9 +Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#50 IN dynamicpruning#9 -Subquery:3 Hosting operator id = 55 Hosting Expression = ss_sold_date_sk#98 IN dynamicpruning#9 +Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#79 IN dynamicpruning#9 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/extended.txt index 9926d14ae2..0bab1403a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/extended.txt @@ -1,84 +1,82 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -113,4 +111,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 41 out of 95 eligible operators (43%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 46 out of 95 eligible operators (48%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/simplified.txt index c7093301af..fd9dd1fc0b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q27a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - Union - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (16) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometUnion [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id,s_state] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -53,12 +53,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (12) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (11) + WholeStageCodegen (10) HashAggregate [i_item_id,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -79,7 +76,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #7 - WholeStageCodegen (9) + WholeStageCodegen (8) CometColumnarToRow InputAdapter CometProject [s_store_sk] @@ -87,12 +84,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (18) - HashAggregate [sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange #8 - WholeStageCodegen (17) + WholeStageCodegen (15) HashAggregate [agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -115,7 +109,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [s_store_sk] #7 InputAdapter BroadcastExchange #9 - WholeStageCodegen (16) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/explain.txt index 587f232ea8..7b77c5b9cb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/simplified.txt index 63c6ac3645..a1316ba805 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/explain.txt index d3c5709bdd..3f4ac2b667 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, sum#39, count#40, max#41, sum#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50] Arguments: hashpartitioning(ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, sum#39, count#40, max#41, sum#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22, count#38, sum#39, count#40, max#41, sum#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50] Keys [6]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cd_dep_employed_count#21, cd_dep_college_count#22] Functions [10]: [count(1), avg(cd_dep_count#20), max(cd_dep_count#20), sum(cd_dep_count#20), avg(cd_dep_employed_count#21), max(cd_dep_employed_count#21), sum(cd_dep_employed_count#21), avg(cd_dep_college_count#22), max(cd_dep_college_count#22), sum(cd_dep_college_count#22)] -Aggregate Attributes [10]: [count(1)#51, avg(cd_dep_count#20)#52, max(cd_dep_count#20)#53, sum(cd_dep_count#20)#54, avg(cd_dep_employed_count#21)#55, max(cd_dep_employed_count#21)#56, sum(cd_dep_employed_count#21)#57, avg(cd_dep_college_count#22)#58, max(cd_dep_college_count#22)#59, sum(cd_dep_college_count#22)#60] -Results [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, count(1)#51 AS cnt1#61, avg(cd_dep_count#20)#52 AS avg(cd_dep_count)#62, max(cd_dep_count#20)#53 AS max(cd_dep_count)#63, sum(cd_dep_count#20)#54 AS sum(cd_dep_count)#64, cd_dep_employed_count#21, count(1)#51 AS cnt2#65, avg(cd_dep_employed_count#21)#55 AS avg(cd_dep_employed_count)#66, max(cd_dep_employed_count#21)#56 AS max(cd_dep_employed_count)#67, sum(cd_dep_employed_count#21)#57 AS sum(cd_dep_employed_count)#68, cd_dep_college_count#22, count(1)#51 AS cnt3#69, avg(cd_dep_college_count#22)#58 AS avg(cd_dep_college_count)#70, max(cd_dep_college_count#22)#59 AS max(cd_dep_college_count)#71, sum(cd_dep_college_count#22)#60 AS sum(cd_dep_college_count)#72] -(45) TakeOrderedAndProject -Input [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#61, avg(cd_dep_count)#62, max(cd_dep_count)#63, sum(cd_dep_count)#64, cd_dep_employed_count#21, cnt2#65, avg(cd_dep_employed_count)#66, max(cd_dep_employed_count)#67, sum(cd_dep_employed_count)#68, cd_dep_college_count#22, cnt3#69, avg(cd_dep_college_count)#70, max(cd_dep_college_count)#71, sum(cd_dep_college_count)#72] -Arguments: 100, [ca_state#16 ASC NULLS FIRST, cd_gender#23 ASC NULLS FIRST, cd_marital_status#24 ASC NULLS FIRST, cd_dep_count#20 ASC NULLS FIRST, cd_dep_employed_count#21 ASC NULLS FIRST, cd_dep_college_count#22 ASC NULLS FIRST], [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#61, avg(cd_dep_count)#62, max(cd_dep_count)#63, sum(cd_dep_count)#64, cd_dep_employed_count#21, cnt2#65, avg(cd_dep_employed_count)#66, max(cd_dep_employed_count)#67, sum(cd_dep_employed_count)#68, cd_dep_college_count#22, cnt3#69, avg(cd_dep_college_count)#70, max(cd_dep_college_count)#71, sum(cd_dep_college_count)#72] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#51, avg(cd_dep_count)#52, max(cd_dep_count)#53, sum(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, avg(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, sum(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, avg(cd_dep_college_count)#60, max(cd_dep_college_count)#61, sum(cd_dep_college_count)#62] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#16 ASC NULLS FIRST,cd_gender#23 ASC NULLS FIRST,cd_marital_status#24 ASC NULLS FIRST,cd_dep_count#20 ASC NULLS FIRST,cd_dep_employed_count#21 ASC NULLS FIRST,cd_dep_college_count#22 ASC NULLS FIRST], output=[ca_state#16,cd_gender#23,cd_marital_status#24,cd_dep_count#20,cnt1#51,avg(cd_dep_count)#52,max(cd_dep_count)#53,sum(cd_dep_count)#54,cd_dep_employed_count#21,cnt2#55,avg(cd_dep_employed_count)#56,max(cd_dep_employed_count)#57,sum(cd_dep_employed_count)#58,cd_dep_college_count#22,cnt3#59,avg(cd_dep_college_count)#60,max(cd_dep_college_count)#61,sum(cd_dep_college_count)#62]), [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#51, avg(cd_dep_count)#52, max(cd_dep_count)#53, sum(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, avg(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, sum(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, avg(cd_dep_college_count)#60, max(cd_dep_college_count)#61, sum(cd_dep_college_count)#62], 100, 0, [ca_state#16 ASC NULLS FIRST, cd_gender#23 ASC NULLS FIRST, cd_marital_status#24 ASC NULLS FIRST, cd_dep_count#20 ASC NULLS FIRST, cd_dep_employed_count#21 ASC NULLS FIRST, cd_dep_college_count#22 ASC NULLS FIRST], [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#51, avg(cd_dep_count)#52, max(cd_dep_count)#53, sum(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, avg(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, sum(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, avg(cd_dep_college_count)#60, max(cd_dep_college_count)#61, sum(cd_dep_college_count)#62] + +(45) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#16, cd_gender#23, cd_marital_status#24, cd_dep_count#20, cnt1#51, avg(cd_dep_count)#52, max(cd_dep_count)#53, sum(cd_dep_count)#54, cd_dep_employed_count#21, cnt2#55, avg(cd_dep_employed_count)#56, max(cd_dep_employed_count)#57, sum(cd_dep_employed_count)#58, cd_dep_college_count#22, cnt3#59, avg(cd_dep_college_count)#60, max(cd_dep_college_count)#61, sum(cd_dep_college_count)#62] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#73, d_qoy#74] +Output [3]: [d_date_sk#9, d_year#63, d_qoy#64] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#73, d_qoy#74] -Condition : ((((isnotnull(d_year#73) AND isnotnull(d_qoy#74)) AND (d_year#73 = 2002)) AND (d_qoy#74 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#63, d_qoy#64] +Condition : ((((isnotnull(d_year#63) AND isnotnull(d_qoy#64)) AND (d_year#63 = 2002)) AND (d_qoy#64 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#73, d_qoy#74] +Input [3]: [d_date_sk#9, d_year#63, d_qoy#64] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/simplified.txt index 0fb95102c3..c64725c467 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/explain.txt index 5df7e6870f..ac3ab69b3e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] Arguments: hashpartitioning(ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#42, sum#43, count#44, max#45, sum#46, sum#47, count#48, max#49, sum#50, sum#51, count#52, max#53, sum#54] Keys [6]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [10]: [count(1), avg(cd_dep_count#24), max(cd_dep_count#24), sum(cd_dep_count#24), avg(cd_dep_employed_count#25), max(cd_dep_employed_count#25), sum(cd_dep_employed_count#25), avg(cd_dep_college_count#26), max(cd_dep_college_count#26), sum(cd_dep_college_count#26)] -Aggregate Attributes [10]: [count(1)#55, avg(cd_dep_count#24)#56, max(cd_dep_count#24)#57, sum(cd_dep_count#24)#58, avg(cd_dep_employed_count#25)#59, max(cd_dep_employed_count#25)#60, sum(cd_dep_employed_count#25)#61, avg(cd_dep_college_count#26)#62, max(cd_dep_college_count#26)#63, sum(cd_dep_college_count#26)#64] -Results [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, count(1)#55 AS cnt1#65, avg(cd_dep_count#24)#56 AS avg(cd_dep_count)#66, max(cd_dep_count#24)#57 AS max(cd_dep_count)#67, sum(cd_dep_count#24)#58 AS sum(cd_dep_count)#68, cd_dep_employed_count#25, count(1)#55 AS cnt2#69, avg(cd_dep_employed_count#25)#59 AS avg(cd_dep_employed_count)#70, max(cd_dep_employed_count#25)#60 AS max(cd_dep_employed_count)#71, sum(cd_dep_employed_count#25)#61 AS sum(cd_dep_employed_count)#72, cd_dep_college_count#26, count(1)#55 AS cnt3#73, avg(cd_dep_college_count#26)#62 AS avg(cd_dep_college_count)#74, max(cd_dep_college_count#26)#63 AS max(cd_dep_college_count)#75, sum(cd_dep_college_count#26)#64 AS sum(cd_dep_college_count)#76] -(47) TakeOrderedAndProject -Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#65, avg(cd_dep_count)#66, max(cd_dep_count)#67, sum(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, avg(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, sum(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, avg(cd_dep_college_count)#74, max(cd_dep_college_count)#75, sum(cd_dep_college_count)#76] -Arguments: 100, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#65, avg(cd_dep_count)#66, max(cd_dep_count)#67, sum(cd_dep_count)#68, cd_dep_employed_count#25, cnt2#69, avg(cd_dep_employed_count)#70, max(cd_dep_employed_count)#71, sum(cd_dep_employed_count)#72, cd_dep_college_count#26, cnt3#73, avg(cd_dep_college_count)#74, max(cd_dep_college_count)#75, sum(cd_dep_college_count)#76] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#20 ASC NULLS FIRST,cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[ca_state#20,cd_gender#27,cd_marital_status#28,cd_dep_count#24,cnt1#55,avg(cd_dep_count)#56,max(cd_dep_count)#57,sum(cd_dep_count)#58,cd_dep_employed_count#25,cnt2#59,avg(cd_dep_employed_count)#60,max(cd_dep_employed_count)#61,sum(cd_dep_employed_count)#62,cd_dep_college_count#26,cnt3#63,avg(cd_dep_college_count)#64,max(cd_dep_college_count)#65,sum(cd_dep_college_count)#66]), [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66], 100, 0, [ca_state#20 ASC NULLS FIRST, cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#20, cd_gender#27, cd_marital_status#28, cd_dep_count#24, cnt1#55, avg(cd_dep_count)#56, max(cd_dep_count)#57, sum(cd_dep_count)#58, cd_dep_employed_count#25, cnt2#59, avg(cd_dep_employed_count)#60, max(cd_dep_employed_count)#61, sum(cd_dep_employed_count)#62, cd_dep_college_count#26, cnt3#63, avg(cd_dep_college_count)#64, max(cd_dep_college_count)#65, sum(cd_dep_college_count)#66] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/explain.txt index fbea598466..080054077b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [19]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, Input [19]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cd_dep_employed_count#22, cd_dep_college_count#23, count#39, sum#40, count#41, max#42, sum#43, sum#44, count#45, max#46, sum#47, sum#48, count#49, max#50, sum#51] Arguments: hashpartitioning(ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cd_dep_employed_count#22, cd_dep_college_count#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cd_dep_employed_count#22, cd_dep_college_count#23, count#39, sum#40, count#41, max#42, sum#43, sum#44, count#45, max#46, sum#47, sum#48, count#49, max#50, sum#51] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [19]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cd_dep_employed_count#22, cd_dep_college_count#23, count#39, sum#40, count#41, max#42, sum#43, sum#44, count#45, max#46, sum#47, sum#48, count#49, max#50, sum#51] Keys [6]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cd_dep_employed_count#22, cd_dep_college_count#23] Functions [10]: [count(1), avg(cd_dep_count#21), max(cd_dep_count#21), sum(cd_dep_count#21), avg(cd_dep_employed_count#22), max(cd_dep_employed_count#22), sum(cd_dep_employed_count#22), avg(cd_dep_college_count#23), max(cd_dep_college_count#23), sum(cd_dep_college_count#23)] -Aggregate Attributes [10]: [count(1)#52, avg(cd_dep_count#21)#53, max(cd_dep_count#21)#54, sum(cd_dep_count#21)#55, avg(cd_dep_employed_count#22)#56, max(cd_dep_employed_count#22)#57, sum(cd_dep_employed_count#22)#58, avg(cd_dep_college_count#23)#59, max(cd_dep_college_count#23)#60, sum(cd_dep_college_count#23)#61] -Results [18]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, count(1)#52 AS cnt1#62, avg(cd_dep_count#21)#53 AS avg(cd_dep_count)#63, max(cd_dep_count#21)#54 AS max(cd_dep_count)#64, sum(cd_dep_count#21)#55 AS sum(cd_dep_count)#65, cd_dep_employed_count#22, count(1)#52 AS cnt2#66, avg(cd_dep_employed_count#22)#56 AS avg(cd_dep_employed_count)#67, max(cd_dep_employed_count#22)#57 AS max(cd_dep_employed_count)#68, sum(cd_dep_employed_count#22)#58 AS sum(cd_dep_employed_count)#69, cd_dep_college_count#23, count(1)#52 AS cnt3#70, avg(cd_dep_college_count#23)#59 AS avg(cd_dep_college_count)#71, max(cd_dep_college_count#23)#60 AS max(cd_dep_college_count)#72, sum(cd_dep_college_count#23)#61 AS sum(cd_dep_college_count)#73] -(43) TakeOrderedAndProject -Input [18]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#62, avg(cd_dep_count)#63, max(cd_dep_count)#64, sum(cd_dep_count)#65, cd_dep_employed_count#22, cnt2#66, avg(cd_dep_employed_count)#67, max(cd_dep_employed_count)#68, sum(cd_dep_employed_count)#69, cd_dep_college_count#23, cnt3#70, avg(cd_dep_college_count)#71, max(cd_dep_college_count)#72, sum(cd_dep_college_count)#73] -Arguments: 100, [ca_state#17 ASC NULLS FIRST, cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_dep_count#21 ASC NULLS FIRST, cd_dep_employed_count#22 ASC NULLS FIRST, cd_dep_college_count#23 ASC NULLS FIRST], [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#62, avg(cd_dep_count)#63, max(cd_dep_count)#64, sum(cd_dep_count)#65, cd_dep_employed_count#22, cnt2#66, avg(cd_dep_employed_count)#67, max(cd_dep_employed_count)#68, sum(cd_dep_employed_count)#69, cd_dep_college_count#23, cnt3#70, avg(cd_dep_college_count)#71, max(cd_dep_college_count)#72, sum(cd_dep_college_count)#73] +(42) CometTakeOrderedAndProject +Input [18]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#52, avg(cd_dep_count)#53, max(cd_dep_count)#54, sum(cd_dep_count)#55, cd_dep_employed_count#22, cnt2#56, avg(cd_dep_employed_count)#57, max(cd_dep_employed_count)#58, sum(cd_dep_employed_count)#59, cd_dep_college_count#23, cnt3#60, avg(cd_dep_college_count)#61, max(cd_dep_college_count)#62, sum(cd_dep_college_count)#63] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#17 ASC NULLS FIRST,cd_gender#24 ASC NULLS FIRST,cd_marital_status#25 ASC NULLS FIRST,cd_dep_count#21 ASC NULLS FIRST,cd_dep_employed_count#22 ASC NULLS FIRST,cd_dep_college_count#23 ASC NULLS FIRST], output=[ca_state#17,cd_gender#24,cd_marital_status#25,cd_dep_count#21,cnt1#52,avg(cd_dep_count)#53,max(cd_dep_count)#54,sum(cd_dep_count)#55,cd_dep_employed_count#22,cnt2#56,avg(cd_dep_employed_count)#57,max(cd_dep_employed_count)#58,sum(cd_dep_employed_count)#59,cd_dep_college_count#23,cnt3#60,avg(cd_dep_college_count)#61,max(cd_dep_college_count)#62,sum(cd_dep_college_count)#63]), [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#52, avg(cd_dep_count)#53, max(cd_dep_count)#54, sum(cd_dep_count)#55, cd_dep_employed_count#22, cnt2#56, avg(cd_dep_employed_count)#57, max(cd_dep_employed_count)#58, sum(cd_dep_employed_count)#59, cd_dep_college_count#23, cnt3#60, avg(cd_dep_college_count)#61, max(cd_dep_college_count)#62, sum(cd_dep_college_count)#63], 100, 0, [ca_state#17 ASC NULLS FIRST, cd_gender#24 ASC NULLS FIRST, cd_marital_status#25 ASC NULLS FIRST, cd_dep_count#21 ASC NULLS FIRST, cd_dep_employed_count#22 ASC NULLS FIRST, cd_dep_college_count#23 ASC NULLS FIRST], [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#52, avg(cd_dep_count)#53, max(cd_dep_count)#54, sum(cd_dep_count)#55, cd_dep_employed_count#22, cnt2#56, avg(cd_dep_employed_count)#57, max(cd_dep_employed_count)#58, sum(cd_dep_employed_count)#59, cd_dep_college_count#23, cnt3#60, avg(cd_dep_college_count)#61, max(cd_dep_college_count)#62, sum(cd_dep_college_count)#63] + +(43) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#17, cd_gender#24, cd_marital_status#25, cd_dep_count#21, cnt1#52, avg(cd_dep_count)#53, max(cd_dep_count)#54, sum(cd_dep_count)#55, cd_dep_employed_count#22, cnt2#56, avg(cd_dep_employed_count)#57, max(cd_dep_employed_count)#58, sum(cd_dep_employed_count)#59, cd_dep_college_count#23, cnt3#60, avg(cd_dep_college_count)#61, max(cd_dep_college_count)#62, sum(cd_dep_college_count)#63] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#74, d_qoy#75] +Output [3]: [d_date_sk#7, d_year#64, d_qoy#65] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,1999), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#74, d_qoy#75] -Condition : ((((isnotnull(d_year#74) AND isnotnull(d_qoy#75)) AND (d_year#74 = 1999)) AND (d_qoy#75 < 4)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#64, d_qoy#65] +Condition : ((((isnotnull(d_year#64) AND isnotnull(d_qoy#65)) AND (d_year#64 = 1999)) AND (d_qoy#65 < 4)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#74, d_qoy#75] +Input [3]: [d_date_sk#7, d_year#64, d_qoy#65] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/simplified.txt index bed891a0a3..d943c16ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q35a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/explain.txt index 0f517df9a4..71f325320b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/explain.txt @@ -1,52 +1,47 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometExchange (43) - +- CometHashAggregate (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- Union (39) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.store (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- ReusedExchange (32) +TakeOrderedAndProject (43) ++- * Project (42) + +- Window (41) + +- * CometColumnarToRow (40) + +- CometSort (39) + +- CometExchange (38) + +- CometHashAggregate (37) + +- CometExchange (36) + +- CometHashAggregate (35) + +- CometUnion (34) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.store (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- ReusedExchange (29) (1) Scan parquet spark_catalog.default.store_sales @@ -64,7 +59,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 53] +(4) ReusedExchange [Reuses operator id: 48] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -152,154 +147,126 @@ Results [4]: [i_category#12, i_class#11, sum#17, sum#18] Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Arguments: hashpartitioning(i_category#12, i_class#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [4]: [i_category#12, i_class#11, sum#17, sum#18] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Keys [2]: [i_category#12, i_class#11] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#19, sum(UnscaledValue(ss_ext_sales_price#3))#20] -Results [6]: [cast((MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#19,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#20,17,2)) as decimal(38,20)) AS gross_margin#21, i_category#12 AS i_category#22, i_class#11 AS i_class#23, 0 AS t_category#24, 0 AS t_class#25, 0 AS lochierarchy#26] - -(25) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#12, i_class#11, sum#27, sum#28] -(26) CometColumnarToRow [codegen id : 10] -Input [4]: [i_category#12, i_class#11, sum#27, sum#28] +(24) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#12, i_class#11, sum#19, sum#20] -(27) HashAggregate [codegen id : 10] -Input [4]: [i_category#12, i_class#11, sum#27, sum#28] +(25) CometHashAggregate +Input [4]: [i_category#12, i_class#11, sum#19, sum#20] Keys [2]: [i_category#12, i_class#11] -Functions [2]: [sum(UnscaledValue(ss_net_profit#29)), sum(UnscaledValue(ss_ext_sales_price#30))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#29))#31, sum(UnscaledValue(ss_ext_sales_price#30))#32] -Results [3]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#29))#31,17,2) AS ss_net_profit#33, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#30))#32,17,2) AS ss_ext_sales_price#34, i_category#12] +Functions [2]: [sum(UnscaledValue(ss_net_profit#21)), sum(UnscaledValue(ss_ext_sales_price#22))] -(28) HashAggregate [codegen id : 10] -Input [3]: [ss_net_profit#33, ss_ext_sales_price#34, i_category#12] +(26) CometHashAggregate +Input [3]: [ss_net_profit#23, ss_ext_sales_price#24, i_category#12] Keys [1]: [i_category#12] -Functions [2]: [partial_sum(ss_net_profit#33), partial_sum(ss_ext_sales_price#34)] -Aggregate Attributes [4]: [sum#35, isEmpty#36, sum#37, isEmpty#38] -Results [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] +Functions [2]: [partial_sum(ss_net_profit#23), partial_sum(ss_ext_sales_price#24)] -(29) CometColumnarExchange -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] -Arguments: hashpartitioning(i_category#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(27) CometExchange +Input [5]: [i_category#12, sum#25, isEmpty#26, sum#27, isEmpty#28] +Arguments: hashpartitioning(i_category#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 11] -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] - -(31) HashAggregate [codegen id : 11] -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] +(28) CometHashAggregate +Input [5]: [i_category#12, sum#25, isEmpty#26, sum#27, isEmpty#28] Keys [1]: [i_category#12] -Functions [2]: [sum(ss_net_profit#33), sum(ss_ext_sales_price#34)] -Aggregate Attributes [2]: [sum(ss_net_profit#33)#43, sum(ss_ext_sales_price#34)#44] -Results [6]: [cast((sum(ss_net_profit#33)#43 / sum(ss_ext_sales_price#34)#44) as decimal(38,20)) AS gross_margin#45, i_category#12, null AS i_class#46, 0 AS t_category#47, 1 AS t_class#48, 1 AS lochierarchy#49] - -(32) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#12, i_class#11, sum#50, sum#51] +Functions [2]: [sum(ss_net_profit#23), sum(ss_ext_sales_price#24)] -(33) CometColumnarToRow [codegen id : 16] -Input [4]: [i_category#12, i_class#11, sum#50, sum#51] +(29) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#12, i_class#11, sum#29, sum#30] -(34) HashAggregate [codegen id : 16] -Input [4]: [i_category#12, i_class#11, sum#50, sum#51] +(30) CometHashAggregate +Input [4]: [i_category#12, i_class#11, sum#29, sum#30] Keys [2]: [i_category#12, i_class#11] -Functions [2]: [sum(UnscaledValue(ss_net_profit#52)), sum(UnscaledValue(ss_ext_sales_price#53))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#52))#31, sum(UnscaledValue(ss_ext_sales_price#53))#32] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#52))#31,17,2) AS ss_net_profit#33, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#53))#32,17,2) AS ss_ext_sales_price#34] +Functions [2]: [sum(UnscaledValue(ss_net_profit#31)), sum(UnscaledValue(ss_ext_sales_price#32))] -(35) HashAggregate [codegen id : 16] -Input [2]: [ss_net_profit#33, ss_ext_sales_price#34] +(31) CometHashAggregate +Input [2]: [ss_net_profit#23, ss_ext_sales_price#24] Keys: [] -Functions [2]: [partial_sum(ss_net_profit#33), partial_sum(ss_ext_sales_price#34)] -Aggregate Attributes [4]: [sum#54, isEmpty#55, sum#56, isEmpty#57] -Results [4]: [sum#58, isEmpty#59, sum#60, isEmpty#61] - -(36) CometColumnarExchange -Input [4]: [sum#58, isEmpty#59, sum#60, isEmpty#61] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [2]: [partial_sum(ss_net_profit#23), partial_sum(ss_ext_sales_price#24)] -(37) CometColumnarToRow [codegen id : 17] -Input [4]: [sum#58, isEmpty#59, sum#60, isEmpty#61] +(32) CometExchange +Input [4]: [sum#33, isEmpty#34, sum#35, isEmpty#36] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(38) HashAggregate [codegen id : 17] -Input [4]: [sum#58, isEmpty#59, sum#60, isEmpty#61] +(33) CometHashAggregate +Input [4]: [sum#33, isEmpty#34, sum#35, isEmpty#36] Keys: [] -Functions [2]: [sum(ss_net_profit#33), sum(ss_ext_sales_price#34)] -Aggregate Attributes [2]: [sum(ss_net_profit#33)#62, sum(ss_ext_sales_price#34)#63] -Results [6]: [cast((sum(ss_net_profit#33)#62 / sum(ss_ext_sales_price#34)#63) as decimal(38,20)) AS gross_margin#64, null AS i_category#65, null AS i_class#66, 1 AS t_category#67, 1 AS t_class#68, 2 AS lochierarchy#69] +Functions [2]: [sum(ss_net_profit#23), sum(ss_ext_sales_price#24)] -(39) Union +(34) CometUnion +Child 0 Input [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] +Child 1 Input [6]: [gross_margin#43, i_category#12, i_class#44, t_category#45, t_class#46, lochierarchy#47] +Child 2 Input [6]: [gross_margin#48, i_category#49, i_class#50, t_category#51, t_class#52, lochierarchy#53] -(40) HashAggregate [codegen id : 18] -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(35) CometHashAggregate +Input [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] +Keys [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] Functions: [] -Aggregate Attributes: [] -Results [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -(41) CometColumnarExchange -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Arguments: hashpartitioning(gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(36) CometExchange +Input [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] +Arguments: hashpartitioning(gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(42) CometHashAggregate -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(37) CometHashAggregate +Input [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] +Keys [6]: [gross_margin#37, i_category#38, i_class#39, t_category#40, t_class#41, lochierarchy#42] Functions: [] -(43) CometExchange -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70] -Arguments: hashpartitioning(lochierarchy#26, _w0#70, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54] +Arguments: hashpartitioning(lochierarchy#42, _w0#54, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(44) CometSort -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70] -Arguments: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70], [lochierarchy#26 ASC NULLS FIRST, _w0#70 ASC NULLS FIRST, gross_margin#21 ASC NULLS FIRST] +(39) CometSort +Input [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54] +Arguments: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54], [lochierarchy#42 ASC NULLS FIRST, _w0#54 ASC NULLS FIRST, gross_margin#37 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 19] -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70] +(40) CometColumnarToRow [codegen id : 13] +Input [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54] -(46) Window -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70] -Arguments: [rank(gross_margin#21) windowspecdefinition(lochierarchy#26, _w0#70, gross_margin#21 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#71], [lochierarchy#26, _w0#70], [gross_margin#21 ASC NULLS FIRST] +(41) Window +Input [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54] +Arguments: [rank(gross_margin#37) windowspecdefinition(lochierarchy#42, _w0#54, gross_margin#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#55], [lochierarchy#42, _w0#54], [gross_margin#37 ASC NULLS FIRST] -(47) Project [codegen id : 20] -Output [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#71] -Input [6]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#70, rank_within_parent#71] +(42) Project [codegen id : 14] +Output [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, rank_within_parent#55] +Input [6]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, _w0#54, rank_within_parent#55] -(48) TakeOrderedAndProject -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#71] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN i_category#22 END ASC NULLS FIRST, rank_within_parent#71 ASC NULLS FIRST], [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#71] +(43) TakeOrderedAndProject +Input [5]: [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, rank_within_parent#55] +Arguments: 100, [lochierarchy#42 DESC NULLS LAST, CASE WHEN (lochierarchy#42 = 0) THEN i_category#38 END ASC NULLS FIRST, rank_within_parent#55 ASC NULLS FIRST], [gross_margin#37, i_category#38, i_class#39, lochierarchy#42, rank_within_parent#55] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometNativeScan parquet spark_catalog.default.date_dim (49) +BroadcastExchange (48) ++- * CometColumnarToRow (47) + +- CometProject (46) + +- CometFilter (45) + +- CometNativeScan parquet spark_catalog.default.date_dim (44) -(49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#72] +(44) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#56] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter -Input [2]: [d_date_sk#7, d_year#72] -Condition : ((isnotnull(d_year#72) AND (d_year#72 = 2001)) AND isnotnull(d_date_sk#7)) +(45) CometFilter +Input [2]: [d_date_sk#7, d_year#56] +Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2001)) AND isnotnull(d_date_sk#7)) -(51) CometProject -Input [2]: [d_date_sk#7, d_year#72] +(46) CometProject +Input [2]: [d_date_sk#7, d_year#56] Arguments: [d_date_sk#7], [d_date_sk#7] -(52) CometColumnarToRow [codegen id : 1] +(47) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(53) BroadcastExchange +(48) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/extended.txt index 7d9e9883d2..65d4e76c9e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/extended.txt @@ -5,118 +5,113 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 45 out of 99 eligible operators (45%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 54 out of 99 eligible operators (54%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/simplified.txt index 65728fc6f2..49f763301b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q36a.native_datafusion/simplified.txt @@ -1,81 +1,64 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [gross_margin,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [t_category] [gross_margin,i_category,i_class,lochierarchy,_w0,t_class] - CometColumnarExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - WholeStageCodegen (11) - HashAggregate [i_category,sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #7 - WholeStageCodegen (10) - HashAggregate [i_category,ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (16) - HashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 + CometExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 + CometHashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometUnion [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange [i_category] #7 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [i_category,sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,i_category,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange #8 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_category,i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/explain.txt index 9613d03c41..d3e9e9f9b3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] -Keys [6]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(ss_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#29))#19] -Results [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(ss_sales_price#29))#19,17,2) AS sum_sales#20] +(32) CometHashAggregate +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] +Keys [6]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#28))] -(35) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST, s_company_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST, s_company_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] -(38) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#5, i_brand#4, s_store_name#24, s_company_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#29], [i_category#5, i_brand#4, s_store_name#23, s_company_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#5 AS i_category#31, i_brand#4 AS i_brand#32, s_store_name#24, s_company_name#25, sum_sales#20 AS sum_sales#33, rn#30] -Input [8]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20, rn#30] +(37) Project [codegen id : 12] +Output [6]: [i_category#5 AS i_category#30, i_brand#4 AS i_brand#31, s_store_name#23, s_company_name#24, sum_sales#19 AS sum_sales#32, rn#29] +Input [8]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19, rn#29] -(40) BroadcastExchange -Input [6]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(38) BroadcastExchange +Input [6]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, (rn#30 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, (rn#29 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(44) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#34 ASC NULLS FIRST, s_company_name#35 ASC NULLS FIRST, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#33 ASC NULLS FIRST, s_company_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(46) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [rank(d_year#36, d_moy#37) windowspecdefinition(i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#5, i_brand#4, s_store_name#34, s_company_name#35], [d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#5, i_brand#4, s_store_name#33, s_company_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#5 AS i_category#39, i_brand#4 AS i_brand#40, s_store_name#34, s_company_name#35, sum_sales#20 AS sum_sales#41, rn#38] -Input [8]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20, rn#38] +(45) Project [codegen id : 18] +Output [6]: [i_category#5 AS i_category#38, i_brand#4 AS i_brand#39, s_store_name#33, s_company_name#34, sum_sales#19 AS sum_sales#40, rn#37] +Input [8]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19, rn#37] -(48) BroadcastExchange -Input [6]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(46) BroadcastExchange +Input [6]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#33 AS psum#42, sum_sales#41 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33, i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(48) Project [codegen id : 19] +Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#32 AS psum#41, sum_sales#40 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32, i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] -(51) TakeOrderedAndProject -Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/simplified.txt index ee8e4dd40c..81fdb92425 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum, Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/explain.txt index 070113d8ea..2ef9d10c5d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST,item#30 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST, item#30 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST,item#26 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST, item#26 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/explain.txt index 23adfe692b..dd71cc3f5b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/explain.txt @@ -1,81 +1,77 @@ == Physical Plan == -TakeOrderedAndProject (77) -+- * Filter (76) - +- * HashAggregate (75) - +- * HashAggregate (74) - +- * Project (73) - +- * BroadcastHashJoin Inner BuildRight (72) - :- Window (65) - : +- * CometColumnarToRow (64) - : +- CometSort (63) - : +- CometExchange (62) - : +- CometProject (61) - : +- CometFilter (60) - : +- CometSortMergeJoin (59) - : :- CometSort (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * CometColumnarToRow (26) - : : +- CometColumnarExchange (25) - : : +- * HashAggregate (24) - : : +- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Project (15) - : : : +- Window (14) - : : : +- * CometColumnarToRow (13) - : : : +- CometSort (12) - : : : +- CometColumnarExchange (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (21) - : : +- * Project (20) - : : +- Window (19) - : : +- * CometColumnarToRow (18) - : : +- CometSort (17) - : : +- ReusedExchange (16) - : +- CometSort (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * CometColumnarToRow (55) - : +- CometColumnarExchange (54) - : +- * HashAggregate (53) - : +- * Project (52) - : +- * BroadcastHashJoin Inner BuildRight (51) - : :- * Project (44) - : : +- Window (43) - : : +- * CometColumnarToRow (42) - : : +- CometSort (41) - : : +- CometColumnarExchange (40) - : : +- * HashAggregate (39) - : : +- * CometColumnarToRow (38) - : : +- CometColumnarExchange (37) - : : +- * HashAggregate (36) - : : +- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- ReusedExchange (33) - : +- BroadcastExchange (50) - : +- * Project (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- ReusedExchange (45) - +- BroadcastExchange (71) - +- * Project (70) - +- Window (69) - +- * CometColumnarToRow (68) - +- CometSort (67) - +- ReusedExchange (66) +TakeOrderedAndProject (73) ++- * Filter (72) + +- * HashAggregate (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- Window (61) + : +- * CometColumnarToRow (60) + : +- CometSort (59) + : +- CometExchange (58) + : +- CometProject (57) + : +- CometFilter (56) + : +- CometSortMergeJoin (55) + : :- CometSort (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometColumnarExchange (24) + : : +- * HashAggregate (23) + : : +- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Project (14) + : : : +- Window (13) + : : : +- * CometColumnarToRow (12) + : : : +- CometSort (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (20) + : : +- * Project (19) + : : +- Window (18) + : : +- * CometColumnarToRow (17) + : : +- CometSort (16) + : : +- ReusedExchange (15) + : +- CometSort (54) + : +- CometExchange (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (41) + : : +- Window (40) + : : +- * CometColumnarToRow (39) + : : +- CometSort (38) + : : +- CometExchange (37) + : : +- CometHashAggregate (36) + : : +- CometColumnarExchange (35) + : : +- * HashAggregate (34) + : : +- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Filter (30) + : : : +- * ColumnarToRow (29) + : : : +- Scan parquet spark_catalog.default.store_sales (28) + : : +- ReusedExchange (31) + : +- BroadcastExchange (47) + : +- * Project (46) + : +- Window (45) + : +- * CometColumnarToRow (44) + : +- CometSort (43) + : +- ReusedExchange (42) + +- BroadcastExchange (67) + +- * Project (66) + +- Window (65) + +- * CometColumnarToRow (64) + +- CometSort (63) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -93,7 +89,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 82] +(4) ReusedExchange [Reuses operator id: 78] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -117,339 +113,319 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS sumws#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, rk#12] -Input [5]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1, rk#12] +(14) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, rk#11] +Input [5]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1, rk#11] -(16) ReusedExchange [Reuses operator id: 11] -Output [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] +(15) ReusedExchange [Reuses operator id: 10] +Output [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] -(17) CometSort -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] -Arguments: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14], [ws_item_sk#14 ASC NULLS FIRST, d_date#13 ASC NULLS FIRST] +(16) CometSort +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] +Arguments: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13], [ws_item_sk#13 ASC NULLS FIRST, d_date#12 ASC NULLS FIRST] -(18) CometColumnarToRow [codegen id : 8] -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] +(17) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] -(19) Window -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] -Arguments: [row_number() windowspecdefinition(ws_item_sk#14, d_date#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#15], [ws_item_sk#14], [d_date#13 ASC NULLS FIRST] +(18) Window +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] +Arguments: [row_number() windowspecdefinition(ws_item_sk#13, d_date#12 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#14], [ws_item_sk#13], [d_date#12 ASC NULLS FIRST] -(20) Project [codegen id : 9] -Output [3]: [item_sk#10 AS item_sk#16, sumws#11 AS sumws#17, rk#15] -Input [5]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14, rk#15] +(19) Project [codegen id : 7] +Output [3]: [item_sk#9 AS item_sk#15, sumws#10 AS sumws#16, rk#14] +Input [5]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13, rk#14] -(21) BroadcastExchange -Input [3]: [item_sk#16, sumws#17, rk#15] +(20) BroadcastExchange +Input [3]: [item_sk#15, sumws#16, rk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(22) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [item_sk#10] -Right keys [1]: [item_sk#16] +(21) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#9] +Right keys [1]: [item_sk#15] Join type: Inner -Join condition: (rk#12 >= rk#15) - -(23) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, sumws#17] -Input [7]: [item_sk#10, d_date#6, sumws#11, rk#12, item_sk#16, sumws#17, rk#15] - -(24) HashAggregate [codegen id : 10] -Input [4]: [item_sk#10, d_date#6, sumws#11, sumws#17] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [partial_sum(sumws#17)] -Aggregate Attributes [2]: [sum#18, isEmpty#19] -Results [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(25) CometColumnarExchange -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Arguments: hashpartitioning(item_sk#10, d_date#6, sumws#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(26) CometColumnarToRow [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(27) HashAggregate [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [sum(sumws#17)] -Aggregate Attributes [1]: [sum(sumws#17)#22] -Results [3]: [item_sk#10, d_date#6, sum(sumws#17)#22 AS cume_sales#23] - -(28) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(29) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: [item_sk#10, d_date#6, cume_sales#23], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] - -(30) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +Join condition: (rk#11 >= rk#14) + +(22) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, sumws#16] +Input [7]: [item_sk#9, d_date#6, sumws#10, rk#11, item_sk#15, sumws#16, rk#14] + +(23) HashAggregate [codegen id : 8] +Input [4]: [item_sk#9, d_date#6, sumws#10, sumws#16] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [partial_sum(sumws#16)] +Aggregate Attributes [2]: [sum#17, isEmpty#18] +Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] + +(24) CometColumnarExchange +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(25) CometHashAggregate +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [sum(sumws#16)] + +(26) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(27) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] + +(28) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#26), dynamicpruningexpression(ss_sold_date_sk#26 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +(29) ColumnarToRow [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] -(32) Filter [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] -Condition : isnotnull(ss_item_sk#24) +(30) Filter [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 82] -Output [2]: [d_date_sk#27, d_date#28] +(31) ReusedExchange [Reuses operator id: 78] +Output [2]: [d_date_sk#25, d_date#26] -(34) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#26] -Right keys [1]: [d_date_sk#27] +(32) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#25] Join type: Inner Join condition: None -(35) Project [codegen id : 13] -Output [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Input [5]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26, d_date_sk#27, d_date#28] - -(36) HashAggregate [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum#29] -Results [3]: [ss_item_sk#24, d_date#28, sum#30] +(33) Project [codegen id : 10] +Output [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#25, d_date#26] -(37) CometColumnarExchange -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Arguments: hashpartitioning(ss_item_sk#24, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(34) HashAggregate [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] +Aggregate Attributes [1]: [sum#27] +Results [3]: [ss_item_sk#22, d_date#26, sum#28] -(38) CometColumnarToRow [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] +(35) CometColumnarExchange +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(39) HashAggregate [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#25))#31] -Results [4]: [ss_item_sk#24 AS item_sk#32, d_date#28, MakeDecimal(sum(UnscaledValue(ss_sales_price#25))#31,17,2) AS sumss#33, ss_item_sk#24] +(36) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(40) CometColumnarExchange -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: hashpartitioning(ss_item_sk#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(37) CometExchange +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(41) CometSort -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24], [ss_item_sk#24 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(38) CometSort +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] -(42) CometColumnarToRow [codegen id : 15] -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] +(39) CometColumnarToRow [codegen id : 11] +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] -(43) Window -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [row_number() windowspecdefinition(ss_item_sk#24, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#24], [d_date#28 ASC NULLS FIRST] +(40) Window +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#26 ASC NULLS FIRST] -(44) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, rk#34] -Input [5]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24, rk#34] +(41) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22, rk#31] -(45) ReusedExchange [Reuses operator id: 40] -Output [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] +(42) ReusedExchange [Reuses operator id: 37] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(46) CometSort -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] -Arguments: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36], [ss_item_sk#36 ASC NULLS FIRST, d_date#35 ASC NULLS FIRST] +(43) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 19] -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] +(44) CometColumnarToRow [codegen id : 14] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(48) Window -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] -Arguments: [row_number() windowspecdefinition(ss_item_sk#36, d_date#35 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [ss_item_sk#36], [d_date#35 ASC NULLS FIRST] +(45) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(49) Project [codegen id : 20] -Output [3]: [item_sk#32 AS item_sk#38, sumss#33 AS sumss#39, rk#37] -Input [5]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36, rk#37] +(46) Project [codegen id : 15] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(50) BroadcastExchange -Input [3]: [item_sk#38, sumss#39, rk#37] +(47) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(51) BroadcastHashJoin [codegen id : 21] -Left keys [1]: [item_sk#32] -Right keys [1]: [item_sk#38] +(48) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#34 >= rk#37) - -(52) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, sumss#39] -Input [7]: [item_sk#32, d_date#28, sumss#33, rk#34, item_sk#38, sumss#39, rk#37] - -(53) HashAggregate [codegen id : 21] -Input [4]: [item_sk#32, d_date#28, sumss#33, sumss#39] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [partial_sum(sumss#39)] -Aggregate Attributes [2]: [sum#40, isEmpty#41] -Results [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(54) CometColumnarExchange -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Arguments: hashpartitioning(item_sk#32, d_date#28, sumss#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(55) CometColumnarToRow [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(56) HashAggregate [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [sum(sumss#39)] -Aggregate Attributes [1]: [sum(sumss#39)#44] -Results [3]: [item_sk#32, d_date#28, sum(sumss#39)#44 AS cume_sales#45] - -(57) CometColumnarExchange -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: hashpartitioning(item_sk#32, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(58) CometSort -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#32, d_date#28, cume_sales#45], [item_sk#32 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] - -(59) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#23] -Right output [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#10, d_date#6], [item_sk#32, d_date#28], FullOuter - -(60) CometFilter -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END) - -(61) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END AS item_sk#46, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#47, cume_sales#23 AS web_sales#48, cume_sales#45 AS store_sales#49] - -(62) CometExchange -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: hashpartitioning(item_sk#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +Join condition: (rk#31 >= rk#34) -(63) CometSort -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST] +(49) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#26, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(64) CometColumnarToRow [codegen id : 23] -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(50) HashAggregate [codegen id : 16] +Input [4]: [item_sk#29, d_date#26, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] -(65) Window -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [row_number() windowspecdefinition(item_sk#46, d_date#47 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#50], [item_sk#46], [d_date#47 ASC NULLS FIRST] +(51) CometColumnarExchange +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#26, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(52) CometHashAggregate +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [sum(sumss#36)] + +(53) CometExchange +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] + +(54) CometSort +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#29, d_date#26, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] + +(55) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#26], FullOuter -(66) ReusedExchange [Reuses operator id: 62] -Output [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(56) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(67) CometSort -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST] +(57) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#26 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(68) CometColumnarToRow [codegen id : 46] -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(58) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(69) Window -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [row_number() windowspecdefinition(item_sk#46, d_date#47 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#51], [item_sk#46], [d_date#47 ASC NULLS FIRST] +(59) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] + +(60) CometColumnarToRow [codegen id : 17] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(61) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] + +(62) ReusedExchange [Reuses operator id: 58] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(63) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] + +(64) CometColumnarToRow [codegen id : 34] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(65) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(70) Project [codegen id : 47] -Output [4]: [item_sk#46 AS item_sk#52, web_sales#48 AS web_sales#53, store_sales#49 AS store_sales#54, rk#51] -Input [5]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, rk#51] +(66) Project [codegen id : 35] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(71) BroadcastExchange -Input [4]: [item_sk#52, web_sales#53, store_sales#54, rk#51] +(67) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(72) BroadcastHashJoin [codegen id : 48] -Left keys [1]: [item_sk#46] -Right keys [1]: [item_sk#52] +(68) BroadcastHashJoin [codegen id : 36] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#50 >= rk#51) - -(73) Project [codegen id : 48] -Output [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Input [9]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, rk#50, item_sk#52, web_sales#53, store_sales#54, rk#51] - -(74) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [partial_max(web_sales#53), partial_max(store_sales#54)] -Aggregate Attributes [2]: [max#55, max#56] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#57, max#58] - -(75) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#57, max#58] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [max(web_sales#53), max(store_sales#54)] -Aggregate Attributes [2]: [max(web_sales#53)#59, max(store_sales#54)#60] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max(web_sales#53)#59 AS web_cumulative#61, max(store_sales#54)#60 AS store_cumulative#62] - -(76) Filter [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] -Condition : ((isnotnull(web_cumulative#61) AND isnotnull(store_cumulative#62)) AND (web_cumulative#61 > store_cumulative#62)) - -(77) TakeOrderedAndProject -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] -Arguments: 100, [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST], [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] +Join condition: (rk#46 >= rk#47) + +(69) Project [codegen id : 36] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(70) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(71) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(72) Filter [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(73) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (82) -+- * CometColumnarToRow (81) - +- CometProject (80) - +- CometFilter (79) - +- CometNativeScan parquet spark_catalog.default.date_dim (78) +BroadcastExchange (78) ++- * CometColumnarToRow (77) + +- CometProject (76) + +- CometFilter (75) + +- CometNativeScan parquet spark_catalog.default.date_dim (74) -(78) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#63] +(74) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#59] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(79) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#63] -Condition : (((isnotnull(d_month_seq#63) AND (d_month_seq#63 >= 1212)) AND (d_month_seq#63 <= 1223)) AND isnotnull(d_date_sk#5)) +(75) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#59] +Condition : (((isnotnull(d_month_seq#59) AND (d_month_seq#59 >= 1212)) AND (d_month_seq#59 <= 1223)) AND isnotnull(d_date_sk#5)) -(80) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#63] +(76) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#59] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(81) CometColumnarToRow [codegen id : 1] +(77) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(82) BroadcastExchange +(78) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#26 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 28 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/extended.txt index 8eb3f067e2..ca5a28b519 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/extended.txt @@ -12,113 +12,107 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -129,112 +123,106 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 82 out of 196 eligible operators (41%). Final plan contains 42 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 94 out of 196 eligible operators (47%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/simplified.txt index 00cd0a509c..fdfacd9e58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (48) + WholeStageCodegen (36) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (23) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,111 +16,99 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (11) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #5 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometColumnarExchange [ws_item_sk] #4 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,sumws,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #5 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #8 - WholeStageCodegen (22) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #9 - WholeStageCodegen (21) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #8 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #9 + WholeStageCodegen (16) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #10 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #11 + WholeStageCodegen (10) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] - WholeStageCodegen (15) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (14) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,sumss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #11 - WholeStageCodegen (13) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (20) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (19) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 InputAdapter BroadcastExchange #13 - WholeStageCodegen (47) + WholeStageCodegen (35) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (46) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/explain.txt index f8a95a6db8..381dff9ac1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#16)] -Aggregate Attributes [1]: [sum(sumws#16)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#16)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(45) CometSort -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34], [ss_item_sk#34 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(47) Window -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [row_number() windowspecdefinition(ss_item_sk#34, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#35], [ss_item_sk#34], [d_date#33 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#30 AS item_sk#36, sumss#31 AS sumss#37, rk#35] -Input [5]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34, rk#35] +(47) Project [codegen id : 7] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(49) BroadcastExchange -Input [3]: [item_sk#36, sumss#37, rk#35] +(48) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#36] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#32 >= rk#35) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#36, sumss#37, rk#35] +Join condition: (rk#31 >= rk#34) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#37)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#37)] -Aggregate Attributes [1]: [sum(sumss#37)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#37)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#36)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(66) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(68) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#49], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#44 AS item_sk#50, web_sales#46 AS web_sales#51, store_sales#47 AS store_sales#52, rk#49] -Input [5]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#49] +(67) Project [codegen id : 19] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(70) BroadcastExchange -Input [4]: [item_sk#50, web_sales#51, store_sales#52, rk#49] +(68) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#50] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#48 >= rk#49) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#50, web_sales#51, store_sales#52, rk#49] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#53, max#54] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#57, max(store_sales#52)#58] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#57 AS web_cumulative#59, max(store_sales#52)#58 AS store_cumulative#60] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Condition : ((isnotnull(web_cumulative#59) AND isnotnull(store_cumulative#60)) AND (web_cumulative#59 > store_cumulative#60)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] +Join condition: (rk#46 >= rk#47) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q51a.native_iceberg_compat/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/explain.txt index be90722d2e..0938c362c9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] -Keys [5]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25] -Functions [1]: [sum(UnscaledValue(cs_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#27))#18] -Results [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, MakeDecimal(sum(UnscaledValue(cs_sales_price#27))#18,17,2) AS sum_sales#19] +(32) CometHashAggregate +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] +Keys [5]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24] +Functions [1]: [sum(UnscaledValue(cs_sales_price#26))] -(35) CometColumnarExchange -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#23 ASC NULLS FIRST, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#22 ASC NULLS FIRST, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] -(38) Window -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [rank(d_year#24, d_moy#25) windowspecdefinition(i_category#5, i_brand#4, cc_name#23, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#28], [i_category#5, i_brand#4, cc_name#23], [d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [rank(d_year#23, d_moy#24) windowspecdefinition(i_category#5, i_brand#4, cc_name#22, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#27], [i_category#5, i_brand#4, cc_name#22], [d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#5 AS i_category#29, i_brand#4 AS i_brand#30, cc_name#23, sum_sales#19 AS sum_sales#31, rn#28] -Input [7]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19, rn#28] +(37) Project [codegen id : 12] +Output [5]: [i_category#5 AS i_category#28, i_brand#4 AS i_brand#29, cc_name#22, sum_sales#18 AS sum_sales#30, rn#27] +Input [7]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18, rn#27] -(40) BroadcastExchange -Input [5]: [i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(38) BroadcastExchange +Input [5]: [i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#29, i_brand#30, cc_name#23, (rn#28 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#28, i_brand#29, cc_name#22, (rn#27 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(44) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#32 ASC NULLS FIRST, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(46) Window -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [rank(d_year#33, d_moy#34) windowspecdefinition(i_category#5, i_brand#4, cc_name#32, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#35], [i_category#5, i_brand#4, cc_name#32], [d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [rank(d_year#32, d_moy#33) windowspecdefinition(i_category#5, i_brand#4, cc_name#31, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#34], [i_category#5, i_brand#4, cc_name#31], [d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#5 AS i_category#36, i_brand#4 AS i_brand#37, cc_name#32, sum_sales#19 AS sum_sales#38, rn#35] -Input [7]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19, rn#35] +(45) Project [codegen id : 18] +Output [5]: [i_category#5 AS i_category#35, i_brand#4 AS i_brand#36, cc_name#31, sum_sales#18 AS sum_sales#37, rn#34] +Input [7]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18, rn#34] -(48) BroadcastExchange -Input [5]: [i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(46) BroadcastExchange +Input [5]: [i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#36, i_brand#37, cc_name#32, (rn#35 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#35, i_brand#36, cc_name#31, (rn#34 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#39, sum_sales#38 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(48) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#30 AS psum#38, sum_sales#37 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30, i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] -(51) TakeOrderedAndProject -Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/simplified.txt index e603f05322..430ec52926 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_m Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/explain.txt index 6b57e4b9c6..50df4454d9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/explain.txt @@ -1,103 +1,95 @@ == Physical Plan == -* CometColumnarToRow (99) -+- CometTakeOrderedAndProject (98) - +- CometHashAggregate (97) - +- CometColumnarExchange (96) - +- * HashAggregate (95) - +- Union (94) - :- * HashAggregate (79) - : +- * CometColumnarToRow (78) - : +- CometColumnarExchange (77) - : +- * HashAggregate (76) - : +- Union (75) - : :- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- Union (9) - : : : : :- * Project (4) - : : : : : +- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- * Project (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : : +- ReusedExchange (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : :- * HashAggregate (46) - : : +- * CometColumnarToRow (45) - : : +- CometColumnarExchange (44) - : : +- * HashAggregate (43) - : : +- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- Union (32) - : : : : :- * Project (27) - : : : : : +- * Filter (26) - : : : : : +- * ColumnarToRow (25) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : : +- * Project (31) - : : : : +- * Filter (30) - : : : : +- * ColumnarToRow (29) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : : +- ReusedExchange (33) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - : +- * HashAggregate (74) - : +- * CometColumnarToRow (73) - : +- CometColumnarExchange (72) - : +- * HashAggregate (71) - : +- * Project (70) - : +- * BroadcastHashJoin Inner BuildRight (69) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- Union (60) - : : : :- * Project (50) - : : : : +- * Filter (49) - : : : : +- * ColumnarToRow (48) - : : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : : +- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : : :- BroadcastExchange (53) - : : : : +- * ColumnarToRow (52) - : : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : : +- * CometColumnarToRow (57) - : : : +- CometProject (56) - : : : +- CometFilter (55) - : : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (61) - : +- BroadcastExchange (68) - : +- * CometColumnarToRow (67) - : +- CometProject (66) - : +- CometFilter (65) - : +- CometNativeScan parquet spark_catalog.default.web_site (64) - :- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- CometColumnarExchange (84) - : +- * HashAggregate (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- ReusedExchange (80) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- CometColumnarExchange (91) - +- * HashAggregate (90) - +- * HashAggregate (89) - +- * CometColumnarToRow (88) - +- ReusedExchange (87) +* CometColumnarToRow (91) ++- CometTakeOrderedAndProject (90) + +- CometHashAggregate (89) + +- CometExchange (88) + +- CometHashAggregate (87) + +- CometUnion (86) + :- CometHashAggregate (75) + : +- CometExchange (74) + : +- CometHashAggregate (73) + : +- CometUnion (72) + : :- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- Union (9) + : : : : :- * Project (4) + : : : : : +- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- * Project (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : : +- ReusedExchange (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : :- CometHashAggregate (44) + : : +- CometColumnarExchange (43) + : : +- * HashAggregate (42) + : : +- * Project (41) + : : +- * BroadcastHashJoin Inner BuildRight (40) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- Union (31) + : : : : :- * Project (26) + : : : : : +- * Filter (25) + : : : : : +- * ColumnarToRow (24) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : : +- * Project (30) + : : : : +- * Filter (29) + : : : : +- * ColumnarToRow (28) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : : +- ReusedExchange (32) + : : +- BroadcastExchange (39) + : : +- * CometColumnarToRow (38) + : : +- CometProject (37) + : : +- CometFilter (36) + : : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + : +- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- Union (58) + : : : :- * Project (48) + : : : : +- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- * Project (57) + : : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : : :- BroadcastExchange (51) + : : : : +- * ColumnarToRow (50) + : : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : : +- * CometColumnarToRow (55) + : : : +- CometProject (54) + : : : +- CometFilter (53) + : : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : : +- ReusedExchange (59) + : +- BroadcastExchange (66) + : +- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometFilter (63) + : +- CometNativeScan parquet spark_catalog.default.web_site (62) + :- CometHashAggregate (80) + : +- CometExchange (79) + : +- CometHashAggregate (78) + : +- CometHashAggregate (77) + : +- ReusedExchange (76) + +- CometHashAggregate (85) + +- CometExchange (84) + +- CometHashAggregate (83) + +- CometHashAggregate (82) + +- ReusedExchange (81) (1) Scan parquet spark_catalog.default.store_sales @@ -140,7 +132,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 104] +(10) ReusedExchange [Reuses operator id: 96] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -196,407 +188,365 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [store channel AS channel#38, concat(store, s_store_id#25) AS id#39, MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#40, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#41, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#65, 16, true, false, true) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#56, 16, true, false, true) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [catalog channel AS channel#79, concat(catalog_page, cp_catalog_page_id#66) AS id#80, MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#81, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#82, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#111, 16, true, false, true) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#93, 16, true, false, true) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [web channel AS channel#125, concat(web_site, web_site_id#112) AS id#126, MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#127, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#128, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#129] - -(75) Union - -(76) HashAggregate [codegen id : 20] -Input [5]: [channel#38, id#39, sales#40, returns#41, profit#42] -Keys [2]: [channel#38, id#39] -Functions [3]: [partial_sum(sales#40), partial_sum(returns#41), partial_sum(profit#42)] -Aggregate Attributes [6]: [sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135] -Results [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(77) CometColumnarExchange -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Arguments: hashpartitioning(channel#38, id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(78) CometColumnarToRow [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(79) HashAggregate [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [5]: [channel#38, id#39, cast(sum(sales#40)#142 as decimal(37,2)) AS sales#145, cast(sum(returns#41)#143 as decimal(37,2)) AS returns#146, cast(sum(profit#42)#144 as decimal(38,2)) AS profit#147] - -(80) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(81) CometColumnarToRow [codegen id : 42] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(82) HashAggregate [codegen id : 42] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [4]: [channel#38, sum(sales#40)#142 AS sales#148, sum(returns#41)#143 AS returns#149, sum(profit#42)#144 AS profit#150] - -(83) HashAggregate [codegen id : 42] -Input [4]: [channel#38, sales#148, returns#149, profit#150] -Keys [1]: [channel#38] -Functions [3]: [partial_sum(sales#148), partial_sum(returns#149), partial_sum(profit#150)] -Aggregate Attributes [6]: [sum#151, isEmpty#152, sum#153, isEmpty#154, sum#155, isEmpty#156] -Results [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] - -(84) CometColumnarExchange -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] -Arguments: hashpartitioning(channel#38, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(85) CometColumnarToRow [codegen id : 43] -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] - -(86) HashAggregate [codegen id : 43] -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] -Keys [1]: [channel#38] -Functions [3]: [sum(sales#148), sum(returns#149), sum(profit#150)] -Aggregate Attributes [3]: [sum(sales#148)#163, sum(returns#149)#164, sum(profit#150)#165] -Results [5]: [channel#38, null AS id#166, sum(sales#148)#163 AS sum(sales)#167, sum(returns#149)#164 AS sum(returns)#168, sum(profit#150)#165 AS sum(profit)#169] - -(87) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(88) CometColumnarToRow [codegen id : 64] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(89) HashAggregate [codegen id : 64] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [3]: [sum(sales#40)#142 AS sales#148, sum(returns#41)#143 AS returns#149, sum(profit#42)#144 AS profit#150] - -(90) HashAggregate [codegen id : 64] -Input [3]: [sales#148, returns#149, profit#150] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Child 1 Input [5]: [channel#108, id#109, sales#110, returns#111, profit#112] +Child 2 Input [5]: [channel#113, id#114, sales#115, returns#116, profit#117] + +(73) CometHashAggregate +Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Keys [2]: [channel#103, id#104] +Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] + +(74) CometExchange +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Arguments: hashpartitioning(channel#103, id#104, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(75) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(76) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] + +(77) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(78) CometHashAggregate +Input [4]: [channel#103, sales#124, returns#125, profit#126] +Keys [1]: [channel#103] +Functions [3]: [partial_sum(sales#124), partial_sum(returns#125), partial_sum(profit#126)] + +(79) CometExchange +Input [7]: [channel#103, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132] +Arguments: hashpartitioning(channel#103, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(80) CometHashAggregate +Input [7]: [channel#103, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132] +Keys [1]: [channel#103] +Functions [3]: [sum(sales#124), sum(returns#125), sum(profit#126)] + +(81) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] + +(82) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(83) CometHashAggregate +Input [3]: [sales#124, returns#125, profit#126] Keys: [] -Functions [3]: [partial_sum(sales#148), partial_sum(returns#149), partial_sum(profit#150)] -Aggregate Attributes [6]: [sum#170, isEmpty#171, sum#172, isEmpty#173, sum#174, isEmpty#175] -Results [6]: [sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181] - -(91) CometColumnarExchange -Input [6]: [sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#124), partial_sum(returns#125), partial_sum(profit#126)] -(92) CometColumnarToRow [codegen id : 65] -Input [6]: [sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181] +(84) CometExchange +Input [6]: [sum#133, isEmpty#134, sum#135, isEmpty#136, sum#137, isEmpty#138] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(93) HashAggregate [codegen id : 65] -Input [6]: [sum#176, isEmpty#177, sum#178, isEmpty#179, sum#180, isEmpty#181] +(85) CometHashAggregate +Input [6]: [sum#133, isEmpty#134, sum#135, isEmpty#136, sum#137, isEmpty#138] Keys: [] -Functions [3]: [sum(sales#148), sum(returns#149), sum(profit#150)] -Aggregate Attributes [3]: [sum(sales#148)#182, sum(returns#149)#183, sum(profit#150)#184] -Results [5]: [null AS channel#185, null AS id#186, sum(sales#148)#182 AS sum(sales)#187, sum(returns#149)#183 AS sum(returns)#188, sum(profit#150)#184 AS sum(profit)#189] +Functions [3]: [sum(sales#124), sum(returns#125), sum(profit#126)] -(94) Union +(86) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] +Child 1 Input [5]: [channel#103, id#142, sum(sales)#143, sum(returns)#144, sum(profit)#145] +Child 2 Input [5]: [channel#146, id#147, sum(sales)#148, sum(returns)#149, sum(profit)#150] -(95) HashAggregate [codegen id : 66] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(87) CometHashAggregate +Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] +Keys [5]: [channel#103, id#104, sales#139, returns#140, profit#141] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -(96) CometColumnarExchange -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: hashpartitioning(channel#38, id#39, sales#145, returns#146, profit#147, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(88) CometExchange +Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] +Arguments: hashpartitioning(channel#103, id#104, sales#139, returns#140, profit#141, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(97) CometHashAggregate -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(89) CometHashAggregate +Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] +Keys [5]: [channel#103, id#104, sales#139, returns#140, profit#141] Functions: [] -(98) CometTakeOrderedAndProject -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#38 ASC NULLS FIRST,id#39 ASC NULLS FIRST], output=[channel#38,id#39,sales#145,returns#146,profit#147]), [channel#38, id#39, sales#145, returns#146, profit#147], 100, 0, [channel#38 ASC NULLS FIRST, id#39 ASC NULLS FIRST], [channel#38, id#39, sales#145, returns#146, profit#147] +(90) CometTakeOrderedAndProject +Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#103 ASC NULLS FIRST,id#104 ASC NULLS FIRST], output=[channel#103,id#104,sales#139,returns#140,profit#141]), [channel#103, id#104, sales#139, returns#140, profit#141], 100, 0, [channel#103 ASC NULLS FIRST, id#104 ASC NULLS FIRST], [channel#103, id#104, sales#139, returns#140, profit#141] -(99) CometColumnarToRow [codegen id : 67] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(91) CometColumnarToRow [codegen id : 49] +Input [5]: [channel#103, id#104, sales#139, returns#140, profit#141] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +BroadcastExchange (96) ++- * CometColumnarToRow (95) + +- CometProject (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#190] +(92) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#151] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-08-18), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#22, d_date#190] -Condition : (((isnotnull(d_date#190) AND (d_date#190 >= 1998-08-04)) AND (d_date#190 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) +(93) CometFilter +Input [2]: [d_date_sk#22, d_date#151] +Condition : (((isnotnull(d_date#151) AND (d_date#151 >= 1998-08-04)) AND (d_date#151 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) -(102) CometProject -Input [2]: [d_date_sk#22, d_date#190] +(94) CometProject +Input [2]: [d_date_sk#22, d_date#151] Arguments: [d_date_sk#22], [d_date_sk#22] -(103) CometColumnarToRow [codegen id : 1] +(95) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(104) BroadcastExchange +(96) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/extended.txt index 63ea8e5ea8..d68ed89364 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/extended.txt @@ -1,322 +1,308 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 89 out of 263 eligible operators (33%). Final plan contains 57 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 113 out of 263 eligible operators (42%). Final plan contains 43 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/simplified.txt index dc9c9b1ce7..232b0a1fb3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q5a.native_datafusion/simplified.txt @@ -1,167 +1,139 @@ -WholeStageCodegen (67) +WholeStageCodegen (49) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (66) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (21) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (20) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #3 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (4) + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id] #2 + CometHashAggregate [sales,returns,profit] [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,s_store_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [s_store_id] #3 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (4) CometColumnarToRow InputAdapter - CometColumnarExchange [cp_catalog_page_id] #6 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,cp_catalog_page_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [cp_catalog_page_id] #6 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (9) CometColumnarToRow InputAdapter - CometColumnarExchange [web_site_id] #8 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] - WholeStageCodegen (43) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #11 - WholeStageCodegen (42) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (65) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (64) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,web_site_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [web_site_id] #8 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #11 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange #12 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/explain.txt index e0b30c6833..25472904e0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#19] Input [2]: [ca_state#3, count#19] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#19] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#19] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#20] -Results [3]: [ca_state#3 AS state#21, count(1)#20 AS cnt#22, ca_state#3] -(39) Filter [codegen id : 5] -Input [3]: [state#21, cnt#22, ca_state#3] -Condition : (cnt#22 >= 10) +(38) CometFilter +Input [3]: [state#20, cnt#21, ca_state#3] +Condition : (cnt#21 >= 10) + +(39) CometTakeOrderedAndProject +Input [3]: [state#20, cnt#21, ca_state#3] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#21 ASC NULLS FIRST,ca_state#3 ASC NULLS FIRST], output=[state#20,cnt#21]), [state#20, cnt#21], 100, 0, [cnt#21 ASC NULLS FIRST, ca_state#3 ASC NULLS FIRST], [state#20, cnt#21] -(40) TakeOrderedAndProject -Input [3]: [state#21, cnt#22, ca_state#3] -Arguments: 100, [cnt#22 ASC NULLS FIRST, ca_state#3 ASC NULLS FIRST], [state#21, cnt#22] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#20, cnt#21] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#23] +Output [2]: [d_date_sk#10, d_month_seq#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#23] -Condition : ((isnotnull(d_month_seq#23) AND (d_month_seq#23 = Subquery scalar-subquery#24, [id=#25])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#22] +Condition : ((isnotnull(d_month_seq#22) AND (d_month_seq#22 = Subquery scalar-subquery#23, [id=#24])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#23] +Input [2]: [d_date_sk#10, d_month_seq#22] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,7 +257,7 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#24, [id=#25] +Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#23, [id=#24] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -270,35 +268,35 @@ Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#23, d_year#26, d_moy#27] +Output [3]: [d_month_seq#22, d_year#25, d_moy#26] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#23, d_year#26, d_moy#27] -Condition : (((isnotnull(d_year#26) AND isnotnull(d_moy#27)) AND (d_year#26 = 2000)) AND (d_moy#27 = 1)) +Input [3]: [d_month_seq#22, d_year#25, d_moy#26] +Condition : (((isnotnull(d_year#25) AND isnotnull(d_moy#26)) AND (d_year#25 = 2000)) AND (d_moy#26 = 1)) (48) CometProject -Input [3]: [d_month_seq#23, d_year#26, d_moy#27] -Arguments: [d_month_seq#23], [d_month_seq#23] +Input [3]: [d_month_seq#22, d_year#25, d_moy#26] +Arguments: [d_month_seq#22], [d_month_seq#22] (49) CometHashAggregate -Input [1]: [d_month_seq#23] -Keys [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] +Keys [1]: [d_month_seq#22] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#23] -Arguments: hashpartitioning(d_month_seq#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#22] +Arguments: hashpartitioning(d_month_seq#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#23] -Keys [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] +Keys [1]: [d_month_seq#22] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#23] +Input [1]: [d_month_seq#22] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/extended.txt index fe3b28849a..6e247abdbb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -65,4 +65,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 58 eligible operators (67%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 58 eligible operators (72%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/simplified.txt index 76dd43f9c7..003509d6c6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,ca_state,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state] [state,cnt] + CometFilter [state,cnt,ca_state] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/explain.txt index 674c7c227b..4968e1880b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/explain.txt @@ -1,91 +1,74 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * Filter (86) - +- Window (85) - +- * CometColumnarToRow (84) - +- CometSort (83) - +- CometColumnarExchange (82) - +- Union (81) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.item (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - :- * HashAggregate (38) - : +- * CometColumnarToRow (37) - : +- CometColumnarExchange (36) - : +- * HashAggregate (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- ReusedExchange (39) - :- * HashAggregate (52) - : +- * CometColumnarToRow (51) - : +- CometColumnarExchange (50) - : +- * HashAggregate (49) - : +- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- ReusedExchange (46) - :- * HashAggregate (59) - : +- * CometColumnarToRow (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- ReusedExchange (53) - :- * HashAggregate (66) - : +- * CometColumnarToRow (65) - : +- CometColumnarExchange (64) - : +- * HashAggregate (63) - : +- * HashAggregate (62) - : +- * CometColumnarToRow (61) - : +- ReusedExchange (60) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- ReusedExchange (67) - +- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- ReusedExchange (74) +TakeOrderedAndProject (70) ++- * Filter (69) + +- Window (68) + +- * CometColumnarToRow (67) + +- CometSort (66) + +- CometExchange (65) + +- CometUnion (64) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.item (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + :- CometHashAggregate (33) + : +- CometExchange (32) + : +- CometHashAggregate (31) + : +- CometHashAggregate (30) + : +- ReusedExchange (29) + :- CometHashAggregate (38) + : +- CometExchange (37) + : +- CometHashAggregate (36) + : +- CometHashAggregate (35) + : +- ReusedExchange (34) + :- CometHashAggregate (43) + : +- CometExchange (42) + : +- CometHashAggregate (41) + : +- CometHashAggregate (40) + : +- ReusedExchange (39) + :- CometHashAggregate (48) + : +- CometExchange (47) + : +- CometHashAggregate (46) + : +- CometHashAggregate (45) + : +- ReusedExchange (44) + :- CometHashAggregate (53) + : +- CometExchange (52) + : +- CometHashAggregate (51) + : +- CometHashAggregate (50) + : +- ReusedExchange (49) + :- CometHashAggregate (58) + : +- CometExchange (57) + : +- CometHashAggregate (56) + : +- CometHashAggregate (55) + : +- ReusedExchange (54) + +- CometHashAggregate (63) + +- CometExchange (62) + +- CometHashAggregate (61) + +- CometHashAggregate (60) + +- ReusedExchange (59) (1) Scan parquet spark_catalog.default.store_sales @@ -103,7 +86,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sol Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 92] +(4) ReusedExchange [Reuses operator id: 75] Output [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (5) BroadcastHashJoin [codegen id : 4] @@ -191,342 +174,250 @@ Results [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year# Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27] -Results [9]: [i_category#21 AS i_category#28, i_class#20 AS i_class#29, i_brand#19 AS i_brand#30, i_product_name#22 AS i_product_name#31, d_year#8 AS d_year#32, d_qoy#10 AS d_qoy#33, d_moy#9 AS d_moy#34, s_store_id#13 AS s_store_id#35, cast(sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27 as decimal(38,2)) AS sumsales#36] -(25) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] - -(26) CometColumnarToRow [codegen id : 10] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] - -(27) HashAggregate [codegen id : 10] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))#27] -Results [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))#27 AS sumsales#44] - -(28) HashAggregate [codegen id : 10] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sumsales#44] -Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#45, isEmpty#46] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] - -(29) CometColumnarExchange -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(30) CometColumnarToRow [codegen id : 11] -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] - -(31) HashAggregate [codegen id : 11] -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] -Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#49] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, null AS s_store_id#50, sum(sumsales#44)#49 AS sumsales#51] - -(32) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] - -(33) CometColumnarToRow [codegen id : 16] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] - -(34) HashAggregate [codegen id : 16] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))#27] -Results [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))#27 AS sumsales#44] - -(35) HashAggregate [codegen id : 16] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sumsales#44] -Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#59, isEmpty#60] -Results [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#61, isEmpty#62] - -(36) CometColumnarExchange -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#61, isEmpty#62] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(37) CometColumnarToRow [codegen id : 17] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#61, isEmpty#62] - -(38) HashAggregate [codegen id : 17] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#61, isEmpty#62] -Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#63] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, null AS d_moy#64, null AS s_store_id#65, sum(sumsales#44)#63 AS sumsales#66] +(24) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13, sum#30, isEmpty#31] -(39) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13, sum#70, isEmpty#71] - -(40) CometColumnarToRow [codegen id : 22] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13, sum#70, isEmpty#71] - -(41) HashAggregate [codegen id : 22] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13, sum#70, isEmpty#71] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#72 * cast(ss_quantity#73 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#72 * cast(ss_quantity#73 as decimal(10,0))), 0.00))#27] -Results [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sum(coalesce((ss_sales_price#72 * cast(ss_quantity#73 as decimal(10,0))), 0.00))#27 AS sumsales#44] - -(42) HashAggregate [codegen id : 22] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sumsales#44] -Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#74, isEmpty#75] -Results [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sum#76, isEmpty#77] - -(43) CometColumnarExchange -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sum#76, isEmpty#77] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(44) CometColumnarToRow [codegen id : 23] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sum#76, isEmpty#77] - -(45) HashAggregate [codegen id : 23] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, sum#76, isEmpty#77] -Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#78] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, null AS d_qoy#79, null AS d_moy#80, null AS s_store_id#81, sum(sumsales#44)#78 AS sumsales#82] - -(46) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#83, d_qoy#84, d_moy#85, s_store_id#13, sum#86, isEmpty#87] - -(47) CometColumnarToRow [codegen id : 28] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#83, d_qoy#84, d_moy#85, s_store_id#13, sum#86, isEmpty#87] - -(48) HashAggregate [codegen id : 28] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#83, d_qoy#84, d_moy#85, s_store_id#13, sum#86, isEmpty#87] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#83, d_qoy#84, d_moy#85, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))#27] -Results [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))#27 AS sumsales#44] - -(49) HashAggregate [codegen id : 28] -Input [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sumsales#44] -Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#90, isEmpty#91] -Results [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#92, isEmpty#93] +(25) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13, sum#30, isEmpty#31] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#32 * cast(ss_quantity#33 as decimal(10,0))), 0.00))] -(50) CometColumnarExchange -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#92, isEmpty#93] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(26) CometHashAggregate +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sumsales#34] +Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29] +Functions [1]: [partial_sum(sumsales#34)] -(51) CometColumnarToRow [codegen id : 29] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#92, isEmpty#93] +(27) CometExchange +Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sum#35, isEmpty#36] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(52) HashAggregate [codegen id : 29] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#92, isEmpty#93] -Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#94] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, null AS d_year#95, null AS d_qoy#96, null AS d_moy#97, null AS s_store_id#98, sum(sumsales#44)#94 AS sumsales#99] +(28) CometHashAggregate +Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sum#35, isEmpty#36] +Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29] +Functions [1]: [sum(sumsales#34)] -(53) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#100, d_qoy#101, d_moy#102, s_store_id#13, sum#103, isEmpty#104] +(29) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] -(54) CometColumnarToRow [codegen id : 34] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#100, d_qoy#101, d_moy#102, s_store_id#13, sum#103, isEmpty#104] +(30) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))] -(55) HashAggregate [codegen id : 34] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#100, d_qoy#101, d_moy#102, s_store_id#13, sum#103, isEmpty#104] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#100, d_qoy#101, d_moy#102, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#105 * cast(ss_quantity#106 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#105 * cast(ss_quantity#106 as decimal(10,0))), 0.00))#27] -Results [4]: [i_category#21, i_class#20, i_brand#19, sum(coalesce((ss_sales_price#105 * cast(ss_quantity#106 as decimal(10,0))), 0.00))#27 AS sumsales#44] +(31) CometHashAggregate +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sumsales#34] +Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38] +Functions [1]: [partial_sum(sumsales#34)] -(56) HashAggregate [codegen id : 34] -Input [4]: [i_category#21, i_class#20, i_brand#19, sumsales#44] -Keys [3]: [i_category#21, i_class#20, i_brand#19] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#107, isEmpty#108] -Results [5]: [i_category#21, i_class#20, i_brand#19, sum#109, isEmpty#110] +(32) CometExchange +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sum#44, isEmpty#45] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(57) CometColumnarExchange -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#109, isEmpty#110] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(33) CometHashAggregate +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sum#44, isEmpty#45] +Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38] +Functions [1]: [sum(sumsales#34)] -(58) CometColumnarToRow [codegen id : 35] -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#109, isEmpty#110] +(34) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, d_qoy#47, d_moy#48, s_store_id#13, sum#49, isEmpty#50] -(59) HashAggregate [codegen id : 35] -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#109, isEmpty#110] -Keys [3]: [i_category#21, i_class#20, i_brand#19] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#111] -Results [9]: [i_category#21, i_class#20, i_brand#19, null AS i_product_name#112, null AS d_year#113, null AS d_qoy#114, null AS d_moy#115, null AS s_store_id#116, sum(sumsales#44)#111 AS sumsales#117] +(35) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, d_qoy#47, d_moy#48, s_store_id#13, sum#49, isEmpty#50] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, d_qoy#47, d_moy#48, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#51 * cast(ss_quantity#52 as decimal(10,0))), 0.00))] -(60) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#118, d_qoy#119, d_moy#120, s_store_id#13, sum#121, isEmpty#122] +(36) CometHashAggregate +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, sumsales#34] +Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46] +Functions [1]: [partial_sum(sumsales#34)] -(61) CometColumnarToRow [codegen id : 40] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#118, d_qoy#119, d_moy#120, s_store_id#13, sum#121, isEmpty#122] +(37) CometExchange +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, sum#53, isEmpty#54] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(62) HashAggregate [codegen id : 40] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#118, d_qoy#119, d_moy#120, s_store_id#13, sum#121, isEmpty#122] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#118, d_qoy#119, d_moy#120, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#123 * cast(ss_quantity#124 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#123 * cast(ss_quantity#124 as decimal(10,0))), 0.00))#27] -Results [3]: [i_category#21, i_class#20, sum(coalesce((ss_sales_price#123 * cast(ss_quantity#124 as decimal(10,0))), 0.00))#27 AS sumsales#44] +(38) CometHashAggregate +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, sum#53, isEmpty#54] +Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46] +Functions [1]: [sum(sumsales#34)] -(63) HashAggregate [codegen id : 40] -Input [3]: [i_category#21, i_class#20, sumsales#44] -Keys [2]: [i_category#21, i_class#20] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#125, isEmpty#126] -Results [4]: [i_category#21, i_class#20, sum#127, isEmpty#128] +(39) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#55, d_qoy#56, d_moy#57, s_store_id#13, sum#58, isEmpty#59] -(64) CometColumnarExchange -Input [4]: [i_category#21, i_class#20, sum#127, isEmpty#128] -Arguments: hashpartitioning(i_category#21, i_class#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(40) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#55, d_qoy#56, d_moy#57, s_store_id#13, sum#58, isEmpty#59] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#55, d_qoy#56, d_moy#57, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#60 * cast(ss_quantity#61 as decimal(10,0))), 0.00))] -(65) CometColumnarToRow [codegen id : 41] -Input [4]: [i_category#21, i_class#20, sum#127, isEmpty#128] +(41) CometHashAggregate +Input [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sumsales#34] +Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] +Functions [1]: [partial_sum(sumsales#34)] -(66) HashAggregate [codegen id : 41] -Input [4]: [i_category#21, i_class#20, sum#127, isEmpty#128] -Keys [2]: [i_category#21, i_class#20] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#129] -Results [9]: [i_category#21, i_class#20, null AS i_brand#130, null AS i_product_name#131, null AS d_year#132, null AS d_qoy#133, null AS d_moy#134, null AS s_store_id#135, sum(sumsales#44)#129 AS sumsales#136] +(42) CometExchange +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#62, isEmpty#63] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(67) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#137, d_qoy#138, d_moy#139, s_store_id#13, sum#140, isEmpty#141] +(43) CometHashAggregate +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#62, isEmpty#63] +Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] +Functions [1]: [sum(sumsales#34)] -(68) CometColumnarToRow [codegen id : 46] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#137, d_qoy#138, d_moy#139, s_store_id#13, sum#140, isEmpty#141] +(44) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#64, d_qoy#65, d_moy#66, s_store_id#13, sum#67, isEmpty#68] -(69) HashAggregate [codegen id : 46] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#137, d_qoy#138, d_moy#139, s_store_id#13, sum#140, isEmpty#141] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#137, d_qoy#138, d_moy#139, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#142 * cast(ss_quantity#143 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#142 * cast(ss_quantity#143 as decimal(10,0))), 0.00))#27] -Results [2]: [i_category#21, sum(coalesce((ss_sales_price#142 * cast(ss_quantity#143 as decimal(10,0))), 0.00))#27 AS sumsales#44] +(45) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#64, d_qoy#65, d_moy#66, s_store_id#13, sum#67, isEmpty#68] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#64, d_qoy#65, d_moy#66, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#69 * cast(ss_quantity#70 as decimal(10,0))), 0.00))] -(70) HashAggregate [codegen id : 46] -Input [2]: [i_category#21, sumsales#44] -Keys [1]: [i_category#21] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#144, isEmpty#145] -Results [3]: [i_category#21, sum#146, isEmpty#147] +(46) CometHashAggregate +Input [4]: [i_category#21, i_class#20, i_brand#19, sumsales#34] +Keys [3]: [i_category#21, i_class#20, i_brand#19] +Functions [1]: [partial_sum(sumsales#34)] -(71) CometColumnarExchange -Input [3]: [i_category#21, sum#146, isEmpty#147] -Arguments: hashpartitioning(i_category#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(47) CometExchange +Input [5]: [i_category#21, i_class#20, i_brand#19, sum#71, isEmpty#72] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(72) CometColumnarToRow [codegen id : 47] -Input [3]: [i_category#21, sum#146, isEmpty#147] +(48) CometHashAggregate +Input [5]: [i_category#21, i_class#20, i_brand#19, sum#71, isEmpty#72] +Keys [3]: [i_category#21, i_class#20, i_brand#19] +Functions [1]: [sum(sumsales#34)] -(73) HashAggregate [codegen id : 47] -Input [3]: [i_category#21, sum#146, isEmpty#147] -Keys [1]: [i_category#21] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#148] -Results [9]: [i_category#21, null AS i_class#149, null AS i_brand#150, null AS i_product_name#151, null AS d_year#152, null AS d_qoy#153, null AS d_moy#154, null AS s_store_id#155, sum(sumsales#44)#148 AS sumsales#156] +(49) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#73, d_qoy#74, d_moy#75, s_store_id#13, sum#76, isEmpty#77] -(74) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#157, d_qoy#158, d_moy#159, s_store_id#13, sum#160, isEmpty#161] +(50) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#73, d_qoy#74, d_moy#75, s_store_id#13, sum#76, isEmpty#77] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#73, d_qoy#74, d_moy#75, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#78 * cast(ss_quantity#79 as decimal(10,0))), 0.00))] -(75) CometColumnarToRow [codegen id : 52] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#157, d_qoy#158, d_moy#159, s_store_id#13, sum#160, isEmpty#161] +(51) CometHashAggregate +Input [3]: [i_category#21, i_class#20, sumsales#34] +Keys [2]: [i_category#21, i_class#20] +Functions [1]: [partial_sum(sumsales#34)] -(76) HashAggregate [codegen id : 52] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#157, d_qoy#158, d_moy#159, s_store_id#13, sum#160, isEmpty#161] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#157, d_qoy#158, d_moy#159, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#162 * cast(ss_quantity#163 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#162 * cast(ss_quantity#163 as decimal(10,0))), 0.00))#27] -Results [1]: [sum(coalesce((ss_sales_price#162 * cast(ss_quantity#163 as decimal(10,0))), 0.00))#27 AS sumsales#44] +(52) CometExchange +Input [4]: [i_category#21, i_class#20, sum#80, isEmpty#81] +Arguments: hashpartitioning(i_category#21, i_class#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(77) HashAggregate [codegen id : 52] -Input [1]: [sumsales#44] -Keys: [] -Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#164, isEmpty#165] -Results [2]: [sum#166, isEmpty#167] +(53) CometHashAggregate +Input [4]: [i_category#21, i_class#20, sum#80, isEmpty#81] +Keys [2]: [i_category#21, i_class#20] +Functions [1]: [sum(sumsales#34)] -(78) CometColumnarExchange -Input [2]: [sum#166, isEmpty#167] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(54) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#82, d_qoy#83, d_moy#84, s_store_id#13, sum#85, isEmpty#86] -(79) CometColumnarToRow [codegen id : 53] -Input [2]: [sum#166, isEmpty#167] +(55) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#82, d_qoy#83, d_moy#84, s_store_id#13, sum#85, isEmpty#86] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#82, d_qoy#83, d_moy#84, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#87 * cast(ss_quantity#88 as decimal(10,0))), 0.00))] -(80) HashAggregate [codegen id : 53] -Input [2]: [sum#166, isEmpty#167] -Keys: [] -Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#168] -Results [9]: [null AS i_category#169, null AS i_class#170, null AS i_brand#171, null AS i_product_name#172, null AS d_year#173, null AS d_qoy#174, null AS d_moy#175, null AS s_store_id#176, sum(sumsales#44)#168 AS sumsales#177] +(56) CometHashAggregate +Input [2]: [i_category#21, sumsales#34] +Keys [1]: [i_category#21] +Functions [1]: [partial_sum(sumsales#34)] -(81) Union +(57) CometExchange +Input [3]: [i_category#21, sum#89, isEmpty#90] +Arguments: hashpartitioning(i_category#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(82) CometColumnarExchange -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: hashpartitioning(i_category#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(58) CometHashAggregate +Input [3]: [i_category#21, sum#89, isEmpty#90] +Keys [1]: [i_category#21] +Functions [1]: [sum(sumsales#34)] -(83) CometSort -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36], [i_category#28 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] +(59) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#91, d_qoy#92, d_moy#93, s_store_id#13, sum#94, isEmpty#95] -(84) CometColumnarToRow [codegen id : 54] -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] +(60) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#91, d_qoy#92, d_moy#93, s_store_id#13, sum#94, isEmpty#95] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#91, d_qoy#92, d_moy#93, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#96 * cast(ss_quantity#97 as decimal(10,0))), 0.00))] -(85) Window -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [rank(sumsales#36) windowspecdefinition(i_category#28, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#178], [i_category#28], [sumsales#36 DESC NULLS LAST] +(61) CometHashAggregate +Input [1]: [sumsales#34] +Keys: [] +Functions [1]: [partial_sum(sumsales#34)] -(86) Filter [codegen id : 55] -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#178] -Condition : (rk#178 <= 100) +(62) CometExchange +Input [2]: [sum#98, isEmpty#99] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(87) TakeOrderedAndProject -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#178] -Arguments: 100, [i_category#28 ASC NULLS FIRST, i_class#29 ASC NULLS FIRST, i_brand#30 ASC NULLS FIRST, i_product_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_qoy#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, s_store_id#35 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#178 ASC NULLS FIRST], [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#178] +(63) CometHashAggregate +Input [2]: [sum#98, isEmpty#99] +Keys: [] +Functions [1]: [sum(sumsales#34)] + +(64) CometUnion +Child 0 Input [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108] +Child 1 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#109, sumsales#110] +Child 2 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#111, s_store_id#112, sumsales#113] +Child 3 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#46, d_qoy#114, d_moy#115, s_store_id#116, sumsales#117] +Child 4 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#118, d_qoy#119, d_moy#120, s_store_id#121, sumsales#122] +Child 5 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#123, d_year#124, d_qoy#125, d_moy#126, s_store_id#127, sumsales#128] +Child 6 Input [9]: [i_category#21, i_class#20, i_brand#129, i_product_name#130, d_year#131, d_qoy#132, d_moy#133, s_store_id#134, sumsales#135] +Child 7 Input [9]: [i_category#21, i_class#136, i_brand#137, i_product_name#138, d_year#139, d_qoy#140, d_moy#141, s_store_id#142, sumsales#143] +Child 8 Input [9]: [i_category#144, i_class#145, i_brand#146, i_product_name#147, d_year#148, d_qoy#149, d_moy#150, s_store_id#151, sumsales#152] + +(65) CometExchange +Input [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108] +Arguments: hashpartitioning(i_category#100, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(66) CometSort +Input [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108] +Arguments: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108], [i_category#100 ASC NULLS FIRST, sumsales#108 DESC NULLS LAST] + +(67) CometColumnarToRow [codegen id : 37] +Input [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108] + +(68) Window +Input [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108] +Arguments: [rank(sumsales#108) windowspecdefinition(i_category#100, sumsales#108 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#153], [i_category#100], [sumsales#108 DESC NULLS LAST] + +(69) Filter [codegen id : 38] +Input [10]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108, rk#153] +Condition : (rk#153 <= 100) + +(70) TakeOrderedAndProject +Input [10]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108, rk#153] +Arguments: 100, [i_category#100 ASC NULLS FIRST, i_class#101 ASC NULLS FIRST, i_brand#102 ASC NULLS FIRST, i_product_name#103 ASC NULLS FIRST, d_year#104 ASC NULLS FIRST, d_qoy#105 ASC NULLS FIRST, d_moy#106 ASC NULLS FIRST, s_store_id#107 ASC NULLS FIRST, sumsales#108 ASC NULLS FIRST, rk#153 ASC NULLS FIRST], [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sumsales#108, rk#153] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (92) -+- * CometColumnarToRow (91) - +- CometProject (90) - +- CometFilter (89) - +- CometNativeScan parquet spark_catalog.default.date_dim (88) +BroadcastExchange (75) ++- * CometColumnarToRow (74) + +- CometProject (73) + +- CometFilter (72) + +- CometNativeScan parquet spark_catalog.default.date_dim (71) -(88) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#179, d_year#8, d_moy#9, d_qoy#10] +(71) CometNativeScan parquet spark_catalog.default.date_dim +Output [5]: [d_date_sk#7, d_month_seq#154, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(89) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#179, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#179) AND (d_month_seq#179 >= 1212)) AND (d_month_seq#179 <= 1223)) AND isnotnull(d_date_sk#7)) +(72) CometFilter +Input [5]: [d_date_sk#7, d_month_seq#154, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#154) AND (d_month_seq#154 >= 1212)) AND (d_month_seq#154 <= 1223)) AND isnotnull(d_date_sk#7)) -(90) CometProject -Input [5]: [d_date_sk#7, d_month_seq#179, d_year#8, d_moy#9, d_qoy#10] +(73) CometProject +Input [5]: [d_date_sk#7, d_month_seq#154, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(91) CometColumnarToRow [codegen id : 1] +(74) CometColumnarToRow [codegen id : 1] Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(92) BroadcastExchange +(75) BroadcastExchange Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/extended.txt index a2ddc934bb..9641c526d6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/extended.txt @@ -3,345 +3,328 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 127 out of 282 eligible operators (45%). Final plan contains 63 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 153 out of 282 eligible operators (54%). Final plan contains 46 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/simplified.txt index 4bc3f849c5..497c496860 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q67a.native_datafusion/simplified.txt @@ -1,142 +1,91 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,rk] - WholeStageCodegen (55) + WholeStageCodegen (38) Filter [rk] InputAdapter Window [sumsales,i_category] - WholeStageCodegen (54) + WholeStageCodegen (37) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] - CometColumnarExchange [i_category] #1 - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_year,d_moy,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] - WholeStageCodegen (11) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] [sum(sumsales),s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 - WholeStageCodegen (10) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (17) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] [sum(sumsales),d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 - WholeStageCodegen (16) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (23) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] [sum(sumsales),d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 - WholeStageCodegen (22) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (29) - HashAggregate [i_category,i_class,i_brand,i_product_name,sum,isEmpty] [sum(sumsales),d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name] #9 - WholeStageCodegen (28) - HashAggregate [i_category,i_class,i_brand,i_product_name,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (35) - HashAggregate [i_category,i_class,i_brand,sum,isEmpty] [sum(sumsales),i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand] #10 - WholeStageCodegen (34) - HashAggregate [i_category,i_class,i_brand,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (41) - HashAggregate [i_category,i_class,sum,isEmpty] [sum(sumsales),i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #11 - WholeStageCodegen (40) - HashAggregate [i_category,i_class,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (47) - HashAggregate [i_category,sum,isEmpty] [sum(sumsales),i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #12 - WholeStageCodegen (46) - HashAggregate [i_category,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (53) - HashAggregate [sum,isEmpty] [sum(sumsales),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (52) - HashAggregate [sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometExchange [i_category] #1 + CometUnion [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_year,d_moy,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] + CometHashAggregate [s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] + CometHashAggregate [d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] + CometHashAggregate [d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name] #9 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,sum,isEmpty] + CometHashAggregate [d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand] #10 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,sum,isEmpty] + CometHashAggregate [i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class] #11 + CometHashAggregate [sumsales] [i_category,i_class,sum,isEmpty] + CometHashAggregate [i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category] #12 + CometHashAggregate [sumsales] [i_category,sum,isEmpty] + CometHashAggregate [i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange #13 + CometHashAggregate [sumsales] [sum,isEmpty] + CometHashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/explain.txt index 7afb402b0b..e03d7add09 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/explain.txt @@ -1,68 +1,63 @@ == Physical Plan == -TakeOrderedAndProject (64) -+- * Project (63) - +- Window (62) - +- * CometColumnarToRow (61) - +- CometSort (60) - +- CometExchange (59) - +- CometHashAggregate (58) - +- CometColumnarExchange (57) - +- * HashAggregate (56) - +- Union (55) - :- * HashAggregate (40) - : +- * CometColumnarToRow (39) - : +- CometColumnarExchange (38) - : +- * HashAggregate (37) - : +- * Project (36) - : +- * BroadcastHashJoin Inner BuildRight (35) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (34) - : +- * Project (33) - : +- * BroadcastHashJoin LeftSemi BuildRight (32) - : :- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (31) - : +- * Project (30) - : +- * Filter (29) - : +- Window (28) - : +- * Sort (27) - : +- * HashAggregate (26) - : +- * CometColumnarToRow (25) - : +- CometColumnarExchange (24) - : +- * HashAggregate (23) - : +- * Project (22) - : +- * BroadcastHashJoin Inner BuildRight (21) - : :- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Filter (12) - : : : +- * ColumnarToRow (11) - : : : +- Scan parquet spark_catalog.default.store_sales (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : +- ReusedExchange (20) - :- * HashAggregate (47) - : +- * CometColumnarToRow (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * HashAggregate (43) - : +- * CometColumnarToRow (42) - : +- ReusedExchange (41) - +- * HashAggregate (54) - +- * CometColumnarToRow (53) - +- CometColumnarExchange (52) - +- * HashAggregate (51) - +- * HashAggregate (50) - +- * CometColumnarToRow (49) - +- ReusedExchange (48) +TakeOrderedAndProject (59) ++- * Project (58) + +- Window (57) + +- * CometColumnarToRow (56) + +- CometSort (55) + +- CometExchange (54) + +- CometHashAggregate (53) + +- CometExchange (52) + +- CometHashAggregate (51) + +- CometUnion (50) + :- CometHashAggregate (39) + : +- CometColumnarExchange (38) + : +- * HashAggregate (37) + : +- * Project (36) + : +- * BroadcastHashJoin Inner BuildRight (35) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (34) + : +- * Project (33) + : +- * BroadcastHashJoin LeftSemi BuildRight (32) + : :- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (31) + : +- * Project (30) + : +- * Filter (29) + : +- Window (28) + : +- * CometColumnarToRow (27) + : +- CometSort (26) + : +- CometHashAggregate (25) + : +- CometColumnarExchange (24) + : +- * HashAggregate (23) + : +- * Project (22) + : +- * BroadcastHashJoin Inner BuildRight (21) + : :- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Filter (12) + : : : +- * ColumnarToRow (11) + : : : +- Scan parquet spark_catalog.default.store_sales (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : +- ReusedExchange (20) + :- CometHashAggregate (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometHashAggregate (41) + : +- ReusedExchange (40) + +- CometHashAggregate (49) + +- CometExchange (48) + +- CometHashAggregate (47) + +- CometHashAggregate (46) + +- ReusedExchange (45) (1) Scan parquet spark_catalog.default.store_sales @@ -80,7 +75,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 69] +(4) ReusedExchange [Reuses operator id: 64] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -154,7 +149,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14] -(20) ReusedExchange [Reuses operator id: 69] +(20) ReusedExchange [Reuses operator id: 64] Output [1]: [d_date_sk#15] (21) BroadcastHashJoin [codegen id : 4] @@ -178,31 +173,29 @@ Results [2]: [s_state#14, sum#17] Input [2]: [s_state#14, sum#17] Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#14, sum#17] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#14, sum#17] Keys [1]: [s_state#14] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18] -Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14] -(27) Sort [codegen id : 5] -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14, _w0#18, s_state#14], [s_state#14 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#14, _w0#18, s_state#14] (28) Window -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST] +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [rank(_w0#18) windowspecdefinition(s_state#14, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#14], [_w0#18 DESC NULLS LAST] (29) Filter [codegen id : 6] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] -Condition : (ranking#20 <= 5) +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] +Condition : (ranking#19 <= 5) (30) Project [codegen id : 6] Output [1]: [s_state#14] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] (31) BroadcastExchange Input [1]: [s_state#14] @@ -215,11 +208,11 @@ Join type: LeftSemi Join condition: None (33) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#21] +Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#20] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (34) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#21] +Input [3]: [s_store_sk#6, s_county#7, s_state#20] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (35) BroadcastHashJoin [codegen id : 8] @@ -229,168 +222,140 @@ Join type: Inner Join condition: None (36) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_county#7, s_state#21] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21] +Output [3]: [ss_net_profit#2, s_county#7, s_state#20] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#20] (37) HashAggregate [codegen id : 8] -Input [3]: [ss_net_profit#2, s_county#7, s_state#21] -Keys [2]: [s_state#21, s_county#7] +Input [3]: [ss_net_profit#2, s_county#7, s_state#20] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#22] -Results [3]: [s_state#21, s_county#7, sum#23] +Aggregate Attributes [1]: [sum#21] +Results [3]: [s_state#20, s_county#7, sum#22] (38) CometColumnarExchange -Input [3]: [s_state#21, s_county#7, sum#23] -Arguments: hashpartitioning(s_state#21, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(39) CometColumnarToRow [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] +Input [3]: [s_state#20, s_county#7, sum#22] +Arguments: hashpartitioning(s_state#20, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(40) HashAggregate [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] -Keys [2]: [s_state#21, s_county#7] +(39) CometHashAggregate +Input [3]: [s_state#20, s_county#7, sum#22] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#7 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(41) ReusedExchange [Reuses operator id: 38] -Output [3]: [s_state#21, s_county#31, sum#32] - -(42) CometColumnarToRow [codegen id : 18] -Input [3]: [s_state#21, s_county#31, sum#32] - -(43) HashAggregate [codegen id : 18] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] - -(44) HashAggregate [codegen id : 18] -Input [2]: [total_sum#34, s_state#21] -Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] - -(45) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(46) CometColumnarToRow [codegen id : 19] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(47) HashAggregate [codegen id : 19] -Input [3]: [s_state#21, sum#37, isEmpty#38] -Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(48) ReusedExchange [Reuses operator id: 38] -Output [3]: [s_state#21, s_county#45, sum#46] - -(49) CometColumnarToRow [codegen id : 28] -Input [3]: [s_state#21, s_county#45, sum#46] - -(50) HashAggregate [codegen id : 28] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#34] - -(51) HashAggregate [codegen id : 28] -Input [1]: [total_sum#34] -Keys: [] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#48, isEmpty#49] -Results [2]: [sum#50, isEmpty#51] -(52) CometColumnarExchange -Input [2]: [sum#50, isEmpty#51] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(40) ReusedExchange [Reuses operator id: 38] +Output [3]: [s_state#20, s_county#23, sum#24] + +(41) CometHashAggregate +Input [3]: [s_state#20, s_county#23, sum#24] +Keys [2]: [s_state#20, s_county#23] +Functions [1]: [sum(UnscaledValue(ss_net_profit#25))] + +(42) CometHashAggregate +Input [2]: [total_sum#26, s_state#20] +Keys [1]: [s_state#20] +Functions [1]: [partial_sum(total_sum#26)] + +(43) CometExchange +Input [3]: [s_state#20, sum#27, isEmpty#28] +Arguments: hashpartitioning(s_state#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(44) CometHashAggregate +Input [3]: [s_state#20, sum#27, isEmpty#28] +Keys [1]: [s_state#20] +Functions [1]: [sum(total_sum#26)] + +(45) ReusedExchange [Reuses operator id: 38] +Output [3]: [s_state#20, s_county#29, sum#30] + +(46) CometHashAggregate +Input [3]: [s_state#20, s_county#29, sum#30] +Keys [2]: [s_state#20, s_county#29] +Functions [1]: [sum(UnscaledValue(ss_net_profit#31))] + +(47) CometHashAggregate +Input [1]: [total_sum#26] +Keys: [] +Functions [1]: [partial_sum(total_sum#26)] -(53) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#50, isEmpty#51] +(48) CometExchange +Input [2]: [sum#32, isEmpty#33] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(54) HashAggregate [codegen id : 29] -Input [2]: [sum#50, isEmpty#51] +(49) CometHashAggregate +Input [2]: [sum#32, isEmpty#33] Keys: [] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#52] -Results [6]: [sum(total_sum#34)#52 AS total_sum#53, null AS s_state#54, null AS s_county#55, 1 AS g_state#56, 1 AS g_county#57, 2 AS lochierarchy#58] +Functions [1]: [sum(total_sum#26)] -(55) Union +(50) CometUnion +Child 0 Input [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] +Child 1 Input [6]: [total_sum#40, s_state#20, s_county#41, g_state#42, g_county#43, lochierarchy#44] +Child 2 Input [6]: [total_sum#45, s_state#46, s_county#47, g_state#48, g_county#49, lochierarchy#50] -(56) HashAggregate [codegen id : 30] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(51) CometHashAggregate +Input [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] +Keys [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(57) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(52) CometExchange +Input [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] +Arguments: hashpartitioning(total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(58) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(53) CometHashAggregate +Input [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] +Keys [6]: [total_sum#34, s_state#35, s_county#36, g_state#37, g_county#38, lochierarchy#39] Functions: [] -(59) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: hashpartitioning(lochierarchy#30, _w0#59, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +(54) CometExchange +Input [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51] +Arguments: hashpartitioning(lochierarchy#39, _w0#51, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(60) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59], [lochierarchy#30 ASC NULLS FIRST, _w0#59 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(55) CometSort +Input [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51] +Arguments: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51], [lochierarchy#39 ASC NULLS FIRST, _w0#51 ASC NULLS FIRST, total_sum#34 DESC NULLS LAST] -(61) CometColumnarToRow [codegen id : 31] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] +(56) CometColumnarToRow [codegen id : 25] +Input [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51] -(62) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#59, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#60], [lochierarchy#30, _w0#59], [total_sum#25 DESC NULLS LAST] +(57) Window +Input [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51] +Arguments: [rank(total_sum#34) windowspecdefinition(lochierarchy#39, _w0#51, total_sum#34 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#52], [lochierarchy#39, _w0#51], [total_sum#34 DESC NULLS LAST] -(63) Project [codegen id : 32] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59, rank_within_parent#60] +(58) Project [codegen id : 26] +Output [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, rank_within_parent#52] +Input [6]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, _w0#51, rank_within_parent#52] -(64) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#60 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] +(59) TakeOrderedAndProject +Input [5]: [total_sum#34, s_state#35, s_county#36, lochierarchy#39, rank_within_parent#52] +Arguments: 100, [lochierarchy#39 DESC NULLS LAST, CASE WHEN (lochierarchy#39 = 0) THEN s_state#35 END ASC NULLS FIRST, rank_within_parent#52 ASC NULLS FIRST], [total_sum#34, s_state#35, s_county#36, lochierarchy#39, rank_within_parent#52] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (69) -+- * CometColumnarToRow (68) - +- CometProject (67) - +- CometFilter (66) - +- CometNativeScan parquet spark_catalog.default.date_dim (65) +BroadcastExchange (64) ++- * CometColumnarToRow (63) + +- CometProject (62) + +- CometFilter (61) + +- CometNativeScan parquet spark_catalog.default.date_dim (60) -(65) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#61] +(60) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#53] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(66) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#61] -Condition : (((isnotnull(d_month_seq#61) AND (d_month_seq#61 >= 1212)) AND (d_month_seq#61 <= 1223)) AND isnotnull(d_date_sk#5)) +(61) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#53] +Condition : (((isnotnull(d_month_seq#53) AND (d_month_seq#53 >= 1212)) AND (d_month_seq#53 <= 1223)) AND isnotnull(d_date_sk#5)) -(67) CometProject -Input [2]: [d_date_sk#5, d_month_seq#61] +(62) CometProject +Input [2]: [d_date_sk#5, d_month_seq#53] Arguments: [d_date_sk#5], [d_date_sk#5] -(68) CometColumnarToRow [codegen id : 1] +(63) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(69) BroadcastExchange +(64) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/extended.txt index 1a13c28a4f..8843d60146 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/extended.txt @@ -5,181 +5,176 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- Sort - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- Sort - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 54 out of 153 eligible operators (35%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 69 out of 153 eligible operators (45%). Final plan contains 25 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/simplified.txt index dcbf0ae4c8..8b50beb809 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_datafusion/simplified.txt @@ -1,106 +1,89 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (32) + WholeStageCodegen (26) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (31) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (30) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (9) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #7 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (19) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #9 - WholeStageCodegen (18) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (29) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (28) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + BroadcastExchange #6 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #7 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #9 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #10 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/explain.txt index 02cdbb3c66..53d24a01f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/explain.txt @@ -1,69 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (65) -+- * Project (64) - +- Window (63) - +- * CometColumnarToRow (62) - +- CometSort (61) - +- CometExchange (60) - +- CometHashAggregate (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- Union (56) - :- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- CometColumnarExchange (39) - : +- * HashAggregate (38) - : +- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (35) - : +- * Project (34) - : +- * BroadcastHashJoin LeftSemi BuildRight (33) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (32) - : +- * Project (31) - : +- * Filter (30) - : +- Window (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- CometColumnarExchange (46) - : +- * HashAggregate (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- ReusedExchange (42) - +- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- * HashAggregate (51) - +- * CometColumnarToRow (50) - +- ReusedExchange (49) +TakeOrderedAndProject (60) ++- * Project (59) + +- Window (58) + +- * CometColumnarToRow (57) + +- CometSort (56) + +- CometExchange (55) + +- CometHashAggregate (54) + +- CometExchange (53) + +- CometHashAggregate (52) + +- CometUnion (51) + :- CometHashAggregate (40) + : +- CometColumnarExchange (39) + : +- * HashAggregate (38) + : +- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (35) + : +- * Project (34) + : +- * BroadcastHashJoin LeftSemi BuildRight (33) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (32) + : +- * Project (31) + : +- * Filter (30) + : +- Window (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (45) + : +- CometExchange (44) + : +- CometHashAggregate (43) + : +- CometHashAggregate (42) + : +- ReusedExchange (41) + +- CometHashAggregate (50) + +- CometExchange (49) + +- CometHashAggregate (48) + +- CometHashAggregate (47) + +- ReusedExchange (46) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -247,154 +242,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(40) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(41) HashAggregate [codegen id : 5] +(40) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(42) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#31, sum#32] -(43) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] +(41) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#21, s_county#24, sum#25] -(44) HashAggregate [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] +(42) CometHashAggregate +Input [3]: [s_state#21, s_county#24, sum#25] +Keys [2]: [s_state#21, s_county#24] +Functions [1]: [sum(UnscaledValue(ss_net_profit#26))] -(45) HashAggregate [codegen id : 10] -Input [2]: [total_sum#34, s_state#21] +(43) CometHashAggregate +Input [2]: [total_sum#27, s_state#21] Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] +Functions [1]: [partial_sum(total_sum#27)] -(46) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(44) CometExchange +Input [3]: [s_state#21, sum#28, isEmpty#29] +Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(47) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(48) HashAggregate [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] +(45) CometHashAggregate +Input [3]: [s_state#21, sum#28, isEmpty#29] Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(49) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#45, sum#46] +Functions [1]: [sum(total_sum#27)] -(50) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] +(46) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#21, s_county#30, sum#31] -(51) HashAggregate [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#34] +(47) CometHashAggregate +Input [3]: [s_state#21, s_county#30, sum#31] +Keys [2]: [s_state#21, s_county#30] +Functions [1]: [sum(UnscaledValue(ss_net_profit#32))] -(52) HashAggregate [codegen id : 16] -Input [1]: [total_sum#34] +(48) CometHashAggregate +Input [1]: [total_sum#27] Keys: [] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#48, isEmpty#49] -Results [2]: [sum#50, isEmpty#51] - -(53) CometColumnarExchange -Input [2]: [sum#50, isEmpty#51] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#27)] -(54) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#50, isEmpty#51] +(49) CometExchange +Input [2]: [sum#33, isEmpty#34] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(55) HashAggregate [codegen id : 17] -Input [2]: [sum#50, isEmpty#51] +(50) CometHashAggregate +Input [2]: [sum#33, isEmpty#34] Keys: [] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#52] -Results [6]: [sum(total_sum#34)#52 AS total_sum#53, null AS s_state#54, null AS s_county#55, 1 AS g_state#56, 1 AS g_county#57, 2 AS lochierarchy#58] +Functions [1]: [sum(total_sum#27)] -(56) Union +(51) CometUnion +Child 0 Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Child 1 Input [6]: [total_sum#41, s_state#21, s_county#42, g_state#43, g_county#44, lochierarchy#45] +Child 2 Input [6]: [total_sum#46, s_state#47, s_county#48, g_state#49, g_county#50, lochierarchy#51] -(57) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(52) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(58) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(53) CometExchange +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Arguments: hashpartitioning(total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(59) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(54) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -(60) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: hashpartitioning(lochierarchy#30, _w0#59, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(55) CometExchange +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: hashpartitioning(lochierarchy#40, _w0#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(61) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59], [lochierarchy#30 ASC NULLS FIRST, _w0#59 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(56) CometSort +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52], [lochierarchy#40 ASC NULLS FIRST, _w0#52 ASC NULLS FIRST, total_sum#35 DESC NULLS LAST] -(62) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] +(57) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] -(63) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#59, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#60], [lochierarchy#30, _w0#59], [total_sum#25 DESC NULLS LAST] +(58) Window +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [rank(total_sum#35) windowspecdefinition(lochierarchy#40, _w0#52, total_sum#35 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#53], [lochierarchy#40, _w0#52], [total_sum#35 DESC NULLS LAST] -(64) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59, rank_within_parent#60] +(59) Project [codegen id : 14] +Output [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Input [6]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52, rank_within_parent#53] -(65) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#60 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] +(60) TakeOrderedAndProject +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Arguments: 100, [lochierarchy#40 DESC NULLS LAST, CASE WHEN (lochierarchy#40 = 0) THEN s_state#36 END ASC NULLS FIRST, rank_within_parent#53 ASC NULLS FIRST], [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (70) -+- * CometColumnarToRow (69) - +- CometProject (68) - +- CometFilter (67) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (66) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (61) -(66) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(61) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(67) CometFilter +(62) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(68) CometProject +(63) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(69) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(70) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/extended.txt index a677fed73a..efd8cc9cc8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/extended.txt @@ -5,169 +5,164 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 153 eligible operators (66%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 153 eligible operators (72%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/simplified.txt index 8de8b7e637..3161837dc7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a.native_iceberg_compat/simplified.txt @@ -1,100 +1,83 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + Window [_w0,s_state] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/explain.txt index 02cdbb3c66..53d24a01f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/explain.txt @@ -1,69 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (65) -+- * Project (64) - +- Window (63) - +- * CometColumnarToRow (62) - +- CometSort (61) - +- CometExchange (60) - +- CometHashAggregate (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- Union (56) - :- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- CometColumnarExchange (39) - : +- * HashAggregate (38) - : +- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (35) - : +- * Project (34) - : +- * BroadcastHashJoin LeftSemi BuildRight (33) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (32) - : +- * Project (31) - : +- * Filter (30) - : +- Window (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- CometColumnarExchange (46) - : +- * HashAggregate (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- ReusedExchange (42) - +- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- * HashAggregate (51) - +- * CometColumnarToRow (50) - +- ReusedExchange (49) +TakeOrderedAndProject (60) ++- * Project (59) + +- Window (58) + +- * CometColumnarToRow (57) + +- CometSort (56) + +- CometExchange (55) + +- CometHashAggregate (54) + +- CometExchange (53) + +- CometHashAggregate (52) + +- CometUnion (51) + :- CometHashAggregate (40) + : +- CometColumnarExchange (39) + : +- * HashAggregate (38) + : +- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (35) + : +- * Project (34) + : +- * BroadcastHashJoin LeftSemi BuildRight (33) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (32) + : +- * Project (31) + : +- * Filter (30) + : +- Window (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (45) + : +- CometExchange (44) + : +- CometHashAggregate (43) + : +- CometHashAggregate (42) + : +- ReusedExchange (41) + +- CometHashAggregate (50) + +- CometExchange (49) + +- CometHashAggregate (48) + +- CometHashAggregate (47) + +- ReusedExchange (46) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -247,154 +242,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(40) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(41) HashAggregate [codegen id : 5] +(40) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(42) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#31, sum#32] -(43) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] +(41) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#21, s_county#24, sum#25] -(44) HashAggregate [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] +(42) CometHashAggregate +Input [3]: [s_state#21, s_county#24, sum#25] +Keys [2]: [s_state#21, s_county#24] +Functions [1]: [sum(UnscaledValue(ss_net_profit#26))] -(45) HashAggregate [codegen id : 10] -Input [2]: [total_sum#34, s_state#21] +(43) CometHashAggregate +Input [2]: [total_sum#27, s_state#21] Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] +Functions [1]: [partial_sum(total_sum#27)] -(46) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(44) CometExchange +Input [3]: [s_state#21, sum#28, isEmpty#29] +Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(47) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(48) HashAggregate [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] +(45) CometHashAggregate +Input [3]: [s_state#21, sum#28, isEmpty#29] Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(49) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#45, sum#46] +Functions [1]: [sum(total_sum#27)] -(50) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] +(46) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#21, s_county#30, sum#31] -(51) HashAggregate [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#34] +(47) CometHashAggregate +Input [3]: [s_state#21, s_county#30, sum#31] +Keys [2]: [s_state#21, s_county#30] +Functions [1]: [sum(UnscaledValue(ss_net_profit#32))] -(52) HashAggregate [codegen id : 16] -Input [1]: [total_sum#34] +(48) CometHashAggregate +Input [1]: [total_sum#27] Keys: [] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#48, isEmpty#49] -Results [2]: [sum#50, isEmpty#51] - -(53) CometColumnarExchange -Input [2]: [sum#50, isEmpty#51] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#27)] -(54) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#50, isEmpty#51] +(49) CometExchange +Input [2]: [sum#33, isEmpty#34] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(55) HashAggregate [codegen id : 17] -Input [2]: [sum#50, isEmpty#51] +(50) CometHashAggregate +Input [2]: [sum#33, isEmpty#34] Keys: [] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#52] -Results [6]: [sum(total_sum#34)#52 AS total_sum#53, null AS s_state#54, null AS s_county#55, 1 AS g_state#56, 1 AS g_county#57, 2 AS lochierarchy#58] +Functions [1]: [sum(total_sum#27)] -(56) Union +(51) CometUnion +Child 0 Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Child 1 Input [6]: [total_sum#41, s_state#21, s_county#42, g_state#43, g_county#44, lochierarchy#45] +Child 2 Input [6]: [total_sum#46, s_state#47, s_county#48, g_state#49, g_county#50, lochierarchy#51] -(57) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(52) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(58) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(53) CometExchange +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Arguments: hashpartitioning(total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(59) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(54) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -(60) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: hashpartitioning(lochierarchy#30, _w0#59, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(55) CometExchange +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: hashpartitioning(lochierarchy#40, _w0#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(61) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59], [lochierarchy#30 ASC NULLS FIRST, _w0#59 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(56) CometSort +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52], [lochierarchy#40 ASC NULLS FIRST, _w0#52 ASC NULLS FIRST, total_sum#35 DESC NULLS LAST] -(62) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] +(57) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] -(63) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#59, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#60], [lochierarchy#30, _w0#59], [total_sum#25 DESC NULLS LAST] +(58) Window +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [rank(total_sum#35) windowspecdefinition(lochierarchy#40, _w0#52, total_sum#35 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#53], [lochierarchy#40, _w0#52], [total_sum#35 DESC NULLS LAST] -(64) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#59, rank_within_parent#60] +(59) Project [codegen id : 14] +Output [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Input [6]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52, rank_within_parent#53] -(65) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#60 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#60] +(60) TakeOrderedAndProject +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Arguments: 100, [lochierarchy#40 DESC NULLS LAST, CASE WHEN (lochierarchy#40 = 0) THEN s_state#36 END ASC NULLS FIRST, rank_within_parent#53 ASC NULLS FIRST], [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (70) -+- * CometColumnarToRow (69) - +- CometProject (68) - +- CometFilter (67) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (66) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (61) -(66) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(61) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(67) CometFilter +(62) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(68) CometProject +(63) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(69) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(70) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/extended.txt index a677fed73a..efd8cc9cc8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/extended.txt @@ -5,169 +5,164 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 153 eligible operators (66%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 153 eligible operators (72%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/simplified.txt index 8de8b7e637..3161837dc7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q70a/simplified.txt @@ -1,100 +1,83 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + Window [_w0,s_state] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/explain.txt index 5d2bcfdc5c..01c17ccd3d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#19, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#21, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#22, 30, true, false, true) AS c_last_name#7] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#7] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_customer_sk#23) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_customer_sk#22) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#23] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#22] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25] -Input [7]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#27, d_year#28] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24] +Input [7]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#25] -Right keys [1]: [d_date_sk#27] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#26, d_year#27] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25, d_date_sk#27, d_year#28] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum#29] -Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#24))#16] -Results [4]: [c_customer_id#5 AS customer_id#31, c_first_name#6 AS customer_first_name#32, c_last_name#7 AS customer_last_name#33, MakeDecimal(sum(UnscaledValue(ss_net_paid#24))#16,17,2) AS year_total#34] - -(36) BroadcastExchange -Input [4]: [customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#31] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#26] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24, d_date_sk#26, d_year#27] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#23))] +Aggregate Attributes [1]: [sum#28] +Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [sum(UnscaledValue(ss_net_paid#23))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#16], [customer_id#30], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Condition : (isnotnull(c_customer_sk#35) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true))) +(37) CometFilter +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Condition : (isnotnull(c_customer_sk#34) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true))) -(40) CometProject -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Arguments: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#37, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#38, 30, true, false, true) AS c_last_name#41] +(38) CometProject +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Arguments: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#40] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#42) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#41) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#35] -Right keys [1]: [ws_bill_customer_sk#42] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#34] +Right keys [1]: [ws_bill_customer_sk#41] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44] -Input [7]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43] +Input [7]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#45, d_year#46] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#44, d_year#45] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#44] -Right keys [1]: [d_date_sk#45] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44, d_date_sk#45, d_year#46] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum#47] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#43))#49] -Results [2]: [c_customer_id#39 AS customer_id#50, MakeDecimal(sum(UnscaledValue(ws_net_paid#43))#49,17,2) AS year_total#51] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#50, year_total#51] -Condition : (isnotnull(year_total#51) AND (year_total#51 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#50, year_total#51] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#50] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51] -Input [8]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, customer_id#50, year_total#51] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43, d_date_sk#44, d_year#45] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#42))] +Aggregate Attributes [1]: [sum#46] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [sum(UnscaledValue(ws_net_paid#42))] + +(52) CometFilter +Input [2]: [customer_id#48, year_total#49] +Condition : (isnotnull(year_total#49) AND (year_total#49 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#48, year_total#49] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Right output [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#16], [customer_id#48], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, customer_id#48, year_total#49] +Arguments: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49], [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Condition : (isnotnull(c_customer_sk#52) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true))) +(57) CometFilter +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Condition : (isnotnull(c_customer_sk#50) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true))) -(61) CometProject -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Arguments: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#54, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#55, 30, true, false, true) AS c_last_name#41] +(58) CometProject +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Arguments: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#50, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#52, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#53, 30, true, false, true) AS c_last_name#40] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#58), dynamicpruningexpression(ws_sold_date_sk#58 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ws_sold_date_sk#56), dynamicpruningexpression(ws_sold_date_sk#56 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Condition : isnotnull(ws_bill_customer_sk#56) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Condition : isnotnull(ws_bill_customer_sk#54) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#52] -Right keys [1]: [ws_bill_customer_sk#56] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#50] +Right keys [1]: [ws_bill_customer_sk#54] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58] -Input [7]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56] +Input [7]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#59, d_year#60] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#57, d_year#58] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#58] -Right keys [1]: [d_date_sk#59] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#56] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58, d_date_sk#59, d_year#60] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum#61] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#57))#49] -Results [2]: [c_customer_id#39 AS customer_id#63, MakeDecimal(sum(UnscaledValue(ws_net_paid#57))#49,17,2) AS year_total#64] - -(76) BroadcastExchange -Input [2]: [customer_id#63, year_total#64] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#63] -Join type: Inner -Join condition: (CASE WHEN (year_total#51 > 0.00) THEN (year_total#64 / year_total#51) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#34 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56, d_date_sk#57, d_year#58] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#55))] +Aggregate Attributes [1]: [sum#59] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [sum(UnscaledValue(ws_net_paid#55))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Input [9]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51, customer_id#63, year_total#64] +(72) CometBroadcastExchange +Input [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#61, year_total#62] -(79) TakeOrderedAndProject -Input [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Arguments: 100, [customer_first_name#32 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST, customer_last_name#33 ASC NULLS FIRST], [customer_id#31, customer_first_name#32, customer_last_name#33] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] +Right output [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#16], [customer_id#61], Inner, (CASE WHEN (year_total#49 > 0.00) THEN (year_total#62 / year_total#49) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#33 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49, customer_id#61, year_total#62] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_first_name#31 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST,customer_last_name#32 ASC NULLS FIRST], output=[customer_id#30,customer_first_name#31,customer_last_name#32]), [customer_id#30, customer_first_name#31, customer_last_name#32], 100, 0, [customer_first_name#31 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST, customer_last_name#32 ASC NULLS FIRST], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#26 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#25 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#27, d_year#28] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#27, d_year#28] -Condition : (((isnotnull(d_year#28) AND (d_year#28 = 2002)) AND d_year#28 IN (2001,2002)) AND isnotnull(d_date_sk#27)) +(82) CometFilter +Input [2]: [d_date_sk#26, d_year#27] +Condition : (((isnotnull(d_year#27) AND (d_year#27 = 2002)) AND d_year#27 IN (2001,2002)) AND isnotnull(d_date_sk#26)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#27, d_year#28] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#26, d_year#27] -(87) BroadcastExchange -Input [2]: [d_date_sk#27, d_year#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#26, d_year#27] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#58 IN dynamicpruning#26 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#56 IN dynamicpruning#25 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/simplified.txt index 9a8a029e1b..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/explain.txt index 8c28d58ce5..0d0e24e554 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/explain.txt @@ -1,114 +1,107 @@ == Physical Plan == -* CometColumnarToRow (110) -+- CometTakeOrderedAndProject (109) - +- CometHashAggregate (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- Union (105) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- Union (86) - : :- * Project (32) - : : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : : :- * HashAggregate (16) - : : : +- * CometColumnarToRow (15) - : : : +- CometColumnarExchange (14) - : : : +- * HashAggregate (13) - : : : +- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : +- BroadcastExchange (30) - : : +- * HashAggregate (29) - : : +- * CometColumnarToRow (28) - : : +- CometColumnarExchange (27) - : : +- * HashAggregate (26) - : : +- * Project (25) - : : +- * BroadcastHashJoin Inner BuildRight (24) - : : :- * Project (22) - : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : :- * Filter (19) - : : : : +- * ColumnarToRow (18) - : : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (20) - : : +- ReusedExchange (23) - : :- * Project (53) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : : :- BroadcastExchange (42) - : : : +- * HashAggregate (41) - : : : +- * CometColumnarToRow (40) - : : : +- CometColumnarExchange (39) - : : : +- * HashAggregate (38) - : : : +- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * ColumnarToRow (34) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : : +- ReusedExchange (35) - : : +- * HashAggregate (51) - : : +- * CometColumnarToRow (50) - : : +- CometColumnarExchange (49) - : : +- * HashAggregate (48) - : : +- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * ColumnarToRow (44) - : : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : : +- ReusedExchange (45) - : +- * Project (85) - : +- * BroadcastHashJoin LeftOuter BuildRight (84) - : :- * HashAggregate (69) - : : +- * CometColumnarToRow (68) - : : +- CometColumnarExchange (67) - : : +- * HashAggregate (66) - : : +- * Project (65) - : : +- * BroadcastHashJoin Inner BuildRight (64) - : : :- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildRight (58) - : : : :- * Filter (56) - : : : : +- * ColumnarToRow (55) - : : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : : +- ReusedExchange (57) - : : +- BroadcastExchange (63) - : : +- * CometColumnarToRow (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.web_page (60) - : +- BroadcastExchange (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- CometColumnarExchange (80) - : +- * HashAggregate (79) - : +- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * Project (75) - : : +- * BroadcastHashJoin Inner BuildRight (74) - : : :- * Filter (72) - : : : +- * ColumnarToRow (71) - : : : +- Scan parquet spark_catalog.default.web_returns (70) - : : +- ReusedExchange (73) - : +- ReusedExchange (76) - :- * HashAggregate (97) - : +- * CometColumnarToRow (96) - : +- CometColumnarExchange (95) - : +- * HashAggregate (94) - : +- * HashAggregate (93) - : +- * CometColumnarToRow (92) - : +- ReusedExchange (91) - +- * HashAggregate (104) - +- * CometColumnarToRow (103) - +- CometColumnarExchange (102) - +- * HashAggregate (101) - +- * HashAggregate (100) - +- * CometColumnarToRow (99) - +- ReusedExchange (98) +* CometColumnarToRow (103) ++- CometTakeOrderedAndProject (102) + +- CometHashAggregate (101) + +- CometExchange (100) + +- CometHashAggregate (99) + +- CometUnion (98) + :- CometHashAggregate (87) + : +- CometColumnarExchange (86) + : +- * HashAggregate (85) + : +- Union (84) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (15) + : : : +- CometColumnarExchange (14) + : : : +- * HashAggregate (13) + : : : +- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (10) + : : : +- * CometColumnarToRow (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (21) + : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : :- * Filter (18) + : : : : +- * ColumnarToRow (17) + : : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (52) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : : :- BroadcastExchange (41) + : : : +- * CometColumnarToRow (40) + : : : +- CometHashAggregate (39) + : : : +- CometColumnarExchange (38) + : : : +- * HashAggregate (37) + : : : +- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * ColumnarToRow (33) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (34) + : : +- * CometColumnarToRow (50) + : : +- CometHashAggregate (49) + : : +- CometColumnarExchange (48) + : : +- * HashAggregate (47) + : : +- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * ColumnarToRow (43) + : : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : : +- ReusedExchange (44) + : +- * CometColumnarToRow (83) + : +- CometProject (82) + : +- CometBroadcastHashJoin (81) + : :- CometHashAggregate (67) + : : +- CometColumnarExchange (66) + : : +- * HashAggregate (65) + : : +- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : : +- ReusedExchange (56) + : : +- BroadcastExchange (62) + : : +- * CometColumnarToRow (61) + : : +- CometFilter (60) + : : +- CometNativeScan parquet spark_catalog.default.web_page (59) + : +- CometBroadcastExchange (80) + : +- CometHashAggregate (79) + : +- CometColumnarExchange (78) + : +- * HashAggregate (77) + : +- * Project (76) + : +- * BroadcastHashJoin Inner BuildRight (75) + : :- * Project (73) + : : +- * BroadcastHashJoin Inner BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.web_returns (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (74) + :- CometHashAggregate (92) + : +- CometExchange (91) + : +- CometHashAggregate (90) + : +- CometHashAggregate (89) + : +- ReusedExchange (88) + +- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +119,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 115] +(4) ReusedExchange [Reuses operator id: 108] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -178,501 +171,453 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] -(32) Project [codegen id : 8] -Output [5]: [store channel AS channel#30, s_store_sk#7 AS id#31, sales#14, coalesce(returns#28, 0.00) AS returns#32, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [channel#26, id#27, sales#24, returns#28, profit#29], [store channel AS channel#26, s_store_sk#7 AS id#27, sales#24, coalesce(returns#22, 0.00) AS returns#28, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#29] + +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] + +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [catalog channel AS channel#59, cs_call_center_sk#34 AS id#60, sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [catalog channel AS channel#51, cs_call_center_sk#30 AS id#52, sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] - -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None - -(85) Project [codegen id : 22] -Output [5]: [web channel AS channel#90, wp_web_page_sk#67 AS id#91, sales#74, coalesce(returns#88, 0.00) AS returns#92, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] - -(86) Union - -(87) HashAggregate [codegen id : 23] -Input [5]: [channel#30, id#31, sales#14, returns#32, profit#33] -Keys [2]: [channel#30, id#31] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#32), partial_sum(profit#33)] -Aggregate Attributes [6]: [sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99] -Results [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(88) CometColumnarExchange -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Arguments: hashpartitioning(channel#30, id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(89) CometColumnarToRow [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(90) HashAggregate [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [5]: [channel#30, id#31, cast(sum(sales#14)#106 as decimal(37,2)) AS sales#109, cast(sum(returns#32)#107 as decimal(37,2)) AS returns#110, cast(sum(profit#33)#108 as decimal(38,2)) AS profit#111] - -(91) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(92) CometColumnarToRow [codegen id : 48] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(93) HashAggregate [codegen id : 48] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [4]: [channel#30, sum(sales#14)#106 AS sales#112, sum(returns#32)#107 AS returns#113, sum(profit#33)#108 AS profit#114] - -(94) HashAggregate [codegen id : 48] -Input [4]: [channel#30, sales#112, returns#113, profit#114] -Keys [1]: [channel#30] -Functions [3]: [partial_sum(sales#112), partial_sum(returns#113), partial_sum(profit#114)] -Aggregate Attributes [6]: [sum#115, isEmpty#116, sum#117, isEmpty#118, sum#119, isEmpty#120] -Results [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] - -(95) CometColumnarExchange -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] -Arguments: hashpartitioning(channel#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(96) CometColumnarToRow [codegen id : 49] -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] - -(97) HashAggregate [codegen id : 49] -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] -Keys [1]: [channel#30] -Functions [3]: [sum(sales#112), sum(returns#113), sum(profit#114)] -Aggregate Attributes [3]: [sum(sales#112)#127, sum(returns#113)#128, sum(profit#114)#129] -Results [5]: [channel#30, null AS id#130, sum(sales#112)#127 AS sales#131, sum(returns#113)#128 AS returns#132, sum(profit#114)#129 AS profit#133] - -(98) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(99) CometColumnarToRow [codegen id : 73] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(100) HashAggregate [codegen id : 73] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [3]: [sum(sales#14)#106 AS sales#112, sum(returns#32)#107 AS returns#113, sum(profit#33)#108 AS profit#114] - -(101) HashAggregate [codegen id : 73] -Input [3]: [sales#112, returns#113, profit#114] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] + +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] + +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight + +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [channel#78, id#79, sales#76, returns#80, profit#81], [web channel AS channel#78, wp_web_page_sk#59 AS id#79, sales#76, coalesce(returns#74, 0.00) AS returns#80, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#81] + +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#78, id#79, sales#76, returns#80, profit#81] + +(84) Union + +(85) HashAggregate [codegen id : 21] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] +Keys [2]: [channel#26, id#27] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#28), partial_sum(profit#29)] +Aggregate Attributes [6]: [sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] +Results [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(86) CometColumnarExchange +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Arguments: hashpartitioning(channel#26, id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(87) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(88) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(89) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(90) CometHashAggregate +Input [4]: [channel#26, sales#94, returns#95, profit#96] +Keys [1]: [channel#26] +Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] + +(91) CometExchange +Input [7]: [channel#26, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Arguments: hashpartitioning(channel#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] + +(92) CometHashAggregate +Input [7]: [channel#26, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Keys [1]: [channel#26] +Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] + +(93) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(94) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(95) CometHashAggregate +Input [3]: [sales#94, returns#95, profit#96] Keys: [] -Functions [3]: [partial_sum(sales#112), partial_sum(returns#113), partial_sum(profit#114)] -Aggregate Attributes [6]: [sum#134, isEmpty#135, sum#136, isEmpty#137, sum#138, isEmpty#139] -Results [6]: [sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145] - -(102) CometColumnarExchange -Input [6]: [sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -(103) CometColumnarToRow [codegen id : 74] -Input [6]: [sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145] +(96) CometExchange +Input [6]: [sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(104) HashAggregate [codegen id : 74] -Input [6]: [sum#140, isEmpty#141, sum#142, isEmpty#143, sum#144, isEmpty#145] +(97) CometHashAggregate +Input [6]: [sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] Keys: [] -Functions [3]: [sum(sales#112), sum(returns#113), sum(profit#114)] -Aggregate Attributes [3]: [sum(sales#112)#146, sum(returns#113)#147, sum(profit#114)#148] -Results [5]: [null AS channel#149, null AS id#150, sum(sales#112)#146 AS sales#151, sum(returns#113)#147 AS returns#152, sum(profit#114)#148 AS profit#153] +Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -(105) Union +(98) CometUnion +Child 0 Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] +Child 1 Input [5]: [channel#26, id#112, sales#113, returns#114, profit#115] +Child 2 Input [5]: [channel#116, id#117, sales#118, returns#119, profit#120] -(106) HashAggregate [codegen id : 75] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(99) CometHashAggregate +Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] +Keys [5]: [channel#26, id#27, sales#109, returns#110, profit#111] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -(107) CometColumnarExchange -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: hashpartitioning(channel#30, id#31, sales#109, returns#110, profit#111, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] +(100) CometExchange +Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] +Arguments: hashpartitioning(channel#26, id#27, sales#109, returns#110, profit#111, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] -(108) CometHashAggregate -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(101) CometHashAggregate +Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] +Keys [5]: [channel#26, id#27, sales#109, returns#110, profit#111] Functions: [] -(109) CometTakeOrderedAndProject -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#30 ASC NULLS FIRST,id#31 ASC NULLS FIRST], output=[channel#30,id#31,sales#109,returns#110,profit#111]), [channel#30, id#31, sales#109, returns#110, profit#111], 100, 0, [channel#30 ASC NULLS FIRST, id#31 ASC NULLS FIRST], [channel#30, id#31, sales#109, returns#110, profit#111] +(102) CometTakeOrderedAndProject +Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#26 ASC NULLS FIRST,id#27 ASC NULLS FIRST], output=[channel#26,id#27,sales#109,returns#110,profit#111]), [channel#26, id#27, sales#109, returns#110, profit#111], 100, 0, [channel#26 ASC NULLS FIRST, id#27 ASC NULLS FIRST], [channel#26, id#27, sales#109, returns#110, profit#111] -(110) CometColumnarToRow [codegen id : 76] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(103) CometColumnarToRow [codegen id : 64] +Input [5]: [channel#26, id#27, sales#109, returns#110, profit#111] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (115) -+- * CometColumnarToRow (114) - +- CometProject (113) - +- CometFilter (112) - +- CometNativeScan parquet spark_catalog.default.date_dim (111) +BroadcastExchange (108) ++- * CometColumnarToRow (107) + +- CometProject (106) + +- CometFilter (105) + +- CometNativeScan parquet spark_catalog.default.date_dim (104) -(111) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#154] +(104) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#121] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(112) CometFilter -Input [2]: [d_date_sk#6, d_date#154] -Condition : (((isnotnull(d_date#154) AND (d_date#154 >= 1998-08-04)) AND (d_date#154 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) +(105) CometFilter +Input [2]: [d_date_sk#6, d_date#121] +Condition : (((isnotnull(d_date#121) AND (d_date#121 >= 1998-08-04)) AND (d_date#121 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(113) CometProject -Input [2]: [d_date_sk#6, d_date#154] +(106) CometProject +Input [2]: [d_date_sk#6, d_date#121] Arguments: [d_date_sk#6], [d_date_sk#6] -(114) CometColumnarToRow [codegen id : 1] +(107) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(115) BroadcastExchange +(108) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=16] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/extended.txt index 81b485e6b3..62f8814212 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/extended.txt @@ -1,409 +1,398 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin - : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_page + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 113 out of 332 eligible operators (34%). Final plan contains 75 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 158 out of 332 eligible operators (47%). Final plan contains 64 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/simplified.txt index 6f40fcdddf..2b336edecc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_datafusion/simplified.txt @@ -1,180 +1,155 @@ -WholeStageCodegen (76) +WholeStageCodegen (64) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (75) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (24) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (23) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (8) - Project [s_store_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #3 - WholeStageCodegen (3) - HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,s_store_sk] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #7 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (21) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_store_sk] #3 + WholeStageCodegen (3) + HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,s_store_sk] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [s_store_sk] #5 - WholeStageCodegen (14) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] InputAdapter - CometColumnarExchange [cs_call_center_sk] #9 - WholeStageCodegen (10) - HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] - Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (13) - HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] - Project [cr_return_amount,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (22) - Project [wp_web_page_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #11 - WholeStageCodegen (17) - HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] - Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] - Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #6 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #7 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - BroadcastExchange #12 - WholeStageCodegen (16) - CometColumnarToRow - InputAdapter - CometFilter [wp_web_page_sk] - CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [s_store_sk] #5 + WholeStageCodegen (13) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometColumnarExchange [cs_call_center_sk] #9 + WholeStageCodegen (9) + HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] + Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange #10 + WholeStageCodegen (12) + HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] + Project [cr_return_amount,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometColumnarExchange [wp_web_page_sk] #11 + WholeStageCodegen (16) + HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] + Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] + Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - CometColumnarExchange [wp_web_page_sk] #14 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [wp_web_page_sk] #12 - WholeStageCodegen (49) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #15 - WholeStageCodegen (48) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (74) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #16 - WholeStageCodegen (73) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometFilter [wp_web_page_sk] + CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #13 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #14 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [wp_web_page_sk] #12 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #15 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #16 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/explain.txt index e36aaa9291..47e32cfe2a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] -(84) ReusedExchange [Reuses operator id: 81] +(83) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(86) HashAggregate [codegen id : 12] +(84) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [4]: [channel#24, sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#24, sales#94, returns#95, profit#96] +(85) CometHashAggregate +Input [4]: [channel#24, sales#88, returns#89, profit#90] Keys [1]: [channel#24] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(88) CometColumnarExchange -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(86) CometExchange +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(87) CometHashAggregate +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] Keys [1]: [channel#24] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#109, sum(returns#95)#110, sum(profit#96)#111] -Results [5]: [channel#24, null AS id#112, sum(sales#94)#109 AS sales#113, sum(returns#95)#110 AS returns#114, sum(profit#96)#111 AS profit#115] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(91) ReusedExchange [Reuses operator id: 81] +(88) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(93) HashAggregate [codegen id : 19] +(89) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [3]: [sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#94, returns#95, profit#96] +(90) CometHashAggregate +Input [3]: [sales#88, returns#89, profit#90] Keys: [] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#116, isEmpty#117, sum#118, isEmpty#119, sum#120, isEmpty#121] -Results [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] - -(95) CometColumnarExchange -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +(91) CometExchange +Input [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +(92) CometHashAggregate +Input [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] Keys: [] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#128, sum(returns#95)#129, sum(profit#96)#130] -Results [5]: [null AS channel#131, null AS id#132, sum(sales#94)#128 AS sales#133, sum(returns#95)#129 AS returns#134, sum(profit#96)#130 AS profit#135] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Child 1 Input [5]: [channel#24, id#106, sales#107, returns#108, profit#109] +Child 2 Input [5]: [channel#110, id#111, sales#112, returns#113, profit#114] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Keys [5]: [channel#24, id#25, sales#103, returns#104, profit#105] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Arguments: hashpartitioning(channel#24, id#25, sales#103, returns#104, profit#105, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Keys [5]: [channel#24, id#25, sales#103, returns#104, profit#105] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#103,returns#104,profit#105]), [channel#24, id#25, sales#103, returns#104, profit#105], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#103, returns#104, profit#105] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a.native_iceberg_compat/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/explain.txt index e36aaa9291..47e32cfe2a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] -(84) ReusedExchange [Reuses operator id: 81] +(83) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(86) HashAggregate [codegen id : 12] +(84) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [4]: [channel#24, sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#24, sales#94, returns#95, profit#96] +(85) CometHashAggregate +Input [4]: [channel#24, sales#88, returns#89, profit#90] Keys [1]: [channel#24] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(88) CometColumnarExchange -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(86) CometExchange +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(87) CometHashAggregate +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] Keys [1]: [channel#24] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#109, sum(returns#95)#110, sum(profit#96)#111] -Results [5]: [channel#24, null AS id#112, sum(sales#94)#109 AS sales#113, sum(returns#95)#110 AS returns#114, sum(profit#96)#111 AS profit#115] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(91) ReusedExchange [Reuses operator id: 81] +(88) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(93) HashAggregate [codegen id : 19] +(89) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [3]: [sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#94, returns#95, profit#96] +(90) CometHashAggregate +Input [3]: [sales#88, returns#89, profit#90] Keys: [] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#116, isEmpty#117, sum#118, isEmpty#119, sum#120, isEmpty#121] -Results [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] - -(95) CometColumnarExchange -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +(91) CometExchange +Input [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +(92) CometHashAggregate +Input [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] Keys: [] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#128, sum(returns#95)#129, sum(profit#96)#130] -Results [5]: [null AS channel#131, null AS id#132, sum(sales#94)#128 AS sales#133, sum(returns#95)#129 AS returns#134, sum(profit#96)#130 AS profit#135] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Child 1 Input [5]: [channel#24, id#106, sales#107, returns#108, profit#109] +Child 2 Input [5]: [channel#110, id#111, sales#112, returns#113, profit#114] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Keys [5]: [channel#24, id#25, sales#103, returns#104, profit#105] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Arguments: hashpartitioning(channel#24, id#25, sales#103, returns#104, profit#105, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Keys [5]: [channel#24, id#25, sales#103, returns#104, profit#105] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#103,returns#104,profit#105]), [channel#24, id#25, sales#103, returns#104, profit#105], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#103, returns#104, profit#105] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#103, returns#104, profit#105] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q77a/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/explain.txt index 358342baed..b1ebd84eed 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/explain.txt @@ -1,45 +1,40 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- Window (39) - +- * CometColumnarToRow (38) - +- CometSort (37) - +- CometExchange (36) - +- CometHashAggregate (35) - +- CometColumnarExchange (34) - +- * HashAggregate (33) - +- Union (32) - :- * HashAggregate (17) - : +- * CometColumnarToRow (16) - : +- CometColumnarExchange (15) - : +- * HashAggregate (14) - : +- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) - : +- ReusedExchange (18) - +- * HashAggregate (31) - +- * CometColumnarToRow (30) - +- CometColumnarExchange (29) - +- * HashAggregate (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- ReusedExchange (25) +TakeOrderedAndProject (36) ++- * Project (35) + +- Window (34) + +- * CometColumnarToRow (33) + +- CometSort (32) + +- CometExchange (31) + +- CometHashAggregate (30) + +- CometExchange (29) + +- CometHashAggregate (28) + +- CometUnion (27) + :- CometHashAggregate (16) + : +- CometColumnarExchange (15) + : +- * HashAggregate (14) + : +- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + :- CometHashAggregate (21) + : +- CometExchange (20) + : +- CometHashAggregate (19) + : +- CometHashAggregate (18) + : +- ReusedExchange (17) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometHashAggregate (23) + +- ReusedExchange (22) (1) Scan parquet spark_catalog.default.web_sales @@ -57,7 +52,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 41] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -113,154 +108,126 @@ Results [3]: [i_category#10, i_class#9, sum#12] Input [3]: [i_category#10, i_class#9, sum#12] Arguments: hashpartitioning(i_category#10, i_class#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [3]: [i_category#10, i_class#9, sum#12] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [3]: [i_category#10, i_class#9, sum#12] Keys [2]: [i_category#10, i_class#9] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#13] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#13,17,2) as decimal(27,2)) AS total_sum#14, i_category#10 AS i_category#15, i_class#9 AS i_class#16, 0 AS g_category#17, 0 AS g_class#18, 0 AS lochierarchy#19] - -(18) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#10, i_class#9, sum#20] -(19) CometColumnarToRow [codegen id : 8] -Input [3]: [i_category#10, i_class#9, sum#20] +(17) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#10, i_class#9, sum#13] -(20) HashAggregate [codegen id : 8] -Input [3]: [i_category#10, i_class#9, sum#20] +(18) CometHashAggregate +Input [3]: [i_category#10, i_class#9, sum#13] Keys [2]: [i_category#10, i_class#9] -Functions [1]: [sum(UnscaledValue(ws_net_paid#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#21))#13] -Results [2]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#21))#13,17,2) AS total_sum#22, i_category#10] +Functions [1]: [sum(UnscaledValue(ws_net_paid#14))] -(21) HashAggregate [codegen id : 8] -Input [2]: [total_sum#22, i_category#10] +(19) CometHashAggregate +Input [2]: [total_sum#15, i_category#10] Keys [1]: [i_category#10] -Functions [1]: [partial_sum(total_sum#22)] -Aggregate Attributes [2]: [sum#23, isEmpty#24] -Results [3]: [i_category#10, sum#25, isEmpty#26] +Functions [1]: [partial_sum(total_sum#15)] -(22) CometColumnarExchange -Input [3]: [i_category#10, sum#25, isEmpty#26] -Arguments: hashpartitioning(i_category#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(20) CometExchange +Input [3]: [i_category#10, sum#16, isEmpty#17] +Arguments: hashpartitioning(i_category#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 9] -Input [3]: [i_category#10, sum#25, isEmpty#26] - -(24) HashAggregate [codegen id : 9] -Input [3]: [i_category#10, sum#25, isEmpty#26] +(21) CometHashAggregate +Input [3]: [i_category#10, sum#16, isEmpty#17] Keys [1]: [i_category#10] -Functions [1]: [sum(total_sum#22)] -Aggregate Attributes [1]: [sum(total_sum#22)#27] -Results [6]: [sum(total_sum#22)#27 AS total_sum#28, i_category#10, null AS i_class#29, 0 AS g_category#30, 1 AS g_class#31, 1 AS lochierarchy#32] - -(25) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#10, i_class#9, sum#33] +Functions [1]: [sum(total_sum#15)] -(26) CometColumnarToRow [codegen id : 13] -Input [3]: [i_category#10, i_class#9, sum#33] +(22) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#10, i_class#9, sum#18] -(27) HashAggregate [codegen id : 13] -Input [3]: [i_category#10, i_class#9, sum#33] +(23) CometHashAggregate +Input [3]: [i_category#10, i_class#9, sum#18] Keys [2]: [i_category#10, i_class#9] -Functions [1]: [sum(UnscaledValue(ws_net_paid#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#34))#13] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#34))#13,17,2) AS total_sum#22] +Functions [1]: [sum(UnscaledValue(ws_net_paid#19))] -(28) HashAggregate [codegen id : 13] -Input [1]: [total_sum#22] +(24) CometHashAggregate +Input [1]: [total_sum#15] Keys: [] -Functions [1]: [partial_sum(total_sum#22)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [2]: [sum#37, isEmpty#38] - -(29) CometColumnarExchange -Input [2]: [sum#37, isEmpty#38] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +Functions [1]: [partial_sum(total_sum#15)] -(30) CometColumnarToRow [codegen id : 14] -Input [2]: [sum#37, isEmpty#38] +(25) CometExchange +Input [2]: [sum#20, isEmpty#21] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(31) HashAggregate [codegen id : 14] -Input [2]: [sum#37, isEmpty#38] +(26) CometHashAggregate +Input [2]: [sum#20, isEmpty#21] Keys: [] -Functions [1]: [sum(total_sum#22)] -Aggregate Attributes [1]: [sum(total_sum#22)#39] -Results [6]: [sum(total_sum#22)#39 AS total_sum#40, null AS i_category#41, null AS i_class#42, 1 AS g_category#43, 1 AS g_class#44, 2 AS lochierarchy#45] +Functions [1]: [sum(total_sum#15)] -(32) Union +(27) CometUnion +Child 0 Input [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] +Child 1 Input [6]: [total_sum#28, i_category#10, i_class#29, g_category#30, g_class#31, lochierarchy#32] +Child 2 Input [6]: [total_sum#33, i_category#34, i_class#35, g_category#36, g_class#37, lochierarchy#38] -(33) HashAggregate [codegen id : 15] -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(28) CometHashAggregate +Input [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] +Keys [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -(34) CometColumnarExchange -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Arguments: hashpartitioning(total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(29) CometExchange +Input [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] +Arguments: hashpartitioning(total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(35) CometHashAggregate -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(30) CometHashAggregate +Input [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] +Keys [6]: [total_sum#22, i_category#23, i_class#24, g_category#25, g_class#26, lochierarchy#27] Functions: [] -(36) CometExchange -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46] -Arguments: hashpartitioning(lochierarchy#19, _w0#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(31) CometExchange +Input [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39] +Arguments: hashpartitioning(lochierarchy#27, _w0#39, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(37) CometSort -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46] -Arguments: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46], [lochierarchy#19 ASC NULLS FIRST, _w0#46 ASC NULLS FIRST, total_sum#14 DESC NULLS LAST] +(32) CometSort +Input [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39] +Arguments: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39], [lochierarchy#27 ASC NULLS FIRST, _w0#39 ASC NULLS FIRST, total_sum#22 DESC NULLS LAST] -(38) CometColumnarToRow [codegen id : 16] -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46] +(33) CometColumnarToRow [codegen id : 10] +Input [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39] -(39) Window -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46] -Arguments: [rank(total_sum#14) windowspecdefinition(lochierarchy#19, _w0#46, total_sum#14 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#47], [lochierarchy#19, _w0#46], [total_sum#14 DESC NULLS LAST] +(34) Window +Input [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39] +Arguments: [rank(total_sum#22) windowspecdefinition(lochierarchy#27, _w0#39, total_sum#22 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#40], [lochierarchy#27, _w0#39], [total_sum#22 DESC NULLS LAST] -(40) Project [codegen id : 17] -Output [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#47] -Input [6]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#46, rank_within_parent#47] +(35) Project [codegen id : 11] +Output [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, rank_within_parent#40] +Input [6]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, _w0#39, rank_within_parent#40] -(41) TakeOrderedAndProject -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#47] -Arguments: 100, [lochierarchy#19 DESC NULLS LAST, CASE WHEN (lochierarchy#19 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#47 ASC NULLS FIRST], [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#47] +(36) TakeOrderedAndProject +Input [5]: [total_sum#22, i_category#23, i_class#24, lochierarchy#27, rank_within_parent#40] +Arguments: 100, [lochierarchy#27 DESC NULLS LAST, CASE WHEN (lochierarchy#27 = 0) THEN i_category#23 END ASC NULLS FIRST, rank_within_parent#40 ASC NULLS FIRST], [total_sum#22, i_category#23, i_class#24, lochierarchy#27, rank_within_parent#40] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (41) ++- * CometColumnarToRow (40) + +- CometProject (39) + +- CometFilter (38) + +- CometNativeScan parquet spark_catalog.default.date_dim (37) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#48] +(37) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#48] -Condition : (((isnotnull(d_month_seq#48) AND (d_month_seq#48 >= 1212)) AND (d_month_seq#48 <= 1223)) AND isnotnull(d_date_sk#5)) +(38) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#41] +Condition : (((isnotnull(d_month_seq#41) AND (d_month_seq#41 >= 1212)) AND (d_month_seq#41 <= 1223)) AND isnotnull(d_date_sk#5)) -(44) CometProject -Input [2]: [d_date_sk#5, d_month_seq#48] +(39) CometProject +Input [2]: [d_date_sk#5, d_month_seq#41] Arguments: [d_date_sk#5], [d_date_sk#5] -(45) CometColumnarToRow [codegen id : 1] +(40) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(46) BroadcastExchange +(41) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/extended.txt index a5b37c422c..871cd88c89 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/extended.txt @@ -5,97 +5,92 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 81 eligible operators (44%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 45 out of 81 eligible operators (55%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/simplified.txt index 2ccc8c0c39..c770397391 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q86a.native_datafusion/simplified.txt @@ -1,71 +1,54 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (17) + WholeStageCodegen (11) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (16) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_category] [total_sum,i_category,i_class,lochierarchy,_w0,g_class] - CometColumnarExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 - WholeStageCodegen (15) - HashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (4) - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] - Project [ws_net_paid,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - WholeStageCodegen (9) - HashAggregate [i_category,sum,isEmpty] [sum(total_sum),total_sum,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #6 - WholeStageCodegen (8) - HashAggregate [i_category,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 - WholeStageCodegen (14) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #7 - WholeStageCodegen (13) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 + CometExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 + CometHashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometUnion [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometHashAggregate [sum] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(UnscaledValue(ws_net_paid)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] + Project [ws_net_paid,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange [i_category] #6 + CometHashAggregate [total_sum] [i_category,sum,isEmpty] + CometHashAggregate [i_class,sum] [total_sum,i_category,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange #7 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [i_category,i_class,sum] [total_sum,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/explain.txt index 646b85d12e..07b5a23adc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/explain.txt @@ -1,29 +1,28 @@ == Physical Plan == -* CometColumnarToRow (25) -+- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (24) ++- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -73,7 +72,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 30] +(11) ReusedExchange [Reuses operator id: 29] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -97,75 +96,70 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometColumnarToRow [codegen id : 7] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (30) -+- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.date_dim (26) +BroadcastExchange (29) ++- * CometColumnarToRow (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.date_dim (25) -(26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(25) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(27) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(26) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(28) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(27) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(29) CometColumnarToRow [codegen id : 1] +(28) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(30) BroadcastExchange +(29) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/extended.txt index 9ab057d467..f5d0996b8d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/extended.txt @@ -5,33 +5,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 28 eligible operators (53%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/simplified.txt index c1ec019e57..b5c4948d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7/q98.native_datafusion/simplified.txt @@ -1,47 +1,44 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 From 79b964aaadc027773329b6838548de8e1604f654 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 09:22:53 -0700 Subject: [PATCH 3/8] more golden files --- .../q1.native_datafusion/explain.txt | 359 +- .../q1.native_datafusion/extended.txt | 110 +- .../q1.native_datafusion/simplified.txt | 91 +- .../q10.native_datafusion/explain.txt | 30 +- .../q10.native_datafusion/extended.txt | 8 +- .../q10.native_datafusion/simplified.txt | 10 +- .../q10.native_iceberg_compat/explain.txt | 22 +- .../q10.native_iceberg_compat/extended.txt | 8 +- .../q10.native_iceberg_compat/simplified.txt | 10 +- .../q10/explain.txt | 22 +- 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176 +- .../q24b/explain.txt | 410 +- .../q24b/extended.txt | 188 +- .../q24b/simplified.txt | 176 +- .../q25.native_datafusion/explain.txt | 38 +- .../q25.native_datafusion/extended.txt | 8 +- .../q25.native_datafusion/simplified.txt | 10 +- .../q26.native_datafusion/explain.txt | 30 +- .../q26.native_datafusion/extended.txt | 8 +- .../q26.native_datafusion/simplified.txt | 10 +- .../q27.native_datafusion/explain.txt | 30 +- .../q27.native_datafusion/extended.txt | 8 +- .../q27.native_datafusion/simplified.txt | 10 +- .../q29.native_datafusion/explain.txt | 46 +- .../q29.native_datafusion/extended.txt | 8 +- .../q29.native_datafusion/simplified.txt | 10 +- .../q30.native_datafusion/explain.txt | 395 +- .../q30.native_datafusion/extended.txt | 138 +- .../q30.native_datafusion/simplified.txt | 99 +- .../q31.native_datafusion/explain.txt | 847 ++- .../q31.native_datafusion/extended.txt | 288 +- .../q31.native_datafusion/simplified.txt | 285 +- .../q32.native_datafusion/explain.txt | 70 +- .../q32.native_datafusion/extended.txt | 12 +- .../q32.native_datafusion/simplified.txt | 14 +- .../q33.native_datafusion/explain.txt | 417 +- .../q33.native_datafusion/extended.txt | 219 +- .../q33.native_datafusion/simplified.txt | 199 +- .../q34.native_datafusion/explain.txt | 169 +- .../q34.native_datafusion/extended.txt | 86 +- .../q34.native_datafusion/simplified.txt | 105 +- .../q35.native_datafusion/explain.txt | 30 +- .../q35.native_datafusion/extended.txt | 8 +- .../q35.native_datafusion/simplified.txt | 10 +- .../q35.native_iceberg_compat/explain.txt | 22 +- .../q35.native_iceberg_compat/extended.txt | 8 +- .../q35.native_iceberg_compat/simplified.txt | 10 +- .../q35/explain.txt | 22 +- .../q35/extended.txt | 8 +- .../q35/simplified.txt | 10 +- .../q36.native_datafusion/explain.txt | 132 +- .../q36.native_datafusion/extended.txt | 73 +- .../q36.native_datafusion/simplified.txt | 91 +- .../q39a.native_datafusion/explain.txt | 333 +- .../q39a.native_datafusion/extended.txt | 142 +- .../q39a.native_datafusion/simplified.txt | 149 +- .../q39b.native_datafusion/explain.txt | 333 +- .../q39b.native_datafusion/extended.txt | 142 +- .../q39b.native_datafusion/simplified.txt | 149 +- .../q4.native_datafusion/explain.txt | 997 ++- .../q4.native_datafusion/extended.txt | 263 +- .../q4.native_datafusion/simplified.txt | 296 +- .../q45.native_datafusion/explain.txt | 30 +- .../q45.native_datafusion/extended.txt | 8 +- .../q45.native_datafusion/simplified.txt | 10 +- .../q45.native_iceberg_compat/explain.txt | 22 +- .../q45.native_iceberg_compat/extended.txt | 8 +- .../q45.native_iceberg_compat/simplified.txt | 10 +- .../q45/explain.txt | 22 +- .../q45/extended.txt | 8 +- .../q45/simplified.txt | 10 +- .../q46.native_datafusion/explain.txt | 200 +- .../q46.native_datafusion/extended.txt | 104 +- .../q46.native_datafusion/simplified.txt | 35 +- .../q47.native_datafusion/explain.txt | 278 +- .../q47.native_datafusion/extended.txt | 191 +- 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69 +- .../q63.native_datafusion/simplified.txt | 85 +- .../q65.native_datafusion/explain.txt | 355 +- .../q65.native_datafusion/extended.txt | 114 +- .../q65.native_datafusion/simplified.txt | 121 +- .../q66.native_datafusion/explain.txt | 306 +- .../q66.native_datafusion/extended.txt | 160 +- .../q66.native_datafusion/simplified.txt | 172 +- .../q67.native_datafusion/explain.txt | 58 +- .../q67.native_datafusion/extended.txt | 10 +- .../q67.native_datafusion/simplified.txt | 8 +- .../q68.native_datafusion/explain.txt | 200 +- .../q68.native_datafusion/extended.txt | 104 +- .../q68.native_datafusion/simplified.txt | 35 +- .../q69.native_datafusion/explain.txt | 30 +- .../q69.native_datafusion/extended.txt | 8 +- .../q69.native_datafusion/simplified.txt | 10 +- .../q69.native_iceberg_compat/explain.txt | 22 +- .../q69.native_iceberg_compat/extended.txt | 8 +- .../q69.native_iceberg_compat/simplified.txt | 10 +- .../q69/explain.txt | 22 +- .../q69/extended.txt | 8 +- .../q69/simplified.txt | 10 +- .../q7.native_datafusion/explain.txt | 30 +- .../q7.native_datafusion/extended.txt | 8 +- .../q7.native_datafusion/simplified.txt | 10 +- .../q70.native_datafusion/explain.txt | 226 +- .../q70.native_datafusion/extended.txt | 117 +- .../q70.native_datafusion/simplified.txt | 141 +- .../q70.native_iceberg_compat/explain.txt | 158 +- .../q70.native_iceberg_compat/extended.txt | 109 +- .../q70.native_iceberg_compat/simplified.txt | 131 +- .../q70/explain.txt | 158 +- .../q70/extended.txt | 109 +- .../q70/simplified.txt | 131 +- .../q71.native_datafusion/explain.txt | 136 +- .../q71.native_datafusion/extended.txt | 117 +- .../q71.native_datafusion/simplified.txt | 129 +- .../q73.native_datafusion/explain.txt | 169 +- .../q73.native_datafusion/extended.txt | 86 +- .../q73.native_datafusion/simplified.txt | 105 +- .../q74.native_datafusion/explain.txt | 633 +- .../q74.native_datafusion/extended.txt | 167 +- .../q74.native_datafusion/simplified.txt | 186 +- .../q77.native_datafusion/explain.txt | 744 ++- .../q77.native_datafusion/extended.txt | 130 +- .../q77.native_datafusion/simplified.txt | 132 +- .../q77.native_iceberg_compat/explain.txt | 22 +- .../q77.native_iceberg_compat/extended.txt | 8 +- .../q77.native_iceberg_compat/simplified.txt | 10 +- .../q77/explain.txt | 22 +- .../q77/extended.txt | 8 +- .../q77/simplified.txt | 10 +- .../q79.native_datafusion/explain.txt | 149 +- .../q79.native_datafusion/extended.txt | 79 +- .../q79.native_datafusion/simplified.txt | 26 +- .../q8.native_datafusion/explain.txt | 30 +- .../q8.native_datafusion/extended.txt | 8 +- .../q8.native_datafusion/simplified.txt | 10 +- .../q81.native_datafusion/explain.txt | 395 +- .../q81.native_datafusion/extended.txt | 138 +- .../q81.native_datafusion/simplified.txt | 99 +- .../q83.ansi.native_datafusion/explain.txt | 448 +- .../q83.ansi.native_datafusion/extended.txt | 170 +- .../q83.ansi.native_datafusion/simplified.txt | 84 +- 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.../q92.native_datafusion/extended.txt | 12 +- .../q92.native_datafusion/simplified.txt | 14 +- .../q98.native_datafusion/explain.txt | 138 +- .../q98.native_datafusion/extended.txt | 57 +- .../q98.native_datafusion/simplified.txt | 71 +- .../q10a.native_datafusion/explain.txt | 30 +- .../q10a.native_datafusion/extended.txt | 8 +- .../q10a.native_datafusion/simplified.txt | 10 +- .../q11.native_datafusion/explain.txt | 633 +- .../q11.native_datafusion/extended.txt | 167 +- .../q11.native_datafusion/simplified.txt | 186 +- .../q12.native_datafusion/explain.txt | 116 +- .../q12.native_datafusion/extended.txt | 57 +- .../q12.native_datafusion/simplified.txt | 69 +- .../q14.native_datafusion/explain.txt | 647 +- .../q14.native_datafusion/extended.txt | 449 +- .../q14.native_datafusion/simplified.txt | 160 +- .../q14a.native_datafusion/explain.txt | 1052 ++-- .../q14a.native_datafusion/extended.txt | 5514 ++++++++--------- .../q14a.native_datafusion/simplified.txt | 482 +- .../q18a.native_datafusion/explain.txt | 1029 ++- .../q18a.native_datafusion/extended.txt | 408 +- .../q18a.native_datafusion/simplified.txt | 48 +- .../q20.native_datafusion/explain.txt | 116 +- .../q20.native_datafusion/extended.txt | 57 +- .../q20.native_datafusion/simplified.txt | 69 +- .../q22.native_datafusion/explain.txt | 30 +- .../q22.native_datafusion/extended.txt | 8 +- .../q22.native_datafusion/simplified.txt | 10 +- .../q22.native_iceberg_compat/explain.txt | 22 +- .../q22.native_iceberg_compat/extended.txt | 8 +- .../q22.native_iceberg_compat/simplified.txt | 10 +- .../q22/explain.txt | 22 +- .../q22/extended.txt | 8 +- .../q22/simplified.txt | 10 +- .../q22a.native_datafusion/explain.txt | 343 +- .../q22a.native_datafusion/extended.txt | 364 +- .../q22a.native_datafusion/simplified.txt | 80 +- .../q24.native_datafusion/explain.txt | 412 +- .../q24.native_datafusion/extended.txt | 187 +- .../q24.native_datafusion/simplified.txt | 177 +- 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.../q74.native_datafusion/extended.txt | 167 +- .../q74.native_datafusion/simplified.txt | 186 +- .../q77a.native_datafusion/explain.txt | 913 ++- .../q77a.native_datafusion/extended.txt | 799 ++- .../q77a.native_datafusion/simplified.txt | 319 +- .../q77a.native_iceberg_compat/explain.txt | 331 +- .../q77a.native_iceberg_compat/extended.txt | 691 +-- .../q77a.native_iceberg_compat/simplified.txt | 251 +- .../q77a/explain.txt | 331 +- .../q77a/extended.txt | 691 +-- .../q77a/simplified.txt | 251 +- .../q86a.native_datafusion/explain.txt | 253 +- .../q86a.native_datafusion/extended.txt | 181 +- .../q86a.native_datafusion/simplified.txt | 107 +- .../q98.native_datafusion/explain.txt | 130 +- .../q98.native_datafusion/extended.txt | 57 +- .../q98.native_datafusion/simplified.txt | 71 +- .../q10a.native_datafusion/explain.txt | 30 +- .../q10a.native_datafusion/extended.txt | 8 +- .../q10a.native_datafusion/simplified.txt | 10 +- .../q11.native_datafusion/explain.txt | 633 +- 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.../q22.native_iceberg_compat/explain.txt | 22 +- .../q22.native_iceberg_compat/extended.txt | 8 +- .../q22.native_iceberg_compat/simplified.txt | 10 +- .../q22/explain.txt | 22 +- .../q22/extended.txt | 8 +- .../q22/simplified.txt | 10 +- .../q22a.native_datafusion/explain.txt | 383 +- .../q22a.native_datafusion/extended.txt | 364 +- .../q22a.native_datafusion/simplified.txt | 80 +- .../q24.native_datafusion/explain.txt | 412 +- .../q24.native_datafusion/extended.txt | 187 +- .../q24.native_datafusion/simplified.txt | 177 +- .../q24.native_iceberg_compat/explain.txt | 412 +- .../q24.native_iceberg_compat/extended.txt | 187 +- .../q24.native_iceberg_compat/simplified.txt | 177 +- .../q24/explain.txt | 412 +- .../q24/extended.txt | 187 +- .../q24/simplified.txt | 177 +- .../q27a.native_datafusion/explain.txt | 467 +- .../q27a.native_datafusion/extended.txt | 162 +- .../q27a.native_datafusion/simplified.txt | 30 +- .../q34.native_datafusion/explain.txt | 169 +- .../q34.native_datafusion/extended.txt | 86 +- .../q34.native_datafusion/simplified.txt | 105 +- .../q35.native_datafusion/explain.txt | 30 +- .../q35.native_datafusion/extended.txt | 8 +- .../q35.native_datafusion/simplified.txt | 10 +- .../q35.native_iceberg_compat/explain.txt | 22 +- .../q35.native_iceberg_compat/extended.txt | 8 +- .../q35.native_iceberg_compat/simplified.txt | 10 +- .../q35/explain.txt | 22 +- .../q35/extended.txt | 8 +- .../q35/simplified.txt | 10 +- .../q35a.native_datafusion/explain.txt | 30 +- .../q35a.native_datafusion/extended.txt | 8 +- .../q35a.native_datafusion/simplified.txt | 10 +- .../q36a.native_datafusion/explain.txt | 291 +- .../q36a.native_datafusion/extended.txt | 223 +- .../q36a.native_datafusion/simplified.txt | 127 +- .../q47.native_datafusion/explain.txt | 278 +- .../q47.native_datafusion/extended.txt | 191 +- .../q47.native_datafusion/simplified.txt | 102 +- .../q49.native_datafusion/explain.txt | 586 +- .../q49.native_datafusion/extended.txt | 153 +- .../q49.native_datafusion/simplified.txt | 189 +- .../q51a.native_datafusion/explain.txt | 648 +- .../q51a.native_datafusion/extended.txt | 414 +- .../q51a.native_datafusion/simplified.txt | 170 +- .../q51a.native_iceberg_compat/explain.txt | 490 +- .../q51a.native_iceberg_compat/extended.txt | 374 +- .../q51a.native_iceberg_compat/simplified.txt | 152 +- .../q51a/explain.txt | 490 +- .../q51a/extended.txt | 374 +- .../q51a/simplified.txt | 152 +- .../q57.native_datafusion/explain.txt | 278 +- .../q57.native_datafusion/extended.txt | 191 +- .../q57.native_datafusion/simplified.txt | 102 +- .../q5a.native_datafusion/explain.txt | 712 +-- .../q5a.native_datafusion/extended.txt | 618 +- .../q5a.native_datafusion/simplified.txt | 286 +- .../q6.native_datafusion/explain.txt | 68 +- .../q6.native_datafusion/extended.txt | 10 +- .../q6.native_datafusion/simplified.txt | 12 +- .../q67a.native_datafusion/explain.txt | 683 +- .../q67a.native_datafusion/extended.txt | 668 +- .../q67a.native_datafusion/simplified.txt | 212 +- .../q70a.native_datafusion/explain.txt | 381 +- .../q70a.native_datafusion/extended.txt | 353 +- .../q70a.native_datafusion/simplified.txt | 173 +- .../q70a.native_iceberg_compat/explain.txt | 301 +- .../q70a.native_iceberg_compat/extended.txt | 325 +- .../q70a.native_iceberg_compat/simplified.txt | 157 +- .../q70a/explain.txt | 301 +- .../q70a/extended.txt | 325 +- .../q70a/simplified.txt | 157 +- .../q74.native_datafusion/explain.txt | 633 +- .../q74.native_datafusion/extended.txt | 167 +- .../q74.native_datafusion/simplified.txt | 186 +- .../q77a.native_datafusion/explain.txt | 913 ++- .../q77a.native_datafusion/extended.txt | 799 ++- .../q77a.native_datafusion/simplified.txt | 319 +- .../q77a.native_iceberg_compat/explain.txt | 367 +- .../q77a.native_iceberg_compat/extended.txt | 691 +-- .../q77a.native_iceberg_compat/simplified.txt | 251 +- .../q77a/explain.txt | 367 +- .../q77a/extended.txt | 691 +-- .../q77a/simplified.txt | 251 +- .../q86a.native_datafusion/explain.txt | 261 +- .../q86a.native_datafusion/extended.txt | 181 +- .../q86a.native_datafusion/simplified.txt | 107 +- .../q98.native_datafusion/explain.txt | 130 +- .../q98.native_datafusion/extended.txt | 57 +- .../q98.native_datafusion/simplified.txt | 71 +- 762 files changed, 66829 insertions(+), 72343 deletions(-) diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/explain.txt index ba9b1ca1f6..ca5d768842 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/explain.txt @@ -1,48 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * Project (43) - +- * BroadcastHashJoin Inner BuildRight (42) - :- * Project (36) - : +- * BroadcastHashJoin Inner BuildRight (35) - : :- * Project (29) - : : +- * BroadcastHashJoin Inner BuildRight (28) - : : :- * Filter (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (27) - : : +- * Filter (26) - : : +- * HashAggregate (25) - : : +- * CometColumnarToRow (24) - : : +- CometColumnarExchange (23) - : : +- * HashAggregate (22) - : : +- * HashAggregate (21) - : : +- * CometColumnarToRow (20) - : : +- CometColumnarExchange (19) - : : +- * HashAggregate (18) - : : +- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.store_returns (12) - : : +- ReusedExchange (15) - : +- BroadcastExchange (34) - : +- * CometColumnarToRow (33) - : +- CometProject (32) - : +- CometFilter (31) - : +- CometNativeScan parquet spark_catalog.default.store (30) - +- BroadcastExchange (41) - +- * CometColumnarToRow (40) - +- CometProject (39) - +- CometFilter (38) - +- CometNativeScan parquet spark_catalog.default.customer (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometProject (38) + +- CometBroadcastHashJoin (37) + :- CometProject (32) + : +- CometBroadcastHashJoin (31) + : :- CometProject (26) + : : +- CometBroadcastHashJoin (25) + : : :- CometFilter (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- ReusedExchange (4) + : : +- CometBroadcastExchange (24) + : : +- CometFilter (23) + : : +- CometHashAggregate (22) + : : +- CometExchange (21) + : : +- CometHashAggregate (20) + : : +- CometHashAggregate (19) + : : +- CometColumnarExchange (18) + : : +- * HashAggregate (17) + : : +- * Project (16) + : : +- * BroadcastHashJoin Inner BuildRight (15) + : : :- * Filter (13) + : : : +- * ColumnarToRow (12) + : : : +- Scan parquet spark_catalog.default.store_returns (11) + : : +- ReusedExchange (14) + : +- CometBroadcastExchange (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.store (27) + +- CometBroadcastExchange (36) + +- CometProject (35) + +- CometFilter (34) + +- CometNativeScan parquet spark_catalog.default.customer (33) (1) Scan parquet spark_catalog.default.store_returns @@ -60,7 +56,7 @@ Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_s Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] Condition : (isnotnull(sr_store_sk#2) AND isnotnull(sr_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 49] +(4) ReusedExchange [Reuses operator id: 45] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 2] @@ -84,208 +80,185 @@ Results [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Arguments: hashpartitioning(sr_customer_sk#1, sr_store_sk#2, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 9] -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] - -(10) HashAggregate [codegen id : 9] +(9) CometHashAggregate Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Keys [2]: [sr_customer_sk#1, sr_store_sk#2] Functions [1]: [sum(UnscaledValue(sr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#3))#9] -Results [3]: [sr_customer_sk#1 AS ctr_customer_sk#10, sr_store_sk#2 AS ctr_store_sk#11, MakeDecimal(sum(UnscaledValue(sr_return_amt#3))#9,17,2) AS ctr_total_return#12] -(11) Filter [codegen id : 9] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12] -Condition : isnotnull(ctr_total_return#12) +(10) CometFilter +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Condition : isnotnull(ctr_total_return#11) -(12) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] +(11) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#16), dynamicpruningexpression(sr_returned_date_sk#16 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(13) ColumnarToRow [codegen id : 4] -Input [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] +(12) ColumnarToRow [codegen id : 4] +Input [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] -(14) Filter [codegen id : 4] -Input [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] -Condition : isnotnull(sr_store_sk#14) +(13) Filter [codegen id : 4] +Input [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#13) -(15) ReusedExchange [Reuses operator id: 49] -Output [1]: [d_date_sk#17] +(14) ReusedExchange [Reuses operator id: 45] +Output [1]: [d_date_sk#16] -(16) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [sr_returned_date_sk#16] -Right keys [1]: [d_date_sk#17] +(15) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(17) Project [codegen id : 4] -Output [3]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15] -Input [5]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16, d_date_sk#17] - -(18) HashAggregate [codegen id : 4] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15] -Keys [2]: [sr_customer_sk#13, sr_store_sk#14] -Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#15))] -Aggregate Attributes [1]: [sum#18] -Results [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] - -(19) CometColumnarExchange -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] -Arguments: hashpartitioning(sr_customer_sk#13, sr_store_sk#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] - -(20) CometColumnarToRow [codegen id : 5] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] - -(21) HashAggregate [codegen id : 5] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] -Keys [2]: [sr_customer_sk#13, sr_store_sk#14] -Functions [1]: [sum(UnscaledValue(sr_return_amt#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#15))#9] -Results [2]: [sr_store_sk#14 AS ctr_store_sk#20, MakeDecimal(sum(UnscaledValue(sr_return_amt#15))#9,17,2) AS ctr_total_return#21] - -(22) HashAggregate [codegen id : 5] -Input [2]: [ctr_store_sk#20, ctr_total_return#21] -Keys [1]: [ctr_store_sk#20] -Functions [1]: [partial_avg(ctr_total_return#21)] -Aggregate Attributes [2]: [sum#22, count#23] -Results [3]: [ctr_store_sk#20, sum#24, count#25] - -(23) CometColumnarExchange -Input [3]: [ctr_store_sk#20, sum#24, count#25] -Arguments: hashpartitioning(ctr_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(24) CometColumnarToRow [codegen id : 6] -Input [3]: [ctr_store_sk#20, sum#24, count#25] - -(25) HashAggregate [codegen id : 6] -Input [3]: [ctr_store_sk#20, sum#24, count#25] -Keys [1]: [ctr_store_sk#20] -Functions [1]: [avg(ctr_total_return#21)] -Aggregate Attributes [1]: [avg(ctr_total_return#21)#26] -Results [2]: [(avg(ctr_total_return#21)#26 * 1.2) AS (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] - -(26) Filter [codegen id : 6] -Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#27) - -(27) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=4] - -(28) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [ctr_store_sk#20] -Join type: Inner -Join condition: (cast(ctr_total_return#12 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#27) - -(29) Project [codegen id : 9] -Output [2]: [ctr_customer_sk#10, ctr_store_sk#11] -Input [5]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12, (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] - -(30) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#28, s_state#29] +(16) Project [codegen id : 4] +Output [3]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14] +Input [5]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15, d_date_sk#16] + +(17) HashAggregate [codegen id : 4] +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14] +Keys [2]: [sr_customer_sk#12, sr_store_sk#13] +Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#14))] +Aggregate Attributes [1]: [sum#17] +Results [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] + +(18) CometColumnarExchange +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] +Arguments: hashpartitioning(sr_customer_sk#12, sr_store_sk#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] + +(19) CometHashAggregate +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] +Keys [2]: [sr_customer_sk#12, sr_store_sk#13] +Functions [1]: [sum(UnscaledValue(sr_return_amt#14))] + +(20) CometHashAggregate +Input [2]: [ctr_store_sk#19, ctr_total_return#20] +Keys [1]: [ctr_store_sk#19] +Functions [1]: [partial_avg(ctr_total_return#20)] + +(21) CometExchange +Input [3]: [ctr_store_sk#19, sum#21, count#22] +Arguments: hashpartitioning(ctr_store_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(22) CometHashAggregate +Input [3]: [ctr_store_sk#19, sum#21, count#22] +Keys [1]: [ctr_store_sk#19] +Functions [1]: [avg(ctr_total_return#20)] + +(23) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#23) + +(24) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] + +(25) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Right output [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [ctr_store_sk#10], [ctr_store_sk#19], Inner, (cast(ctr_total_return#11 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#23), BuildRight + +(26) CometProject +Input [5]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11, (avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [ctr_customer_sk#9, ctr_store_sk#10], [ctr_customer_sk#9, ctr_store_sk#10] + +(27) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#24, s_state#25] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_store_sk)] ReadSchema: struct -(31) CometFilter -Input [2]: [s_store_sk#28, s_state#29] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#29, 2, true, false, true) = TN) AND isnotnull(s_store_sk#28)) - -(32) CometProject -Input [2]: [s_store_sk#28, s_state#29] -Arguments: [s_store_sk#28], [s_store_sk#28] +(28) CometFilter +Input [2]: [s_store_sk#24, s_state#25] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#25, 2, true, false, true) = TN) AND isnotnull(s_store_sk#24)) -(33) CometColumnarToRow [codegen id : 7] -Input [1]: [s_store_sk#28] +(29) CometProject +Input [2]: [s_store_sk#24, s_state#25] +Arguments: [s_store_sk#24], [s_store_sk#24] -(34) BroadcastExchange -Input [1]: [s_store_sk#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(30) CometBroadcastExchange +Input [1]: [s_store_sk#24] +Arguments: [s_store_sk#24] -(35) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [s_store_sk#28] -Join type: Inner -Join condition: None +(31) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#9, ctr_store_sk#10] +Right output [1]: [s_store_sk#24] +Arguments: [ctr_store_sk#10], [s_store_sk#24], Inner, BuildRight -(36) Project [codegen id : 9] -Output [1]: [ctr_customer_sk#10] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, s_store_sk#28] +(32) CometProject +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, s_store_sk#24] +Arguments: [ctr_customer_sk#9], [ctr_customer_sk#9] -(37) CometNativeScan parquet spark_catalog.default.customer -Output [2]: [c_customer_sk#30, c_customer_id#31] +(33) CometNativeScan parquet spark_catalog.default.customer +Output [2]: [c_customer_sk#26, c_customer_id#27] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(38) CometFilter -Input [2]: [c_customer_sk#30, c_customer_id#31] -Condition : isnotnull(c_customer_sk#30) +(34) CometFilter +Input [2]: [c_customer_sk#26, c_customer_id#27] +Condition : isnotnull(c_customer_sk#26) -(39) CometProject -Input [2]: [c_customer_sk#30, c_customer_id#31] -Arguments: [c_customer_sk#30, c_customer_id#32], [c_customer_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#31, 16, true, false, true) AS c_customer_id#32] +(35) CometProject +Input [2]: [c_customer_sk#26, c_customer_id#27] +Arguments: [c_customer_sk#26, c_customer_id#28], [c_customer_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true) AS c_customer_id#28] -(40) CometColumnarToRow [codegen id : 8] -Input [2]: [c_customer_sk#30, c_customer_id#32] +(36) CometBroadcastExchange +Input [2]: [c_customer_sk#26, c_customer_id#28] +Arguments: [c_customer_sk#26, c_customer_id#28] -(41) BroadcastExchange -Input [2]: [c_customer_sk#30, c_customer_id#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(37) CometBroadcastHashJoin +Left output [1]: [ctr_customer_sk#9] +Right output [2]: [c_customer_sk#26, c_customer_id#28] +Arguments: [ctr_customer_sk#9], [c_customer_sk#26], Inner, BuildRight -(42) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_customer_sk#10] -Right keys [1]: [c_customer_sk#30] -Join type: Inner -Join condition: None +(38) CometProject +Input [3]: [ctr_customer_sk#9, c_customer_sk#26, c_customer_id#28] +Arguments: [c_customer_id#28], [c_customer_id#28] -(43) Project [codegen id : 9] -Output [1]: [c_customer_id#32] -Input [3]: [ctr_customer_sk#10, c_customer_sk#30, c_customer_id#32] +(39) CometTakeOrderedAndProject +Input [1]: [c_customer_id#28] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#28 ASC NULLS FIRST], output=[c_customer_id#28]), [c_customer_id#28], 100, 0, [c_customer_id#28 ASC NULLS FIRST], [c_customer_id#28] -(44) TakeOrderedAndProject -Input [1]: [c_customer_id#32] -Arguments: 100, [c_customer_id#32 ASC NULLS FIRST], [c_customer_id#32] +(40) CometColumnarToRow [codegen id : 5] +Input [1]: [c_customer_id#28] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (49) -+- * CometColumnarToRow (48) - +- CometProject (47) - +- CometFilter (46) - +- CometNativeScan parquet spark_catalog.default.date_dim (45) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(45) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#33] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(46) CometFilter -Input [2]: [d_date_sk#6, d_year#33] -Condition : ((isnotnull(d_year#33) AND (d_year#33 = 2000)) AND isnotnull(d_date_sk#6)) +(42) CometFilter +Input [2]: [d_date_sk#6, d_year#29] +Condition : ((isnotnull(d_year#29) AND (d_year#29 = 2000)) AND isnotnull(d_date_sk#6)) -(47) CometProject -Input [2]: [d_date_sk#6, d_year#33] +(43) CometProject +Input [2]: [d_date_sk#6, d_year#29] Arguments: [d_date_sk#6], [d_date_sk#6] -(48) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(49) BroadcastExchange +(45) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 12 Hosting Expression = sr_returned_date_sk#16 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 11 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/extended.txt index 0622aad9d5..8c1fba02de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/extended.txt @@ -1,61 +1,57 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 49 eligible operators (36%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 49 eligible operators (69%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/simplified.txt index ed85c142aa..5bcab8f27a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q1.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id] - WholeStageCodegen (9) - Project [c_customer_id] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk] - BroadcastHashJoin [ctr_store_sk,s_store_sk] - Project [ctr_customer_sk,ctr_store_sk] - BroadcastHashJoin [ctr_store_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_customer_sk,ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id] + CometProject [c_customer_id] + CometBroadcastHashJoin [ctr_customer_sk,c_customer_sk,c_customer_id] + CometProject [ctr_customer_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,s_store_sk] + CometProject [ctr_customer_sk,ctr_store_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometFilter [ctr_customer_sk,ctr_store_sk,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_store_sk,ctr_total_return,sr_customer_sk,sr_store_sk,sum(UnscaledValue(sr_return_amt))] CometColumnarExchange [sr_customer_sk,sr_store_sk] #1 WholeStageCodegen (2) HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] @@ -29,44 +29,29 @@ TakeOrderedAndProject [c_customer_id] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (6) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_store_sk,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_store_sk] #4 - WholeStageCodegen (5) - HashAggregate [ctr_store_sk,ctr_total_return] [sum,count,sum,count] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 - WholeStageCodegen (4) - HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] - Project [sr_customer_sk,sr_store_sk,sr_return_amt] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id] [c_customer_sk,c_customer_id] - CometFilter [c_customer_sk,c_customer_id] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_store_sk] #3 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_store_sk,avg(ctr_total_return)] + CometExchange [ctr_store_sk] #4 + CometHashAggregate [ctr_total_return] [ctr_store_sk,sum,count] + CometHashAggregate [sr_customer_sk,sum] [ctr_store_sk,ctr_total_return,sr_store_sk,sum(UnscaledValue(sr_return_amt))] + CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 + WholeStageCodegen (4) + HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] + Project [sr_customer_sk,sr_store_sk,sr_return_amt] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [s_store_sk] #6 + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometBroadcastExchange [c_customer_sk,c_customer_id] #7 + CometProject [c_customer_id] [c_customer_sk,c_customer_id] + CometFilter [c_customer_sk,c_customer_id] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/explain.txt index 29034bd457..2a2101f0e7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_pur Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Arguments: hashpartitioning(cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Keys [8]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#33] -Results [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, count(1)#33 AS cnt1#34, cd_purchase_estimate#22, count(1)#33 AS cnt2#35, cd_credit_rating#30, count(1)#33 AS cnt3#36, cd_dep_count#24, count(1)#33 AS cnt4#37, cd_dep_employed_count#25, count(1)#33 AS cnt5#38, cd_dep_college_count#26, count(1)#33 AS cnt6#39] -(45) TakeOrderedAndProject -Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] -Arguments: 100, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] +(44) CometTakeOrderedAndProject +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_education_status#29 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#30 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[cd_gender#27,cd_marital_status#28,cd_education_status#29,cnt1#33,cd_purchase_estimate#22,cnt2#34,cd_credit_rating#30,cnt3#35,cd_dep_count#24,cnt4#36,cd_dep_employed_count#25,cnt5#37,cd_dep_college_count#26,cnt6#38]), [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38], 100, 0, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] + +(45) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#40, d_moy#41] +Output [3]: [d_date_sk#9, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,1), LessThanOrEqual(d_moy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#40, d_moy#41] -Condition : (((((isnotnull(d_year#40) AND isnotnull(d_moy#41)) AND (d_year#40 = 2002)) AND (d_moy#41 >= 1)) AND (d_moy#41 <= 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#39, d_moy#40] +Condition : (((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 2002)) AND (d_moy#40 >= 1)) AND (d_moy#40 <= 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#40, d_moy#41] +Input [3]: [d_date_sk#9, d_year#39, d_moy#40] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/simplified.txt index 0cc108b0b0..1ccf12847e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/explain.txt index 68bd670d8e..29cf6145f1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_pur Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Arguments: hashpartitioning(cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Keys [8]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#37] -Results [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, count(1)#37 AS cnt1#38, cd_purchase_estimate#26, count(1)#37 AS cnt2#39, cd_credit_rating#34, count(1)#37 AS cnt3#40, cd_dep_count#28, count(1)#37 AS cnt4#41, cd_dep_employed_count#29, count(1)#37 AS cnt5#42, cd_dep_college_count#30, count(1)#37 AS cnt6#43] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] -Arguments: 100, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#31 ASC NULLS FIRST,cd_marital_status#32 ASC NULLS FIRST,cd_education_status#33 ASC NULLS FIRST,cd_purchase_estimate#26 ASC NULLS FIRST,cd_credit_rating#34 ASC NULLS FIRST,cd_dep_count#28 ASC NULLS FIRST,cd_dep_employed_count#29 ASC NULLS FIRST,cd_dep_college_count#30 ASC NULLS FIRST], output=[cd_gender#31,cd_marital_status#32,cd_education_status#33,cnt1#37,cd_purchase_estimate#26,cnt2#38,cd_credit_rating#34,cnt3#39,cd_dep_count#28,cnt4#40,cd_dep_employed_count#29,cnt5#41,cd_dep_college_count#30,cnt6#42]), [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42], 100, 0, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/explain.txt index 68bd670d8e..29cf6145f1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_pur Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Arguments: hashpartitioning(cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Keys [8]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#37] -Results [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, count(1)#37 AS cnt1#38, cd_purchase_estimate#26, count(1)#37 AS cnt2#39, cd_credit_rating#34, count(1)#37 AS cnt3#40, cd_dep_count#28, count(1)#37 AS cnt4#41, cd_dep_employed_count#29, count(1)#37 AS cnt5#42, cd_dep_college_count#30, count(1)#37 AS cnt6#43] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] -Arguments: 100, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#31 ASC NULLS FIRST,cd_marital_status#32 ASC NULLS FIRST,cd_education_status#33 ASC NULLS FIRST,cd_purchase_estimate#26 ASC NULLS FIRST,cd_credit_rating#34 ASC NULLS FIRST,cd_dep_count#28 ASC NULLS FIRST,cd_dep_employed_count#29 ASC NULLS FIRST,cd_dep_college_count#30 ASC NULLS FIRST], output=[cd_gender#31,cd_marital_status#32,cd_education_status#33,cnt1#37,cd_purchase_estimate#26,cnt2#38,cd_credit_rating#34,cnt3#39,cd_dep_count#28,cnt4#40,cd_dep_employed_count#29,cnt5#41,cd_dep_college_count#30,cnt6#42]), [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42], 100, 0, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q10/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/explain.txt index d697d27f18..6252fff5e3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/explain.txt @@ -1,84 +1,81 @@ == Physical Plan == -TakeOrderedAndProject (80) -+- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (59) - : +- * BroadcastHashJoin Inner BuildRight (58) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (57) - : +- * Filter (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (48) - : : +- * BroadcastHashJoin Inner BuildRight (47) - : : :- * CometColumnarToRow (42) - : : : +- CometProject (41) - : : : +- CometFilter (40) - : : : +- CometNativeScan parquet spark_catalog.default.customer (39) - : : +- BroadcastExchange (46) - : : +- * Filter (45) - : : +- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.web_sales (43) - : +- ReusedExchange (49) - +- BroadcastExchange (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * CometColumnarToRow (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.customer (60) - : +- BroadcastExchange (67) - : +- * Filter (66) - : +- * ColumnarToRow (65) - : +- Scan parquet spark_catalog.default.web_sales (64) - +- ReusedExchange (70) +* CometColumnarToRow (77) ++- CometTakeOrderedAndProject (76) + +- CometProject (75) + +- CometBroadcastHashJoin (74) + :- CometProject (56) + : +- CometBroadcastHashJoin (55) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (54) + : +- CometFilter (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * CometColumnarToRow (40) + : : : +- CometProject (39) + : : : +- CometFilter (38) + : : : +- CometNativeScan parquet spark_catalog.default.customer (37) + : : +- BroadcastExchange (44) + : : +- * Filter (43) + : : +- * ColumnarToRow (42) + : : +- Scan parquet spark_catalog.default.web_sales (41) + : +- ReusedExchange (47) + +- CometBroadcastExchange (73) + +- CometHashAggregate (72) + +- CometColumnarExchange (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- * Project (66) + : +- * BroadcastHashJoin Inner BuildRight (65) + : :- * CometColumnarToRow (60) + : : +- CometProject (59) + : : +- CometFilter (58) + : : +- CometNativeScan parquet spark_catalog.default.customer (57) + : +- BroadcastExchange (64) + : +- * Filter (63) + : +- * ColumnarToRow (62) + : +- Scan parquet spark_catalog.default.web_sales (61) + +- ReusedExchange (67) (1) CometNativeScan parquet spark_catalog.default.customer @@ -128,7 +125,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 84] +(11) ReusedExchange [Reuses operator id: 81] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -152,367 +149,347 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14], [c_customer_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#31, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#33, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#34, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14], [c_customer_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#28, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#29, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#30, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#32, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#33, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#38), dynamicpruningexpression(ss_sold_date_sk#38 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ss_sold_date_sk#37), dynamicpruningexpression(ss_sold_date_sk#37 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Condition : isnotnull(ss_customer_sk#35) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Condition : isnotnull(ss_customer_sk#34) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#35] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#34] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Input [12]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] - -(29) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#40, d_year#41] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Input [12]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#38] -Right keys [1]: [d_date_sk#40] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#39, d_year#40] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38, d_date_sk#40, d_year#41] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum#42] -Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24] -Results [3]: [c_customer_id#9 AS customer_id#44, c_preferred_cust_flag#12 AS customer_preferred_cust_flag#45, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24,18,2) AS year_total#46] - -(36) BroadcastExchange -Input [3]: [customer_id#44, customer_preferred_cust_flag#45, year_total#46] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#44] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#37] +Right keys [1]: [d_date_sk#39] Join type: Inner Join condition: None -(38) Project [codegen id : 16] -Output [4]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46] -Input [5]: [customer_id#25, year_total#26, customer_id#44, customer_preferred_cust_flag#45, year_total#46] - -(39) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37, d_date_sk#39, d_year#40] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] +Aggregate Attributes [1]: [sum#41] +Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] + +(34) CometBroadcastExchange +Input [3]: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [3]: [customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#24], [customer_id#43], Inner, BuildRight + +(36) CometProject +Input [5]: [customer_id#24, year_total#25, customer_id#43, customer_preferred_cust_flag#44, year_total#45] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45], [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(40) CometFilter -Input [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] -Condition : (isnotnull(c_customer_sk#47) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#48, 16, true, false, true))) +(38) CometFilter +Input [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] +Condition : (isnotnull(c_customer_sk#46) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#47, 16, true, false, true))) -(41) CometProject -Input [8]: [c_customer_sk#47, c_customer_id#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_country#52, c_login#53, c_email_address#54] -Arguments: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60], [c_customer_sk#47, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#48, 16, true, false, true) AS c_customer_id#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#49, 20, true, false, true) AS c_first_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#50, 30, true, false, true) AS c_last_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#51, 1, true, false, true) AS c_preferred_cust_flag#58, c_birth_country#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#53, 13, true, false, true) AS c_login#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#54, 50, true, false, true) AS c_email_address#60] +(39) CometProject +Input [8]: [c_customer_sk#46, c_customer_id#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_country#51, c_login#52, c_email_address#53] +Arguments: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59], [c_customer_sk#46, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#47, 16, true, false, true) AS c_customer_id#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#48, 20, true, false, true) AS c_first_name#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#49, 30, true, false, true) AS c_last_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#50, 1, true, false, true) AS c_preferred_cust_flag#57, c_birth_country#51, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#52, 13, true, false, true) AS c_login#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#53, 50, true, false, true) AS c_email_address#59] -(42) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60] +(40) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59] -(43) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(41) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#64), dynamicpruningexpression(ws_sold_date_sk#64 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#63), dynamicpruningexpression(ws_sold_date_sk#63 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(42) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] -(45) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Condition : isnotnull(ws_bill_customer_sk#61) +(43) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Condition : isnotnull(ws_bill_customer_sk#60) -(46) BroadcastExchange -Input [4]: [ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(44) BroadcastExchange +Input [4]: [ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(47) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#47] -Right keys [1]: [ws_bill_customer_sk#61] +(45) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#46] +Right keys [1]: [ws_bill_customer_sk#60] Join type: Inner Join condition: None -(48) Project [codegen id : 10] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] -Input [12]: [c_customer_sk#47, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_bill_customer_sk#61, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64] +(46) Project [codegen id : 9] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] +Input [12]: [c_customer_sk#46, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_bill_customer_sk#60, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63] -(49) ReusedExchange [Reuses operator id: 84] -Output [2]: [d_date_sk#65, d_year#66] +(47) ReusedExchange [Reuses operator id: 81] +Output [2]: [d_date_sk#64, d_year#65] -(50) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#64] -Right keys [1]: [d_date_sk#65] +(48) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#63] +Right keys [1]: [d_date_sk#64] Join type: Inner Join condition: None -(51) Project [codegen id : 10] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, d_year#66] -Input [12]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, ws_sold_date_sk#64, d_date_sk#65, d_year#66] - -(52) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, ws_ext_discount_amt#62, ws_ext_list_price#63, d_year#66] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))] -Aggregate Attributes [1]: [sum#67] -Results [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] - -(53) CometColumnarExchange -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] -Arguments: hashpartitioning(c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(54) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] - -(55) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66, sum#68] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#52, c_login#59, c_email_address#60, d_year#66] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))#69] -Results [2]: [c_customer_id#55 AS customer_id#70, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#63 - ws_ext_discount_amt#62)))#69,18,2) AS year_total#71] - -(56) Filter [codegen id : 11] -Input [2]: [customer_id#70, year_total#71] -Condition : (isnotnull(year_total#71) AND (year_total#71 > 0.00)) - -(57) BroadcastExchange -Input [2]: [customer_id#70, year_total#71] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(58) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#70] -Join type: Inner -Join condition: None - -(59) Project [codegen id : 16] -Output [5]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, year_total#71] -Input [6]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, customer_id#70, year_total#71] - -(60) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +(49) Project [codegen id : 9] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, d_year#65] +Input [12]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, ws_sold_date_sk#63, d_date_sk#64, d_year#65] + +(50) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, ws_ext_discount_amt#61, ws_ext_list_price#62, d_year#65] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#62 - ws_ext_discount_amt#61)))] +Aggregate Attributes [1]: [sum#66] +Results [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] + +(51) CometColumnarExchange +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] +Arguments: hashpartitioning(c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65, sum#67] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#51, c_login#58, c_email_address#59, d_year#65] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#62 - ws_ext_discount_amt#61)))] + +(53) CometFilter +Input [2]: [customer_id#68, year_total#69] +Condition : (isnotnull(year_total#69) AND (year_total#69 > 0.00)) + +(54) CometBroadcastExchange +Input [2]: [customer_id#68, year_total#69] +Arguments: [customer_id#68, year_total#69] + +(55) CometBroadcastHashJoin +Left output [4]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45] +Right output [2]: [customer_id#68, year_total#69] +Arguments: [customer_id#24], [customer_id#68], Inner, BuildRight + +(56) CometProject +Input [6]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, customer_id#68, year_total#69] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69], [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69] + +(57) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(61) CometFilter -Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] -Condition : (isnotnull(c_customer_sk#72) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true))) +(58) CometFilter +Input [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] +Condition : (isnotnull(c_customer_sk#70) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#71, 16, true, false, true))) -(62) CometProject -Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] -Arguments: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60], [c_customer_sk#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true) AS c_customer_id#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#74, 20, true, false, true) AS c_first_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#75, 30, true, false, true) AS c_last_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#76, 1, true, false, true) AS c_preferred_cust_flag#58, c_birth_country#77, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#78, 13, true, false, true) AS c_login#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#79, 50, true, false, true) AS c_email_address#60] +(59) CometProject +Input [8]: [c_customer_sk#70, c_customer_id#71, c_first_name#72, c_last_name#73, c_preferred_cust_flag#74, c_birth_country#75, c_login#76, c_email_address#77] +Arguments: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59], [c_customer_sk#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#71, 16, true, false, true) AS c_customer_id#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#72, 20, true, false, true) AS c_first_name#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#73, 30, true, false, true) AS c_last_name#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#74, 1, true, false, true) AS c_preferred_cust_flag#57, c_birth_country#75, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#76, 13, true, false, true) AS c_login#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#77, 50, true, false, true) AS c_email_address#59] -(63) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60] +(60) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59] -(64) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(61) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#83), dynamicpruningexpression(ws_sold_date_sk#83 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ws_sold_date_sk#81), dynamicpruningexpression(ws_sold_date_sk#81 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(65) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(62) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] -(66) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Condition : isnotnull(ws_bill_customer_sk#80) +(63) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Condition : isnotnull(ws_bill_customer_sk#78) -(67) BroadcastExchange -Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(64) BroadcastExchange +Input [4]: [ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(68) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#72] -Right keys [1]: [ws_bill_customer_sk#80] +(65) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#70] +Right keys [1]: [ws_bill_customer_sk#78] Join type: Inner Join condition: None -(69) Project [codegen id : 14] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -Input [12]: [c_customer_sk#72, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +(66) Project [codegen id : 12] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] +Input [12]: [c_customer_sk#70, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_bill_customer_sk#78, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81] -(70) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#84, d_year#85] +(67) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#82, d_year#83] -(71) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#83] -Right keys [1]: [d_date_sk#84] +(68) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#81] +Right keys [1]: [d_date_sk#82] Join type: Inner Join condition: None -(72) Project [codegen id : 14] -Output [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] -Input [12]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83, d_date_sk#84, d_year#85] - -(73) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -Aggregate Attributes [1]: [sum#86] -Results [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] - -(74) CometColumnarExchange -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] -Arguments: hashpartitioning(c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(75) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] - -(76) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85, sum#87] -Keys [8]: [c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#77, c_login#59, c_email_address#60, d_year#85] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))#69] -Results [2]: [c_customer_id#55 AS customer_id#88, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))#69,18,2) AS year_total#89] - -(77) BroadcastExchange -Input [2]: [customer_id#88, year_total#89] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(78) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#88] -Join type: Inner -Join condition: (CASE WHEN (year_total#71 > 0.00) THEN (year_total#89 / year_total#71) END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#46 / year_total#26) END) +(69) Project [codegen id : 12] +Output [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, d_year#83] +Input [12]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, ws_sold_date_sk#81, d_date_sk#82, d_year#83] + +(70) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, ws_ext_discount_amt#79, ws_ext_list_price#80, d_year#83] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#80 - ws_ext_discount_amt#79)))] +Aggregate Attributes [1]: [sum#84] +Results [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] + +(71) CometColumnarExchange +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] +Arguments: hashpartitioning(c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(72) CometHashAggregate +Input [9]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83, sum#85] +Keys [8]: [c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#75, c_login#58, c_email_address#59, d_year#83] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#80 - ws_ext_discount_amt#79)))] -(79) Project [codegen id : 16] -Output [1]: [customer_preferred_cust_flag#45] -Input [7]: [customer_id#25, year_total#26, customer_preferred_cust_flag#45, year_total#46, year_total#71, customer_id#88, year_total#89] +(73) CometBroadcastExchange +Input [2]: [customer_id#86, year_total#87] +Arguments: [customer_id#86, year_total#87] -(80) TakeOrderedAndProject -Input [1]: [customer_preferred_cust_flag#45] -Arguments: 100, [customer_preferred_cust_flag#45 ASC NULLS FIRST], [customer_preferred_cust_flag#45] +(74) CometBroadcastHashJoin +Left output [5]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69] +Right output [2]: [customer_id#86, year_total#87] +Arguments: [customer_id#24], [customer_id#86], Inner, (CASE WHEN (year_total#69 > 0.00) THEN (year_total#87 / year_total#69) END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#45 / year_total#25) END), BuildRight + +(75) CometProject +Input [7]: [customer_id#24, year_total#25, customer_preferred_cust_flag#44, year_total#45, year_total#69, customer_id#86, year_total#87] +Arguments: [customer_preferred_cust_flag#44], [customer_preferred_cust_flag#44] + +(76) CometTakeOrderedAndProject +Input [1]: [customer_preferred_cust_flag#44] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_preferred_cust_flag#44 ASC NULLS FIRST], output=[customer_preferred_cust_flag#44]), [customer_preferred_cust_flag#44], 100, 0, [customer_preferred_cust_flag#44 ASC NULLS FIRST], [customer_preferred_cust_flag#44] + +(77) CometColumnarToRow [codegen id : 13] +Input [1]: [customer_preferred_cust_flag#44] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (84) -+- * CometColumnarToRow (83) - +- CometFilter (82) - +- CometNativeScan parquet spark_catalog.default.date_dim (81) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(81) CometNativeScan parquet spark_catalog.default.date_dim +(78) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(82) CometFilter +(79) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(83) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(84) BroadcastExchange +(81) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#38 IN dynamicpruning#39 -BroadcastExchange (88) -+- * CometColumnarToRow (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#37 IN dynamicpruning#38 +BroadcastExchange (85) ++- * CometColumnarToRow (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_year#41] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#39, d_year#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [2]: [d_date_sk#40, d_year#41] -Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2002)) AND isnotnull(d_date_sk#40)) +(83) CometFilter +Input [2]: [d_date_sk#39, d_year#40] +Condition : ((isnotnull(d_year#40) AND (d_year#40 = 2002)) AND isnotnull(d_date_sk#39)) -(87) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#40, d_year#41] +(84) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#39, d_year#40] -(88) BroadcastExchange -Input [2]: [d_date_sk#40, d_year#41] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(85) BroadcastExchange +Input [2]: [d_date_sk#39, d_year#40] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 43 Hosting Expression = ws_sold_date_sk#64 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 41 Hosting Expression = ws_sold_date_sk#63 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 64 Hosting Expression = ws_sold_date_sk#83 IN dynamicpruning#39 +Subquery:4 Hosting operator id = 61 Hosting Expression = ws_sold_date_sk#81 IN dynamicpruning#38 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/extended.txt index 0f9f19de77..e7100f59c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/extended.txt @@ -1,88 +1,85 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -103,4 +100,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 44 out of 86 eligible operators (51%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/simplified.txt index 6c9e276c01..2bb2dca259 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q11.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [customer_preferred_cust_flag] - WholeStageCodegen (16) - Project [customer_preferred_cust_flag] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_preferred_cust_flag] + CometProject [customer_preferred_cust_flag] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_preferred_cust_flag,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -38,94 +38,82 @@ TakeOrderedAndProject [customer_preferred_cust_flag] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_preferred_cust_flag,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometBroadcastExchange [customer_id,customer_preferred_cust_flag,year_total] #4 + CometHashAggregate [c_first_name,c_last_name,d_year,c_birth_country,c_login,c_email_address,sum] [customer_id,customer_preferred_cust_flag,year_total,c_customer_id,c_preferred_cust_flag,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/explain.txt index 19d16c378b..29d6ac27e4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/simplified.txt index b7b0a89774..df2dd7f3fe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/explain.txt index dbacf525ef..b4e29d42ef 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (36) -+- * CometColumnarToRow (35) +* CometColumnarToRow (36) ++- CometHashAggregate (35) +- CometColumnarExchange (34) +- * HashAggregate (33) +- * Project (32) @@ -196,15 +196,13 @@ Results [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(35) CometColumnarToRow [codegen id : 7] -Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] - -(36) HashAggregate [codegen id : 7] +(35) CometHashAggregate Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Keys: [] Functions [4]: [avg(ss_quantity#5), avg(UnscaledValue(ss_ext_sales_price#7)), avg(UnscaledValue(ss_ext_wholesale_cost#8)), sum(UnscaledValue(ss_ext_wholesale_cost#8))] -Aggregate Attributes [4]: [avg(ss_quantity#5)#39, avg(UnscaledValue(ss_ext_sales_price#7))#40, avg(UnscaledValue(ss_ext_wholesale_cost#8))#41, sum(UnscaledValue(ss_ext_wholesale_cost#8))#42] -Results [4]: [avg(ss_quantity#5)#39 AS avg(ss_quantity)#43, cast((avg(UnscaledValue(ss_ext_sales_price#7))#40 / 100.0) as decimal(11,6)) AS avg(ss_ext_sales_price)#44, cast((avg(UnscaledValue(ss_ext_wholesale_cost#8))#41 / 100.0) as decimal(11,6)) AS avg(ss_ext_wholesale_cost)#45, MakeDecimal(sum(UnscaledValue(ss_ext_wholesale_cost#8))#42,17,2) AS sum(ss_ext_wholesale_cost)#46] + +(36) CometColumnarToRow [codegen id : 7] +Input [4]: [avg(ss_quantity)#39, avg(ss_ext_sales_price)#40, avg(ss_ext_wholesale_cost)#41, sum(ss_ext_wholesale_cost)#42] ===== Subqueries ===== @@ -217,18 +215,18 @@ BroadcastExchange (41) (37) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_year#47] +Output [2]: [d_date_sk#17, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (38) CometFilter -Input [2]: [d_date_sk#17, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2001)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#17, d_year#43] +Condition : ((isnotnull(d_year#43) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#17)) (39) CometProject -Input [2]: [d_date_sk#17, d_year#47] +Input [2]: [d_date_sk#17, d_year#43] Arguments: [d_date_sk#17], [d_date_sk#17] (40) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/extended.txt index 4c0d0b7a33..5a17c12762 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 38 eligible operators (47%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/simplified.txt index a33ae5a161..df20fc4550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q13.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost)),avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),sum,count,sum,count,sum,count,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ss_quantity,ss_ext_sales_price,ss_ext_wholesale_cost] [sum,count,sum,count,sum,count,sum,sum,count,sum,count,sum,count,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/explain.txt index f7377ccf8a..b6de7668f1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/explain.txt @@ -1,114 +1,111 @@ == Physical Plan == -TakeOrderedAndProject (110) -+- * HashAggregate (109) - +- * CometColumnarToRow (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- * Expand (105) - +- Union (104) - :- * Project (69) - : +- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - :- * Project (86) - : +- * Filter (85) - : +- * HashAggregate (84) - : +- * CometColumnarToRow (83) - : +- CometColumnarExchange (82) - : +- * HashAggregate (81) - : +- * Project (80) - : +- * BroadcastHashJoin Inner BuildRight (79) - : :- * Project (77) - : : +- * BroadcastHashJoin Inner BuildRight (76) - : : :- * BroadcastHashJoin LeftSemi BuildRight (74) - : : : :- * Filter (72) - : : : : +- * ColumnarToRow (71) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (70) - : : : +- ReusedExchange (73) - : : +- ReusedExchange (75) - : +- ReusedExchange (78) - +- * Project (103) - +- * Filter (102) - +- * HashAggregate (101) - +- * CometColumnarToRow (100) - +- CometColumnarExchange (99) - +- * HashAggregate (98) - +- * Project (97) - +- * BroadcastHashJoin Inner BuildRight (96) - :- * Project (94) - : +- * BroadcastHashJoin Inner BuildRight (93) - : :- * BroadcastHashJoin LeftSemi BuildRight (91) - : : :- * Filter (89) - : : : +- * ColumnarToRow (88) - : : : +- Scan parquet spark_catalog.default.web_sales (87) - : : +- ReusedExchange (90) - : +- ReusedExchange (92) - +- ReusedExchange (95) +* CometColumnarToRow (107) ++- CometTakeOrderedAndProject (106) + +- CometHashAggregate (105) + +- CometExchange (104) + +- CometHashAggregate (103) + +- CometExpand (102) + +- CometUnion (101) + :- CometProject (68) + : +- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + :- CometProject (84) + : +- CometFilter (83) + : +- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Project (76) + : : +- * BroadcastHashJoin Inner BuildRight (75) + : : :- * BroadcastHashJoin LeftSemi BuildRight (73) + : : : :- * Filter (71) + : : : : +- * ColumnarToRow (70) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) + : : : +- ReusedExchange (72) + : : +- ReusedExchange (74) + : +- ReusedExchange (77) + +- CometProject (100) + +- CometFilter (99) + +- CometHashAggregate (98) + +- CometColumnarExchange (97) + +- * HashAggregate (96) + +- * Project (95) + +- * BroadcastHashJoin Inner BuildRight (94) + :- * Project (92) + : +- * BroadcastHashJoin Inner BuildRight (91) + : :- * BroadcastHashJoin LeftSemi BuildRight (89) + : : :- * Filter (87) + : : : +- * ColumnarToRow (86) + : : : +- Scan parquet spark_catalog.default.web_sales (85) + : : +- ReusedExchange (88) + : +- ReusedExchange (90) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -212,7 +209,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 140] +(22) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -249,7 +246,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 140] +(30) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -309,7 +306,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 140] +(43) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -393,7 +390,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 135] +(61) ReusedExchange [Reuses operator id: 132] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -417,393 +414,375 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#49, count(1)#48 AS number_sales#50] -(68) Filter [codegen id : 26] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] -Condition : (isnotnull(sales#49) AND (cast(sales#49 as decimal(32,6)) > cast(Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) +(67) CometFilter +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Condition : (isnotnull(sales#47) AND (cast(sales#47 as decimal(32,6)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) -(69) Project [codegen id : 26] -Output [6]: [sales#49, number_sales#50, store AS channel#53, i_brand_id#37 AS i_brand_id#54, i_class_id#38 AS i_class_id#55, i_category_id#39 AS i_category_id#56] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] +(68) CometProject +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Arguments: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54], [sales#47, number_sales#48, store AS channel#51, i_brand_id#37 AS i_brand_id#52, i_class_id#38 AS i_class_id#53, i_category_id#39 AS i_category_id#54] -(70) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(69) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#60), dynamicpruningexpression(cs_sold_date_sk#60 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#58), dynamicpruningexpression(cs_sold_date_sk#58 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(70) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] -(72) Filter [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] -Condition : isnotnull(cs_item_sk#57) +(71) Filter [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] +Condition : isnotnull(cs_item_sk#55) -(73) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#61] +(72) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#59] -(74) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] -Right keys [1]: [ss_item_sk#61] +(73) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] +Right keys [1]: [ss_item_sk#59] Join type: LeftSemi Join condition: None -(75) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#62, i_brand_id#63, i_class_id#64, i_category_id#65] +(74) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] -(76) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] -Right keys [1]: [i_item_sk#62] +(75) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] +Right keys [1]: [i_item_sk#60] Join type: Inner Join condition: None -(77) Project [codegen id : 51] -Output [6]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [8]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_item_sk#62, i_brand_id#63, i_class_id#64, i_category_id#65] +(76) Project [codegen id : 50] +Output [6]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#61, i_class_id#62, i_category_id#63] +Input [8]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] -(78) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#66] +(77) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#64] -(79) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#60] -Right keys [1]: [d_date_sk#66] +(78) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#58] +Right keys [1]: [d_date_sk#64] Join type: Inner Join condition: None -(80) Project [codegen id : 51] -Output [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [7]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#63, i_class_id#64, i_category_id#65, d_date_sk#66] - -(81) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#63, i_class_id#64, i_category_id#65] -Keys [3]: [i_brand_id#63, i_class_id#64, i_category_id#65] -Functions [2]: [partial_sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), partial_count(1)] -Aggregate Attributes [3]: [sum#67, isEmpty#68, count#69] -Results [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] - -(82) CometColumnarExchange -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] -Arguments: hashpartitioning(i_brand_id#63, i_class_id#64, i_category_id#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(83) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] - -(84) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] -Keys [3]: [i_brand_id#63, i_class_id#64, i_category_id#65] -Functions [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#73, count(1)#74] -Results [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#73 AS sales#75, count(1)#74 AS number_sales#76] - -(85) Filter [codegen id : 52] -Input [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sales#75, number_sales#76] -Condition : (isnotnull(sales#75) AND (cast(sales#75 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(86) Project [codegen id : 52] -Output [6]: [sales#75, number_sales#76, catalog AS channel#77, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sales#75, number_sales#76] - -(87) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] +(79) Project [codegen id : 50] +Output [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#61, i_class_id#62, i_category_id#63] +Input [7]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] + +(80) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#61, i_class_id#62, i_category_id#63] +Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] +Functions [2]: [partial_sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), partial_count(1)] +Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] +Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] + +(81) CometColumnarExchange +Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] +Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(82) CometHashAggregate +Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] +Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] +Functions [2]: [sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), count(1)] + +(83) CometFilter +Input [5]: [i_brand_id#61, i_class_id#62, i_category_id#63, sales#71, number_sales#72] +Condition : (isnotnull(sales#71) AND (cast(sales#71 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(84) CometProject +Input [5]: [i_brand_id#61, i_class_id#62, i_category_id#63, sales#71, number_sales#72] +Arguments: [sales#71, number_sales#72, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63], [sales#71, number_sales#72, catalog AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63] + +(85) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#81), dynamicpruningexpression(ws_sold_date_sk#81 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#77), dynamicpruningexpression(ws_sold_date_sk#77 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(88) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] +(86) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] -(89) Filter [codegen id : 77] -Input [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] -Condition : isnotnull(ws_item_sk#78) +(87) Filter [codegen id : 75] +Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] +Condition : isnotnull(ws_item_sk#74) -(90) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#82] +(88) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#78] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#78] -Right keys [1]: [ss_item_sk#82] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#74] +Right keys [1]: [ss_item_sk#78] Join type: LeftSemi Join condition: None -(92) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#83, i_brand_id#84, i_class_id#85, i_category_id#86] +(90) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82] -(93) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#78] -Right keys [1]: [i_item_sk#83] +(91) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#74] +Right keys [1]: [i_item_sk#79] Join type: Inner Join condition: None -(94) Project [codegen id : 77] -Output [6]: [ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [8]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_item_sk#83, i_brand_id#84, i_class_id#85, i_category_id#86] +(92) Project [codegen id : 75] +Output [6]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82] +Input [8]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82] -(95) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#87] +(93) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#83] -(96) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#81] -Right keys [1]: [d_date_sk#87] +(94) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#77] +Right keys [1]: [d_date_sk#83] Join type: Inner Join condition: None -(97) Project [codegen id : 77] -Output [5]: [ws_quantity#79, ws_list_price#80, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [7]: [ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_brand_id#84, i_class_id#85, i_category_id#86, d_date_sk#87] - -(98) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#79, ws_list_price#80, i_brand_id#84, i_class_id#85, i_category_id#86] -Keys [3]: [i_brand_id#84, i_class_id#85, i_category_id#86] -Functions [2]: [partial_sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80)), partial_count(1)] -Aggregate Attributes [3]: [sum#88, isEmpty#89, count#90] -Results [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] - -(99) CometColumnarExchange -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] -Arguments: hashpartitioning(i_brand_id#84, i_class_id#85, i_category_id#86, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(100) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] - -(101) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] -Keys [3]: [i_brand_id#84, i_class_id#85, i_category_id#86] -Functions [2]: [sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80))#94, count(1)#95] -Results [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80))#94 AS sales#96, count(1)#95 AS number_sales#97] - -(102) Filter [codegen id : 78] -Input [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sales#96, number_sales#97] -Condition : (isnotnull(sales#96) AND (cast(sales#96 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(103) Project [codegen id : 78] -Output [6]: [sales#96, number_sales#97, web AS channel#98, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sales#96, number_sales#97] - -(104) Union - -(105) Expand [codegen id : 79] -Input [6]: [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56] -Arguments: [[sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56, 0], [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, null, 1], [sales#49, number_sales#50, channel#53, i_brand_id#54, null, null, 3], [sales#49, number_sales#50, channel#53, null, null, null, 7], [sales#49, number_sales#50, null, null, null, null, 15]], [sales#49, number_sales#50, channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] - -(106) HashAggregate [codegen id : 79] -Input [7]: [sales#49, number_sales#50, channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Keys [5]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Functions [2]: [partial_sum(sales#49), partial_sum(number_sales#50)] -Aggregate Attributes [3]: [sum#104, isEmpty#105, sum#106] -Results [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] - -(107) CometColumnarExchange -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] -Arguments: hashpartitioning(channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(108) CometColumnarToRow [codegen id : 80] -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] - -(109) HashAggregate [codegen id : 80] -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] -Keys [5]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Functions [2]: [sum(sales#49), sum(number_sales#50)] -Aggregate Attributes [2]: [sum(sales#49)#110, sum(number_sales#50)#111] -Results [6]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales#49)#110 AS sum(sales)#112, sum(number_sales#50)#111 AS sum(number_sales)#113] - -(110) TakeOrderedAndProject -Input [6]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales)#112, sum(number_sales)#113] -Arguments: 100, [channel#99 ASC NULLS FIRST, i_brand_id#100 ASC NULLS FIRST, i_class_id#101 ASC NULLS FIRST, i_category_id#102 ASC NULLS FIRST], [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales)#112, sum(number_sales)#113] +(95) Project [codegen id : 75] +Output [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82] +Input [7]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82, d_date_sk#83] + +(96) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82] +Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82] +Functions [2]: [partial_sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), partial_count(1)] +Aggregate Attributes [3]: [sum#84, isEmpty#85, count#86] +Results [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] + +(97) CometColumnarExchange +Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] +Arguments: hashpartitioning(i_brand_id#80, i_class_id#81, i_category_id#82, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(98) CometHashAggregate +Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] +Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82] +Functions [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), count(1)] + +(99) CometFilter +Input [5]: [i_brand_id#80, i_class_id#81, i_category_id#82, sales#90, number_sales#91] +Condition : (isnotnull(sales#90) AND (cast(sales#90 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(100) CometProject +Input [5]: [i_brand_id#80, i_class_id#81, i_category_id#82, sales#90, number_sales#91] +Arguments: [sales#90, number_sales#91, channel#92, i_brand_id#80, i_class_id#81, i_category_id#82], [sales#90, number_sales#91, web AS channel#92, i_brand_id#80, i_class_id#81, i_category_id#82] + +(101) CometUnion +Child 0 Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Child 1 Input [6]: [sales#71, number_sales#72, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63] +Child 2 Input [6]: [sales#90, number_sales#91, channel#92, i_brand_id#80, i_class_id#81, i_category_id#82] + +(102) CometExpand +Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Arguments: [[sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54, 0], [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, null, 1], [sales#47, number_sales#48, channel#51, i_brand_id#52, null, null, 3], [sales#47, number_sales#48, channel#51, null, null, null, 7], [sales#47, number_sales#48, null, null, null, null, 15]], [sales#47, number_sales#48, channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] + +(103) CometHashAggregate +Input [7]: [sales#47, number_sales#48, channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Keys [5]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Functions [2]: [partial_sum(sales#47), partial_sum(number_sales#48)] + +(104) CometExchange +Input [8]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, sum#98, isEmpty#99, sum#100] +Arguments: hashpartitioning(channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(105) CometHashAggregate +Input [8]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, sum#98, isEmpty#99, sum#100] +Keys [5]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Functions [2]: [sum(sales#47), sum(number_sales#48)] + +(106) CometTakeOrderedAndProject +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#93 ASC NULLS FIRST,i_brand_id#94 ASC NULLS FIRST,i_class_id#95 ASC NULLS FIRST,i_category_id#96 ASC NULLS FIRST], output=[channel#93,i_brand_id#94,i_class_id#95,i_category_id#96,sum(sales)#101,sum(number_sales)#102]), [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102], 100, 0, [channel#93 ASC NULLS FIRST, i_brand_id#94 ASC NULLS FIRST, i_class_id#95 ASC NULLS FIRST, i_category_id#96 ASC NULLS FIRST], [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] + +(107) CometColumnarToRow [codegen id : 76] +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#51, [id=#52] -* HashAggregate (130) -+- * CometColumnarToRow (129) - +- CometColumnarExchange (128) - +- * HashAggregate (127) - +- Union (126) - :- * Project (115) - : +- * BroadcastHashJoin Inner BuildRight (114) - : :- * ColumnarToRow (112) - : : +- Scan parquet spark_catalog.default.store_sales (111) - : +- ReusedExchange (113) - :- * Project (120) - : +- * BroadcastHashJoin Inner BuildRight (119) - : :- * ColumnarToRow (117) - : : +- Scan parquet spark_catalog.default.catalog_sales (116) - : +- ReusedExchange (118) - +- * Project (125) - +- * BroadcastHashJoin Inner BuildRight (124) - :- * ColumnarToRow (122) - : +- Scan parquet spark_catalog.default.web_sales (121) - +- ReusedExchange (123) - - -(111) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#49, [id=#50] +* CometColumnarToRow (127) ++- CometHashAggregate (126) + +- CometColumnarExchange (125) + +- * HashAggregate (124) + +- Union (123) + :- * Project (112) + : +- * BroadcastHashJoin Inner BuildRight (111) + : :- * ColumnarToRow (109) + : : +- Scan parquet spark_catalog.default.store_sales (108) + : +- ReusedExchange (110) + :- * Project (117) + : +- * BroadcastHashJoin Inner BuildRight (116) + : :- * ColumnarToRow (114) + : : +- Scan parquet spark_catalog.default.catalog_sales (113) + : +- ReusedExchange (115) + +- * Project (122) + +- * BroadcastHashJoin Inner BuildRight (121) + :- * ColumnarToRow (119) + : +- Scan parquet spark_catalog.default.web_sales (118) + +- ReusedExchange (120) + + +(108) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#116), dynamicpruningexpression(ss_sold_date_sk#116 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#105), dynamicpruningexpression(ss_sold_date_sk#105 IN dynamicpruning#12)] ReadSchema: struct -(112) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116] +(109) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105] -(113) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#117] +(110) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#106] -(114) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#116] -Right keys [1]: [d_date_sk#117] +(111) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#105] +Right keys [1]: [d_date_sk#106] Join type: Inner Join condition: None -(115) Project [codegen id : 2] -Output [2]: [ss_quantity#114 AS quantity#118, ss_list_price#115 AS list_price#119] -Input [4]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116, d_date_sk#117] +(112) Project [codegen id : 2] +Output [2]: [ss_quantity#103 AS quantity#107, ss_list_price#104 AS list_price#108] +Input [4]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105, d_date_sk#106] -(116) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122] +(113) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#122), dynamicpruningexpression(cs_sold_date_sk#122 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#111), dynamicpruningexpression(cs_sold_date_sk#111 IN dynamicpruning#12)] ReadSchema: struct -(117) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122] +(114) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111] -(118) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#123] +(115) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#112] -(119) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#122] -Right keys [1]: [d_date_sk#123] +(116) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#111] +Right keys [1]: [d_date_sk#112] Join type: Inner Join condition: None -(120) Project [codegen id : 4] -Output [2]: [cs_quantity#120 AS quantity#124, cs_list_price#121 AS list_price#125] -Input [4]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122, d_date_sk#123] +(117) Project [codegen id : 4] +Output [2]: [cs_quantity#109 AS quantity#113, cs_list_price#110 AS list_price#114] +Input [4]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111, d_date_sk#112] -(121) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128] +(118) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#128), dynamicpruningexpression(ws_sold_date_sk#128 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#117), dynamicpruningexpression(ws_sold_date_sk#117 IN dynamicpruning#12)] ReadSchema: struct -(122) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128] +(119) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117] -(123) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#129] +(120) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#118] -(124) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#128] -Right keys [1]: [d_date_sk#129] +(121) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#117] +Right keys [1]: [d_date_sk#118] Join type: Inner Join condition: None -(125) Project [codegen id : 6] -Output [2]: [ws_quantity#126 AS quantity#130, ws_list_price#127 AS list_price#131] -Input [4]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128, d_date_sk#129] +(122) Project [codegen id : 6] +Output [2]: [ws_quantity#115 AS quantity#119, ws_list_price#116 AS list_price#120] +Input [4]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117, d_date_sk#118] -(126) Union +(123) Union -(127) HashAggregate [codegen id : 7] -Input [2]: [quantity#118, list_price#119] +(124) HashAggregate [codegen id : 7] +Input [2]: [quantity#107, list_price#108] Keys: [] -Functions [1]: [partial_avg((cast(quantity#118 as decimal(10,0)) * list_price#119))] -Aggregate Attributes [2]: [sum#132, count#133] -Results [2]: [sum#134, count#135] +Functions [1]: [partial_avg((cast(quantity#107 as decimal(10,0)) * list_price#108))] +Aggregate Attributes [2]: [sum#121, count#122] +Results [2]: [sum#123, count#124] -(128) CometColumnarExchange -Input [2]: [sum#134, count#135] +(125) CometColumnarExchange +Input [2]: [sum#123, count#124] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(129) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#134, count#135] - -(130) HashAggregate [codegen id : 8] -Input [2]: [sum#134, count#135] +(126) CometHashAggregate +Input [2]: [sum#123, count#124] Keys: [] -Functions [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))] -Aggregate Attributes [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))#136] -Results [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))#136 AS average_sales#137] +Functions [1]: [avg((cast(quantity#107 as decimal(10,0)) * list_price#108))] + +(127) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#125] -Subquery:2 Hosting operator id = 111 Hosting Expression = ss_sold_date_sk#116 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 108 Hosting Expression = ss_sold_date_sk#105 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 116 Hosting Expression = cs_sold_date_sk#122 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 113 Hosting Expression = cs_sold_date_sk#111 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 121 Hosting Expression = ws_sold_date_sk#128 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 118 Hosting Expression = ws_sold_date_sk#117 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (135) -+- * CometColumnarToRow (134) - +- CometProject (133) - +- CometFilter (132) - +- CometNativeScan parquet spark_catalog.default.date_dim (131) +BroadcastExchange (132) ++- * CometColumnarToRow (131) + +- CometProject (130) + +- CometFilter (129) + +- CometNativeScan parquet spark_catalog.default.date_dim (128) -(131) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#138, d_moy#139] +(128) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#126, d_moy#127] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(132) CometFilter -Input [3]: [d_date_sk#40, d_year#138, d_moy#139] -Condition : ((((isnotnull(d_year#138) AND isnotnull(d_moy#139)) AND (d_year#138 = 2001)) AND (d_moy#139 = 11)) AND isnotnull(d_date_sk#40)) +(129) CometFilter +Input [3]: [d_date_sk#40, d_year#126, d_moy#127] +Condition : ((((isnotnull(d_year#126) AND isnotnull(d_moy#127)) AND (d_year#126 = 2001)) AND (d_moy#127 = 11)) AND isnotnull(d_date_sk#40)) -(133) CometProject -Input [3]: [d_date_sk#40, d_year#138, d_moy#139] +(130) CometProject +Input [3]: [d_date_sk#40, d_year#126, d_moy#127] Arguments: [d_date_sk#40], [d_date_sk#40] -(134) CometColumnarToRow [codegen id : 1] +(131) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(135) BroadcastExchange +(132) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (140) -+- * CometColumnarToRow (139) - +- CometProject (138) - +- CometFilter (137) - +- CometNativeScan parquet spark_catalog.default.date_dim (136) +BroadcastExchange (137) ++- * CometColumnarToRow (136) + +- CometProject (135) + +- CometFilter (134) + +- CometNativeScan parquet spark_catalog.default.date_dim (133) -(136) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#140] +(133) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#128] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(137) CometFilter -Input [2]: [d_date_sk#24, d_year#140] -Condition : (((isnotnull(d_year#140) AND (d_year#140 >= 1999)) AND (d_year#140 <= 2001)) AND isnotnull(d_date_sk#24)) +(134) CometFilter +Input [2]: [d_date_sk#24, d_year#128] +Condition : (((isnotnull(d_year#128) AND (d_year#128 >= 1999)) AND (d_year#128 <= 2001)) AND isnotnull(d_date_sk#24)) -(138) CometProject -Input [2]: [d_date_sk#24, d_year#140] +(135) CometProject +Input [2]: [d_date_sk#24, d_year#128] Arguments: [d_date_sk#24], [d_date_sk#24] -(139) CometColumnarToRow [codegen id : 1] +(136) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(140) BroadcastExchange +(137) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] @@ -811,12 +790,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 85 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:9 Hosting operator id = 83 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:10 Hosting operator id = 70 Hosting Expression = cs_sold_date_sk#60 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#58 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 102 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:11 Hosting operator id = 99 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:12 Hosting operator id = 87 Hosting Expression = ws_sold_date_sk#81 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#77 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/extended.txt index dfd3434d90..34f635b252 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/extended.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- Project - : +- Filter +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometProject + : +- CometFilter : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Union @@ -43,511 +43,508 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Project - : +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometProject + : +- CometFilter : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometProject + +- CometFilter : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 164 out of 458 eligible operators (35%). Final plan contains 93 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 179 out of 458 eligible operators (39%). Final plan contains 90 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/simplified.txt index c989fe9a81..587e20c015 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14a.native_datafusion/simplified.txt @@ -1,220 +1,209 @@ -TakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum(sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - Expand [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] - InputAdapter - Union - WholeStageCodegen (26) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] +WholeStageCodegen (76) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales),sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] + CometExpand [channel,i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] + CometUnion [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometProject [i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #13 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] InputAdapter - BroadcastExchange #4 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + BroadcastExchange #5 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #6 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #6 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #8 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + ReusedExchange [d_date_sk] #7 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (52) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 + BroadcastExchange #11 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (78) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/explain.txt index 563fa0a20b..4fcd889514 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,376 +393,366 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#59] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#57] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [ss_item_sk#59] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [ss_item_sk#57] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#60] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#58] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#64] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#62] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#64] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] -Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71, count(1)#72] -Results [6]: [store AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71 AS sales#74, count(1)#72 AS number_sales#75] - -(84) Filter [codegen id : 51] -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65] +Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Condition : (isnotnull(sales#70) AND (cast(sales#70 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#59, i_class_id#60, i_category_id#61], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#69,i_brand_id#59,i_class_id#60,i_category_id#61,sales#70,number_sales#71]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#78), dynamicpruningexpression(ss_sold_date_sk#78 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#74), dynamicpruningexpression(ss_sold_date_sk#74 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#79] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#75] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#78] -Right keys [1]: [d_date_sk#79] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#74] +Right keys [1]: [d_date_sk#75] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#76 AS quantity#80, ss_list_price#77 AS list_price#81] -Input [4]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78, d_date_sk#79] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#72 AS quantity#76, ss_list_price#73 AS list_price#77] +Input [4]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74, d_date_sk#75] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#84), dynamicpruningexpression(cs_sold_date_sk#84 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#80), dynamicpruningexpression(cs_sold_date_sk#80 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#85] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#81] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#84] -Right keys [1]: [d_date_sk#85] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#80] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#82 AS quantity#86, cs_list_price#83 AS list_price#87] -Input [4]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84, d_date_sk#85] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#78 AS quantity#82, cs_list_price#79 AS list_price#83] +Input [4]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80, d_date_sk#81] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#90), dynamicpruningexpression(ws_sold_date_sk#90 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#86), dynamicpruningexpression(ws_sold_date_sk#86 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#91] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#87] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#90] -Right keys [1]: [d_date_sk#91] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#86] +Right keys [1]: [d_date_sk#87] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#88 AS quantity#92, ws_list_price#89 AS list_price#93] -Input [4]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90, d_date_sk#91] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#84 AS quantity#88, ws_list_price#85 AS list_price#89] +Input [4]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86, d_date_sk#87] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#80, list_price#81] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#76, list_price#77] Keys: [] -Functions [1]: [partial_avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [2]: [sum#94, count#95] -Results [2]: [sum#96, count#97] - -(105) CometColumnarExchange -Input [2]: [sum#96, count#97] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] +Aggregate Attributes [2]: [sum#90, count#91] +Results [2]: [sum#92, count#93] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#96, count#97] +(104) CometColumnarExchange +Input [2]: [sum#92, count#93] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#96, count#97] +(105) CometHashAggregate +Input [2]: [sum#92, count#93] Keys: [] -Functions [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98] -Results [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98 AS average_sales#99] +Functions [1]: [avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#94] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#78 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#74 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#84 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#80 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#90 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#86 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#100] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#95] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#100] -Condition : ((isnotnull(d_week_seq#100) AND (d_week_seq#100 = Subquery scalar-subquery#101, [id=#102])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#95] +Condition : ((isnotnull(d_week_seq#95) AND (d_week_seq#95 = Subquery scalar-subquery#96, [id=#97])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#100] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#95] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = Subquery scalar-subquery#101, [id=#102] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:6 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#96, [id=#97] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,2000), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Condition : (((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND isnotnull(d_dom#106)) AND (d_year#104 = 2000)) AND (d_moy#105 = 12)) AND (d_dom#106 = 11)) +(113) CometFilter +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Condition : (((((isnotnull(d_year#99) AND isnotnull(d_moy#100)) AND isnotnull(d_dom#101)) AND (d_year#99 = 2000)) AND (d_moy#100 = 12)) AND (d_dom#101 = 11)) -(115) CometProject -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Arguments: [d_week_seq#103], [d_week_seq#103] +(114) CometProject +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Arguments: [d_week_seq#98], [d_week_seq#98] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#103] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#98] Subquery:7 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#107] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#102] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#107] -Condition : (((isnotnull(d_year#107) AND (d_year#107 >= 1999)) AND (d_year#107 <= 2001)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#102] +Condition : (((isnotnull(d_year#102) AND (d_year#102 >= 1999)) AND (d_year#102 <= 2001)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#107] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#102] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:8 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:9 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:10 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:10 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:11 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:11 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#64, d_week_seq#108] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#62, d_week_seq#103] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#64, d_week_seq#108] -Condition : ((isnotnull(d_week_seq#108) AND (d_week_seq#108 = Subquery scalar-subquery#109, [id=#110])) AND isnotnull(d_date_sk#64)) +(122) CometFilter +Input [2]: [d_date_sk#62, d_week_seq#103] +Condition : ((isnotnull(d_week_seq#103) AND (d_week_seq#103 = Subquery scalar-subquery#104, [id=#105])) AND isnotnull(d_date_sk#62)) -(124) CometProject -Input [2]: [d_date_sk#64, d_week_seq#108] -Arguments: [d_date_sk#64], [d_date_sk#64] +(123) CometProject +Input [2]: [d_date_sk#62, d_week_seq#103] +Arguments: [d_date_sk#62], [d_date_sk#62] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#64] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#62] -(126) BroadcastExchange -Input [1]: [d_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:12 Hosting operator id = 123 Hosting Expression = Subquery scalar-subquery#109, [id=#110] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:12 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#104, [id=#105] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Condition : (((((isnotnull(d_year#112) AND isnotnull(d_moy#113)) AND isnotnull(d_dom#114)) AND (d_year#112 = 1999)) AND (d_moy#113 = 12)) AND (d_dom#114 = 11)) +(127) CometFilter +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Condition : (((((isnotnull(d_year#107) AND isnotnull(d_moy#108)) AND isnotnull(d_dom#109)) AND (d_year#107 = 1999)) AND (d_moy#108 = 12)) AND (d_dom#109 = 11)) -(129) CometProject -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Arguments: [d_week_seq#111], [d_week_seq#111] +(128) CometProject +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Arguments: [d_week_seq#106], [d_week_seq#106] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#111] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#106] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/extended.txt index c4138c254a..04ce816165 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/extended.txt @@ -1,227 +1,226 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -401,4 +400,4 @@ TakeOrderedAndProject : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 333 eligible operators (38%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 333 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/simplified.txt index b0eae963c3..0e64c1111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q14b.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -163,44 +163,40 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/explain.txt index 594939616e..c3d1c69555 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -124,19 +124,17 @@ Results [2]: [ca_zip#11, sum#14] Input [2]: [ca_zip#11, sum#14] Arguments: hashpartitioning(ca_zip#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_zip#11, sum#14] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [2]: [ca_zip#11, sum#14] Keys [1]: [ca_zip#11] Functions [1]: [sum(UnscaledValue(cs_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#15] -Results [2]: [ca_zip#11, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#15,17,2) AS sum(cs_sales_price)#16] -(24) TakeOrderedAndProject -Input [2]: [ca_zip#11, sum(cs_sales_price)#16] -Arguments: 100, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#16] +(23) CometTakeOrderedAndProject +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#11 ASC NULLS FIRST], output=[ca_zip#11,sum(cs_sales_price)#15]), [ca_zip#11, sum(cs_sales_price)#15], 100, 0, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#15] + +(24) CometColumnarToRow [codegen id : 5] +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] ===== Subqueries ===== @@ -149,18 +147,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Output [3]: [d_date_sk#12, d_year#16, d_qoy#17] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] -Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#12)) +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] +Condition : ((((isnotnull(d_qoy#17) AND isnotnull(d_year#16)) AND (d_qoy#17 = 2)) AND (d_year#16 = 2001)) AND isnotnull(d_date_sk#12)) (27) CometProject -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] Arguments: [d_date_sk#12], [d_date_sk#12] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/extended.txt index 8ed98bc5cb..570e1d1fbc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/simplified.txt index f31442dcfe..89bd052905 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q15.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,sum(cs_sales_price)] - WholeStageCodegen (5) - HashAggregate [ca_zip,sum] [sum(UnscaledValue(cs_sales_price)),sum(cs_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,sum(cs_sales_price)] + CometHashAggregate [sum] [ca_zip,sum(cs_sales_price),sum(UnscaledValue(cs_sales_price))] CometColumnarExchange [ca_zip] #1 WholeStageCodegen (4) HashAggregate [ca_zip,cs_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/explain.txt index 5005b676fc..3ffc9e7f4e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Arguments: hashpartitioning(i_item_id#27, i_item_desc#26, s_state#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Keys [3]: [i_item_id#27, i_item_desc#26, s_state#23] Functions [9]: [count(ss_quantity#5), avg(ss_quantity#5), stddev_samp(cast(ss_quantity#5 as double)), count(sr_return_quantity#11), avg(sr_return_quantity#11), stddev_samp(cast(sr_return_quantity#11 as double)), count(cs_quantity#16), avg(cs_quantity#16), stddev_samp(cast(cs_quantity#16 as double))] -Aggregate Attributes [9]: [count(ss_quantity#5)#64, avg(ss_quantity#5)#65, stddev_samp(cast(ss_quantity#5 as double))#66, count(sr_return_quantity#11)#67, avg(sr_return_quantity#11)#68, stddev_samp(cast(sr_return_quantity#11 as double))#69, count(cs_quantity#16)#70, avg(cs_quantity#16)#71, stddev_samp(cast(cs_quantity#16 as double))#72] -Results [15]: [i_item_id#27, i_item_desc#26, s_state#23, count(ss_quantity#5)#64 AS store_sales_quantitycount#73, avg(ss_quantity#5)#65 AS store_sales_quantityave#74, stddev_samp(cast(ss_quantity#5 as double))#66 AS store_sales_quantitystdev#75, (stddev_samp(cast(ss_quantity#5 as double))#66 / avg(ss_quantity#5)#65) AS store_sales_quantitycov#76, count(sr_return_quantity#11)#67 AS as_store_returns_quantitycount#77, avg(sr_return_quantity#11)#68 AS as_store_returns_quantityave#78, stddev_samp(cast(sr_return_quantity#11 as double))#69 AS as_store_returns_quantitystdev#79, (stddev_samp(cast(sr_return_quantity#11 as double))#69 / avg(sr_return_quantity#11)#68) AS store_returns_quantitycov#80, count(cs_quantity#16)#70 AS catalog_sales_quantitycount#81, avg(cs_quantity#16)#71 AS catalog_sales_quantityave#82, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitystdev#83, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitycov#84] -(43) TakeOrderedAndProject -Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] -Arguments: 100, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] +(42) CometTakeOrderedAndProject +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#27 ASC NULLS FIRST,i_item_desc#26 ASC NULLS FIRST,s_state#23 ASC NULLS FIRST], output=[i_item_id#27,i_item_desc#26,s_state#23,store_sales_quantitycount#64,store_sales_quantityave#65,store_sales_quantitystdev#66,store_sales_quantitycov#67,as_store_returns_quantitycount#68,as_store_returns_quantityave#69,as_store_returns_quantitystdev#70,store_returns_quantitycov#71,catalog_sales_quantitycount#72,catalog_sales_quantityave#73,catalog_sales_quantitystdev#74,catalog_sales_quantitycov#75]), [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75], 100, 0, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] + +(43) CometColumnarToRow [codegen id : 9] +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#18, d_quarter_name#85] +Output [2]: [d_date_sk#18, d_quarter_name#76] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [2]: [d_date_sk#18, d_quarter_name#85] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#85, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#18)) +Input [2]: [d_date_sk#18, d_quarter_name#76] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#76, 6, true, false, true) = 2001Q1) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [2]: [d_date_sk#18, d_quarter_name#85] +Input [2]: [d_date_sk#18, d_quarter_name#76] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_quarter_name#86] +Output [2]: [d_date_sk#19, d_quarter_name#77] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [2]: [d_date_sk#19, d_quarter_name#86] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#86, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_quarter_name#77] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, d_quarter_name#77, 6, true, false, true) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [2]: [d_date_sk#19, d_quarter_name#86] +Input [2]: [d_date_sk#19, d_quarter_name#77] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/simplified.txt index c63dd716a1..85af2996da 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q17.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_state,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double)),store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] + CometHashAggregate [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double))] CometColumnarExchange [i_item_id,i_item_desc,s_state] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_state,ss_quantity,sr_return_quantity,cs_quantity] [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/explain.txt index 0503116eb3..a0f2a4d9c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Expand (41) @@ -246,19 +246,17 @@ Results [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_gro Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(44) CometColumnarToRow [codegen id : 8] -Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] - -(45) HashAggregate [codegen id : 8] +(44) CometHashAggregate Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Keys [5]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34] Functions [7]: [avg(cast(cs_quantity#4 as decimal(12,2))), avg(cast(cs_list_price#5 as decimal(12,2))), avg(cast(cs_coupon_amt#7 as decimal(12,2))), avg(cast(cs_sales_price#6 as decimal(12,2))), avg(cast(cs_net_profit#8 as decimal(12,2))), avg(cast(c_birth_year#19 as decimal(12,2))), avg(cast(cd_dep_count#14 as decimal(12,2)))] -Aggregate Attributes [7]: [avg(cast(cs_quantity#4 as decimal(12,2)))#63, avg(cast(cs_list_price#5 as decimal(12,2)))#64, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65, avg(cast(cs_sales_price#6 as decimal(12,2)))#66, avg(cast(cs_net_profit#8 as decimal(12,2)))#67, avg(cast(c_birth_year#19 as decimal(12,2)))#68, avg(cast(cd_dep_count#14 as decimal(12,2)))#69] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(cast(cs_quantity#4 as decimal(12,2)))#63 AS agg1#70, avg(cast(cs_list_price#5 as decimal(12,2)))#64 AS agg2#71, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65 AS agg3#72, avg(cast(cs_sales_price#6 as decimal(12,2)))#66 AS agg4#73, avg(cast(cs_net_profit#8 as decimal(12,2)))#67 AS agg5#74, avg(cast(c_birth_year#19 as decimal(12,2)))#68 AS agg6#75, avg(cast(cd_dep_count#14 as decimal(12,2)))#69 AS agg7#76] -(46) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] +(45) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#63,agg2#64,agg3#65,agg4#66,agg5#67,agg6#68,agg7#69]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] + +(46) CometColumnarToRow [codegen id : 8] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] ===== Subqueries ===== @@ -271,18 +269,18 @@ BroadcastExchange (51) (47) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#77] +Output [2]: [d_date_sk#26, d_year#70] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (48) CometFilter -Input [2]: [d_date_sk#26, d_year#77] -Condition : ((isnotnull(d_year#77) AND (d_year#77 = 1998)) AND isnotnull(d_date_sk#26)) +Input [2]: [d_date_sk#26, d_year#70] +Condition : ((isnotnull(d_year#70) AND (d_year#70 = 1998)) AND isnotnull(d_date_sk#26)) (49) CometProject -Input [2]: [d_date_sk#26, d_year#77] +Input [2]: [d_date_sk#26, d_year#70] Arguments: [d_date_sk#26], [d_date_sk#26] (50) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/extended.txt index b47fce49b3..da39e62cc0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -55,4 +55,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 21 out of 47 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/simplified.txt index 77a45c46cd..8eb5c052f8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q18.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2))),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2)))] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/explain.txt index c699bf18de..a301c4d5c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/simplified.txt index fb0ed62abe..76272d2780 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/explain.txt index 65cbe8c435..be81280257 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * Filter (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometFilter (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -125,23 +125,21 @@ Results [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Arguments: hashpartitioning(w_warehouse_name#7, i_item_id#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Keys [2]: [w_warehouse_name#7, i_item_id#11] Functions [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END), sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)] -Aggregate Attributes [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19] -Results [4]: [w_warehouse_name#7, i_item_id#11, sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18 AS inv_before#20, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19 AS inv_after#21] -(24) Filter [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Condition : (CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) <= 1.5) END) +(23) CometFilter +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Condition : (CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) <= 1.5) END) + +(24) CometTakeOrderedAndProject +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#7 ASC NULLS FIRST,i_item_id#11 ASC NULLS FIRST], output=[w_warehouse_name#7,i_item_id#11,inv_before#18,inv_after#19]), [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19], 100, 0, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] -(25) TakeOrderedAndProject -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Arguments: 100, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] +(25) CometColumnarToRow [codegen id : 5] +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/extended.txt index 51fcfd010a..e57bd3e7a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -32,4 +32,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 10 out of 27 eligible operators (37%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/simplified.txt index 94925f8911..b271d6e683 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q21.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] - WholeStageCodegen (5) - Filter [inv_before,inv_after] - HashAggregate [w_warehouse_name,i_item_id,sum,sum] [sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),inv_before,inv_after,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] + CometFilter [w_warehouse_name,i_item_id,inv_before,inv_after] + CometHashAggregate [sum,sum] [w_warehouse_name,i_item_id,inv_before,inv_after,sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END)] CometColumnarExchange [w_warehouse_name,i_item_id] #1 WholeStageCodegen (4) HashAggregate [w_warehouse_name,i_item_id,d_date,inv_quantity_on_hand] [sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/explain.txt index f25f305679..774063d308 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * HashAggregate (24) - +- * CometColumnarToRow (23) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometHashAggregate (23) +- CometColumnarExchange (22) +- * HashAggregate (21) +- * Expand (20) @@ -129,19 +129,17 @@ Results [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_gr Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Arguments: hashpartitioning(i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Keys [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#26] -Results [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, avg(inv_quantity_on_hand#3)#26 AS qoh#27] -(25) TakeOrderedAndProject -Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] -Arguments: 100, [qoh#27 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] +(24) CometTakeOrderedAndProject +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#26 ASC NULLS FIRST,i_product_name#17 ASC NULLS FIRST,i_brand#18 ASC NULLS FIRST,i_class#19 ASC NULLS FIRST,i_category#20 ASC NULLS FIRST], output=[i_product_name#17,i_brand#18,i_class#19,i_category#20,qoh#26]), [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26], 100, 0, [qoh#26 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] + +(25) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] ===== Subqueries ===== @@ -154,18 +152,18 @@ BroadcastExchange (30) (26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#28] +Output [2]: [d_date_sk#6, d_month_seq#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (27) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#28] -Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#6)) +Input [2]: [d_date_sk#6, d_month_seq#27] +Condition : (((isnotnull(d_month_seq#27) AND (d_month_seq#27 >= 1200)) AND (d_month_seq#27 <= 1211)) AND isnotnull(d_date_sk#6)) (28) CometProject -Input [2]: [d_date_sk#6, d_month_seq#28] +Input [2]: [d_date_sk#6, d_month_seq#27] Arguments: [d_date_sk#6], [d_date_sk#6] (29) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/extended.txt index 9b15a52cff..2f9297d93b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -34,4 +34,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 12 out of 29 eligible operators (41%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 29 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/simplified.txt index 092e187177..5b2368f30b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/explain.txt index 029c7fd3df..d75bb8a8fc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/explain.txt @@ -15,10 +15,10 @@ : : : :- * ColumnarToRow (2) : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : +- BroadcastExchange (21) - : : : +- * Project (20) - : : : +- * Filter (19) - : : : +- * HashAggregate (18) - : : : +- * CometColumnarToRow (17) + : : : +- * CometColumnarToRow (20) + : : : +- CometProject (19) + : : : +- CometFilter (18) + : : : +- CometHashAggregate (17) : : : +- CometColumnarExchange (16) : : : +- * HashAggregate (15) : : : +- * Project (14) @@ -147,31 +147,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(19) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(18) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(19) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(20) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(20) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (21) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (22) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -188,199 +186,199 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (26) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (27) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (28) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (29) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (30) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (31) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (32) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (33) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (34) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (35) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (36) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (37) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (38) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (39) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (40) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (41) CometProject Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] (42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (44) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (45) CometBroadcastExchange -Input [1]: [d_date_sk#30] -Arguments: [d_date_sk#30] +Input [1]: [d_date_sk#29] +Arguments: [d_date_sk#29] (46) CometBroadcastHashJoin Left output [3]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [d_date_sk#30] -Arguments: [cs_sold_date_sk#5], [d_date_sk#30], Inner, BuildRight +Right output [1]: [d_date_sk#29] +Arguments: [cs_sold_date_sk#5], [d_date_sk#29], Inner, BuildRight (47) CometProject -Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#30] -Arguments: [sales#33], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#33] +Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#29] +Arguments: [sales#32], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#32] (48) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#38), dynamicpruningexpression(ws_sold_date_sk#38 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#37), dynamicpruningexpression(ws_sold_date_sk#37 IN dynamicpruning#6)] ReadSchema: struct (49) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (50) ReusedExchange [Reuses operator id: 21] -Output [1]: [item_sk#39] +Output [1]: [item_sk#38] (51) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#34] -Right keys [1]: [item_sk#39] +Left keys [1]: [ws_item_sk#33] +Right keys [1]: [item_sk#38] Join type: LeftSemi Join condition: None (52) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (53) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: hashpartitioning(ws_bill_customer_sk#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: hashpartitioning(ws_bill_customer_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] (54) CometSort -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_bill_customer_sk#35 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_bill_customer_sk#34 ASC NULLS FIRST] (55) ReusedExchange [Reuses operator id: 35] -Output [3]: [c_customer_sk#40, sum#41, isEmpty#42] +Output [3]: [c_customer_sk#39, sum#40, isEmpty#41] (56) CometHashAggregate -Input [3]: [c_customer_sk#40, sum#41, isEmpty#42] -Keys [1]: [c_customer_sk#40] -Functions [1]: [sum((cast(ss_quantity#43 as decimal(10,0)) * ss_sales_price#44))] +Input [3]: [c_customer_sk#39, sum#40, isEmpty#41] +Keys [1]: [c_customer_sk#39] +Functions [1]: [sum((cast(ss_quantity#42 as decimal(10,0)) * ss_sales_price#43))] (57) CometFilter -Input [2]: [c_customer_sk#40, ssales#45] -Condition : (isnotnull(ssales#45) AND (cast(ssales#45 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#39, ssales#44] +Condition : (isnotnull(ssales#44) AND (cast(ssales#44 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (58) CometProject -Input [2]: [c_customer_sk#40, ssales#45] -Arguments: [c_customer_sk#40], [c_customer_sk#40] +Input [2]: [c_customer_sk#39, ssales#44] +Arguments: [c_customer_sk#39], [c_customer_sk#39] (59) CometSort -Input [1]: [c_customer_sk#40] -Arguments: [c_customer_sk#40], [c_customer_sk#40 ASC NULLS FIRST] +Input [1]: [c_customer_sk#39] +Arguments: [c_customer_sk#39], [c_customer_sk#39 ASC NULLS FIRST] (60) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [c_customer_sk#40] -Arguments: [ws_bill_customer_sk#35], [c_customer_sk#40], LeftSemi +Left output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [c_customer_sk#39] +Arguments: [ws_bill_customer_sk#34], [c_customer_sk#39], LeftSemi (61) CometProject -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (62) ReusedExchange [Reuses operator id: 45] -Output [1]: [d_date_sk#46] +Output [1]: [d_date_sk#45] (63) CometBroadcastHashJoin -Left output [3]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [d_date_sk#46] -Arguments: [ws_sold_date_sk#38], [d_date_sk#46], Inner, BuildRight +Left output [3]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [d_date_sk#45] +Arguments: [ws_sold_date_sk#37], [d_date_sk#45], Inner, BuildRight (64) CometProject -Input [4]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38, d_date_sk#46] -Arguments: [sales#47], [(cast(ws_quantity#36 as decimal(10,0)) * ws_list_price#37) AS sales#47] +Input [4]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37, d_date_sk#45] +Arguments: [sales#46], [(cast(ws_quantity#35 as decimal(10,0)) * ws_list_price#36) AS sales#46] (65) CometUnion -Child 0 Input [1]: [sales#33] -Child 1 Input [1]: [sales#47] +Child 0 Input [1]: [sales#32] +Child 1 Input [1]: [sales#46] (66) CometHashAggregate -Input [1]: [sales#33] +Input [1]: [sales#32] Keys: [] -Functions [1]: [partial_sum(sales#33)] +Functions [1]: [partial_sum(sales#32)] (67) CometExchange -Input [2]: [sum#48, isEmpty#49] +Input [2]: [sum#47, isEmpty#48] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (68) CometHashAggregate -Input [2]: [sum#48, isEmpty#49] +Input [2]: [sum#47, isEmpty#48] Keys: [] -Functions [1]: [sum(sales#33)] +Functions [1]: [sum(sales#32)] (69) CometColumnarToRow [codegen id : 11] -Input [1]: [sum(sales)#50] +Input [1]: [sum(sales)#49] ===== Subqueries ===== @@ -393,25 +391,25 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (72) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (73) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] (74) BroadcastExchange -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] Subquery:2 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -423,18 +421,18 @@ BroadcastExchange (79) (75) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#51] +Output [3]: [d_date_sk#10, d_date#11, d_year#50] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (76) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#51] -Condition : (d_year#51 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#50] +Condition : (d_year#50 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (77) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#51] +Input [3]: [d_date_sk#10, d_date#11, d_year#50] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (78) CometColumnarToRow [codegen id : 1] @@ -444,159 +442,149 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (99) -+- * CometColumnarToRow (98) - +- CometColumnarExchange (97) - +- * HashAggregate (96) - +- * HashAggregate (95) - +- * CometColumnarToRow (94) - +- CometColumnarExchange (93) - +- * HashAggregate (92) - +- * Project (91) - +- * BroadcastHashJoin Inner BuildRight (90) - :- * Project (88) - : +- * BroadcastHashJoin Inner BuildRight (87) - : :- * Filter (82) - : : +- * ColumnarToRow (81) - : : +- Scan parquet spark_catalog.default.store_sales (80) - : +- BroadcastExchange (86) - : +- * CometColumnarToRow (85) - : +- CometFilter (84) - : +- CometNativeScan parquet spark_catalog.default.customer (83) - +- ReusedExchange (89) +Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (98) ++- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- CometColumnarExchange (93) + +- * HashAggregate (92) + +- * Project (91) + +- * BroadcastHashJoin Inner BuildRight (90) + :- * Project (88) + : +- * BroadcastHashJoin Inner BuildRight (87) + : :- * Filter (82) + : : +- * ColumnarToRow (81) + : : +- Scan parquet spark_catalog.default.store_sales (80) + : +- BroadcastExchange (86) + : +- * CometColumnarToRow (85) + : +- CometFilter (84) + : +- CometNativeScan parquet spark_catalog.default.customer (83) + +- ReusedExchange (89) (80) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] +Output [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] +PartitionFilters: [isnotnull(ss_sold_date_sk#54), dynamicpruningexpression(ss_sold_date_sk#54 IN dynamicpruning#55)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (81) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] +Input [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] (82) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] -Condition : isnotnull(ss_customer_sk#52) +Input [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] +Condition : isnotnull(ss_customer_sk#51) (83) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#57] +Output [1]: [c_customer_sk#56] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (84) CometFilter -Input [1]: [c_customer_sk#57] -Condition : isnotnull(c_customer_sk#57) +Input [1]: [c_customer_sk#56] +Condition : isnotnull(c_customer_sk#56) (85) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#57] +Input [1]: [c_customer_sk#56] (86) BroadcastExchange -Input [1]: [c_customer_sk#57] +Input [1]: [c_customer_sk#56] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] (87) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#52] -Right keys [1]: [c_customer_sk#57] +Left keys [1]: [ss_customer_sk#51] +Right keys [1]: [c_customer_sk#56] Join type: Inner Join condition: None (88) Project [codegen id : 3] -Output [4]: [ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57] -Input [5]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57] +Output [4]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56] +Input [5]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56] -(89) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#58] +(89) ReusedExchange [Reuses operator id: 103] +Output [1]: [d_date_sk#57] (90) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#55] -Right keys [1]: [d_date_sk#58] +Left keys [1]: [ss_sold_date_sk#54] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None (91) Project [codegen id : 3] -Output [3]: [ss_quantity#53, ss_sales_price#54, c_customer_sk#57] -Input [5]: [ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57, d_date_sk#58] +Output [3]: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56] +Input [5]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56, d_date_sk#57] (92) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#53, ss_sales_price#54, c_customer_sk#57] -Keys [1]: [c_customer_sk#57] -Functions [1]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))] -Aggregate Attributes [2]: [sum#59, isEmpty#60] -Results [3]: [c_customer_sk#57, sum#61, isEmpty#62] +Input [3]: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56] +Keys [1]: [c_customer_sk#56] +Functions [1]: [partial_sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))] +Aggregate Attributes [2]: [sum#58, isEmpty#59] +Results [3]: [c_customer_sk#56, sum#60, isEmpty#61] (93) CometColumnarExchange -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] -Arguments: hashpartitioning(c_customer_sk#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +Input [3]: [c_customer_sk#56, sum#60, isEmpty#61] +Arguments: hashpartitioning(c_customer_sk#56, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(94) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] +(94) CometHashAggregate +Input [3]: [c_customer_sk#56, sum#60, isEmpty#61] +Keys [1]: [c_customer_sk#56] +Functions [1]: [sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))] -(95) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] -Keys [1]: [c_customer_sk#57] -Functions [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))#63] -Results [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))#63 AS csales#64] - -(96) HashAggregate [codegen id : 4] -Input [1]: [csales#64] +(95) CometHashAggregate +Input [1]: [csales#62] Keys: [] -Functions [1]: [partial_max(csales#64)] -Aggregate Attributes [1]: [max#65] -Results [1]: [max#66] - -(97) CometColumnarExchange -Input [1]: [max#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_max(csales#62)] -(98) CometColumnarToRow [codegen id : 5] -Input [1]: [max#66] +(96) CometExchange +Input [1]: [max#63] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(99) HashAggregate [codegen id : 5] -Input [1]: [max#66] +(97) CometHashAggregate +Input [1]: [max#63] Keys: [] -Functions [1]: [max(csales#64)] -Aggregate Attributes [1]: [max(csales#64)#67] -Results [1]: [max(csales#64)#67 AS tpcds_cmax#68] +Functions [1]: [max(csales#62)] + +(98) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#64] -Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#54 IN dynamicpruning#55 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometNativeScan parquet spark_catalog.default.date_dim (99) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#58, d_year#69] +(99) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#57, d_year#65] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#58, d_year#69] -Condition : (d_year#69 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#58)) +(100) CometFilter +Input [2]: [d_date_sk#57, d_year#65] +Condition : (d_year#65 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#57)) -(102) CometProject -Input [2]: [d_date_sk#58, d_year#69] -Arguments: [d_date_sk#58], [d_date_sk#58] +(101) CometProject +Input [2]: [d_date_sk#57, d_year#65] +Arguments: [d_date_sk#57], [d_date_sk#57] -(103) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#58] +(102) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#57] -(104) BroadcastExchange -Input [1]: [d_date_sk#58] +(103) BroadcastExchange +Input [1]: [d_date_sk#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#38 IN dynamicpruning#6 +Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#37 IN dynamicpruning#6 -Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/extended.txt index aadeb13f7b..2730656763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/extended.txt @@ -20,10 +20,10 @@ CometColumnarToRow : : : : +- CometFilter : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -52,36 +52,35 @@ CometColumnarToRow : : +- CometProject : : +- CometFilter : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : +- CometHashAggregate : : +- CometExchange : : +- CometHashAggregate @@ -109,10 +108,10 @@ CometColumnarToRow : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : +- ReusedSubquery : : +- BroadcastExchange - : : +- Project - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -157,4 +156,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 83 out of 138 eligible operators (60%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 92 out of 138 eligible operators (66%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/simplified.txt index d42a6ba29e..c28b364bd5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23a.native_datafusion/simplified.txt @@ -28,11 +28,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -65,44 +65,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/explain.txt index 6003575bd0..a5ab2e44db 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/explain.txt @@ -18,10 +18,10 @@ : : : : : +- * ColumnarToRow (2) : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : : +- BroadcastExchange (22) - : : : : +- * Project (21) - : : : : +- * Filter (20) - : : : : +- * HashAggregate (19) - : : : : +- * CometColumnarToRow (18) + : : : : +- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometHashAggregate (18) : : : : +- CometColumnarExchange (17) : : : : +- * HashAggregate (16) : : : : +- * Project (15) @@ -173,31 +173,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(18) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(19) HashAggregate [codegen id : 4] +(18) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(20) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(19) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(20) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(21) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(21) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (22) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -214,287 +212,287 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (27) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (28) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (29) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (30) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (31) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (32) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (33) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (34) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (35) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (36) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (37) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (38) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (39) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (40) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (41) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (42) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] +Output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Condition : isnotnull(c_customer_sk#30) +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Condition : isnotnull(c_customer_sk#29) (44) CometExchange -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: hashpartitioning(c_customer_sk#30, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: hashpartitioning(c_customer_sk#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (45) CometSort -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#31, c_last_name#32], [c_customer_sk#30 ASC NULLS FIRST] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#30, c_last_name#31], [c_customer_sk#29 ASC NULLS FIRST] (46) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#24, sum#25, isEmpty#26] +Output [3]: [c_customer_sk#23, sum#24, isEmpty#25] (47) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (48) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (49) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (50) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (51) CometSortMergeJoin -Left output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Right output [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#30], [c_customer_sk#24], LeftSemi +Left output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Right output [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#29], [c_customer_sk#23], LeftSemi (52) CometProject -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34], [c_customer_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#31, 20, true, false, true) AS c_first_name#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#32, 30, true, false, true) AS c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33], [c_customer_sk#29, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#30, 20, true, false, true) AS c_first_name#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#31, 30, true, false, true) AS c_last_name#33] (53) CometBroadcastExchange -Input [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33] (54) CometBroadcastHashJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#30], Inner, BuildRight +Right output [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#29], Inner, BuildRight (55) CometProject -Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] +Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] (56) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (57) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (58) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (59) CometBroadcastExchange -Input [1]: [d_date_sk#35] -Arguments: [d_date_sk#35] +Input [1]: [d_date_sk#34] +Arguments: [d_date_sk#34] (60) CometBroadcastHashJoin -Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] -Right output [1]: [d_date_sk#35] -Arguments: [cs_sold_date_sk#5], [d_date_sk#35], Inner, BuildRight +Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] +Right output [1]: [d_date_sk#34] +Arguments: [cs_sold_date_sk#5], [d_date_sk#34], Inner, BuildRight (61) CometProject -Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34, d_date_sk#35] -Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] +Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33, d_date_sk#34] +Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] (62) CometHashAggregate -Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [partial_sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (63) CometExchange -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Arguments: hashpartitioning(c_last_name#34, c_first_name#33, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Arguments: hashpartitioning(c_last_name#33, c_first_name#32, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (64) CometHashAggregate -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (65) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#6)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct (66) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (67) Filter [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#41) +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#40) (68) ReusedExchange [Reuses operator id: 22] -Output [1]: [item_sk#45] +Output [1]: [item_sk#44] (69) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#40] -Right keys [1]: [item_sk#45] +Left keys [1]: [ws_item_sk#39] +Right keys [1]: [item_sk#44] Join type: LeftSemi Join condition: None (70) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (71) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: hashpartitioning(ws_bill_customer_sk#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: hashpartitioning(ws_bill_customer_sk#40, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] (72) CometSort -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44], [ws_bill_customer_sk#41 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43], [ws_bill_customer_sk#40 ASC NULLS FIRST] (73) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#46, sum#47, isEmpty#48] +Output [3]: [c_customer_sk#45, sum#46, isEmpty#47] (74) CometHashAggregate -Input [3]: [c_customer_sk#46, sum#47, isEmpty#48] -Keys [1]: [c_customer_sk#46] -Functions [1]: [sum((cast(ss_quantity#49 as decimal(10,0)) * ss_sales_price#50))] +Input [3]: [c_customer_sk#45, sum#46, isEmpty#47] +Keys [1]: [c_customer_sk#45] +Functions [1]: [sum((cast(ss_quantity#48 as decimal(10,0)) * ss_sales_price#49))] (75) CometFilter -Input [2]: [c_customer_sk#46, ssales#51] -Condition : (isnotnull(ssales#51) AND (cast(ssales#51 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#45, ssales#50] +Condition : (isnotnull(ssales#50) AND (cast(ssales#50 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (76) CometProject -Input [2]: [c_customer_sk#46, ssales#51] -Arguments: [c_customer_sk#46], [c_customer_sk#46] +Input [2]: [c_customer_sk#45, ssales#50] +Arguments: [c_customer_sk#45], [c_customer_sk#45] (77) CometSort -Input [1]: [c_customer_sk#46] -Arguments: [c_customer_sk#46], [c_customer_sk#46 ASC NULLS FIRST] +Input [1]: [c_customer_sk#45] +Arguments: [c_customer_sk#45], [c_customer_sk#45 ASC NULLS FIRST] (78) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [1]: [c_customer_sk#46] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#46], LeftSemi +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [1]: [c_customer_sk#45] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#45], LeftSemi (79) ReusedExchange [Reuses operator id: 53] -Output [3]: [c_customer_sk#52, c_first_name#53, c_last_name#54] +Output [3]: [c_customer_sk#51, c_first_name#52, c_last_name#53] (80) CometBroadcastHashJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [3]: [c_customer_sk#52, c_first_name#53, c_last_name#54] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#52], Inner, BuildRight +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [3]: [c_customer_sk#51, c_first_name#52, c_last_name#53] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#51], Inner, BuildRight (81) CometProject -Input [7]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_customer_sk#52, c_first_name#53, c_last_name#54] -Arguments: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54], [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54] +Input [7]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_customer_sk#51, c_first_name#52, c_last_name#53] +Arguments: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53], [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53] (82) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#55] +Output [1]: [d_date_sk#54] (83) CometBroadcastHashJoin -Left output [5]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54] -Right output [1]: [d_date_sk#55] -Arguments: [ws_sold_date_sk#44], [d_date_sk#55], Inner, BuildRight +Left output [5]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53] +Right output [1]: [d_date_sk#54] +Arguments: [ws_sold_date_sk#43], [d_date_sk#54], Inner, BuildRight (84) CometProject -Input [6]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54, d_date_sk#55] -Arguments: [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54], [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54] +Input [6]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53, d_date_sk#54] +Arguments: [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53], [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53] (85) CometHashAggregate -Input [4]: [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54] -Keys [2]: [c_last_name#54, c_first_name#53] -Functions [1]: [partial_sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53] +Keys [2]: [c_last_name#53, c_first_name#52] +Functions [1]: [partial_sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (86) CometExchange -Input [4]: [c_last_name#54, c_first_name#53, sum#56, isEmpty#57] -Arguments: hashpartitioning(c_last_name#54, c_first_name#53, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +Input [4]: [c_last_name#53, c_first_name#52, sum#55, isEmpty#56] +Arguments: hashpartitioning(c_last_name#53, c_first_name#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] (87) CometHashAggregate -Input [4]: [c_last_name#54, c_first_name#53, sum#56, isEmpty#57] -Keys [2]: [c_last_name#54, c_first_name#53] -Functions [1]: [sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [c_last_name#53, c_first_name#52, sum#55, isEmpty#56] +Keys [2]: [c_last_name#53, c_first_name#52] +Functions [1]: [sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (88) CometUnion -Child 0 Input [3]: [c_last_name#34, c_first_name#33, sales#58] -Child 1 Input [3]: [c_last_name#54, c_first_name#53, sales#59] +Child 0 Input [3]: [c_last_name#33, c_first_name#32, sales#57] +Child 1 Input [3]: [c_last_name#53, c_first_name#52, sales#58] (89) CometTakeOrderedAndProject -Input [3]: [c_last_name#34, c_first_name#33, sales#58] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#34 ASC NULLS FIRST,c_first_name#33 ASC NULLS FIRST,sales#58 ASC NULLS FIRST], output=[c_last_name#34,c_first_name#33,sales#58]), [c_last_name#34, c_first_name#33, sales#58], 100, 0, [c_last_name#34 ASC NULLS FIRST, c_first_name#33 ASC NULLS FIRST, sales#58 ASC NULLS FIRST], [c_last_name#34, c_first_name#33, sales#58] +Input [3]: [c_last_name#33, c_first_name#32, sales#57] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#33 ASC NULLS FIRST,c_first_name#32 ASC NULLS FIRST,sales#57 ASC NULLS FIRST], output=[c_last_name#33,c_first_name#32,sales#57]), [c_last_name#33, c_first_name#32, sales#57], 100, 0, [c_last_name#33 ASC NULLS FIRST, c_first_name#32 ASC NULLS FIRST, sales#57 ASC NULLS FIRST], [c_last_name#33, c_first_name#32, sales#57] (90) CometColumnarToRow [codegen id : 11] -Input [3]: [c_last_name#34, c_first_name#33, sales#58] +Input [3]: [c_last_name#33, c_first_name#32, sales#57] ===== Subqueries ===== @@ -507,25 +505,25 @@ BroadcastExchange (95) (91) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (92) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (93) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (94) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] (95) BroadcastExchange -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] Subquery:2 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -537,18 +535,18 @@ BroadcastExchange (100) (96) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#60] +Output [3]: [d_date_sk#10, d_date#11, d_year#59] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (97) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#60] -Condition : (d_year#60 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#59] +Condition : (d_year#59 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (98) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#60] +Input [3]: [d_date_sk#10, d_date#11, d_year#59] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (99) CometColumnarToRow [codegen id : 1] @@ -558,161 +556,151 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (120) -+- * CometColumnarToRow (119) - +- CometColumnarExchange (118) - +- * HashAggregate (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * Filter (103) - : : +- * ColumnarToRow (102) - : : +- Scan parquet spark_catalog.default.store_sales (101) - : +- BroadcastExchange (107) - : +- * CometColumnarToRow (106) - : +- CometFilter (105) - : +- CometNativeScan parquet spark_catalog.default.customer (104) - +- ReusedExchange (110) +Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (119) ++- CometHashAggregate (118) + +- CometExchange (117) + +- CometHashAggregate (116) + +- CometHashAggregate (115) + +- CometColumnarExchange (114) + +- * HashAggregate (113) + +- * Project (112) + +- * BroadcastHashJoin Inner BuildRight (111) + :- * Project (109) + : +- * BroadcastHashJoin Inner BuildRight (108) + : :- * Filter (103) + : : +- * ColumnarToRow (102) + : : +- Scan parquet spark_catalog.default.store_sales (101) + : +- BroadcastExchange (107) + : +- * CometColumnarToRow (106) + : +- CometFilter (105) + : +- CometNativeScan parquet spark_catalog.default.customer (104) + +- ReusedExchange (110) (101) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] +Output [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#64), dynamicpruningexpression(ss_sold_date_sk#64 IN dynamicpruning#65)] +PartitionFilters: [isnotnull(ss_sold_date_sk#63), dynamicpruningexpression(ss_sold_date_sk#63 IN dynamicpruning#64)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (102) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] +Input [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] (103) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] -Condition : isnotnull(ss_customer_sk#61) +Input [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] +Condition : isnotnull(ss_customer_sk#60) (104) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#66] +Output [1]: [c_customer_sk#65] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (105) CometFilter -Input [1]: [c_customer_sk#66] -Condition : isnotnull(c_customer_sk#66) +Input [1]: [c_customer_sk#65] +Condition : isnotnull(c_customer_sk#65) (106) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#66] +Input [1]: [c_customer_sk#65] (107) BroadcastExchange -Input [1]: [c_customer_sk#66] +Input [1]: [c_customer_sk#65] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] (108) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#61] -Right keys [1]: [c_customer_sk#66] +Left keys [1]: [ss_customer_sk#60] +Right keys [1]: [c_customer_sk#65] Join type: Inner Join condition: None (109) Project [codegen id : 3] -Output [4]: [ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66] -Input [5]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66] +Output [4]: [ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65] +Input [5]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65] -(110) ReusedExchange [Reuses operator id: 125] -Output [1]: [d_date_sk#67] +(110) ReusedExchange [Reuses operator id: 124] +Output [1]: [d_date_sk#66] (111) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#64] -Right keys [1]: [d_date_sk#67] +Left keys [1]: [ss_sold_date_sk#63] +Right keys [1]: [d_date_sk#66] Join type: Inner Join condition: None (112) Project [codegen id : 3] -Output [3]: [ss_quantity#62, ss_sales_price#63, c_customer_sk#66] -Input [5]: [ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66, d_date_sk#67] +Output [3]: [ss_quantity#61, ss_sales_price#62, c_customer_sk#65] +Input [5]: [ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65, d_date_sk#66] (113) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#62, ss_sales_price#63, c_customer_sk#66] -Keys [1]: [c_customer_sk#66] -Functions [1]: [partial_sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))] -Aggregate Attributes [2]: [sum#68, isEmpty#69] -Results [3]: [c_customer_sk#66, sum#70, isEmpty#71] +Input [3]: [ss_quantity#61, ss_sales_price#62, c_customer_sk#65] +Keys [1]: [c_customer_sk#65] +Functions [1]: [partial_sum((cast(ss_quantity#61 as decimal(10,0)) * ss_sales_price#62))] +Aggregate Attributes [2]: [sum#67, isEmpty#68] +Results [3]: [c_customer_sk#65, sum#69, isEmpty#70] (114) CometColumnarExchange -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] -Arguments: hashpartitioning(c_customer_sk#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +Input [3]: [c_customer_sk#65, sum#69, isEmpty#70] +Arguments: hashpartitioning(c_customer_sk#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(115) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] +(115) CometHashAggregate +Input [3]: [c_customer_sk#65, sum#69, isEmpty#70] +Keys [1]: [c_customer_sk#65] +Functions [1]: [sum((cast(ss_quantity#61 as decimal(10,0)) * ss_sales_price#62))] -(116) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] -Keys [1]: [c_customer_sk#66] -Functions [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))#72] -Results [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))#72 AS csales#73] - -(117) HashAggregate [codegen id : 4] -Input [1]: [csales#73] +(116) CometHashAggregate +Input [1]: [csales#71] Keys: [] -Functions [1]: [partial_max(csales#73)] -Aggregate Attributes [1]: [max#74] -Results [1]: [max#75] - -(118) CometColumnarExchange -Input [1]: [max#75] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [1]: [partial_max(csales#71)] -(119) CometColumnarToRow [codegen id : 5] -Input [1]: [max#75] +(117) CometExchange +Input [1]: [max#72] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] -(120) HashAggregate [codegen id : 5] -Input [1]: [max#75] +(118) CometHashAggregate +Input [1]: [max#72] Keys: [] -Functions [1]: [max(csales#73)] -Aggregate Attributes [1]: [max(csales#73)#76] -Results [1]: [max(csales#73)#76 AS tpcds_cmax#77] +Functions [1]: [max(csales#71)] + +(119) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#73] -Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#64 IN dynamicpruning#65 -BroadcastExchange (125) -+- * CometColumnarToRow (124) - +- CometProject (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#63 IN dynamicpruning#64 +BroadcastExchange (124) ++- * CometColumnarToRow (123) + +- CometProject (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(121) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#67, d_year#78] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#66, d_year#74] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter -Input [2]: [d_date_sk#67, d_year#78] -Condition : (d_year#78 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#67)) +(121) CometFilter +Input [2]: [d_date_sk#66, d_year#74] +Condition : (d_year#74 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#66)) -(123) CometProject -Input [2]: [d_date_sk#67, d_year#78] -Arguments: [d_date_sk#67], [d_date_sk#67] +(122) CometProject +Input [2]: [d_date_sk#66, d_year#74] +Arguments: [d_date_sk#66], [d_date_sk#66] -(124) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#67] +(123) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#66] -(125) BroadcastExchange -Input [1]: [d_date_sk#67] +(124) BroadcastExchange +Input [1]: [d_date_sk#66] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] -Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#6 +Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#6 -Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/extended.txt index d41bf0802a..43350a34d4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/extended.txt @@ -23,10 +23,10 @@ CometColumnarToRow : : : : : +- CometFilter : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- Filter - : : : : +- HashAggregate - : : : : +- CometColumnarToRow + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometHashAggregate : : : : +- CometColumnarExchange : : : : +- HashAggregate : : : : +- Project @@ -55,36 +55,35 @@ CometColumnarToRow : : : +- CometProject : : : +- CometFilter : : : : +- Subquery - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- CometHashAggregate : : : +- CometExchange : : : +- CometHashAggregate @@ -139,10 +138,10 @@ CometColumnarToRow : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : : +- ReusedSubquery : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -209,4 +208,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 131 out of 190 eligible operators (68%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 140 out of 190 eligible operators (73%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/simplified.txt index 41f01311f8..60f316ac02 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q23b.native_datafusion/simplified.txt @@ -31,11 +31,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -68,44 +68,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/explain.txt index 67a43617c7..c4feeab256 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/explain.txt index c6e3a30a1f..b1e8f2b578 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/explain.txt index c6e3a30a1f..b1e8f2b578 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24a/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/explain.txt index 65c5d9d521..39544f2c9a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/explain.txt index a77a3f88b3..9dd9f705b6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/explain.txt index a77a3f88b3..9dd9f705b6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#15, s_zip#16] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#15, s_zip#16] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Condition : isnotnull(i_item_sk#58) +(57) CometFilter +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Condition : isnotnull(i_item_sk#54) -(59) CometProject -Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [i_item_sk#58, i_current_price#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#60, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#61, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#62, 10, true, false, true) AS i_units#25, i_manager_id#63] +(58) CometProject +Input [6]: [i_item_sk#54, i_current_price#55, i_size#56, i_color#57, i_units#58, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [i_item_sk#54, i_current_price#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#56, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#57, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#58, 10, true, false, true) AS i_units#25, i_manager_id#59] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_item_sk#49], [i_item_sk#58], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_item_sk#45], [i_item_sk#54], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_item_sk#58, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_item_sk#54, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63] -Right output [4]: [c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_customer_sk#50], [c_customer_sk#64], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59] +Right output [4]: [c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_customer_sk#46], [c_customer_sk#60], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_customer_sk#64, c_first_name#30, c_last_name#31, c_birth_country#65] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65], [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_customer_sk#60, c_first_name#30, c_last_name#31, c_birth_country#61] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61], [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#35, ca_zip#36, ca_country#66] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#35, ca_zip#36, ca_country#62] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#65, s_zip#16] -Right keys [2]: [upper(ca_country#66), ca_zip#36] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#61, s_zip#16] +Right keys [2]: [upper(ca_country#62), ca_zip#36] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#15, s_zip#16, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, c_birth_country#65, ca_state#35, ca_zip#36, ca_country#66] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#15, i_current_price#59, i_size#23, i_color#24, i_units#25, i_manager_id#63, c_first_name#30, c_last_name#31, ca_state#35] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#67] -Results [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(71) CometColumnarExchange -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23, sum#68] -Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#57, ca_state#35, s_state#15, i_color#24, i_current_price#59, i_manager_id#63, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#69] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#69] -Keys: [] -Functions [1]: [partial_avg(netpaid#69)] -Aggregate Attributes [2]: [sum#70, count#71] -Results [2]: [sum#72, count#73] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#15, s_zip#16, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, c_birth_country#61, ca_state#35, ca_zip#36, ca_country#62] -(75) CometColumnarExchange -Input [2]: [sum#72, count#73] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#15, i_current_price#55, i_size#23, i_color#24, i_units#25, i_manager_id#59, c_first_name#30, c_last_name#31, ca_state#35] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#63] +Results [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#72, count#73] +(70) CometColumnarExchange +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#72, count#73] +(71) CometHashAggregate +Input [11]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23, sum#64] +Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#53, ca_state#35, s_state#15, i_color#24, i_current_price#55, i_manager_id#59, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#65] Keys: [] -Functions [1]: [avg(netpaid#69)] -Aggregate Attributes [1]: [avg(netpaid#69)#74] -Results [1]: [(0.05 * avg(netpaid#69)#74) AS (0.05 * avg(netpaid))#75] +Functions [1]: [partial_avg(netpaid#65)] + +(73) CometExchange +Input [2]: [sum#66, count#67] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#66, count#67] +Keys: [] +Functions [1]: [avg(netpaid#65)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#68] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q24b/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/explain.txt index 15bdd29f61..fb667d0af5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum# Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Arguments: hashpartitioning(i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Keys [4]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23] Functions [3]: [sum(UnscaledValue(ss_net_profit#5)), sum(UnscaledValue(sr_net_loss#11)), sum(UnscaledValue(cs_net_profit#16))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_net_profit#5))#35, sum(UnscaledValue(sr_net_loss#11))#36, sum(UnscaledValue(cs_net_profit#16))#37] -Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#5))#35,17,2) AS store_sales_profit#38, MakeDecimal(sum(UnscaledValue(sr_net_loss#11))#36,17,2) AS store_returns_loss#39, MakeDecimal(sum(UnscaledValue(cs_net_profit#16))#37,17,2) AS catalog_sales_profit#40] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] -Arguments: 100, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#28 ASC NULLS FIRST,i_item_desc#27 ASC NULLS FIRST,s_store_id#24 ASC NULLS FIRST,s_store_name#23 ASC NULLS FIRST], output=[i_item_id#28,i_item_desc#27,s_store_id#24,s_store_name#23,store_sales_profit#35,store_returns_loss#36,catalog_sales_profit#37]), [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37], 100, 0, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#41, d_moy#42] +Output [3]: [d_date_sk#18, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,4), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 4)) AND (d_year#41 = 2001)) AND isnotnull(d_date_sk#18)) +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 4)) AND (d_year#38 = 2001)) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#43, d_moy#44] +Output [3]: [d_date_sk#19, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,10), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] -Condition : (((((isnotnull(d_moy#44) AND isnotnull(d_year#43)) AND (d_moy#44 >= 4)) AND (d_moy#44 <= 10)) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] +Condition : (((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 >= 4)) AND (d_moy#41 <= 10)) AND (d_year#40 = 2001)) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/simplified.txt index 288561a740..26085c6da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q25.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit)),store_sales_profit,store_returns_loss,catalog_sales_profit,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_net_profit,sr_net_loss,cs_net_profit] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/explain.txt index fb4c487ea9..bed2be1df2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(cs_quantity#4), avg(UnscaledValue(cs_list_price#5)), avg(UnscaledValue(cs_coupon_amt#7)), avg(UnscaledValue(cs_sales_price#6))] -Aggregate Attributes [4]: [avg(cs_quantity#4)#37, avg(UnscaledValue(cs_list_price#5))#38, avg(UnscaledValue(cs_coupon_amt#7))#39, avg(UnscaledValue(cs_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(cs_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(cs_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(cs_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(cs_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/extended.txt index 3b9d40795e..216a543cb5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/simplified.txt index 7eb9c67611..d18819295b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q26.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/explain.txt index b9e3e82684..238d894725 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (33) -+- * HashAggregate (32) - +- * CometColumnarToRow (31) +* CometColumnarToRow (33) ++- CometTakeOrderedAndProject (32) + +- CometHashAggregate (31) +- CometColumnarExchange (30) +- * HashAggregate (29) +- * Expand (28) @@ -173,19 +173,17 @@ Results [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Arguments: hashpartitioning(i_item_id#21, s_state#22, spark_grouping_id#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(31) CometColumnarToRow [codegen id : 6] -Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] - -(32) HashAggregate [codegen id : 6] +(31) CometHashAggregate Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Keys [3]: [i_item_id#21, s_state#22, spark_grouping_id#23] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#40, avg(UnscaledValue(ss_list_price#5))#41, avg(UnscaledValue(ss_coupon_amt#7))#42, avg(UnscaledValue(ss_sales_price#6))#43] -Results [7]: [i_item_id#21, s_state#22, cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint) AS g_state#44, avg(ss_quantity#4)#40 AS agg1#45, cast((avg(UnscaledValue(ss_list_price#5))#41 / 100.0) as decimal(11,6)) AS agg2#46, cast((avg(UnscaledValue(ss_coupon_amt#7))#42 / 100.0) as decimal(11,6)) AS agg3#47, cast((avg(UnscaledValue(ss_sales_price#6))#43 / 100.0) as decimal(11,6)) AS agg4#48] -(33) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] +(32) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#40,agg1#41,agg2#42,agg3#43,agg4#44]), [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] + +(33) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] ===== Subqueries ===== @@ -198,18 +196,18 @@ BroadcastExchange (38) (34) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#49] +Output [2]: [d_date_sk#14, d_year#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct (35) CometFilter -Input [2]: [d_date_sk#14, d_year#49] -Condition : ((isnotnull(d_year#49) AND (d_year#49 = 2002)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#45] +Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2002)) AND isnotnull(d_date_sk#14)) (36) CometProject -Input [2]: [d_date_sk#14, d_year#49] +Input [2]: [d_date_sk#14, d_year#45] Arguments: [d_date_sk#14], [d_date_sk#14] (37) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/extended.txt index a4946e4771..798ce46d67 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -42,4 +42,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 16 out of 36 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 36 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/simplified.txt index dcb4953707..3a5aa3455b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q27.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,spark_grouping_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,spark_grouping_id,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id,s_state,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,spark_grouping_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/explain.txt index 20f1508413..a1008488cb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum# Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Arguments: hashpartitioning(i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Keys [4]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24] Functions [3]: [sum(ss_quantity#5), sum(sr_return_quantity#11), sum(cs_quantity#16)] -Aggregate Attributes [3]: [sum(ss_quantity#5)#36, sum(sr_return_quantity#11)#37, sum(cs_quantity#16)#38] -Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum(ss_quantity#5)#36 AS store_sales_quantity#39, sum(sr_return_quantity#11)#37 AS store_returns_quantity#40, sum(cs_quantity#16)#38 AS catalog_sales_quantity#41] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] -Arguments: 100, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#29 ASC NULLS FIRST,i_item_desc#28 ASC NULLS FIRST,s_store_id#25 ASC NULLS FIRST,s_store_name#24 ASC NULLS FIRST], output=[i_item_id#29,i_item_desc#28,s_store_id#25,s_store_name#24,store_sales_quantity#36,store_returns_quantity#37,catalog_sales_quantity#38]), [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38], 100, 0, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#42, d_moy#43] +Output [3]: [d_date_sk#19, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] -Condition : ((((isnotnull(d_moy#43) AND isnotnull(d_year#42)) AND (d_moy#43 = 9)) AND (d_year#42 = 1999)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_moy#40) AND isnotnull(d_year#39)) AND (d_moy#40 = 9)) AND (d_year#39 = 1999)) AND isnotnull(d_date_sk#19)) (46) CometProject -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] Arguments: [d_date_sk#19], [d_date_sk#19] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#20, d_year#44, d_moy#45] +Output [3]: [d_date_sk#20, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] -Condition : (((((isnotnull(d_moy#45) AND isnotnull(d_year#44)) AND (d_moy#45 >= 9)) AND (d_moy#45 <= 12)) AND (d_year#44 = 1999)) AND isnotnull(d_date_sk#20)) +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] +Condition : (((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 >= 9)) AND (d_moy#42 <= 12)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#20)) (51) CometProject -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] Arguments: [d_date_sk#20], [d_date_sk#20] (52) CometColumnarToRow [codegen id : 1] @@ -316,18 +314,18 @@ BroadcastExchange (58) (54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#21, d_year#46] +Output [2]: [d_date_sk#21, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct (55) CometFilter -Input [2]: [d_date_sk#21, d_year#46] -Condition : (d_year#46 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) +Input [2]: [d_date_sk#21, d_year#43] +Condition : (d_year#43 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) (56) CometProject -Input [2]: [d_date_sk#21, d_year#46] +Input [2]: [d_date_sk#21, d_year#43] Arguments: [d_date_sk#21], [d_date_sk#21] (57) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/extended.txt index dacaab515f..43564057a5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -72,4 +72,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 25 out of 61 eligible operators (40%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 27 out of 61 eligible operators (44%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/simplified.txt index 54bdbeeb5a..d60e5604ed 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q29.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity),store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity)] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_quantity,sr_return_quantity,cs_quantity] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/explain.txt index b3dd4f1415..a243a6f919 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.web_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.web_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.web_returns @@ -70,7 +66,7 @@ Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] Condition : (isnotnull(wr_returning_addr_sk#2) AND isnotnull(wr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,221 +122,198 @@ Results [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(wr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [wr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(wr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#3))#12] -Results [3]: [wr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(wr_return_amt#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] +(18) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#19), dynamicpruningexpression(wr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#18), dynamicpruningexpression(wr_returned_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] +(19) ColumnarToRow [codegen id : 6] +Input [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] -(21) Filter [codegen id : 6] -Input [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] -Condition : isnotnull(wr_returning_addr_sk#17) +(20) Filter [codegen id : 6] +Input [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] +Condition : isnotnull(wr_returning_addr_sk#16) -(22) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#20] +(21) ReusedExchange [Reuses operator id: 55] +Output [1]: [d_date_sk#19] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [wr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [wr_returned_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18] -Input [5]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19, d_date_sk#20] +(23) Project [codegen id : 6] +Output [3]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17] +Input [5]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18, d_date_sk#19] -(25) ReusedExchange [Reuses operator id: 11] -Output [2]: [ca_address_sk#21, ca_state#9] +(24) ReusedExchange [Reuses operator id: 11] +Output [2]: [ca_address_sk#20, ca_state#9] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [wr_returning_addr_sk#17] -Right keys [1]: [ca_address_sk#21] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [wr_returning_addr_sk#16] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [3]: [wr_returning_customer_sk#16, wr_return_amt#18, ca_state#9] -Input [5]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, ca_address_sk#21, ca_state#9] - -(28) HashAggregate [codegen id : 6] -Input [3]: [wr_returning_customer_sk#16, wr_return_amt#18, ca_state#9] -Keys [2]: [wr_returning_customer_sk#16, ca_state#9] -Functions [1]: [partial_sum(UnscaledValue(wr_return_amt#18))] -Aggregate Attributes [1]: [sum#22] -Results [3]: [wr_returning_customer_sk#16, ca_state#9, sum#23] - -(29) CometColumnarExchange -Input [3]: [wr_returning_customer_sk#16, ca_state#9, sum#23] -Arguments: hashpartitioning(wr_returning_customer_sk#16, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [wr_returning_customer_sk#16, ca_state#9, sum#23] - -(31) HashAggregate [codegen id : 7] -Input [3]: [wr_returning_customer_sk#16, ca_state#9, sum#23] -Keys [2]: [wr_returning_customer_sk#16, ca_state#9] -Functions [1]: [sum(UnscaledValue(wr_return_amt#18))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#18))#12] -Results [2]: [ca_state#9 AS ctr_state#24, MakeDecimal(sum(UnscaledValue(wr_return_amt#18))#12,17,2) AS ctr_total_return#25] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#24, ctr_total_return#25] -Keys [1]: [ctr_state#24] -Functions [1]: [partial_avg(ctr_total_return#25)] -Aggregate Attributes [2]: [sum#26, count#27] -Results [3]: [ctr_state#24, sum#28, count#29] - -(33) CometColumnarExchange -Input [3]: [ctr_state#24, sum#28, count#29] -Arguments: hashpartitioning(ctr_state#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#24, sum#28, count#29] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#24, sum#28, count#29] -Keys [1]: [ctr_state#24] -Functions [1]: [avg(ctr_total_return#25)] -Aggregate Attributes [1]: [avg(ctr_total_return#25)#30] -Results [2]: [(avg(ctr_total_return#25)#30 * 1.2) AS (avg(ctr_total_return) * 1.2)#31, ctr_state#24] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#31, ctr_state#24] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#31) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#31, ctr_state#24] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#24] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#31) - -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#31, ctr_state#24] - -(40) CometNativeScan parquet spark_catalog.default.customer -Output [14]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#43, c_email_address#44, c_last_review_date#45] +(26) Project [codegen id : 6] +Output [3]: [wr_returning_customer_sk#15, wr_return_amt#17, ca_state#9] +Input [5]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, ca_address_sk#20, ca_state#9] + +(27) HashAggregate [codegen id : 6] +Input [3]: [wr_returning_customer_sk#15, wr_return_amt#17, ca_state#9] +Keys [2]: [wr_returning_customer_sk#15, ca_state#9] +Functions [1]: [partial_sum(UnscaledValue(wr_return_amt#17))] +Aggregate Attributes [1]: [sum#21] +Results [3]: [wr_returning_customer_sk#15, ca_state#9, sum#22] + +(28) CometColumnarExchange +Input [3]: [wr_returning_customer_sk#15, ca_state#9, sum#22] +Arguments: hashpartitioning(wr_returning_customer_sk#15, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [3]: [wr_returning_customer_sk#15, ca_state#9, sum#22] +Keys [2]: [wr_returning_customer_sk#15, ca_state#9] +Functions [1]: [sum(UnscaledValue(wr_return_amt#17))] + +(30) CometHashAggregate +Input [2]: [ctr_state#23, ctr_total_return#24] +Keys [1]: [ctr_state#23] +Functions [1]: [partial_avg(ctr_total_return#24)] + +(31) CometExchange +Input [3]: [ctr_state#23, sum#25, count#26] +Arguments: hashpartitioning(ctr_state#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#23, sum#25, count#26] +Keys [1]: [ctr_state#23] +Functions [1]: [avg(ctr_total_return#24)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#27) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [ctr_state#13], [ctr_state#23], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#27), BuildRight + +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [14]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#39, c_email_address#40, c_last_review_date#41] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [14]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#43, c_email_address#44, c_last_review_date#45] -Condition : (isnotnull(c_customer_sk#32) AND isnotnull(c_current_addr_sk#34)) - -(42) CometProject -Input [14]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#43, c_email_address#44, c_last_review_date#45] -Arguments: [c_customer_sk#32, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45], [c_customer_sk#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#33, 16, true, false, true) AS c_customer_id#46, c_current_addr_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#35, 10, true, false, true) AS c_salutation#47, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#49, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#38, 1, true, false, true) AS c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#43, 13, true, false, true) AS c_login#51, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#44, 50, true, false, true) AS c_email_address#52, c_last_review_date#45] +(38) CometFilter +Input [14]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#39, c_email_address#40, c_last_review_date#41] +Condition : (isnotnull(c_customer_sk#28) AND isnotnull(c_current_addr_sk#30)) -(43) CometColumnarToRow [codegen id : 9] -Input [14]: [c_customer_sk#32, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45] +(39) CometProject +Input [14]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#39, c_email_address#40, c_last_review_date#41] +Arguments: [c_customer_sk#28, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41], [c_customer_sk#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#29, 16, true, false, true) AS c_customer_id#42, c_current_addr_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#31, 10, true, false, true) AS c_salutation#43, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#32, 20, true, false, true) AS c_first_name#44, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#33, 30, true, false, true) AS c_last_name#45, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#34, 1, true, false, true) AS c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#39, 13, true, false, true) AS c_login#47, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#40, 50, true, false, true) AS c_email_address#48, c_last_review_date#41] -(44) BroadcastExchange -Input [14]: [c_customer_sk#32, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [14]: [c_customer_sk#28, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] +Arguments: [c_customer_sk#28, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#32] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [14]: [c_customer_sk#28, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] +Arguments: [ctr_customer_sk#12], [c_customer_sk#28], Inner, BuildRight -(46) Project [codegen id : 11] -Output [14]: [ctr_total_return#15, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45] -Input [16]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#32, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45] +(42) CometProject +Input [16]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#28, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] +Arguments: [ctr_total_return#14, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41], [ctr_total_return#14, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#53, ca_state#54] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#49, ca_state#50] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [2]: [ca_address_sk#53, ca_state#54] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#54, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#53)) +(44) CometFilter +Input [2]: [ca_address_sk#49, ca_state#50] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#50, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#49)) -(49) CometProject -Input [2]: [ca_address_sk#53, ca_state#54] -Arguments: [ca_address_sk#53], [ca_address_sk#53] +(45) CometProject +Input [2]: [ca_address_sk#49, ca_state#50] +Arguments: [ca_address_sk#49], [ca_address_sk#49] -(50) CometColumnarToRow [codegen id : 10] -Input [1]: [ca_address_sk#53] +(46) CometBroadcastExchange +Input [1]: [ca_address_sk#49] +Arguments: [ca_address_sk#49] -(51) BroadcastExchange -Input [1]: [ca_address_sk#53] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [14]: [ctr_total_return#14, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41] +Right output [1]: [ca_address_sk#49] +Arguments: [c_current_addr_sk#30], [ca_address_sk#49], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#34] -Right keys [1]: [ca_address_sk#53] -Join type: Inner -Join condition: None +(48) CometProject +Input [15]: [ctr_total_return#14, c_customer_id#42, c_current_addr_sk#30, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ca_address_sk#49] +Arguments: [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14], [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [13]: [c_customer_id#46, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45, ctr_total_return#15] -Input [15]: [ctr_total_return#15, c_customer_id#46, c_current_addr_sk#34, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45, ca_address_sk#53] +(49) CometTakeOrderedAndProject +Input [13]: [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#42 ASC NULLS FIRST,c_salutation#43 ASC NULLS FIRST,c_first_name#44 ASC NULLS FIRST,c_last_name#45 ASC NULLS FIRST,c_preferred_cust_flag#46 ASC NULLS FIRST,c_birth_day#35 ASC NULLS FIRST,c_birth_month#36 ASC NULLS FIRST,c_birth_year#37 ASC NULLS FIRST,c_birth_country#38 ASC NULLS FIRST,c_login#47 ASC NULLS FIRST,c_email_address#48 ASC NULLS FIRST,c_last_review_date#41 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#42,c_salutation#43,c_first_name#44,c_last_name#45,c_preferred_cust_flag#46,c_birth_day#35,c_birth_month#36,c_birth_year#37,c_birth_country#38,c_login#47,c_email_address#48,c_last_review_date#41,ctr_total_return#14]), [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14], 100, 0, [c_customer_id#42 ASC NULLS FIRST, c_salutation#43 ASC NULLS FIRST, c_first_name#44 ASC NULLS FIRST, c_last_name#45 ASC NULLS FIRST, c_preferred_cust_flag#46 ASC NULLS FIRST, c_birth_day#35 ASC NULLS FIRST, c_birth_month#36 ASC NULLS FIRST, c_birth_year#37 ASC NULLS FIRST, c_birth_country#38 ASC NULLS FIRST, c_login#47 ASC NULLS FIRST, c_email_address#48 ASC NULLS FIRST, c_last_review_date#41 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [13]: [c_customer_id#46, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45, ctr_total_return#15] -Arguments: 100, [c_customer_id#46 ASC NULLS FIRST, c_salutation#47 ASC NULLS FIRST, c_first_name#48 ASC NULLS FIRST, c_last_name#49 ASC NULLS FIRST, c_preferred_cust_flag#50 ASC NULLS FIRST, c_birth_day#39 ASC NULLS FIRST, c_birth_month#40 ASC NULLS FIRST, c_birth_year#41 ASC NULLS FIRST, c_birth_country#42 ASC NULLS FIRST, c_login#51 ASC NULLS FIRST, c_email_address#52 ASC NULLS FIRST, c_last_review_date#45 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#46, c_salutation#47, c_first_name#48, c_last_name#49, c_preferred_cust_flag#50, c_birth_day#39, c_birth_month#40, c_birth_year#41, c_birth_country#42, c_login#51, c_email_address#52, c_last_review_date#45, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [13]: [c_customer_id#42, c_salutation#43, c_first_name#44, c_last_name#45, c_preferred_cust_flag#46, c_birth_day#35, c_birth_month#36, c_birth_year#37, c_birth_country#38, c_login#47, c_email_address#48, c_last_review_date#41, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = wr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#55] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#51] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#55] -Condition : ((isnotnull(d_year#55) AND (d_year#55 = 2002)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#51] +Condition : ((isnotnull(d_year#51) AND (d_year#51 = 2002)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#55] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#51] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = wr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = wr_returned_date_sk#18 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/extended.txt index 8373409822..8b414fe2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/simplified.txt index 72b6fbd1ba..d82fa88cfa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q30.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ca_address_sk] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,wr_returning_customer_sk,ca_state,sum(UnscaledValue(wr_return_amt))] CometColumnarExchange [wr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_pre CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] - Project [wr_returning_customer_sk,wr_return_amt,ca_state] - BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] - Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return)] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [wr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(wr_return_amt))] + CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] + Project [wr_returning_customer_sk,wr_return_amt,ca_state] + BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] + Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastExchange [ca_address_sk] #8 + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/explain.txt index 9ce8c738e8..5dab9eb583 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/explain.txt @@ -1,101 +1,95 @@ == Physical Plan == -* CometColumnarToRow (97) -+- CometSort (96) - +- CometColumnarExchange (95) - +- * Project (94) - +- * BroadcastHashJoin Inner BuildRight (93) - :- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (47) - : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : :- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * HashAggregate (16) - : : : : : +- * CometColumnarToRow (15) - : : : : : +- CometColumnarExchange (14) - : : : : : +- * HashAggregate (13) - : : : : : +- * Project (12) - : : : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : : : :- * Project (6) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : : +- ReusedExchange (4) - : : : : : +- BroadcastExchange (10) - : : : : : +- * CometColumnarToRow (9) - : : : : : +- CometFilter (8) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : : : +- BroadcastExchange (30) - : : : : +- * HashAggregate (29) - : : : : +- * CometColumnarToRow (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (22) - : : : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : : : :- * Filter (19) - : : : : : : +- * ColumnarToRow (18) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (17) - : : : : : +- ReusedExchange (20) - : : : : +- ReusedExchange (23) - : : : +- BroadcastExchange (45) - : : : +- * HashAggregate (44) - : : : +- * CometColumnarToRow (43) - : : : +- CometColumnarExchange (42) - : : : +- * HashAggregate (41) - : : : +- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (61) - : : +- * HashAggregate (60) - : : +- * CometColumnarToRow (59) - : : +- CometColumnarExchange (58) - : : +- * HashAggregate (57) - : : +- * Project (56) - : : +- * BroadcastHashJoin Inner BuildRight (55) - : : :- * Project (53) - : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : :- * Filter (50) - : : : : +- * ColumnarToRow (49) - : : : : +- Scan parquet spark_catalog.default.web_sales (48) - : : : +- ReusedExchange (51) - : : +- ReusedExchange (54) - : +- BroadcastExchange (76) - : +- * HashAggregate (75) - : +- * CometColumnarToRow (74) - : +- CometColumnarExchange (73) - : +- * HashAggregate (72) - : +- * Project (71) - : +- * BroadcastHashJoin Inner BuildRight (70) - : :- * Project (68) - : : +- * BroadcastHashJoin Inner BuildRight (67) - : : :- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.web_sales (63) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - +- BroadcastExchange (92) - +- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Project (87) - +- * BroadcastHashJoin Inner BuildRight (86) - :- * Project (84) - : +- * BroadcastHashJoin Inner BuildRight (83) - : :- * Filter (81) - : : +- * ColumnarToRow (80) - : : +- Scan parquet spark_catalog.default.web_sales (79) - : +- ReusedExchange (82) - +- ReusedExchange (85) +* CometColumnarToRow (91) ++- CometSort (90) + +- CometExchange (89) + +- CometProject (88) + +- CometBroadcastHashJoin (87) + :- CometProject (73) + : +- CometBroadcastHashJoin (72) + : :- CometBroadcastHashJoin (58) + : : :- CometProject (44) + : : : +- CometBroadcastHashJoin (43) + : : : :- CometBroadcastHashJoin (29) + : : : : :- CometHashAggregate (15) + : : : : : +- CometColumnarExchange (14) + : : : : : +- * HashAggregate (13) + : : : : : +- * Project (12) + : : : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : : : :- * Project (6) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : : +- ReusedExchange (4) + : : : : : +- BroadcastExchange (10) + : : : : : +- * CometColumnarToRow (9) + : : : : : +- CometFilter (8) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : : : +- CometBroadcastExchange (28) + : : : : +- CometHashAggregate (27) + : : : : +- CometColumnarExchange (26) + : : : : +- * HashAggregate (25) + : : : : +- * Project (24) + : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : :- * Project (21) + : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : :- * Filter (18) + : : : : : : +- * ColumnarToRow (17) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (16) + : : : : : +- ReusedExchange (19) + : : : : +- ReusedExchange (22) + : : : +- CometBroadcastExchange (42) + : : : +- CometHashAggregate (41) + : : : +- CometColumnarExchange (40) + : : : +- * HashAggregate (39) + : : : +- * Project (38) + : : : +- * BroadcastHashJoin Inner BuildRight (37) + : : : :- * Project (35) + : : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : : :- * Filter (32) + : : : : : +- * ColumnarToRow (31) + : : : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : : : +- ReusedExchange (33) + : : : +- ReusedExchange (36) + : : +- CometBroadcastExchange (57) + : : +- CometHashAggregate (56) + : : +- CometColumnarExchange (55) + : : +- * HashAggregate (54) + : : +- * Project (53) + : : +- * BroadcastHashJoin Inner BuildRight (52) + : : :- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- ReusedExchange (48) + : : +- ReusedExchange (51) + : +- CometBroadcastExchange (71) + : +- CometHashAggregate (70) + : +- CometColumnarExchange (69) + : +- * HashAggregate (68) + : +- * Project (67) + : +- * BroadcastHashJoin Inner BuildRight (66) + : :- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Filter (61) + : : : +- * ColumnarToRow (60) + : : : +- Scan parquet spark_catalog.default.web_sales (59) + : : +- ReusedExchange (62) + : +- ReusedExchange (65) + +- CometBroadcastExchange (86) + +- CometHashAggregate (85) + +- CometColumnarExchange (84) + +- * HashAggregate (83) + +- * Project (82) + +- * BroadcastHashJoin Inner BuildRight (81) + :- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Filter (76) + : : +- * ColumnarToRow (75) + : : +- Scan parquet spark_catalog.default.web_sales (74) + : +- ReusedExchange (77) + +- ReusedExchange (80) (1) Scan parquet spark_catalog.default.store_sales @@ -113,7 +107,7 @@ Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Condition : isnotnull(ss_addr_sk#1) -(4) ReusedExchange [Reuses operator id: 101] +(4) ReusedExchange [Reuses operator id: 95] Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] (5) BroadcastHashJoin [codegen id : 3] @@ -165,480 +159,445 @@ Results [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Arguments: hashpartitioning(ca_county#9, d_qoy#7, d_year#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 24] -Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] - -(16) HashAggregate [codegen id : 24] +(15) CometHashAggregate Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Keys [3]: [ca_county#9, d_qoy#7, d_year#6] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#12] -Results [3]: [ca_county#9, d_year#6, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS store_sales#13] -(17) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(16) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#16), dynamicpruningexpression(ss_sold_date_sk#16 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(17) ColumnarToRow [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] -(19) Filter [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] -Condition : isnotnull(ss_addr_sk#14) +(18) Filter [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_addr_sk#12) -(20) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(19) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#16] -Right keys [1]: [d_date_sk#18] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [4]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16, d_date_sk#18, d_year#19, d_qoy#20] - -(23) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#21, ca_county#22] +(21) Project [codegen id : 6] +Output [4]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14, d_date_sk#16, d_year#17, d_qoy#18] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_addr_sk#14] -Right keys [1]: [ca_address_sk#21] -Join type: Inner -Join condition: None +(22) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#19, ca_county#20] -(25) Project [codegen id : 6] -Output [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_address_sk#21, ca_county#22] - -(26) HashAggregate [codegen id : 6] -Input [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#23] -Results [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(27) CometColumnarExchange -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Arguments: hashpartitioning(ca_county#22, d_qoy#20, d_year#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(29) HashAggregate [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#15))#12] -Results [2]: [ca_county#22, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#15))#12,17,2) AS store_sales#25] - -(30) BroadcastExchange -Input [2]: [ca_county#22, store_sales#25] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#22] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_addr_sk#12] +Right keys [1]: [ca_address_sk#19] Join type: Inner Join condition: None -(32) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(24) Project [codegen id : 6] +Output [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_address_sk#19, ca_county#20] + +(25) HashAggregate [codegen id : 6] +Input [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#13))] +Aggregate Attributes [1]: [sum#21] +Results [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] + +(26) CometColumnarExchange +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Arguments: hashpartitioning(ca_county#20, d_qoy#18, d_year#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#13))] + +(28) CometBroadcastExchange +Input [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#20, store_sales#23] + +(29) CometBroadcastHashJoin +Left output [3]: [ca_county#9, d_year#6, store_sales#24] +Right output [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#9], [ca_county#20], Inner, BuildRight + +(30) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ss_sold_date_sk#27), dynamicpruningexpression(ss_sold_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(31) ColumnarToRow [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] -(34) Filter [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] -Condition : isnotnull(ss_addr_sk#26) +(32) Filter [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] +Condition : isnotnull(ss_addr_sk#25) -(35) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(33) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_sold_date_sk#28] -Right keys [1]: [d_date_sk#30] +(34) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_sold_date_sk#27] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [4]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30, d_year#31, d_qoy#32] +(35) Project [codegen id : 9] +Output [4]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27, d_date_sk#29, d_year#30, d_qoy#31] -(38) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#33, ca_county#34] +(36) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#32, ca_county#33] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_addr_sk#26] -Right keys [1]: [ca_address_sk#33] +(37) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_addr_sk#25] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_address_sk#33, ca_county#34] - -(41) HashAggregate [codegen id : 10] -Input [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum#35] -Results [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(42) CometColumnarExchange -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Arguments: hashpartitioning(ca_county#34, d_qoy#32, d_year#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(43) CometColumnarToRow [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(44) HashAggregate [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#27))#12] -Results [2]: [ca_county#34, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#27))#12,17,2) AS store_sales#37] - -(45) BroadcastExchange -Input [2]: [ca_county#34, store_sales#37] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(46) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#22] -Right keys [1]: [ca_county#34] -Join type: Inner -Join condition: None - -(47) Project [codegen id : 24] -Output [5]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37] -Input [7]: [ca_county#9, d_year#6, store_sales#13, ca_county#22, store_sales#25, ca_county#34, store_sales#37] - -(48) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(38) Project [codegen id : 9] +Output [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_address_sk#32, ca_county#33] + +(39) HashAggregate [codegen id : 9] +Input [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#26))] +Aggregate Attributes [1]: [sum#34] +Results [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] + +(40) CometColumnarExchange +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Arguments: hashpartitioning(ca_county#33, d_qoy#31, d_year#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(41) CometHashAggregate +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#26))] + +(42) CometBroadcastExchange +Input [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#33, store_sales#36] + +(43) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23] +Right output [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#20], [ca_county#33], Inner, BuildRight + +(44) CometProject +Input [7]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23, ca_county#33, store_sales#36] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] + +(45) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#40), dynamicpruningexpression(ws_sold_date_sk#40 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ws_sold_date_sk#39), dynamicpruningexpression(ws_sold_date_sk#39 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(49) ColumnarToRow [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(46) ColumnarToRow [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] -(50) Filter [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] -Condition : isnotnull(ws_bill_addr_sk#38) +(47) Filter [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] +Condition : isnotnull(ws_bill_addr_sk#37) -(51) ReusedExchange [Reuses operator id: 101] -Output [3]: [d_date_sk#41, d_year#42, d_qoy#43] +(48) ReusedExchange [Reuses operator id: 95] +Output [3]: [d_date_sk#40, d_year#41, d_qoy#42] -(52) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#40] -Right keys [1]: [d_date_sk#41] +(49) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#39] +Right keys [1]: [d_date_sk#40] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [4]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40, d_date_sk#41, d_year#42, d_qoy#43] +(50) Project [codegen id : 12] +Output [4]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39, d_date_sk#40, d_year#41, d_qoy#42] -(54) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#44, ca_county#45] +(51) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#43, ca_county#44] -(55) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#38] -Right keys [1]: [ca_address_sk#44] +(52) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#37] +Right keys [1]: [ca_address_sk#43] Join type: Inner Join condition: None -(56) Project [codegen id : 14] -Output [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_address_sk#44, ca_county#45] - -(57) HashAggregate [codegen id : 14] -Input [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum#46] -Results [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(58) CometColumnarExchange -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Arguments: hashpartitioning(ca_county#45, d_qoy#43, d_year#42, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(59) CometColumnarToRow [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(60) HashAggregate [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#39))#48] -Results [2]: [ca_county#45, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#39))#48,17,2) AS web_sales#49] - -(61) BroadcastExchange -Input [2]: [ca_county#45, web_sales#49] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(62) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#45] -Join type: Inner -Join condition: None - -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(53) Project [codegen id : 12] +Output [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_address_sk#43, ca_county#44] + +(54) HashAggregate [codegen id : 12] +Input [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#38))] +Aggregate Attributes [1]: [sum#45] +Results [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] + +(55) CometColumnarExchange +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Arguments: hashpartitioning(ca_county#44, d_qoy#42, d_year#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(56) CometHashAggregate +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#38))] + +(57) CometBroadcastExchange +Input [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#44, web_sales#47] + +(58) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] +Right output [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#9], [ca_county#44], Inner, BuildRight + +(59) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#52), dynamicpruningexpression(ws_sold_date_sk#52 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ws_sold_date_sk#50), dynamicpruningexpression(ws_sold_date_sk#50 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(60) ColumnarToRow [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] -(65) Filter [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] -Condition : isnotnull(ws_bill_addr_sk#50) +(61) Filter [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] +Condition : isnotnull(ws_bill_addr_sk#48) -(66) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#53, d_year#54, d_qoy#55] +(62) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#51, d_year#52, d_qoy#53] -(67) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#52] -Right keys [1]: [d_date_sk#53] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#50] +Right keys [1]: [d_date_sk#51] Join type: Inner Join condition: None -(68) Project [codegen id : 18] -Output [4]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52, d_date_sk#53, d_year#54, d_qoy#55] +(64) Project [codegen id : 15] +Output [4]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50, d_date_sk#51, d_year#52, d_qoy#53] -(69) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#56, ca_county#57] +(65) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#54, ca_county#55] -(70) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_bill_addr_sk#50] -Right keys [1]: [ca_address_sk#56] +(66) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_bill_addr_sk#48] +Right keys [1]: [ca_address_sk#54] Join type: Inner Join condition: None -(71) Project [codegen id : 18] -Output [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_address_sk#56, ca_county#57] - -(72) HashAggregate [codegen id : 18] -Input [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum#58] -Results [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(73) CometColumnarExchange -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Arguments: hashpartitioning(ca_county#57, d_qoy#55, d_year#54, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(74) CometColumnarToRow [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(75) HashAggregate [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#51))#48] -Results [2]: [ca_county#57, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#51))#48,17,2) AS web_sales#60] - -(76) BroadcastExchange -Input [2]: [ca_county#57, web_sales#60] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=10] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#57] -Join type: Inner -Join condition: (CASE WHEN (web_sales#49 > 0.00) THEN (web_sales#60 / web_sales#49) END > CASE WHEN (store_sales#13 > 0.00) THEN (store_sales#25 / store_sales#13) END) - -(78) Project [codegen id : 24] -Output [8]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60] -Input [9]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, ca_county#57, web_sales#60] - -(79) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(67) Project [codegen id : 15] +Output [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_address_sk#54, ca_county#55] + +(68) HashAggregate [codegen id : 15] +Input [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#49))] +Aggregate Attributes [1]: [sum#56] +Results [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] + +(69) CometColumnarExchange +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Arguments: hashpartitioning(ca_county#55, d_qoy#53, d_year#52, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(70) CometHashAggregate +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#49))] + +(71) CometBroadcastExchange +Input [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#55, web_sales#58] + +(72) CometBroadcastHashJoin +Left output [7]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47] +Right output [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#44], [ca_county#55], Inner, (CASE WHEN (web_sales#47 > 0.00) THEN (web_sales#58 / web_sales#47) END > CASE WHEN (store_sales#24 > 0.00) THEN (store_sales#23 / store_sales#24) END), BuildRight + +(73) CometProject +Input [9]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, ca_county#55, web_sales#58] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] + +(74) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#63), dynamicpruningexpression(ws_sold_date_sk#63 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ws_sold_date_sk#61), dynamicpruningexpression(ws_sold_date_sk#61 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(80) ColumnarToRow [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(75) ColumnarToRow [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] -(81) Filter [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] -Condition : isnotnull(ws_bill_addr_sk#61) +(76) Filter [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] +Condition : isnotnull(ws_bill_addr_sk#59) -(82) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#64, d_year#65, d_qoy#66] +(77) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#62, d_year#63, d_qoy#64] -(83) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#63] -Right keys [1]: [d_date_sk#64] +(78) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#61] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(84) Project [codegen id : 22] -Output [4]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63, d_date_sk#64, d_year#65, d_qoy#66] +(79) Project [codegen id : 18] +Output [4]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61, d_date_sk#62, d_year#63, d_qoy#64] -(85) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#67, ca_county#68] +(80) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#65, ca_county#66] -(86) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_bill_addr_sk#61] -Right keys [1]: [ca_address_sk#67] +(81) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_bill_addr_sk#59] +Right keys [1]: [ca_address_sk#65] Join type: Inner Join condition: None -(87) Project [codegen id : 22] -Output [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_address_sk#67, ca_county#68] - -(88) HashAggregate [codegen id : 22] -Input [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum#69] -Results [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(89) CometColumnarExchange -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Arguments: hashpartitioning(ca_county#68, d_qoy#66, d_year#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(90) CometColumnarToRow [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(91) HashAggregate [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#62))#48] -Results [2]: [ca_county#68, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#62))#48,17,2) AS web_sales#71] - -(92) BroadcastExchange -Input [2]: [ca_county#68, web_sales#71] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=12] - -(93) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#68] -Join type: Inner -Join condition: (CASE WHEN (web_sales#60 > 0.00) THEN (web_sales#71 / web_sales#60) END > CASE WHEN (store_sales#25 > 0.00) THEN (store_sales#37 / store_sales#25) END) +(82) Project [codegen id : 18] +Output [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_address_sk#65, ca_county#66] + +(83) HashAggregate [codegen id : 18] +Input [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#60))] +Aggregate Attributes [1]: [sum#67] +Results [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] + +(84) CometColumnarExchange +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Arguments: hashpartitioning(ca_county#66, d_qoy#64, d_year#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(85) CometHashAggregate +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#60))] + +(86) CometBroadcastExchange +Input [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#66, web_sales#69] + +(87) CometBroadcastHashJoin +Left output [8]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] +Right output [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#44], [ca_county#66], Inner, (CASE WHEN (web_sales#58 > 0.00) THEN (web_sales#69 / web_sales#58) END > CASE WHEN (store_sales#23 > 0.00) THEN (store_sales#36 / store_sales#23) END), BuildRight -(94) Project [codegen id : 24] -Output [6]: [ca_county#9, d_year#6, (web_sales#60 / web_sales#49) AS web_q1_q2_increase#72, (store_sales#25 / store_sales#13) AS store_q1_q2_increase#73, (web_sales#71 / web_sales#60) AS web_q2_q3_increase#74, (store_sales#37 / store_sales#25) AS store_q2_q3_increase#75] -Input [10]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60, ca_county#68, web_sales#71] +(88) CometProject +Input [10]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58, ca_county#66, web_sales#69] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9, d_year#6, (web_sales#58 / web_sales#47) AS web_q1_q2_increase#70, (store_sales#23 / store_sales#24) AS store_q1_q2_increase#71, (web_sales#69 / web_sales#58) AS web_q2_q3_increase#72, (store_sales#36 / store_sales#23) AS store_q2_q3_increase#73] -(95) CometColumnarExchange -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +(89) CometExchange +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(96) CometSort -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75], [ca_county#9 ASC NULLS FIRST] +(90) CometSort +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9 ASC NULLS FIRST] -(97) CometColumnarToRow [codegen id : 25] -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] +(91) CometColumnarToRow [codegen id : 19] +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (101) -+- * CometColumnarToRow (100) - +- CometFilter (99) - +- CometNativeScan parquet spark_catalog.default.date_dim (98) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(98) CometNativeScan parquet spark_catalog.default.date_dim +(92) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,1), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(99) CometFilter +(93) CometFilter Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] Condition : ((((isnotnull(d_qoy#7) AND isnotnull(d_year#6)) AND (d_qoy#7 = 1)) AND (d_year#6 = 2000)) AND isnotnull(d_date_sk#5)) -(100) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -(101) BroadcastExchange +(95) BroadcastExchange Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#16 IN dynamicpruning#17 -BroadcastExchange (105) -+- * CometColumnarToRow (104) - +- CometFilter (103) - +- CometNativeScan parquet spark_catalog.default.date_dim (102) +Subquery:2 Hosting operator id = 16 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#15 +BroadcastExchange (99) ++- * CometColumnarToRow (98) + +- CometFilter (97) + +- CometNativeScan parquet spark_catalog.default.date_dim (96) -(102) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(96) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(103) CometFilter -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Condition : ((((isnotnull(d_qoy#20) AND isnotnull(d_year#19)) AND (d_qoy#20 = 2)) AND (d_year#19 = 2000)) AND isnotnull(d_date_sk#18)) +(97) CometFilter +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2000)) AND isnotnull(d_date_sk#16)) -(104) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(98) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(105) BroadcastExchange -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(99) BroadcastExchange +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29 -BroadcastExchange (109) -+- * CometColumnarToRow (108) - +- CometFilter (107) - +- CometNativeScan parquet spark_catalog.default.date_dim (106) +Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometFilter (101) + +- CometNativeScan parquet spark_catalog.default.date_dim (100) -(106) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(100) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,3), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(107) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Condition : ((((isnotnull(d_qoy#32) AND isnotnull(d_year#31)) AND (d_qoy#32 = 3)) AND (d_year#31 = 2000)) AND isnotnull(d_date_sk#30)) +(101) CometFilter +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Condition : ((((isnotnull(d_qoy#31) AND isnotnull(d_year#30)) AND (d_qoy#31 = 3)) AND (d_year#30 = 2000)) AND isnotnull(d_date_sk#29)) -(108) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(102) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(109) BroadcastExchange -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=16] +(103) BroadcastExchange +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -Subquery:4 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#40 IN dynamicpruning#4 +Subquery:4 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#39 IN dynamicpruning#4 -Subquery:5 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#52 IN dynamicpruning#17 +Subquery:5 Hosting operator id = 59 Hosting Expression = ws_sold_date_sk#50 IN dynamicpruning#15 -Subquery:6 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#63 IN dynamicpruning#29 +Subquery:6 Hosting operator id = 74 Hosting Expression = ws_sold_date_sk#61 IN dynamicpruning#28 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/extended.txt index f6f3c8032a..2738ee5022 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/extended.txt @@ -1,150 +1,144 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : +- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : +- CometBroadcastExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 38 out of 120 eligible operators (31%). Final plan contains 28 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 57 out of 120 eligible operators (47%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/simplified.txt index f3a0572081..a8230fcbb2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q31.native_datafusion/simplified.txt @@ -1,166 +1,143 @@ -WholeStageCodegen (25) +WholeStageCodegen (19) CometColumnarToRow InputAdapter CometSort [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] - CometColumnarExchange [ca_county] #1 - WholeStageCodegen (24) - Project [ca_county,d_year,web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - Project [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - Project [ca_county,d_year,store_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - BroadcastHashJoin [ca_county,ca_county] - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #2 - WholeStageCodegen (3) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [ca_address_sk,ca_county] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #6 - WholeStageCodegen (6) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow + CometExchange [ca_county] #1 + CometProject [web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,ca_county,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales,ca_county,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales] + CometHashAggregate [d_qoy,sum] [ca_county,d_year,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #2 + WholeStageCodegen (3) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #9 - WholeStageCodegen (10) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #3 - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #10 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #12 - WholeStageCodegen (14) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [ca_address_sk,ca_county] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] + CometBroadcastExchange [ca_county,store_sales] #5 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #6 + WholeStageCodegen (6) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (19) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #14 - WholeStageCodegen (18) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #15 - WholeStageCodegen (23) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #16 - WholeStageCodegen (22) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,store_sales] #8 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #9 + WholeStageCodegen (9) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #3 + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter ReusedExchange [d_date_sk,d_year,d_qoy] #10 InputAdapter ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #11 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #12 + WholeStageCodegen (12) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #13 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #14 + WholeStageCodegen (15) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #15 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #16 + WholeStageCodegen (18) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #10 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/explain.txt index df3987b0a0..7be934815a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,67 +118,63 @@ Results [3]: [cs_item_sk#7, sum#13, count#14] Input [3]: [cs_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(cs_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [cs_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [cs_item_sk#7, sum#13, count#14] Keys [1]: [cs_item_sk#7] Functions [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(cs_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] +Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [cs_item_sk#7] Join type: Inner -Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#16) +Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [cs_ext_discount_amt#2, cs_sold_date_sk#3] -Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] -Output [1]: [d_date_sk#17] +Output [1]: [d_date_sk#16] (26) BroadcastHashJoin [codegen id : 6] Left keys [1]: [cs_sold_date_sk#3] -Right keys [1]: [d_date_sk#17] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None (27) Project [codegen id : 6] Output [1]: [cs_ext_discount_amt#2] -Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#17] +Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#16] (28) HashAggregate [codegen id : 6] Input [1]: [cs_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#18] -Results [1]: [sum#19] +Aggregate Attributes [1]: [sum#17] +Results [1]: [sum#18] (29) CometColumnarExchange -Input [1]: [sum#19] +Input [1]: [sum#18] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#19] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#19] +(30) CometHashAggregate +Input [1]: [sum#18] Keys: [] Functions [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))#20] -Results [1]: [MakeDecimal(sum(UnscaledValue(cs_ext_discount_amt#2))#20,17,2) AS excess discount amount#21] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [excess discount amount#19] ===== Subqueries ===== @@ -191,25 +187,25 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_date#22] +Output [2]: [d_date_sk#16, d_date#20] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#17, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 2000-01-27)) AND (d_date#22 <= 2000-04-26)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#16, d_date#20] +Condition : (((isnotnull(d_date#20) AND (d_date#20 >= 2000-01-27)) AND (d_date#20 <= 2000-04-26)) AND isnotnull(d_date_sk#16)) (34) CometProject -Input [2]: [d_date_sk#17, d_date#22] -Arguments: [d_date_sk#17], [d_date_sk#17] +Input [2]: [d_date_sk#16, d_date#20] +Arguments: [d_date_sk#16], [d_date_sk#16] (35) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] (36) BroadcastExchange -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] Subquery:2 Hosting operator id = 11 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/extended.txt index 1eb8f397c3..bef02a0372 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/simplified.txt index 14c21b32a5..3ab00362fd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q32.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(cs_ext_discount_amt)),excess discount amount,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [excess discount amount,sum(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [cs_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(cs_ext_discount_amt))] - HashAggregate [cs_item_sk,sum,count] [avg(UnscaledValue(cs_ext_discount_amt)),(1.3 * avg(cs_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk,avg(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange [cs_item_sk] #5 WholeStageCodegen (3) HashAggregate [cs_item_sk,cs_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/explain.txt index 0cc777296b..76adc43309 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/explain.txt @@ -1,70 +1,67 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * HashAggregate (65) - +- * CometColumnarToRow (64) - +- CometColumnarExchange (63) - +- * HashAggregate (62) - +- Union (61) - :- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- CometColumnarExchange (26) - : +- * HashAggregate (25) - : +- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * Project (34) - : : : +- * BroadcastHashJoin Inner BuildRight (33) - : : : :- * Filter (31) - : : : : +- * ColumnarToRow (30) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) - : : : +- ReusedExchange (32) - : : +- ReusedExchange (35) - : +- ReusedExchange (38) - +- * HashAggregate (60) - +- * CometColumnarToRow (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- * Project (56) - +- * BroadcastHashJoin Inner BuildRight (55) - :- * Project (53) - : +- * BroadcastHashJoin Inner BuildRight (52) - : :- * Project (50) - : : +- * BroadcastHashJoin Inner BuildRight (49) - : : :- * Filter (47) - : : : +- * ColumnarToRow (46) - : : : +- Scan parquet spark_catalog.default.web_sales (45) - : : +- ReusedExchange (48) - : +- ReusedExchange (51) - +- ReusedExchange (54) +* CometColumnarToRow (63) ++- CometTakeOrderedAndProject (62) + +- CometHashAggregate (61) + +- CometExchange (60) + +- CometHashAggregate (59) + +- CometUnion (58) + :- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (22) + : +- * CometColumnarToRow (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * Project (33) + : : : +- * BroadcastHashJoin Inner BuildRight (32) + : : : :- * Filter (30) + : : : : +- * ColumnarToRow (29) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (28) + : : : +- ReusedExchange (31) + : : +- ReusedExchange (34) + : +- ReusedExchange (37) + +- CometHashAggregate (57) + +- CometColumnarExchange (56) + +- * HashAggregate (55) + +- * Project (54) + +- * BroadcastHashJoin Inner BuildRight (53) + :- * Project (51) + : +- * BroadcastHashJoin Inner BuildRight (50) + : :- * Project (48) + : : +- * BroadcastHashJoin Inner BuildRight (47) + : : :- * Filter (45) + : : : +- * ColumnarToRow (44) + : : : +- Scan parquet spark_catalog.default.web_sales (43) + : : +- ReusedExchange (46) + : +- ReusedExchange (49) + +- ReusedExchange (52) (1) Scan parquet spark_catalog.default.store_sales @@ -82,7 +79,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 71] +(4) ReusedExchange [Reuses operator id: 68] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -189,227 +186,211 @@ Results [2]: [i_manufact_id#10, sum#14] Input [2]: [i_manufact_id#10, sum#14] Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(27) CometColumnarToRow [codegen id : 5] -Input [2]: [i_manufact_id#10, sum#14] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [2]: [i_manufact_id#10, sum#14] Keys [1]: [i_manufact_id#10] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#15] -Results [2]: [i_manufact_id#10, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#15,17,2) AS total_sales#16] -(29) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(28) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#18), dynamicpruningexpression(cs_sold_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(30) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(29) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] -(31) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) +(30) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] +Condition : (isnotnull(cs_bill_addr_sk#15) AND isnotnull(cs_item_sk#16)) -(32) ReusedExchange [Reuses operator id: 71] -Output [1]: [d_date_sk#21] +(31) ReusedExchange [Reuses operator id: 68] +Output [1]: [d_date_sk#19] -(33) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#20] -Right keys [1]: [d_date_sk#21] +(32) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(34) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] -Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] +(33) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17] +Input [5]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18, d_date_sk#19] -(35) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#22] +(34) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#20] -(36) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#17] -Right keys [1]: [ca_address_sk#22] +(35) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#15] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(37) Project [codegen id : 9] -Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] +(36) Project [codegen id : 8] +Output [2]: [cs_item_sk#16, cs_ext_sales_price#17] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, ca_address_sk#20] -(38) ReusedExchange [Reuses operator id: 22] -Output [2]: [i_item_sk#23, i_manufact_id#24] +(37) ReusedExchange [Reuses operator id: 22] +Output [2]: [i_item_sk#21, i_manufact_id#22] -(39) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#18] -Right keys [1]: [i_item_sk#23] +(38) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#16] +Right keys [1]: [i_item_sk#21] Join type: Inner Join condition: None -(40) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_manufact_id#24] - -(41) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Keys [1]: [i_manufact_id#24] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum#25] -Results [2]: [i_manufact_id#24, sum#26] - -(42) CometColumnarExchange -Input [2]: [i_manufact_id#24, sum#26] -Arguments: hashpartitioning(i_manufact_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(43) CometColumnarToRow [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] - -(44) HashAggregate [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] -Keys [1]: [i_manufact_id#24] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#19))#27] -Results [2]: [i_manufact_id#24, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#19))#27,17,2) AS total_sales#28] - -(45) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(39) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Input [4]: [cs_item_sk#16, cs_ext_sales_price#17, i_item_sk#21, i_manufact_id#22] + +(40) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Keys [1]: [i_manufact_id#22] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#17))] +Aggregate Attributes [1]: [sum#23] +Results [2]: [i_manufact_id#22, sum#24] + +(41) CometColumnarExchange +Input [2]: [i_manufact_id#22, sum#24] +Arguments: hashpartitioning(i_manufact_id#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(42) CometHashAggregate +Input [2]: [i_manufact_id#22, sum#24] +Keys [1]: [i_manufact_id#22] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#17))] + +(43) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#32), dynamicpruningexpression(ws_sold_date_sk#32 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#28), dynamicpruningexpression(ws_sold_date_sk#28 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(46) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(44) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] -(47) Filter [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] -Condition : (isnotnull(ws_bill_addr_sk#30) AND isnotnull(ws_item_sk#29)) +(45) Filter [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] +Condition : (isnotnull(ws_bill_addr_sk#26) AND isnotnull(ws_item_sk#25)) -(48) ReusedExchange [Reuses operator id: 71] -Output [1]: [d_date_sk#33] +(46) ReusedExchange [Reuses operator id: 68] +Output [1]: [d_date_sk#29] -(49) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#32] -Right keys [1]: [d_date_sk#33] +(47) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#28] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(50) Project [codegen id : 14] -Output [3]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31] -Input [5]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32, d_date_sk#33] +(48) Project [codegen id : 12] +Output [3]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27] +Input [5]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28, d_date_sk#29] -(51) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#34] +(49) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#30] -(52) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#30] -Right keys [1]: [ca_address_sk#34] +(50) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#26] +Right keys [1]: [ca_address_sk#30] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [2]: [ws_item_sk#29, ws_ext_sales_price#31] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ca_address_sk#34] +(51) Project [codegen id : 12] +Output [2]: [ws_item_sk#25, ws_ext_sales_price#27] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ca_address_sk#30] -(54) ReusedExchange [Reuses operator id: 22] -Output [2]: [i_item_sk#35, i_manufact_id#36] +(52) ReusedExchange [Reuses operator id: 22] +Output [2]: [i_item_sk#31, i_manufact_id#32] -(55) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#29] -Right keys [1]: [i_item_sk#35] +(53) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#25] +Right keys [1]: [i_item_sk#31] Join type: Inner Join condition: None -(56) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Input [4]: [ws_item_sk#29, ws_ext_sales_price#31, i_item_sk#35, i_manufact_id#36] - -(57) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Keys [1]: [i_manufact_id#36] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum#37] -Results [2]: [i_manufact_id#36, sum#38] - -(58) CometColumnarExchange -Input [2]: [i_manufact_id#36, sum#38] -Arguments: hashpartitioning(i_manufact_id#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(59) CometColumnarToRow [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] - -(60) HashAggregate [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] -Keys [1]: [i_manufact_id#36] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#31))#39] -Results [2]: [i_manufact_id#36, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#31))#39,17,2) AS total_sales#40] - -(61) Union - -(62) HashAggregate [codegen id : 16] -Input [2]: [i_manufact_id#10, total_sales#16] +(54) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Input [4]: [ws_item_sk#25, ws_ext_sales_price#27, i_item_sk#31, i_manufact_id#32] + +(55) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Keys [1]: [i_manufact_id#32] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#33] +Results [2]: [i_manufact_id#32, sum#34] + +(56) CometColumnarExchange +Input [2]: [i_manufact_id#32, sum#34] +Arguments: hashpartitioning(i_manufact_id#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(57) CometHashAggregate +Input [2]: [i_manufact_id#32, sum#34] +Keys [1]: [i_manufact_id#32] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#27))] + +(58) CometUnion +Child 0 Input [2]: [i_manufact_id#10, total_sales#35] +Child 1 Input [2]: [i_manufact_id#22, total_sales#36] +Child 2 Input [2]: [i_manufact_id#32, total_sales#37] + +(59) CometHashAggregate +Input [2]: [i_manufact_id#10, total_sales#35] Keys [1]: [i_manufact_id#10] -Functions [1]: [partial_sum(total_sales#16)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [3]: [i_manufact_id#10, sum#43, isEmpty#44] - -(63) CometColumnarExchange -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] -Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sales#35)] -(64) CometColumnarToRow [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(60) CometExchange +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] +Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(65) HashAggregate [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(61) CometHashAggregate +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] Keys [1]: [i_manufact_id#10] -Functions [1]: [sum(total_sales#16)] -Aggregate Attributes [1]: [sum(total_sales#16)#45] -Results [2]: [i_manufact_id#10, sum(total_sales#16)#45 AS total_sales#46] +Functions [1]: [sum(total_sales#35)] + +(62) CometTakeOrderedAndProject +Input [2]: [i_manufact_id#10, total_sales#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#40 ASC NULLS FIRST], output=[i_manufact_id#10,total_sales#40]), [i_manufact_id#10, total_sales#40], 100, 0, [total_sales#40 ASC NULLS FIRST], [i_manufact_id#10, total_sales#40] -(66) TakeOrderedAndProject -Input [2]: [i_manufact_id#10, total_sales#46] -Arguments: 100, [total_sales#46 ASC NULLS FIRST], [i_manufact_id#10, total_sales#46] +(63) CometColumnarToRow [codegen id : 13] +Input [2]: [i_manufact_id#10, total_sales#40] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.date_dim (67) +BroadcastExchange (68) ++- * CometColumnarToRow (67) + +- CometProject (66) + +- CometFilter (65) + +- CometNativeScan parquet spark_catalog.default.date_dim (64) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#47, d_moy#48] +(64) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,5), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] -Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#48)) AND (d_year#47 = 1998)) AND (d_moy#48 = 5)) AND isnotnull(d_date_sk#6)) +(65) CometFilter +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] +Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 5)) AND isnotnull(d_date_sk#6)) -(69) CometProject -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] +(66) CometProject +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] Arguments: [d_date_sk#6], [d_date_sk#6] -(70) CometColumnarToRow [codegen id : 1] +(67) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(71) BroadcastExchange +(68) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 28 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#32 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 43 Hosting Expression = ws_sold_date_sk#28 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/extended.txt index 79b2700a8c..8945c29e4c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/extended.txt @@ -1,112 +1,109 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 46 out of 93 eligible operators (49%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 53 out of 93 eligible operators (56%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/simplified.txt index fd1c1d0ef2..b6ce5dd61a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q33.native_datafusion/simplified.txt @@ -1,105 +1,94 @@ -TakeOrderedAndProject [total_sales,i_manufact_id] - WholeStageCodegen (17) - HashAggregate [i_manufact_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (16) - HashAggregate [i_manufact_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] - CometFilter [i_item_sk,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] - CometBroadcastExchange [i_manufact_id] #6 - CometProject [i_manufact_id] - CometFilter [i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] - WholeStageCodegen (10) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #7 - WholeStageCodegen (9) - HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_manufact_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_manufact_id] #5 - WholeStageCodegen (15) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #8 - WholeStageCodegen (14) - HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_manufact_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_manufact_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_manufact_id,total_sales,sum(total_sales)] + CometExchange [i_manufact_id] #1 + CometHashAggregate [total_sales] [i_manufact_id,sum,isEmpty] + CometUnion [i_manufact_id,total_sales] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] + CometFilter [i_item_sk,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] + CometBroadcastExchange [i_manufact_id] #6 + CometProject [i_manufact_id] + CometFilter [i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #7 + WholeStageCodegen (8) + HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_manufact_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_manufact_id] #5 + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #8 + WholeStageCodegen (12) + HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_manufact_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/explain.txt index 18c904ceed..8eed95a81f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/simplified.txt index 10af5ceadc..ae1c4b111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/explain.txt index 35d06d16ae..510a21c59e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), min(cd_dep_count#22), max(cd_dep_count#22), avg(cd_dep_count#22), min(cd_dep_employed_count#23), max(cd_dep_employed_count#23), avg(cd_dep_employed_count#23), min(cd_dep_college_count#24), max(cd_dep_college_count#24), avg(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, min(cd_dep_count#22)#54, max(cd_dep_count#22)#55, avg(cd_dep_count#22)#56, min(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, avg(cd_dep_employed_count#23)#59, min(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, avg(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, count(1)#53 AS cnt1#63, min(cd_dep_count#22)#54 AS min(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, avg(cd_dep_count#22)#56 AS avg(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, min(cd_dep_employed_count#23)#57 AS min(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, avg(cd_dep_employed_count#23)#59 AS avg(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, min(cd_dep_college_count#24)#60 AS min(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, avg(cd_dep_college_count#24)#62 AS avg(cd_dep_college_count)#74, cd_dep_count#22] -(45) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#63, min(cd_dep_count)#64, max(cd_dep_count)#65, avg(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, min(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, avg(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, min(cd_dep_college_count)#72, max(cd_dep_college_count)#73, avg(cd_dep_college_count)#74, cd_dep_count#22] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#63, min(cd_dep_count)#64, max(cd_dep_count)#65, avg(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, min(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, avg(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, min(cd_dep_college_count)#72, max(cd_dep_college_count)#73, avg(cd_dep_college_count)#74] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64, cd_dep_count#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cnt1#53,min(cd_dep_count)#54,max(cd_dep_count)#55,avg(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,min(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,avg(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,min(cd_dep_college_count)#62,max(cd_dep_college_count)#63,avg(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64] + +(45) CometColumnarToRow [codegen id : 10] +Input [17]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#9, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 2002)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 2002)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/simplified.txt index 48bc5637d0..121f4d88b0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/explain.txt index fedc50de1e..48df3574cf 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), min(cd_dep_count#26), max(cd_dep_count#26), avg(cd_dep_count#26), min(cd_dep_employed_count#27), max(cd_dep_employed_count#27), avg(cd_dep_employed_count#27), min(cd_dep_college_count#28), max(cd_dep_college_count#28), avg(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, min(cd_dep_count#26)#58, max(cd_dep_count#26)#59, avg(cd_dep_count#26)#60, min(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, avg(cd_dep_employed_count#27)#63, min(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, avg(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, count(1)#57 AS cnt1#67, min(cd_dep_count#26)#58 AS min(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, avg(cd_dep_count#26)#60 AS avg(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, min(cd_dep_employed_count#27)#61 AS min(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, avg(cd_dep_employed_count#27)#63 AS avg(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, min(cd_dep_college_count#28)#64 AS min(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, avg(cd_dep_college_count#28)#66 AS avg(cd_dep_college_count)#78, cd_dep_count#26] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78, cd_dep_count#26] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68, cd_dep_count#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cnt1#57,min(cd_dep_count)#58,max(cd_dep_count)#59,avg(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,min(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,avg(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,min(cd_dep_college_count)#66,max(cd_dep_college_count)#67,avg(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/explain.txt index fedc50de1e..48df3574cf 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), min(cd_dep_count#26), max(cd_dep_count#26), avg(cd_dep_count#26), min(cd_dep_employed_count#27), max(cd_dep_employed_count#27), avg(cd_dep_employed_count#27), min(cd_dep_college_count#28), max(cd_dep_college_count#28), avg(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, min(cd_dep_count#26)#58, max(cd_dep_count#26)#59, avg(cd_dep_count#26)#60, min(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, avg(cd_dep_employed_count#27)#63, min(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, avg(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, count(1)#57 AS cnt1#67, min(cd_dep_count#26)#58 AS min(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, avg(cd_dep_count#26)#60 AS avg(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, min(cd_dep_employed_count#27)#61 AS min(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, avg(cd_dep_employed_count#27)#63 AS avg(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, min(cd_dep_college_count#28)#64 AS min(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, avg(cd_dep_college_count#28)#66 AS avg(cd_dep_college_count)#78, cd_dep_count#26] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78, cd_dep_count#26] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68, cd_dep_count#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cnt1#57,min(cd_dep_count)#58,max(cd_dep_count)#59,avg(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,min(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,avg(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,min(cd_dep_college_count)#66,max(cd_dep_college_count)#67,avg(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/explain.txt index 58c6701f56..1c49fca3ef 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/explain.txt @@ -1,35 +1,34 @@ == Physical Plan == -TakeOrderedAndProject (31) -+- * Project (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometColumnarExchange (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) - +- CometColumnarExchange (23) - +- * HashAggregate (22) - +- * Expand (21) - +- * Project (20) - +- * BroadcastHashJoin Inner BuildRight (19) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - +- BroadcastExchange (18) - +- * CometColumnarToRow (17) - +- CometProject (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (30) ++- * Project (29) + +- Window (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometColumnarExchange (23) + +- * HashAggregate (22) + +- * Expand (21) + +- * Project (20) + +- * BroadcastHashJoin Inner BuildRight (19) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + +- BroadcastExchange (18) + +- * CometColumnarToRow (17) + +- CometProject (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) Scan parquet spark_catalog.default.store_sales @@ -47,7 +46,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 36] +(4) ReusedExchange [Reuses operator id: 35] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,68 +138,63 @@ Results [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Arguments: hashpartitioning(i_category#15, i_class#16, spark_grouping_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Keys [3]: [i_category#15, i_class#16, spark_grouping_id#17] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#22, sum(UnscaledValue(ss_ext_sales_price#3))#23] -Results [7]: [(MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS gross_margin#24, i_category#15, i_class#16, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS lochierarchy#25, (MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS _w0#26, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS _w1#27, CASE WHEN (cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint) = 0) THEN i_category#15 END AS _w2#28] -(26) CometColumnarExchange -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(25) CometExchange +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: hashpartitioning(_w1#25, _w2#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(27) CometSort -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 ASC NULLS FIRST] +(26) CometSort +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26], [_w1#25 ASC NULLS FIRST, _w2#26 ASC NULLS FIRST, _w0#24 ASC NULLS FIRST] -(28) CometColumnarToRow [codegen id : 6] -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] +(27) CometColumnarToRow [codegen id : 5] +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] -(29) Window -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 ASC NULLS FIRST] +(28) Window +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [rank(_w0#24) windowspecdefinition(_w1#25, _w2#26, _w0#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#27], [_w1#25, _w2#26], [_w0#24 ASC NULLS FIRST] -(30) Project [codegen id : 7] -Output [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Input [8]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29] +(29) Project [codegen id : 6] +Output [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Input [8]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26, rank_within_parent#27] -(31) TakeOrderedAndProject -Input [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] +(30) TakeOrderedAndProject +Input [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Arguments: 100, [lochierarchy#23 DESC NULLS LAST, CASE WHEN (lochierarchy#23 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#27 ASC NULLS FIRST], [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (36) -+- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.date_dim (32) +BroadcastExchange (35) ++- * CometColumnarToRow (34) + +- CometProject (33) + +- CometFilter (32) + +- CometNativeScan parquet spark_catalog.default.date_dim (31) -(32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#30] +(31) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(33) CometFilter -Input [2]: [d_date_sk#7, d_year#30] -Condition : ((isnotnull(d_year#30) AND (d_year#30 = 2001)) AND isnotnull(d_date_sk#7)) +(32) CometFilter +Input [2]: [d_date_sk#7, d_year#28] +Condition : ((isnotnull(d_year#28) AND (d_year#28 = 2001)) AND isnotnull(d_date_sk#7)) -(34) CometProject -Input [2]: [d_date_sk#7, d_year#30] +(33) CometProject +Input [2]: [d_date_sk#7, d_year#28] Arguments: [d_date_sk#7], [d_date_sk#7] -(35) CometColumnarToRow [codegen id : 1] +(34) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(36) BroadcastExchange +(35) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/extended.txt index bd826eb3a3..675a701ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/extended.txt @@ -3,41 +3,40 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 15 out of 34 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 34 eligible operators (47%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/simplified.txt index d6f8548c89..7abc26c44d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q36.native_datafusion/simplified.txt @@ -1,54 +1,51 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,spark_grouping_id,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,lochierarchy,_w0,_w1,_w2,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] - Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] + Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/explain.txt index b8ed3a361b..d41b97c1ad 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#28)#22 AS mean#24] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#24 AS mean#46, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#47] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#22 AS mean#44, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#45] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#48, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#46, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#10)) AND (d_year#48 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] +Condition : ((((isnotnull(d_year#46) AND isnotnull(d_moy#10)) AND (d_year#46 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#49, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#47, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#35)) AND (d_year#49 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#33)) AND (d_year#47 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/simplified.txt index 11dd59a97f..b07276a47e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39a.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [mean,stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/explain.txt index 69fbdb52f0..77fdb3c8bd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.5) END) +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.5) END) -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#28)#22 AS mean#24] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#24 AS mean#46, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#47] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#23, mean#24] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#46 ASC NULLS FIRST, cov#47 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#21, mean#22] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#22 AS mean#44, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#45] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#46, cov#47] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#44 ASC NULLS FIRST, cov#45 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#44, cov#45] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#48, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#46, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#10)) AND (d_year#48 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] +Condition : ((((isnotnull(d_year#46) AND isnotnull(d_moy#10)) AND (d_year#46 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#48, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#46, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#49, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#47, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#35)) AND (d_year#49 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#33)) AND (d_year#47 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#49, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#47, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/simplified.txt index 11dd59a97f..b07276a47e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q39b.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [mean,stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/explain.txt index 9fffd1dde5..c672960a68 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/explain.txt @@ -1,124 +1,119 @@ == Physical Plan == -TakeOrderedAndProject (120) -+- * Project (119) - +- * BroadcastHashJoin Inner BuildRight (118) - :- * Project (99) - : +- * BroadcastHashJoin Inner BuildRight (98) - : :- * Project (78) - : : +- * BroadcastHashJoin Inner BuildRight (77) - : : :- * Project (58) - : : : +- * BroadcastHashJoin Inner BuildRight (57) - : : : :- * BroadcastHashJoin Inner BuildRight (37) - : : : : :- * Filter (18) - : : : : : +- * HashAggregate (17) - : : : : : +- * CometColumnarToRow (16) - : : : : : +- CometColumnarExchange (15) - : : : : : +- * HashAggregate (14) - : : : : : +- * Project (13) - : : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * CometColumnarToRow (4) - : : : : : : : +- CometProject (3) - : : : : : : : +- CometFilter (2) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * Filter (7) - : : : : : : +- * ColumnarToRow (6) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : : : +- ReusedExchange (11) - : : : : +- BroadcastExchange (36) - : : : : +- * HashAggregate (35) - : : : : +- * CometColumnarToRow (34) - : : : : +- CometColumnarExchange (33) - : : : : +- * HashAggregate (32) - : : : : +- * Project (31) - : : : : +- * BroadcastHashJoin Inner BuildRight (30) - : : : : :- * Project (28) - : : : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : : : :- * CometColumnarToRow (22) - : : : : : : +- CometProject (21) - : : : : : : +- CometFilter (20) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : : : +- BroadcastExchange (26) - : : : : : +- * Filter (25) - : : : : : +- * ColumnarToRow (24) - : : : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : : : +- ReusedExchange (29) - : : : +- BroadcastExchange (56) - : : : +- * Filter (55) - : : : +- * HashAggregate (54) - : : : +- * CometColumnarToRow (53) - : : : +- CometColumnarExchange (52) - : : : +- * HashAggregate (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * Project (47) - : : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : : :- * CometColumnarToRow (41) - : : : : : +- CometProject (40) - : : : : : +- CometFilter (39) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : : : +- BroadcastExchange (45) - : : : : +- * Filter (44) - : : : : +- * ColumnarToRow (43) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (42) - : : : +- ReusedExchange (48) - : : +- BroadcastExchange (76) - : : +- * HashAggregate (75) - : : +- * CometColumnarToRow (74) - : : +- CometColumnarExchange (73) - : : +- * HashAggregate (72) - : : +- * Project (71) - : : +- * BroadcastHashJoin Inner BuildRight (70) - : : :- * Project (68) - : : : +- * BroadcastHashJoin Inner BuildRight (67) - : : : :- * CometColumnarToRow (62) - : : : : +- CometProject (61) - : : : : +- CometFilter (60) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : : : +- BroadcastExchange (66) - : : : +- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.catalog_sales (63) - : : +- ReusedExchange (69) - : +- BroadcastExchange (97) - : +- * Filter (96) - : +- * HashAggregate (95) - : +- * CometColumnarToRow (94) - : +- CometColumnarExchange (93) - : +- * HashAggregate (92) - : +- * Project (91) - : +- * BroadcastHashJoin Inner BuildRight (90) - : :- * Project (88) - : : +- * BroadcastHashJoin Inner BuildRight (87) - : : :- * CometColumnarToRow (82) - : : : +- CometProject (81) - : : : +- CometFilter (80) - : : : +- CometNativeScan parquet spark_catalog.default.customer (79) - : : +- BroadcastExchange (86) - : : +- * Filter (85) - : : +- * ColumnarToRow (84) - : : +- Scan parquet spark_catalog.default.web_sales (83) - : +- ReusedExchange (89) - +- BroadcastExchange (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * CometColumnarToRow (103) - : : +- CometProject (102) - : : +- CometFilter (101) - : : +- CometNativeScan parquet spark_catalog.default.customer (100) - : +- BroadcastExchange (107) - : +- * Filter (106) - : +- * ColumnarToRow (105) - : +- Scan parquet spark_catalog.default.web_sales (104) - +- ReusedExchange (110) +* CometColumnarToRow (115) ++- CometTakeOrderedAndProject (114) + +- CometProject (113) + +- CometBroadcastHashJoin (112) + :- CometProject (94) + : +- CometBroadcastHashJoin (93) + : :- CometProject (74) + : : +- CometBroadcastHashJoin (73) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometBroadcastHashJoin (35) + : : : : :- CometFilter (17) + : : : : : +- CometHashAggregate (16) + : : : : : +- CometColumnarExchange (15) + : : : : : +- * HashAggregate (14) + : : : : : +- * Project (13) + : : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * CometColumnarToRow (4) + : : : : : : : +- CometProject (3) + : : : : : : : +- CometFilter (2) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * Filter (7) + : : : : : : +- * ColumnarToRow (6) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : : : +- ReusedExchange (11) + : : : : +- CometBroadcastExchange (34) + : : : : +- CometHashAggregate (33) + : : : : +- CometColumnarExchange (32) + : : : : +- * HashAggregate (31) + : : : : +- * Project (30) + : : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : : :- * Project (27) + : : : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : : : :- * CometColumnarToRow (21) + : : : : : : +- CometProject (20) + : : : : : : +- CometFilter (19) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Filter (24) + : : : : : +- * ColumnarToRow (23) + : : : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : : : +- ReusedExchange (28) + : : : +- CometBroadcastExchange (53) + : : : +- CometFilter (52) + : : : +- CometHashAggregate (51) + : : : +- CometColumnarExchange (50) + : : : +- * HashAggregate (49) + : : : +- * Project (48) + : : : +- * BroadcastHashJoin Inner BuildRight (47) + : : : :- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * CometColumnarToRow (39) + : : : : : +- CometProject (38) + : : : : : +- CometFilter (37) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : : : +- BroadcastExchange (43) + : : : : +- * Filter (42) + : : : : +- * ColumnarToRow (41) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (40) + : : : +- ReusedExchange (46) + : : +- CometBroadcastExchange (72) + : : +- CometHashAggregate (71) + : : +- CometColumnarExchange (70) + : : +- * HashAggregate (69) + : : +- * Project (68) + : : +- * BroadcastHashJoin Inner BuildRight (67) + : : :- * Project (65) + : : : +- * BroadcastHashJoin Inner BuildRight (64) + : : : :- * CometColumnarToRow (59) + : : : : +- CometProject (58) + : : : : +- CometFilter (57) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : : : +- BroadcastExchange (63) + : : : +- * Filter (62) + : : : +- * ColumnarToRow (61) + : : : +- Scan parquet spark_catalog.default.catalog_sales (60) + : : +- ReusedExchange (66) + : +- CometBroadcastExchange (92) + : +- CometFilter (91) + : +- CometHashAggregate (90) + : +- CometColumnarExchange (89) + : +- * HashAggregate (88) + : +- * Project (87) + : +- * BroadcastHashJoin Inner BuildRight (86) + : :- * Project (84) + : : +- * BroadcastHashJoin Inner BuildRight (83) + : : :- * CometColumnarToRow (78) + : : : +- CometProject (77) + : : : +- CometFilter (76) + : : : +- CometNativeScan parquet spark_catalog.default.customer (75) + : : +- BroadcastExchange (82) + : : +- * Filter (81) + : : +- * ColumnarToRow (80) + : : +- Scan parquet spark_catalog.default.web_sales (79) + : +- ReusedExchange (85) + +- CometBroadcastExchange (111) + +- CometHashAggregate (110) + +- CometColumnarExchange (109) + +- * HashAggregate (108) + +- * Project (107) + +- * BroadcastHashJoin Inner BuildRight (106) + :- * Project (104) + : +- * BroadcastHashJoin Inner BuildRight (103) + : :- * CometColumnarToRow (98) + : : +- CometProject (97) + : : +- CometFilter (96) + : : +- CometNativeScan parquet spark_catalog.default.customer (95) + : +- BroadcastExchange (102) + : +- * Filter (101) + : +- * ColumnarToRow (100) + : +- Scan parquet spark_catalog.default.web_sales (99) + +- ReusedExchange (105) (1) CometNativeScan parquet spark_catalog.default.customer @@ -168,7 +163,7 @@ Join condition: None Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] Input [14]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] -(11) ReusedExchange [Reuses operator id: 124] +(11) ReusedExchange [Reuses operator id: 119] Output [2]: [d_date_sk#22, d_year#23] (12) BroadcastHashJoin [codegen id : 3] @@ -192,561 +187,529 @@ Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cus Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 24] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] - -(17) HashAggregate [codegen id : 24] +(16) CometHashAggregate Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23] Functions [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28] -Results [2]: [c_customer_id#9 AS customer_id#29, sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28 AS year_total#30] -(18) Filter [codegen id : 24] -Input [2]: [customer_id#29, year_total#30] -Condition : (isnotnull(year_total#30) AND (year_total#30 > 0.000000)) +(17) CometFilter +Input [2]: [customer_id#28, year_total#29] +Condition : (isnotnull(year_total#29) AND (year_total#29 > 0.000000)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Condition : (isnotnull(c_customer_sk#31) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#32, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Condition : (isnotnull(c_customer_sk#30) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#31, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Arguments: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14], [c_customer_sk#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#32, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#33, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#34, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#35, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#37, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#38, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Arguments: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14], [c_customer_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#31, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#32, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#33, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#34, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#36, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#37, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(22) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#44), dynamicpruningexpression(ss_sold_date_sk#44 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ss_sold_date_sk#43), dynamicpruningexpression(ss_sold_date_sk#43 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(23) ColumnarToRow [codegen id : 4] +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(25) Filter [codegen id : 4] -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Condition : isnotnull(ss_customer_sk#39) +(24) Filter [codegen id : 4] +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Condition : isnotnull(ss_customer_sk#38) -(26) BroadcastExchange -Input [6]: [ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(25) BroadcastExchange +Input [6]: [ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#31] -Right keys [1]: [ss_customer_sk#39] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#30] +Right keys [1]: [ss_customer_sk#38] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Input [14]: [c_customer_sk#31, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_customer_sk#39, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(27) Project [codegen id : 6] +Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Input [14]: [c_customer_sk#30, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_customer_sk#38, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(29) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#46, d_year#47] +(28) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#45, d_year#46] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#44] -Right keys [1]: [d_date_sk#46] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#43] +Right keys [1]: [d_date_sk#45] Join type: Inner Join condition: None -(31) Project [codegen id : 6] -Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, d_year#47] -Input [14]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, ss_sold_date_sk#44, d_date_sk#46, d_year#47] - -(32) HashAggregate [codegen id : 6] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, ss_ext_discount_amt#40, ss_ext_sales_price#41, ss_ext_wholesale_cost#42, ss_ext_list_price#43, d_year#47] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47] -Functions [1]: [partial_sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))] -Aggregate Attributes [2]: [sum#48, isEmpty#49] -Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] - -(33) CometColumnarExchange -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] - -(35) HashAggregate [codegen id : 7] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47, sum#50, isEmpty#51] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#36, c_login#13, c_email_address#14, d_year#47] -Functions [1]: [sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))#28] -Results [8]: [c_customer_id#9 AS customer_id#52, c_first_name#10 AS customer_first_name#53, c_last_name#11 AS customer_last_name#54, c_preferred_cust_flag#12 AS customer_preferred_cust_flag#55, c_birth_country#36 AS customer_birth_country#56, c_login#13 AS customer_login#57, c_email_address#14 AS customer_email_address#58, sum(((((ss_ext_list_price#43 - ss_ext_wholesale_cost#42) - ss_ext_discount_amt#40) + ss_ext_sales_price#41) / 2))#28 AS year_total#59] - -(36) BroadcastExchange -Input [8]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#52] -Join type: Inner -Join condition: None - -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] +(30) Project [codegen id : 6] +Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, d_year#46] +Input [14]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, ss_sold_date_sk#43, d_date_sk#45, d_year#46] + +(31) HashAggregate [codegen id : 6] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, ss_ext_discount_amt#39, ss_ext_sales_price#40, ss_ext_wholesale_cost#41, ss_ext_list_price#42, d_year#46] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46] +Functions [1]: [partial_sum(((((ss_ext_list_price#42 - ss_ext_wholesale_cost#41) - ss_ext_discount_amt#39) + ss_ext_sales_price#40) / 2))] +Aggregate Attributes [2]: [sum#47, isEmpty#48] +Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] + +(32) CometColumnarExchange +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46, sum#49, isEmpty#50] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#35, c_login#13, c_email_address#14, d_year#46] +Functions [1]: [sum(((((ss_ext_list_price#42 - ss_ext_wholesale_cost#41) - ss_ext_discount_amt#39) + ss_ext_sales_price#40) / 2))] + +(34) CometBroadcastExchange +Input [8]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Arguments: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#28, year_total#29] +Right output [8]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Arguments: [customer_id#28], [customer_id#51], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] -Condition : (isnotnull(c_customer_sk#60) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#61, 16, true, false, true))) +(37) CometFilter +Input [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] +Condition : (isnotnull(c_customer_sk#59) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#60, 16, true, false, true))) -(40) CometProject -Input [8]: [c_customer_sk#60, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#65, c_login#66, c_email_address#67] -Arguments: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73], [c_customer_sk#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#61, 16, true, false, true) AS c_customer_id#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#62, 20, true, false, true) AS c_first_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#63, 30, true, false, true) AS c_last_name#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#64, 1, true, false, true) AS c_preferred_cust_flag#71, c_birth_country#65, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#66, 13, true, false, true) AS c_login#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#67, 50, true, false, true) AS c_email_address#73] +(38) CometProject +Input [8]: [c_customer_sk#59, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#64, c_login#65, c_email_address#66] +Arguments: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72], [c_customer_sk#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#60, 16, true, false, true) AS c_customer_id#67, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#61, 20, true, false, true) AS c_first_name#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#62, 30, true, false, true) AS c_last_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#63, 1, true, false, true) AS c_preferred_cust_flag#70, c_birth_country#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#65, 13, true, false, true) AS c_login#71, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#66, 50, true, false, true) AS c_email_address#72] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72] -(42) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(40) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#79), dynamicpruningexpression(cs_sold_date_sk#79 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(cs_sold_date_sk#78), dynamicpruningexpression(cs_sold_date_sk#78 IN dynamicpruning#21)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(41) ColumnarToRow [codegen id : 7] +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] -(44) Filter [codegen id : 8] -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Condition : isnotnull(cs_bill_customer_sk#74) +(42) Filter [codegen id : 7] +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Condition : isnotnull(cs_bill_customer_sk#73) -(45) BroadcastExchange -Input [6]: [cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [6]: [cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#60] -Right keys [1]: [cs_bill_customer_sk#74] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#59] +Right keys [1]: [cs_bill_customer_sk#73] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] -Input [14]: [c_customer_sk#60, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_bill_customer_sk#74, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79] +(45) Project [codegen id : 9] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] +Input [14]: [c_customer_sk#59, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_bill_customer_sk#73, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78] -(48) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#80, d_year#81] +(46) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#79, d_year#80] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#79] -Right keys [1]: [d_date_sk#80] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#78] +Right keys [1]: [d_date_sk#79] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, d_year#81] -Input [14]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, cs_sold_date_sk#79, d_date_sk#80, d_year#81] - -(51) HashAggregate [codegen id : 10] -Input [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, cs_ext_discount_amt#75, cs_ext_sales_price#76, cs_ext_wholesale_cost#77, cs_ext_list_price#78, d_year#81] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81] -Functions [1]: [partial_sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))] -Aggregate Attributes [2]: [sum#82, isEmpty#83] -Results [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] - -(52) CometColumnarExchange -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] -Arguments: hashpartitioning(c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] - -(54) HashAggregate [codegen id : 11] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81, sum#84, isEmpty#85] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#65, c_login#72, c_email_address#73, d_year#81] -Functions [1]: [sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))#86] -Results [2]: [c_customer_id#68 AS customer_id#87, sum(((((cs_ext_list_price#78 - cs_ext_wholesale_cost#77) - cs_ext_discount_amt#75) + cs_ext_sales_price#76) / 2))#86 AS year_total#88] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#87, year_total#88] -Condition : (isnotnull(year_total#88) AND (year_total#88 > 0.000000)) - -(56) BroadcastExchange -Input [2]: [customer_id#87, year_total#88] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#87] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 24] -Output [11]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, year_total#88] -Input [12]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, customer_id#87, year_total#88] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] +(48) Project [codegen id : 9] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, d_year#80] +Input [14]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, cs_sold_date_sk#78, d_date_sk#79, d_year#80] + +(49) HashAggregate [codegen id : 9] +Input [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, cs_ext_discount_amt#74, cs_ext_sales_price#75, cs_ext_wholesale_cost#76, cs_ext_list_price#77, d_year#80] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80] +Functions [1]: [partial_sum(((((cs_ext_list_price#77 - cs_ext_wholesale_cost#76) - cs_ext_discount_amt#74) + cs_ext_sales_price#75) / 2))] +Aggregate Attributes [2]: [sum#81, isEmpty#82] +Results [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] + +(50) CometColumnarExchange +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] +Arguments: hashpartitioning(c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80, sum#83, isEmpty#84] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#64, c_login#71, c_email_address#72, d_year#80] +Functions [1]: [sum(((((cs_ext_list_price#77 - cs_ext_wholesale_cost#76) - cs_ext_discount_amt#74) + cs_ext_sales_price#75) / 2))] + +(52) CometFilter +Input [2]: [customer_id#85, year_total#86] +Condition : (isnotnull(year_total#86) AND (year_total#86 > 0.000000)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#85, year_total#86] +Arguments: [customer_id#85, year_total#86] + +(54) CometBroadcastHashJoin +Left output [10]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58] +Right output [2]: [customer_id#85, year_total#86] +Arguments: [customer_id#28], [customer_id#85], Inner, BuildRight + +(55) CometProject +Input [12]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, customer_id#85, year_total#86] +Arguments: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86], [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] -Condition : (isnotnull(c_customer_sk#89) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#90, 16, true, false, true))) +(57) CometFilter +Input [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] +Condition : (isnotnull(c_customer_sk#87) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#88, 16, true, false, true))) -(61) CometProject -Input [8]: [c_customer_sk#89, c_customer_id#90, c_first_name#91, c_last_name#92, c_preferred_cust_flag#93, c_birth_country#94, c_login#95, c_email_address#96] -Arguments: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73], [c_customer_sk#89, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#90, 16, true, false, true) AS c_customer_id#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#91, 20, true, false, true) AS c_first_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#92, 30, true, false, true) AS c_last_name#70, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#93, 1, true, false, true) AS c_preferred_cust_flag#71, c_birth_country#94, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#95, 13, true, false, true) AS c_login#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#96, 50, true, false, true) AS c_email_address#73] +(58) CometProject +Input [8]: [c_customer_sk#87, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#92, c_login#93, c_email_address#94] +Arguments: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72], [c_customer_sk#87, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#88, 16, true, false, true) AS c_customer_id#67, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#89, 20, true, false, true) AS c_first_name#68, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#90, 30, true, false, true) AS c_last_name#69, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#91, 1, true, false, true) AS c_preferred_cust_flag#70, c_birth_country#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#93, 13, true, false, true) AS c_login#71, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#94, 50, true, false, true) AS c_email_address#72] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72] -(63) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(60) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#102), dynamicpruningexpression(cs_sold_date_sk#102 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(cs_sold_date_sk#100), dynamicpruningexpression(cs_sold_date_sk#100 IN dynamicpruning#44)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(61) ColumnarToRow [codegen id : 10] +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] -(65) Filter [codegen id : 12] -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Condition : isnotnull(cs_bill_customer_sk#97) +(62) Filter [codegen id : 10] +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Condition : isnotnull(cs_bill_customer_sk#95) -(66) BroadcastExchange -Input [6]: [cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [6]: [cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#89] -Right keys [1]: [cs_bill_customer_sk#97] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#87] +Right keys [1]: [cs_bill_customer_sk#95] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] -Input [14]: [c_customer_sk#89, c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_bill_customer_sk#97, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102] +(65) Project [codegen id : 12] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] +Input [14]: [c_customer_sk#87, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_bill_customer_sk#95, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100] -(69) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#103, d_year#104] +(66) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#101, d_year#102] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [cs_sold_date_sk#102] -Right keys [1]: [d_date_sk#103] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cs_sold_date_sk#100] +Right keys [1]: [d_date_sk#101] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, d_year#104] -Input [14]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, cs_sold_date_sk#102, d_date_sk#103, d_year#104] - -(72) HashAggregate [codegen id : 14] -Input [12]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, cs_ext_discount_amt#98, cs_ext_sales_price#99, cs_ext_wholesale_cost#100, cs_ext_list_price#101, d_year#104] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104] -Functions [1]: [partial_sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))] -Aggregate Attributes [2]: [sum#105, isEmpty#106] -Results [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] - -(73) CometColumnarExchange -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] -Arguments: hashpartitioning(c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] - -(75) HashAggregate [codegen id : 15] -Input [10]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104, sum#107, isEmpty#108] -Keys [8]: [c_customer_id#68, c_first_name#69, c_last_name#70, c_preferred_cust_flag#71, c_birth_country#94, c_login#72, c_email_address#73, d_year#104] -Functions [1]: [sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))#86] -Results [2]: [c_customer_id#68 AS customer_id#109, sum(((((cs_ext_list_price#101 - cs_ext_wholesale_cost#100) - cs_ext_discount_amt#98) + cs_ext_sales_price#99) / 2))#86 AS year_total#110] - -(76) BroadcastExchange -Input [2]: [customer_id#109, year_total#110] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#109] -Join type: Inner -Join condition: (CASE WHEN (year_total#88 > 0.000000) THEN (year_total#110 / year_total#88) END > CASE WHEN (year_total#30 > 0.000000) THEN (year_total#59 / year_total#30) END) - -(78) Project [codegen id : 24] -Output [10]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110] -Input [13]: [customer_id#29, year_total#30, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#59, year_total#88, customer_id#109, year_total#110] - -(79) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] +(68) Project [codegen id : 12] +Output [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, d_year#102] +Input [14]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, cs_sold_date_sk#100, d_date_sk#101, d_year#102] + +(69) HashAggregate [codegen id : 12] +Input [12]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, cs_ext_discount_amt#96, cs_ext_sales_price#97, cs_ext_wholesale_cost#98, cs_ext_list_price#99, d_year#102] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102] +Functions [1]: [partial_sum(((((cs_ext_list_price#99 - cs_ext_wholesale_cost#98) - cs_ext_discount_amt#96) + cs_ext_sales_price#97) / 2))] +Aggregate Attributes [2]: [sum#103, isEmpty#104] +Results [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] + +(70) CometColumnarExchange +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] +Arguments: hashpartitioning(c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [10]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102, sum#105, isEmpty#106] +Keys [8]: [c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#92, c_login#71, c_email_address#72, d_year#102] +Functions [1]: [sum(((((cs_ext_list_price#99 - cs_ext_wholesale_cost#98) - cs_ext_discount_amt#96) + cs_ext_sales_price#97) / 2))] + +(72) CometBroadcastExchange +Input [2]: [customer_id#107, year_total#108] +Arguments: [customer_id#107, year_total#108] + +(73) CometBroadcastHashJoin +Left output [11]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86] +Right output [2]: [customer_id#107, year_total#108] +Arguments: [customer_id#28], [customer_id#107], Inner, (CASE WHEN (year_total#86 > 0.000000) THEN (year_total#108 / year_total#86) END > CASE WHEN (year_total#29 > 0.000000) THEN (year_total#58 / year_total#29) END), BuildRight + +(74) CometProject +Input [13]: [customer_id#28, year_total#29, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#58, year_total#86, customer_id#107, year_total#108] +Arguments: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108], [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108] + +(75) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(80) CometFilter -Input [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] -Condition : (isnotnull(c_customer_sk#111) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#112, 16, true, false, true))) +(76) CometFilter +Input [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] +Condition : (isnotnull(c_customer_sk#109) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#110, 16, true, false, true))) -(81) CometProject -Input [8]: [c_customer_sk#111, c_customer_id#112, c_first_name#113, c_last_name#114, c_preferred_cust_flag#115, c_birth_country#116, c_login#117, c_email_address#118] -Arguments: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124], [c_customer_sk#111, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#112, 16, true, false, true) AS c_customer_id#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#113, 20, true, false, true) AS c_first_name#120, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#114, 30, true, false, true) AS c_last_name#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#115, 1, true, false, true) AS c_preferred_cust_flag#122, c_birth_country#116, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#117, 13, true, false, true) AS c_login#123, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#118, 50, true, false, true) AS c_email_address#124] +(77) CometProject +Input [8]: [c_customer_sk#109, c_customer_id#110, c_first_name#111, c_last_name#112, c_preferred_cust_flag#113, c_birth_country#114, c_login#115, c_email_address#116] +Arguments: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122], [c_customer_sk#109, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#110, 16, true, false, true) AS c_customer_id#117, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#111, 20, true, false, true) AS c_first_name#118, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#112, 30, true, false, true) AS c_last_name#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#113, 1, true, false, true) AS c_preferred_cust_flag#120, c_birth_country#114, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#115, 13, true, false, true) AS c_login#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#116, 50, true, false, true) AS c_email_address#122] -(82) CometColumnarToRow [codegen id : 18] -Input [8]: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124] +(78) CometColumnarToRow [codegen id : 15] +Input [8]: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122] -(83) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] +(79) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#130), dynamicpruningexpression(ws_sold_date_sk#130 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(ws_sold_date_sk#128), dynamicpruningexpression(ws_sold_date_sk#128 IN dynamicpruning#21)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(84) ColumnarToRow [codegen id : 16] -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] +(80) ColumnarToRow [codegen id : 13] +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] -(85) Filter [codegen id : 16] -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Condition : isnotnull(ws_bill_customer_sk#125) +(81) Filter [codegen id : 13] +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Condition : isnotnull(ws_bill_customer_sk#123) -(86) BroadcastExchange -Input [6]: [ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +(82) BroadcastExchange +Input [6]: [ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -(87) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [c_customer_sk#111] -Right keys [1]: [ws_bill_customer_sk#125] +(83) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [c_customer_sk#109] +Right keys [1]: [ws_bill_customer_sk#123] Join type: Inner Join condition: None -(88) Project [codegen id : 18] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] -Input [14]: [c_customer_sk#111, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_bill_customer_sk#125, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130] - -(89) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#131, d_year#132] +(84) Project [codegen id : 15] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] +Input [14]: [c_customer_sk#109, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_bill_customer_sk#123, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128] -(90) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#130] -Right keys [1]: [d_date_sk#131] -Join type: Inner -Join condition: None +(85) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#129, d_year#130] -(91) Project [codegen id : 18] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, d_year#132] -Input [14]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, ws_sold_date_sk#130, d_date_sk#131, d_year#132] - -(92) HashAggregate [codegen id : 18] -Input [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, ws_ext_discount_amt#126, ws_ext_sales_price#127, ws_ext_wholesale_cost#128, ws_ext_list_price#129, d_year#132] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132] -Functions [1]: [partial_sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))] -Aggregate Attributes [2]: [sum#133, isEmpty#134] -Results [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] - -(93) CometColumnarExchange -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] -Arguments: hashpartitioning(c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(94) CometColumnarToRow [codegen id : 19] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] - -(95) HashAggregate [codegen id : 19] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132, sum#135, isEmpty#136] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#116, c_login#123, c_email_address#124, d_year#132] -Functions [1]: [sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))#137] -Results [2]: [c_customer_id#119 AS customer_id#138, sum(((((ws_ext_list_price#129 - ws_ext_wholesale_cost#128) - ws_ext_discount_amt#126) + ws_ext_sales_price#127) / 2))#137 AS year_total#139] - -(96) Filter [codegen id : 19] -Input [2]: [customer_id#138, year_total#139] -Condition : (isnotnull(year_total#139) AND (year_total#139 > 0.000000)) - -(97) BroadcastExchange -Input [2]: [customer_id#138, year_total#139] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=14] - -(98) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#138] +(86) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#128] +Right keys [1]: [d_date_sk#129] Join type: Inner Join condition: None -(99) Project [codegen id : 24] -Output [11]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, year_total#139] -Input [12]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, customer_id#138, year_total#139] - -(100) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] +(87) Project [codegen id : 15] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, d_year#130] +Input [14]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, ws_sold_date_sk#128, d_date_sk#129, d_year#130] + +(88) HashAggregate [codegen id : 15] +Input [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, ws_ext_discount_amt#124, ws_ext_sales_price#125, ws_ext_wholesale_cost#126, ws_ext_list_price#127, d_year#130] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130] +Functions [1]: [partial_sum(((((ws_ext_list_price#127 - ws_ext_wholesale_cost#126) - ws_ext_discount_amt#124) + ws_ext_sales_price#125) / 2))] +Aggregate Attributes [2]: [sum#131, isEmpty#132] +Results [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] + +(89) CometColumnarExchange +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] +Arguments: hashpartitioning(c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(90) CometHashAggregate +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130, sum#133, isEmpty#134] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#114, c_login#121, c_email_address#122, d_year#130] +Functions [1]: [sum(((((ws_ext_list_price#127 - ws_ext_wholesale_cost#126) - ws_ext_discount_amt#124) + ws_ext_sales_price#125) / 2))] + +(91) CometFilter +Input [2]: [customer_id#135, year_total#136] +Condition : (isnotnull(year_total#136) AND (year_total#136 > 0.000000)) + +(92) CometBroadcastExchange +Input [2]: [customer_id#135, year_total#136] +Arguments: [customer_id#135, year_total#136] + +(93) CometBroadcastHashJoin +Left output [10]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108] +Right output [2]: [customer_id#135, year_total#136] +Arguments: [customer_id#28], [customer_id#135], Inner, BuildRight + +(94) CometProject +Input [12]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, customer_id#135, year_total#136] +Arguments: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136], [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136] + +(95) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(101) CometFilter -Input [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] -Condition : (isnotnull(c_customer_sk#140) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#141, 16, true, false, true))) +(96) CometFilter +Input [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] +Condition : (isnotnull(c_customer_sk#137) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#138, 16, true, false, true))) -(102) CometProject -Input [8]: [c_customer_sk#140, c_customer_id#141, c_first_name#142, c_last_name#143, c_preferred_cust_flag#144, c_birth_country#145, c_login#146, c_email_address#147] -Arguments: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124], [c_customer_sk#140, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#141, 16, true, false, true) AS c_customer_id#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#142, 20, true, false, true) AS c_first_name#120, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#143, 30, true, false, true) AS c_last_name#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#144, 1, true, false, true) AS c_preferred_cust_flag#122, c_birth_country#145, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#146, 13, true, false, true) AS c_login#123, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#147, 50, true, false, true) AS c_email_address#124] +(97) CometProject +Input [8]: [c_customer_sk#137, c_customer_id#138, c_first_name#139, c_last_name#140, c_preferred_cust_flag#141, c_birth_country#142, c_login#143, c_email_address#144] +Arguments: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122], [c_customer_sk#137, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#138, 16, true, false, true) AS c_customer_id#117, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#139, 20, true, false, true) AS c_first_name#118, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#140, 30, true, false, true) AS c_last_name#119, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#141, 1, true, false, true) AS c_preferred_cust_flag#120, c_birth_country#142, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#143, 13, true, false, true) AS c_login#121, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#144, 50, true, false, true) AS c_email_address#122] -(103) CometColumnarToRow [codegen id : 22] -Input [8]: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124] +(98) CometColumnarToRow [codegen id : 18] +Input [8]: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122] -(104) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(99) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#153), dynamicpruningexpression(ws_sold_date_sk#153 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ws_sold_date_sk#150), dynamicpruningexpression(ws_sold_date_sk#150 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(105) ColumnarToRow [codegen id : 20] -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(100) ColumnarToRow [codegen id : 16] +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] -(106) Filter [codegen id : 20] -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Condition : isnotnull(ws_bill_customer_sk#148) +(101) Filter [codegen id : 16] +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Condition : isnotnull(ws_bill_customer_sk#145) -(107) BroadcastExchange -Input [6]: [ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(102) BroadcastExchange +Input [6]: [ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -(108) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [c_customer_sk#140] -Right keys [1]: [ws_bill_customer_sk#148] +(103) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [c_customer_sk#137] +Right keys [1]: [ws_bill_customer_sk#145] Join type: Inner Join condition: None -(109) Project [codegen id : 22] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] -Input [14]: [c_customer_sk#140, c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_bill_customer_sk#148, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153] +(104) Project [codegen id : 18] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] +Input [14]: [c_customer_sk#137, c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_bill_customer_sk#145, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150] -(110) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#154, d_year#155] +(105) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#151, d_year#152] -(111) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#153] -Right keys [1]: [d_date_sk#154] +(106) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#150] +Right keys [1]: [d_date_sk#151] Join type: Inner Join condition: None -(112) Project [codegen id : 22] -Output [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, d_year#155] -Input [14]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, ws_sold_date_sk#153, d_date_sk#154, d_year#155] - -(113) HashAggregate [codegen id : 22] -Input [12]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, ws_ext_discount_amt#149, ws_ext_sales_price#150, ws_ext_wholesale_cost#151, ws_ext_list_price#152, d_year#155] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155] -Functions [1]: [partial_sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))] -Aggregate Attributes [2]: [sum#156, isEmpty#157] -Results [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] - -(114) CometColumnarExchange -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] -Arguments: hashpartitioning(c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] - -(115) CometColumnarToRow [codegen id : 23] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] - -(116) HashAggregate [codegen id : 23] -Input [10]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155, sum#158, isEmpty#159] -Keys [8]: [c_customer_id#119, c_first_name#120, c_last_name#121, c_preferred_cust_flag#122, c_birth_country#145, c_login#123, c_email_address#124, d_year#155] -Functions [1]: [sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))#137] -Results [2]: [c_customer_id#119 AS customer_id#160, sum(((((ws_ext_list_price#152 - ws_ext_wholesale_cost#151) - ws_ext_discount_amt#149) + ws_ext_sales_price#150) / 2))#137 AS year_total#161] - -(117) BroadcastExchange -Input [2]: [customer_id#160, year_total#161] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=17] - -(118) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#160] -Join type: Inner -Join condition: (CASE WHEN (year_total#88 > 0.000000) THEN (year_total#110 / year_total#88) END > CASE WHEN (year_total#139 > 0.000000) THEN (year_total#161 / year_total#139) END) +(107) Project [codegen id : 18] +Output [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, d_year#152] +Input [14]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, ws_sold_date_sk#150, d_date_sk#151, d_year#152] + +(108) HashAggregate [codegen id : 18] +Input [12]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, ws_ext_discount_amt#146, ws_ext_sales_price#147, ws_ext_wholesale_cost#148, ws_ext_list_price#149, d_year#152] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152] +Functions [1]: [partial_sum(((((ws_ext_list_price#149 - ws_ext_wholesale_cost#148) - ws_ext_discount_amt#146) + ws_ext_sales_price#147) / 2))] +Aggregate Attributes [2]: [sum#153, isEmpty#154] +Results [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] + +(109) CometColumnarExchange +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] +Arguments: hashpartitioning(c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] + +(110) CometHashAggregate +Input [10]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152, sum#155, isEmpty#156] +Keys [8]: [c_customer_id#117, c_first_name#118, c_last_name#119, c_preferred_cust_flag#120, c_birth_country#142, c_login#121, c_email_address#122, d_year#152] +Functions [1]: [sum(((((ws_ext_list_price#149 - ws_ext_wholesale_cost#148) - ws_ext_discount_amt#146) + ws_ext_sales_price#147) / 2))] + +(111) CometBroadcastExchange +Input [2]: [customer_id#157, year_total#158] +Arguments: [customer_id#157, year_total#158] + +(112) CometBroadcastHashJoin +Left output [11]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136] +Right output [2]: [customer_id#157, year_total#158] +Arguments: [customer_id#28], [customer_id#157], Inner, (CASE WHEN (year_total#86 > 0.000000) THEN (year_total#108 / year_total#86) END > CASE WHEN (year_total#136 > 0.000000) THEN (year_total#158 / year_total#136) END), BuildRight + +(113) CometProject +Input [13]: [customer_id#28, customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57, year_total#86, year_total#108, year_total#136, customer_id#157, year_total#158] +Arguments: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57], [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] -(119) Project [codegen id : 24] -Output [7]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] -Input [13]: [customer_id#29, customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58, year_total#88, year_total#110, year_total#139, customer_id#160, year_total#161] +(114) CometTakeOrderedAndProject +Input [7]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#51 ASC NULLS FIRST,customer_first_name#52 ASC NULLS FIRST,customer_last_name#53 ASC NULLS FIRST,customer_preferred_cust_flag#54 ASC NULLS FIRST,customer_birth_country#55 ASC NULLS FIRST,customer_login#56 ASC NULLS FIRST,customer_email_address#57 ASC NULLS FIRST], output=[customer_id#51,customer_first_name#52,customer_last_name#53,customer_preferred_cust_flag#54,customer_birth_country#55,customer_login#56,customer_email_address#57]), [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57], 100, 0, [customer_id#51 ASC NULLS FIRST, customer_first_name#52 ASC NULLS FIRST, customer_last_name#53 ASC NULLS FIRST, customer_preferred_cust_flag#54 ASC NULLS FIRST, customer_birth_country#55 ASC NULLS FIRST, customer_login#56 ASC NULLS FIRST, customer_email_address#57 ASC NULLS FIRST], [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] -(120) TakeOrderedAndProject -Input [7]: [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] -Arguments: 100, [customer_id#52 ASC NULLS FIRST, customer_first_name#53 ASC NULLS FIRST, customer_last_name#54 ASC NULLS FIRST, customer_preferred_cust_flag#55 ASC NULLS FIRST, customer_birth_country#56 ASC NULLS FIRST, customer_login#57 ASC NULLS FIRST, customer_email_address#58 ASC NULLS FIRST], [customer_id#52, customer_first_name#53, customer_last_name#54, customer_preferred_cust_flag#55, customer_birth_country#56, customer_login#57, customer_email_address#58] +(115) CometColumnarToRow [codegen id : 19] +Input [7]: [customer_id#51, customer_first_name#52, customer_last_name#53, customer_preferred_cust_flag#54, customer_birth_country#55, customer_login#56, customer_email_address#57] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#20 IN dynamicpruning#21 -BroadcastExchange (124) -+- * CometColumnarToRow (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +BroadcastExchange (119) ++- * CometColumnarToRow (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(121) CometNativeScan parquet spark_catalog.default.date_dim +(116) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#22, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter +(117) CometFilter Input [2]: [d_date_sk#22, d_year#23] Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#22)) -(123) CometColumnarToRow [codegen id : 1] +(118) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#22, d_year#23] -(124) BroadcastExchange +(119) BroadcastExchange Input [2]: [d_date_sk#22, d_year#23] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#44 IN dynamicpruning#45 -BroadcastExchange (128) -+- * CometColumnarToRow (127) - +- CometFilter (126) - +- CometNativeScan parquet spark_catalog.default.date_dim (125) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#43 IN dynamicpruning#44 +BroadcastExchange (123) ++- * CometColumnarToRow (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(125) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#46, d_year#47] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#45, d_year#46] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(126) CometFilter -Input [2]: [d_date_sk#46, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2002)) AND isnotnull(d_date_sk#46)) +(121) CometFilter +Input [2]: [d_date_sk#45, d_year#46] +Condition : ((isnotnull(d_year#46) AND (d_year#46 = 2002)) AND isnotnull(d_date_sk#45)) -(127) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#46, d_year#47] +(122) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#45, d_year#46] -(128) BroadcastExchange -Input [2]: [d_date_sk#46, d_year#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=19] +(123) BroadcastExchange +Input [2]: [d_date_sk#45, d_year#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] -Subquery:3 Hosting operator id = 42 Hosting Expression = cs_sold_date_sk#79 IN dynamicpruning#21 +Subquery:3 Hosting operator id = 40 Hosting Expression = cs_sold_date_sk#78 IN dynamicpruning#21 -Subquery:4 Hosting operator id = 63 Hosting Expression = cs_sold_date_sk#102 IN dynamicpruning#45 +Subquery:4 Hosting operator id = 60 Hosting Expression = cs_sold_date_sk#100 IN dynamicpruning#44 -Subquery:5 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#130 IN dynamicpruning#21 +Subquery:5 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#128 IN dynamicpruning#21 -Subquery:6 Hosting operator id = 104 Hosting Expression = ws_sold_date_sk#153 IN dynamicpruning#45 +Subquery:6 Hosting operator id = 99 Hosting Expression = ws_sold_date_sk#150 IN dynamicpruning#44 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/extended.txt index 54e1a1c11a..b2f95f1c2f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/extended.txt @@ -1,136 +1,131 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : : +- BroadcastExchange - : : : : : : +- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : : +- BroadcastExchange + : : : : : : +- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -151,4 +146,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 40 out of 126 eligible operators (31%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 64 out of 126 eligible operators (50%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/simplified.txt index 56bc32e144..2934bad069 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q4.native_datafusion/simplified.txt @@ -1,18 +1,18 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - WholeStageCodegen (24) - Project [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (19) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] @@ -41,151 +41,131 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] #4 + CometHashAggregate [d_year,sum,isEmpty] [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #14 - WholeStageCodegen (19) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 - WholeStageCodegen (18) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - BroadcastExchange #16 - WholeStageCodegen (16) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #17 - WholeStageCodegen (23) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 - WholeStageCodegen (22) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 InputAdapter - BroadcastExchange #19 - WholeStageCodegen (20) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #14 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 + WholeStageCodegen (15) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #16 + WholeStageCodegen (13) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #17 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 + WholeStageCodegen (18) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #19 + WholeStageCodegen (16) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/explain.txt index 2114d6e892..177eb06067 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -207,19 +207,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#21] Input [3]: [ca_zip#12, ca_city#10, sum#21] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(37) CometColumnarToRow [codegen id : 7] -Input [3]: [ca_zip#12, ca_city#10, sum#21] - -(38) HashAggregate [codegen id : 7] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#21] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#22] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#22,17,2) AS sum(ws_sales_price)#23] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#22]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#22], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] + +(39) CometColumnarToRow [codegen id : 7] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] ===== Subqueries ===== @@ -232,18 +230,18 @@ BroadcastExchange (44) (40) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#24, d_qoy#25] +Output [3]: [d_date_sk#13, d_year#23, d_qoy#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (41) CometFilter -Input [3]: [d_date_sk#13, d_year#24, d_qoy#25] -Condition : ((((isnotnull(d_qoy#25) AND isnotnull(d_year#24)) AND (d_qoy#25 = 2)) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#13)) +Input [3]: [d_date_sk#13, d_year#23, d_qoy#24] +Condition : ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#13)) (42) CometProject -Input [3]: [d_date_sk#13, d_year#24, d_qoy#25] +Input [3]: [d_date_sk#13, d_year#23, d_qoy#24] Arguments: [d_date_sk#13], [d_date_sk#13] (43) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/extended.txt index c58a64e326..3c79c4eafe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -48,4 +48,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 18 out of 41 eligible operators (43%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 20 out of 41 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/simplified.txt index 81ecde84b2..4a8d64e446 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (7) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (6) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/explain.txt index f6ab9a8d53..db67c1528e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#23] Input [3]: [ca_zip#12, ca_city#10, sum#23] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#23] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#23] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#24] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#24,17,2) AS sum(ws_sales_price)#25] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#24]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#24], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/explain.txt index f6ab9a8d53..db67c1528e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#23] Input [3]: [ca_zip#12, ca_city#10, sum#23] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#23] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#23] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#24] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#24,17,2) AS sum(ws_sales_price)#25] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#24]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#24], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q45/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/explain.txt index 994cd12469..fbaa6f65df 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, su Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#22, sum(UnscaledValue(ss_net_profit#7))#23] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#17 AS bought_city#24, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#22,17,2) AS amt#25, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#23,17,2) AS profit#26] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(c_current_addr_sk#28)) +(31) CometFilter +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Condition : (isnotnull(c_customer_sk#22) AND isnotnull(c_current_addr_sk#23)) -(33) CometProject -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Arguments: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32], [c_customer_sk#27, c_current_addr_sk#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#32] +(32) CometProject +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [c_customer_sk#22, c_current_addr_sk#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#24, 20, true, false, true) AS c_first_name#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#25, 30, true, false, true) AS c_last_name#27] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(35) BroadcastExchange -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30] +Right output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_customer_sk#1], [c_customer_sk#22], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#27] -Join type: Inner -Join condition: None +(35) CometProject +Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30, c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(37) Project [codegen id : 8] -Output [7]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#24, amt#25, profit#26, c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#31, ca_city#32] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#33, ca_city#34] +(37) CometFilter +Input [2]: [ca_address_sk#31, ca_city#32] +Condition : (isnotnull(ca_address_sk#31) AND isnotnull(ca_city#32)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#28] -Right keys [1]: [ca_address_sk#33] -Join type: Inner -Join condition: NOT (ca_city#34 = bought_city#24) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#31, ca_city#32] +Arguments: [ca_address_sk#31, ca_city#32] -(40) Project [codegen id : 8] -Output [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Input [9]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32, ca_address_sk#33, ca_city#34] +(39) CometBroadcastHashJoin +Left output [7]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Right output [2]: [ca_address_sk#31, ca_city#32] +Arguments: [c_current_addr_sk#23], [ca_address_sk#31], Inner, NOT (ca_city#32 = bought_city#28), BuildRight -(41) TakeOrderedAndProject -Input [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Arguments: 100, [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, ca_city#34 ASC NULLS FIRST, bought_city#24 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] +(40) CometProject +Input [9]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27, ca_address_sk#31, ca_city#32] +Arguments: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(41) CometTakeOrderedAndProject +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#27 ASC NULLS FIRST,c_first_name#26 ASC NULLS FIRST,ca_city#32 ASC NULLS FIRST,bought_city#28 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#27,c_first_name#26,ca_city#32,bought_city#28,ss_ticket_number#5,amt#29,profit#30]), [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], 100, 0, [c_last_name#27 ASC NULLS FIRST, c_first_name#26 ASC NULLS FIRST, ca_city#32 ASC NULLS FIRST, bought_city#28 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(42) CometColumnarToRow [codegen id : 6] +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#35, d_dow#36] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#33, d_dow#34] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_dow, [0,6]), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] -Condition : ((d_dow#36 IN (6,0) AND d_year#35 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(44) CometFilter +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] +Condition : ((d_dow#34 IN (6,0) AND d_year#33 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(44) CometProject -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] +(45) CometProject +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] Arguments: [d_date_sk#10], [d_date_sk#10] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/simplified.txt index b4b78689b1..44cd36c176 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q46.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),bought_city,amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometBroadcastHashJoin [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,ca_city,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_nu InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/explain.txt index 3f98e1bd21..837295d58a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] -Keys [6]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(ss_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#29))#19] -Results [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(ss_sales_price#29))#19,17,2) AS sum_sales#20] +(32) CometHashAggregate +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] +Keys [6]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#28))] -(35) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST, s_company_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST, s_company_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] -(38) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#5, i_brand#4, s_store_name#24, s_company_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#29], [i_category#5, i_brand#4, s_store_name#23, s_company_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#5 AS i_category#31, i_brand#4 AS i_brand#32, s_store_name#24, s_company_name#25, sum_sales#20 AS sum_sales#33, rn#30] -Input [8]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20, rn#30] +(37) Project [codegen id : 12] +Output [6]: [i_category#5 AS i_category#30, i_brand#4 AS i_brand#31, s_store_name#23, s_company_name#24, sum_sales#19 AS sum_sales#32, rn#29] +Input [8]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19, rn#29] -(40) BroadcastExchange -Input [6]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(38) BroadcastExchange +Input [6]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, (rn#30 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, (rn#29 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(44) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#34 ASC NULLS FIRST, s_company_name#35 ASC NULLS FIRST, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#33 ASC NULLS FIRST, s_company_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(46) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [rank(d_year#36, d_moy#37) windowspecdefinition(i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#5, i_brand#4, s_store_name#34, s_company_name#35], [d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#5, i_brand#4, s_store_name#33, s_company_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#5 AS i_category#39, i_brand#4 AS i_brand#40, s_store_name#34, s_company_name#35, sum_sales#20 AS sum_sales#41, rn#38] -Input [8]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20, rn#38] +(45) Project [codegen id : 18] +Output [6]: [i_category#5 AS i_category#38, i_brand#4 AS i_brand#39, s_store_name#33, s_company_name#34, sum_sales#19 AS sum_sales#40, rn#37] +Input [8]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19, rn#37] -(48) BroadcastExchange -Input [6]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(46) BroadcastExchange +Input [6]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#33 AS psum#42, sum_sales#41 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33, i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(48) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#32 AS psum#41, sum_sales#40 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32, i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] -(51) TakeOrderedAndProject -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/simplified.txt index 017805e5b2..b87d01e0f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_brand,s_company_name,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_bra Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/explain.txt index 494c1d4338..9e8a281af7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (30) -+- * CometColumnarToRow (29) +* CometColumnarToRow (30) ++- CometHashAggregate (29) +- CometColumnarExchange (28) +- * HashAggregate (27) +- * Project (26) @@ -162,15 +162,13 @@ Results [1]: [sum#21] Input [1]: [sum#21] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 6] -Input [1]: [sum#21] - -(30) HashAggregate [codegen id : 6] +(29) CometHashAggregate Input [1]: [sum#21] Keys: [] Functions [1]: [sum(ss_quantity#4)] -Aggregate Attributes [1]: [sum(ss_quantity#4)#22] -Results [1]: [sum(ss_quantity#4)#22 AS sum(ss_quantity)#23] + +(30) CometColumnarToRow [codegen id : 6] +Input [1]: [sum(ss_quantity)#22] ===== Subqueries ===== @@ -183,18 +181,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_year#24] +Output [2]: [d_date_sk#19, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [2]: [d_date_sk#19, d_year#24] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_year#23] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#19)) (33) CometProject -Input [2]: [d_date_sk#19, d_year#24] +Input [2]: [d_date_sk#19, d_year#23] Arguments: [d_date_sk#19], [d_date_sk#19] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/extended.txt index 1ef8426231..ffe4f6d22e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/simplified.txt index 0cd7e900b0..484b010a1b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q48.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (6) - HashAggregate [sum] [sum(ss_quantity),sum(ss_quantity),sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [sum(ss_quantity),sum(ss_quantity)] CometColumnarExchange #1 WholeStageCodegen (5) HashAggregate [ss_quantity] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/explain.txt index 0a43ebc390..17221af5d0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/explain.txt index a0a95bd28b..64b7f0844b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/explain.txt @@ -1,85 +1,82 @@ == Physical Plan == -TakeOrderedAndProject (81) -+- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * Expand (76) - +- Union (75) - :- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- Union (9) - : : : :- * Project (4) - : : : : +- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- * Project (8) - : : : +- * Filter (7) - : : : +- * ColumnarToRow (6) - : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : +- ReusedExchange (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- Union (32) - : : : :- * Project (27) - : : : : +- * Filter (26) - : : : : +- * ColumnarToRow (25) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : +- * Project (31) - : : : +- * Filter (30) - : : : +- * ColumnarToRow (29) - : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : +- ReusedExchange (33) - : +- BroadcastExchange (40) - : +- * CometColumnarToRow (39) - : +- CometProject (38) - : +- CometFilter (37) - : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - +- * HashAggregate (74) - +- * CometColumnarToRow (73) - +- CometColumnarExchange (72) - +- * HashAggregate (71) - +- * Project (70) - +- * BroadcastHashJoin Inner BuildRight (69) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- Union (60) - : : :- * Project (50) - : : : +- * Filter (49) - : : : +- * ColumnarToRow (48) - : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : +- * Project (59) - : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : :- BroadcastExchange (53) - : : : +- * ColumnarToRow (52) - : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : +- * CometColumnarToRow (57) - : : +- CometProject (56) - : : +- CometFilter (55) - : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : +- ReusedExchange (61) - +- BroadcastExchange (68) - +- * CometColumnarToRow (67) - +- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.web_site (64) +* CometColumnarToRow (78) ++- CometTakeOrderedAndProject (77) + +- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometExpand (73) + +- CometUnion (72) + :- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- Union (9) + : : : :- * Project (4) + : : : : +- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- * Project (8) + : : : +- * Filter (7) + : : : +- * ColumnarToRow (6) + : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : +- ReusedExchange (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + :- CometHashAggregate (44) + : +- CometColumnarExchange (43) + : +- * HashAggregate (42) + : +- * Project (41) + : +- * BroadcastHashJoin Inner BuildRight (40) + : :- * Project (34) + : : +- * BroadcastHashJoin Inner BuildRight (33) + : : :- Union (31) + : : : :- * Project (26) + : : : : +- * Filter (25) + : : : : +- * ColumnarToRow (24) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : +- * Project (30) + : : : +- * Filter (29) + : : : +- * ColumnarToRow (28) + : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : +- ReusedExchange (32) + : +- BroadcastExchange (39) + : +- * CometColumnarToRow (38) + : +- CometProject (37) + : +- CometFilter (36) + : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildRight (60) + : :- Union (58) + : : :- * Project (48) + : : : +- * Filter (47) + : : : +- * ColumnarToRow (46) + : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : +- * Project (57) + : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : :- BroadcastExchange (51) + : : : +- * ColumnarToRow (50) + : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : +- * CometColumnarToRow (55) + : : +- CometProject (54) + : : +- CometFilter (53) + : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : +- ReusedExchange (59) + +- BroadcastExchange (66) + +- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.web_site (62) (1) Scan parquet spark_catalog.default.store_sales @@ -122,7 +119,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 86] +(10) ReusedExchange [Reuses operator id: 83] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -178,322 +175,306 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#38, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#39, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#40, store channel AS channel#41, concat(store, s_store_id#25) AS id#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#65, 16, true, false, true) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#56, 16, true, false, true) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#79, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#80, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#81, catalog channel AS channel#82, concat(catalog_page, cp_catalog_page_id#66) AS id#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#111, 16, true, false, true) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#93, 16, true, false, true) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#125, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#126, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#127, web channel AS channel#128, concat(web_site, web_site_id#112) AS id#129] - -(75) Union - -(76) Expand [codegen id : 20] -Input [5]: [sales#38, returns#39, profit#40, channel#41, id#42] -Arguments: [[sales#38, returns#39, profit#40, channel#41, id#42, 0], [sales#38, returns#39, profit#40, channel#41, null, 1], [sales#38, returns#39, profit#40, null, null, 3]], [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] - -(77) HashAggregate [codegen id : 20] -Input [6]: [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [partial_sum(sales#38), partial_sum(returns#39), partial_sum(profit#40)] -Aggregate Attributes [6]: [sum#133, isEmpty#134, sum#135, isEmpty#136, sum#137, isEmpty#138] -Results [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(78) CometColumnarExchange -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Arguments: hashpartitioning(channel#130, id#131, spark_grouping_id#132, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(79) CometColumnarToRow [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(80) HashAggregate [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [sum(sales#38), sum(returns#39), sum(profit#40)] -Aggregate Attributes [3]: [sum(sales#38)#145, sum(returns#39)#146, sum(profit#40)#147] -Results [5]: [channel#130, id#131, sum(sales#38)#145 AS sales#148, sum(returns#39)#146 AS returns#149, sum(profit#40)#147 AS profit#150] - -(81) TakeOrderedAndProject -Input [5]: [channel#130, id#131, sales#148, returns#149, profit#150] -Arguments: 100, [channel#130 ASC NULLS FIRST, id#131 ASC NULLS FIRST], [channel#130, id#131, sales#148, returns#149, profit#150] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Child 1 Input [5]: [sales#108, returns#109, profit#110, channel#111, id#112] +Child 2 Input [5]: [sales#113, returns#114, profit#115, channel#116, id#117] + +(73) CometExpand +Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Arguments: [[sales#103, returns#104, profit#105, channel#106, id#107, 0], [sales#103, returns#104, profit#105, channel#106, null, 1], [sales#103, returns#104, profit#105, null, null, 3]], [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] + +(74) CometHashAggregate +Input [6]: [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [partial_sum(sales#103), partial_sum(returns#104), partial_sum(profit#105)] + +(75) CometExchange +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Arguments: hashpartitioning(channel#118, id#119, spark_grouping_id#120, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [sum(sales#103), sum(returns#104), sum(profit#105)] + +(77) CometTakeOrderedAndProject +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#118 ASC NULLS FIRST,id#119 ASC NULLS FIRST], output=[channel#118,id#119,sales#127,returns#128,profit#129]), [channel#118, id#119, sales#127, returns#128, profit#129], 100, 0, [channel#118 ASC NULLS FIRST, id#119 ASC NULLS FIRST], [channel#118, id#119, sales#127, returns#128, profit#129] + +(78) CometColumnarToRow [codegen id : 17] +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (86) -+- * CometColumnarToRow (85) - +- CometProject (84) - +- CometFilter (83) - +- CometNativeScan parquet spark_catalog.default.date_dim (82) +BroadcastExchange (83) ++- * CometColumnarToRow (82) + +- CometProject (81) + +- CometFilter (80) + +- CometNativeScan parquet spark_catalog.default.date_dim (79) -(82) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#151] +(79) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#130] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-06), IsNotNull(d_date_sk)] ReadSchema: struct -(83) CometFilter -Input [2]: [d_date_sk#22, d_date#151] -Condition : (((isnotnull(d_date#151) AND (d_date#151 >= 2000-08-23)) AND (d_date#151 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) +(80) CometFilter +Input [2]: [d_date_sk#22, d_date#130] +Condition : (((isnotnull(d_date#130) AND (d_date#130 >= 2000-08-23)) AND (d_date#130 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) -(84) CometProject -Input [2]: [d_date_sk#22, d_date#151] +(81) CometProject +Input [2]: [d_date_sk#22, d_date#130] Arguments: [d_date_sk#22], [d_date_sk#22] -(85) CometColumnarToRow [codegen id : 1] +(82) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(86) BroadcastExchange +(83) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/extended.txt index 60352ef90a..88064e71a8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/extended.txt @@ -1,106 +1,103 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 86 eligible operators (41%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/simplified.txt index 9dc4fc19c7..839d067d85 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q5.native_datafusion/simplified.txt @@ -1,137 +1,126 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (21) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (20) - HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Expand [sales,returns,profit,channel,id] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #2 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] +WholeStageCodegen (17) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id,spark_grouping_id] #1 + CometHashAggregate [sales,returns,profit] [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExpand [channel,id] [sales,returns,profit,channel,id,spark_grouping_id] + CometUnion [sales,returns,profit,channel,id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),s_store_id] + CometColumnarExchange [s_store_id] #2 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),cp_catalog_page_id] + CometColumnarExchange [cp_catalog_page_id] #5 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),web_site_id] + CometColumnarExchange [web_site_id] #7 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cp_catalog_page_id] #5 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [web_site_id] #7 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + BroadcastExchange #8 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/explain.txt index de9a1cd3ec..0cd6792361 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * HashAggregate (29) - +- * CometColumnarToRow (28) +* CometColumnarToRow (30) ++- CometTakeOrderedAndProject (29) + +- CometHashAggregate (28) +- CometColumnarExchange (27) +- * HashAggregate (26) +- * Project (25) @@ -159,19 +159,17 @@ Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_na Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Arguments: hashpartitioning(s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(28) CometColumnarToRow [codegen id : 6] -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] - -(29) HashAggregate [codegen id : 6] +(28) CometHashAggregate Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Keys [10]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25] Functions [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)] -Aggregate Attributes [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42] -Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38 AS 30 days #43, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39 AS 31 - 60 days #44, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40 AS 61 - 90 days #45, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41 AS 91 - 120 days #46, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42 AS >120 days #47] -(30) TakeOrderedAndProject -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] -Arguments: 100, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] +(29) CometTakeOrderedAndProject +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#12 ASC NULLS FIRST,s_company_id#13 ASC NULLS FIRST,s_street_number#14 ASC NULLS FIRST,s_street_name#15 ASC NULLS FIRST,s_street_type#22 ASC NULLS FIRST,s_suite_number#23 ASC NULLS FIRST,s_city#18 ASC NULLS FIRST,s_county#19 ASC NULLS FIRST,s_state#24 ASC NULLS FIRST,s_zip#25 ASC NULLS FIRST], output=[s_store_name#12,s_company_id#13,s_street_number#14,s_street_name#15,s_street_type#22,s_suite_number#23,s_city#18,s_county#19,s_state#24,s_zip#25,30 days #38,31 - 60 days #39,61 - 90 days #40,91 - 120 days #41,>120 days #42]), [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42], 100, 0, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] + +(30) CometColumnarToRow [codegen id : 6] +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] ===== Subqueries ===== @@ -184,18 +182,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#27, d_year#48, d_moy#49] +Output [3]: [d_date_sk#27, d_year#43, d_moy#44] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,8), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#49)) AND (d_year#48 = 2001)) AND (d_moy#49 = 8)) AND isnotnull(d_date_sk#27)) +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] +Condition : ((((isnotnull(d_year#43) AND isnotnull(d_moy#44)) AND (d_year#43 = 2001)) AND (d_moy#44 = 8)) AND isnotnull(d_date_sk#27)) (33) CometProject -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] Arguments: [d_date_sk#27], [d_date_sk#27] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/extended.txt index 6ece21441c..babe7d6a33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/simplified.txt index 186c041b09..0a9ef0f315 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q50.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] - WholeStageCodegen (6) - HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sum,sum,sum,sum,sum] [sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END),30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] + CometHashAggregate [sum,sum,sum,sum,sum] [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END)] CometColumnarExchange [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip] #1 WholeStageCodegen (5) HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sr_returned_date_sk,ss_sold_date_sk] [sum,sum,sum,sum,sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/explain.txt index 9af40029c8..f17ae036f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/explain.txt @@ -1,46 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (42) -+- * Filter (41) - +- Window (40) - +- * CometColumnarToRow (39) - +- CometSort (38) - +- CometExchange (37) - +- CometProject (36) - +- CometSortMergeJoin (35) - :- CometSort (17) - : +- CometColumnarExchange (16) - : +- * Project (15) - : +- Window (14) - : +- * CometColumnarToRow (13) - : +- CometSort (12) - : +- CometColumnarExchange (11) - : +- * HashAggregate (10) - : +- * CometColumnarToRow (9) - : +- CometColumnarExchange (8) - : +- * HashAggregate (7) - : +- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- Window (31) - +- * CometColumnarToRow (30) - +- CometSort (29) - +- CometColumnarExchange (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- CometColumnarExchange (25) - +- * HashAggregate (24) - +- * Project (23) - +- * BroadcastHashJoin Inner BuildRight (22) - :- * Filter (20) - : +- * ColumnarToRow (19) - : +- Scan parquet spark_catalog.default.store_sales (18) - +- ReusedExchange (21) +TakeOrderedAndProject (40) ++- * Filter (39) + +- Window (38) + +- * CometColumnarToRow (37) + +- CometSort (36) + +- CometExchange (35) + +- CometProject (34) + +- CometSortMergeJoin (33) + :- CometSort (16) + : +- CometColumnarExchange (15) + : +- * Project (14) + : +- Window (13) + : +- * CometColumnarToRow (12) + : +- CometSort (11) + : +- CometExchange (10) + : +- CometHashAggregate (9) + : +- CometColumnarExchange (8) + : +- * HashAggregate (7) + : +- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- CometSort (32) + +- CometColumnarExchange (31) + +- * Project (30) + +- Window (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometExchange (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Filter (19) + : +- * ColumnarToRow (18) + : +- Scan parquet spark_catalog.default.store_sales (17) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.web_sales @@ -58,7 +56,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 47] +(4) ReusedExchange [Reuses operator id: 45] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -82,183 +80,173 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS _w0#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [sum(_w0#11) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [sum(_w0#10) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 5] -Output [3]: [item_sk#10, d_date#6, cume_sales#12] -Input [5]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1, cume_sales#12] +(14) Project [codegen id : 4] +Output [3]: [item_sk#9, d_date#6, cume_sales#11] +Input [5]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1, cume_sales#11] -(16) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(15) CometColumnarExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(17) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: [item_sk#10, d_date#6, cume_sales#12], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(16) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: [item_sk#9, d_date#6, cume_sales#11], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(18) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(17) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#15), dynamicpruningexpression(ss_sold_date_sk#15 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] -(20) Filter [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] -Condition : isnotnull(ss_item_sk#13) +(19) Filter [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_item_sk#12) -(21) ReusedExchange [Reuses operator id: 47] -Output [2]: [d_date_sk#16, d_date#17] +(20) ReusedExchange [Reuses operator id: 45] +Output [2]: [d_date_sk#15, d_date#16] -(22) BroadcastHashJoin [codegen id : 7] -Left keys [1]: [ss_sold_date_sk#15] -Right keys [1]: [d_date_sk#16] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#15] Join type: Inner Join condition: None -(23) Project [codegen id : 7] -Output [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Input [5]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15, d_date_sk#16, d_date#17] - -(24) HashAggregate [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum#18] -Results [3]: [ss_item_sk#13, d_date#17, sum#19] +(22) Project [codegen id : 6] +Output [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Input [5]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14, d_date_sk#15, d_date#16] -(25) CometColumnarExchange -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Arguments: hashpartitioning(ss_item_sk#13, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) HashAggregate [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#13))] +Aggregate Attributes [1]: [sum#17] +Results [3]: [ss_item_sk#12, d_date#16, sum#18] -(26) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] +(24) CometColumnarExchange +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Arguments: hashpartitioning(ss_item_sk#12, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) HashAggregate [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#14))#20] -Results [4]: [ss_item_sk#13 AS item_sk#21, d_date#17, MakeDecimal(sum(UnscaledValue(ss_sales_price#14))#20,17,2) AS _w0#22, ss_item_sk#13] +(25) CometHashAggregate +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [sum(UnscaledValue(ss_sales_price#13))] -(28) CometColumnarExchange -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: hashpartitioning(ss_item_sk#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(26) CometExchange +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: hashpartitioning(ss_item_sk#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(29) CometSort -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13], [ss_item_sk#13 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(27) CometSort +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12], [ss_item_sk#12 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(30) CometColumnarToRow [codegen id : 9] -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] +(28) CometColumnarToRow [codegen id : 7] +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] -(31) Window -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [sum(_w0#22) windowspecdefinition(ss_item_sk#13, d_date#17 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#23], [ss_item_sk#13], [d_date#17 ASC NULLS FIRST] +(29) Window +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [sum(_w0#20) windowspecdefinition(ss_item_sk#12, d_date#16 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#21], [ss_item_sk#12], [d_date#16 ASC NULLS FIRST] -(32) Project [codegen id : 10] -Output [3]: [item_sk#21, d_date#17, cume_sales#23] -Input [5]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13, cume_sales#23] +(30) Project [codegen id : 8] +Output [3]: [item_sk#19, d_date#16, cume_sales#21] +Input [5]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12, cume_sales#21] -(33) CometColumnarExchange -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: hashpartitioning(item_sk#21, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(31) CometColumnarExchange +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: hashpartitioning(item_sk#19, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(34) CometSort -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#21, d_date#17, cume_sales#23], [item_sk#21 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(32) CometSort +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#19, d_date#16, cume_sales#21], [item_sk#19 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(35) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#12] -Right output [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#10, d_date#6], [item_sk#21, d_date#17], FullOuter +(33) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#11] +Right output [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#9, d_date#6], [item_sk#19, d_date#16], FullOuter -(36) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#12, item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#21 END AS item_sk#24, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#17 END AS d_date#25, cume_sales#12 AS web_sales#26, cume_sales#23 AS store_sales#27] +(34) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#11, item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#19 END AS item_sk#22, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#16 END AS d_date#23, cume_sales#11 AS web_sales#24, cume_sales#21 AS store_sales#25] -(37) CometExchange -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: hashpartitioning(item_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(35) CometExchange +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: hashpartitioning(item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(38) CometSort -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST] +(36) CometSort +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST] -(39) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] +(37) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] -(40) Window -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [max(web_sales#26) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#28, max(store_sales#27) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#29], [item_sk#24], [d_date#25 ASC NULLS FIRST] +(38) Window +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [max(web_sales#24) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#26, max(store_sales#25) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#27], [item_sk#22], [d_date#23 ASC NULLS FIRST] -(41) Filter [codegen id : 12] -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Condition : ((isnotnull(web_cumulative#28) AND isnotnull(store_cumulative#29)) AND (web_cumulative#28 > store_cumulative#29)) +(39) Filter [codegen id : 10] +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Condition : ((isnotnull(web_cumulative#26) AND isnotnull(store_cumulative#27)) AND (web_cumulative#26 > store_cumulative#27)) -(42) TakeOrderedAndProject -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Arguments: 100, [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST], [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] +(40) TakeOrderedAndProject +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Arguments: 100, [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST], [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (47) -+- * CometColumnarToRow (46) - +- CometProject (45) - +- CometFilter (44) - +- CometNativeScan parquet spark_catalog.default.date_dim (43) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(43) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(44) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] -Condition : (((isnotnull(d_month_seq#30) AND (d_month_seq#30 >= 1200)) AND (d_month_seq#30 <= 1211)) AND isnotnull(d_date_sk#5)) +(42) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#5)) -(45) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(43) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(46) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(47) BroadcastExchange +(45) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -Subquery:2 Hosting operator id = 18 Hosting Expression = ss_sold_date_sk#15 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/extended.txt index 9dc007f5e9..4a15646c08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/extended.txt @@ -12,48 +12,46 @@ TakeOrderedAndProject : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort +- CometColumnarExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 25 out of 47 eligible operators (53%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/simplified.txt index 51d3f11ae6..ba94b57292 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q51.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (12) + WholeStageCodegen (10) Filter [web_cumulative,store_cumulative] InputAdapter Window [web_sales,item_sk,d_date,store_sales] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -12,62 +12,56 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) + WholeStageCodegen (4) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ws_item_sk] - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #4 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ws_item_sk] #3 + CometHashAggregate [sum] [item_sk,d_date,_w0,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #4 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #6 - WholeStageCodegen (10) + WholeStageCodegen (8) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ss_item_sk,d_date] - WholeStageCodegen (9) + WholeStageCodegen (7) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ss_item_sk] - CometColumnarExchange [ss_item_sk] #7 - WholeStageCodegen (8) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #8 - WholeStageCodegen (7) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ss_item_sk] #7 + CometHashAggregate [sum] [item_sk,d_date,_w0,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #8 + WholeStageCodegen (6) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/explain.txt index f8c8dd3bf2..2b2fa22604 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manufact_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manufact_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_qoy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manufact_id#5, d_qoy#16, sum#19] Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Arguments: hashpartitioning(i_manufact_id#5, d_qoy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Keys [2]: [i_manufact_id#5, d_qoy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manufact_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [i_manufact_id#5, sum_sales#21, _w0#22], [i_manufact_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [i_manufact_id#5, sum_sales#20, _w0#21], [i_manufact_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#23], [i_manufact_id#5] +(26) Window +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#22], [i_manufact_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] -Condition : CASE WHEN (avg_quarterly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_quarterly_sales#23)) / avg_quarterly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] +Condition : CASE WHEN (avg_quarterly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_quarterly_sales#22)) / avg_quarterly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Arguments: 100, [avg_quarterly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Arguments: 100, [avg_quarterly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Arguments: [d_date_sk#15, d_qoy#16], [d_date_sk#15, d_qoy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_qoy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_qoy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/simplified.txt index 63c3e1a17a..f42de7b17a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q53.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [avg_quarterly_sales,sum_sales,i_manufact_id] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manufact_id,sum_sales,avg_quarterly_sales] Filter [avg_quarterly_sales,sum_sales] InputAdapter Window [_w0,i_manufact_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manufact_id,sum_sales,_w0] - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manufact_id,d_qoy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id,d_qoy] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] - Project [i_manufact_id,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manufact_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + CometExchange [i_manufact_id] #1 + CometHashAggregate [d_qoy,sum] [i_manufact_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manufact_id,d_qoy] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] + Project [i_manufact_id,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_qoy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manufact_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_qoy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/explain.txt index bf3e53cb21..94fb31d785 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/explain.txt @@ -1,65 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (61) -+- * HashAggregate (60) - +- * CometColumnarToRow (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (49) - : +- * BroadcastHashJoin Inner BuildRight (48) - : :- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * CometColumnarToRow (29) - : : : : +- CometHashAggregate (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (19) - : : : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : : : :- * Project (16) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) - : : : : : : :- Union (9) - : : : : : : : :- * Project (4) - : : : : : : : : +- * Filter (3) - : : : : : : : : +- * ColumnarToRow (2) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : : +- * Project (8) - : : : : : : : +- * Filter (7) - : : : : : : : +- * ColumnarToRow (6) - : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) - : : : : : : +- BroadcastExchange (14) - : : : : : : +- * CometColumnarToRow (13) - : : : : : : +- CometProject (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- ReusedExchange (17) - : : : : +- BroadcastExchange (23) - : : : : +- * CometColumnarToRow (22) - : : : : +- CometFilter (21) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) - : : : +- BroadcastExchange (33) - : : : +- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) - : +- BroadcastExchange (47) - : +- * CometColumnarToRow (46) - : +- CometProject (45) - : +- CometFilter (44) - : +- CometNativeScan parquet spark_catalog.default.store (43) - +- ReusedExchange (50) +* CometColumnarToRow (60) ++- CometTakeOrderedAndProject (59) + +- CometHashAggregate (58) + +- CometExchange (57) + +- CometHashAggregate (56) + +- CometHashAggregate (55) + +- CometColumnarExchange (54) + +- * HashAggregate (53) + +- * Project (52) + +- * BroadcastHashJoin Inner BuildRight (51) + :- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (42) + : : +- * BroadcastHashJoin Inner BuildRight (41) + : : :- * Project (35) + : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : :- * CometColumnarToRow (29) + : : : : +- CometHashAggregate (28) + : : : : +- CometColumnarExchange (27) + : : : : +- * HashAggregate (26) + : : : : +- * Project (25) + : : : : +- * BroadcastHashJoin Inner BuildRight (24) + : : : : :- * Project (19) + : : : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : : : :- * Project (16) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) + : : : : : : :- Union (9) + : : : : : : : :- * Project (4) + : : : : : : : : +- * Filter (3) + : : : : : : : : +- * ColumnarToRow (2) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : : +- * Project (8) + : : : : : : : +- * Filter (7) + : : : : : : : +- * ColumnarToRow (6) + : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) + : : : : : : +- BroadcastExchange (14) + : : : : : : +- * CometColumnarToRow (13) + : : : : : : +- CometProject (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- ReusedExchange (17) + : : : : +- BroadcastExchange (23) + : : : : +- * CometColumnarToRow (22) + : : : : +- CometFilter (21) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) + : : : +- BroadcastExchange (33) + : : : +- * Filter (32) + : : : +- * ColumnarToRow (31) + : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : +- BroadcastExchange (40) + : : +- * CometColumnarToRow (39) + : : +- CometProject (38) + : : +- CometFilter (37) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) + : +- BroadcastExchange (47) + : +- * CometColumnarToRow (46) + : +- CometProject (45) + : +- CometFilter (44) + : +- CometNativeScan parquet spark_catalog.default.store (43) + +- ReusedExchange (50) (1) Scan parquet spark_catalog.default.catalog_sales @@ -134,7 +133,7 @@ Join condition: None Output [2]: [sold_date_sk#5, customer_sk#6] Input [4]: [sold_date_sk#5, customer_sk#6, item_sk#7, i_item_sk#14] -(17) ReusedExchange [Reuses operator id: 66] +(17) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#17] (18) BroadcastHashJoin [codegen id : 6] @@ -287,7 +286,7 @@ Join condition: None Output [3]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22] Input [7]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_county#25, ca_state#27, s_county#28, s_state#30] -(50) ReusedExchange [Reuses operator id: 71] +(50) ReusedExchange [Reuses operator id: 70] Output [1]: [d_date_sk#31] (51) BroadcastHashJoin [codegen id : 11] @@ -311,187 +310,178 @@ Results [2]: [c_customer_sk#18, sum#33] Input [2]: [c_customer_sk#18, sum#33] Arguments: hashpartitioning(c_customer_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(55) CometColumnarToRow [codegen id : 12] -Input [2]: [c_customer_sk#18, sum#33] - -(56) HashAggregate [codegen id : 12] +(55) CometHashAggregate Input [2]: [c_customer_sk#18, sum#33] Keys [1]: [c_customer_sk#18] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#21))#34] -Results [1]: [cast((MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#21))#34,17,2) / 50) as int) AS segment#35] -(57) HashAggregate [codegen id : 12] -Input [1]: [segment#35] -Keys [1]: [segment#35] +(56) CometHashAggregate +Input [1]: [segment#34] +Keys [1]: [segment#34] Functions [1]: [partial_count(1)] -Aggregate Attributes [1]: [count#36] -Results [2]: [segment#35, count#37] -(58) CometColumnarExchange -Input [2]: [segment#35, count#37] -Arguments: hashpartitioning(segment#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(57) CometExchange +Input [2]: [segment#34, count#35] +Arguments: hashpartitioning(segment#34, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(59) CometColumnarToRow [codegen id : 13] -Input [2]: [segment#35, count#37] - -(60) HashAggregate [codegen id : 13] -Input [2]: [segment#35, count#37] -Keys [1]: [segment#35] +(58) CometHashAggregate +Input [2]: [segment#34, count#35] +Keys [1]: [segment#34] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#38] -Results [3]: [segment#35, count(1)#38 AS num_customers#39, (segment#35 * 50) AS segment_base#40] -(61) TakeOrderedAndProject -Input [3]: [segment#35, num_customers#39, segment_base#40] -Arguments: 100, [segment#35 ASC NULLS FIRST, num_customers#39 ASC NULLS FIRST], [segment#35, num_customers#39, segment_base#40] +(59) CometTakeOrderedAndProject +Input [3]: [segment#34, num_customers#36, segment_base#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[segment#34 ASC NULLS FIRST,num_customers#36 ASC NULLS FIRST], output=[segment#34,num_customers#36,segment_base#37]), [segment#34, num_customers#36, segment_base#37], 100, 0, [segment#34 ASC NULLS FIRST, num_customers#36 ASC NULLS FIRST], [segment#34, num_customers#36, segment_base#37] + +(60) CometColumnarToRow [codegen id : 12] +Input [3]: [segment#34, num_customers#36, segment_base#37] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (66) -+- * CometColumnarToRow (65) - +- CometProject (64) - +- CometFilter (63) - +- CometNativeScan parquet spark_catalog.default.date_dim (62) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometNativeScan parquet spark_catalog.default.date_dim (61) -(62) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#17, d_year#41, d_moy#42] +(61) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#17, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(63) CometFilter -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 12)) AND (d_year#41 = 1998)) AND isnotnull(d_date_sk#17)) +(62) CometFilter +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 12)) AND (d_year#38 = 1998)) AND isnotnull(d_date_sk#17)) -(64) CometProject -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] +(63) CometProject +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] Arguments: [d_date_sk#17], [d_date_sk#17] -(65) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#17] -(66) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = ws_sold_date_sk#10 IN dynamicpruning#4 Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#23 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.date_dim (67) +BroadcastExchange (70) ++- * CometColumnarToRow (69) + +- CometProject (68) + +- CometFilter (67) + +- CometNativeScan parquet spark_catalog.default.date_dim (66) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#31, d_month_seq#43] +(66) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#31, d_month_seq#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter -Input [2]: [d_date_sk#31, d_month_seq#43] -Condition : (((isnotnull(d_month_seq#43) AND (d_month_seq#43 >= Subquery scalar-subquery#44, [id=#45])) AND (d_month_seq#43 <= Subquery scalar-subquery#46, [id=#47])) AND isnotnull(d_date_sk#31)) +(67) CometFilter +Input [2]: [d_date_sk#31, d_month_seq#40] +Condition : (((isnotnull(d_month_seq#40) AND (d_month_seq#40 >= Subquery scalar-subquery#41, [id=#42])) AND (d_month_seq#40 <= Subquery scalar-subquery#43, [id=#44])) AND isnotnull(d_date_sk#31)) -(69) CometProject -Input [2]: [d_date_sk#31, d_month_seq#43] +(68) CometProject +Input [2]: [d_date_sk#31, d_month_seq#40] Arguments: [d_date_sk#31], [d_date_sk#31] -(70) CometColumnarToRow [codegen id : 1] +(69) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#31] -(71) BroadcastExchange +(70) BroadcastExchange Input [1]: [d_date_sk#31] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] -Subquery:4 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#44, [id=#45] -* CometColumnarToRow (78) -+- CometHashAggregate (77) - +- CometExchange (76) - +- CometHashAggregate (75) - +- CometProject (74) - +- CometFilter (73) - +- CometNativeScan parquet spark_catalog.default.date_dim (72) +Subquery:4 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#41, [id=#42] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometProject (73) + +- CometFilter (72) + +- CometNativeScan parquet spark_catalog.default.date_dim (71) -(72) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#48, d_year#49, d_moy#50] +(71) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#45, d_year#46, d_moy#47] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(73) CometFilter -Input [3]: [d_month_seq#48, d_year#49, d_moy#50] -Condition : (((isnotnull(d_year#49) AND isnotnull(d_moy#50)) AND (d_year#49 = 1998)) AND (d_moy#50 = 12)) +(72) CometFilter +Input [3]: [d_month_seq#45, d_year#46, d_moy#47] +Condition : (((isnotnull(d_year#46) AND isnotnull(d_moy#47)) AND (d_year#46 = 1998)) AND (d_moy#47 = 12)) -(74) CometProject -Input [3]: [d_month_seq#48, d_year#49, d_moy#50] -Arguments: [(d_month_seq + 1)#51], [(d_month_seq#48 + 1) AS (d_month_seq + 1)#51] +(73) CometProject +Input [3]: [d_month_seq#45, d_year#46, d_moy#47] +Arguments: [(d_month_seq + 1)#48], [(d_month_seq#45 + 1) AS (d_month_seq + 1)#48] -(75) CometHashAggregate -Input [1]: [(d_month_seq + 1)#51] -Keys [1]: [(d_month_seq + 1)#51] +(74) CometHashAggregate +Input [1]: [(d_month_seq + 1)#48] +Keys [1]: [(d_month_seq + 1)#48] Functions: [] -(76) CometExchange -Input [1]: [(d_month_seq + 1)#51] -Arguments: hashpartitioning((d_month_seq + 1)#51, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(75) CometExchange +Input [1]: [(d_month_seq + 1)#48] +Arguments: hashpartitioning((d_month_seq + 1)#48, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(77) CometHashAggregate -Input [1]: [(d_month_seq + 1)#51] -Keys [1]: [(d_month_seq + 1)#51] +(76) CometHashAggregate +Input [1]: [(d_month_seq + 1)#48] +Keys [1]: [(d_month_seq + 1)#48] Functions: [] -(78) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 1)#51] +(77) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 1)#48] -Subquery:5 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#46, [id=#47] -* CometColumnarToRow (85) -+- CometHashAggregate (84) - +- CometExchange (83) - +- CometHashAggregate (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +Subquery:5 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (84) ++- CometHashAggregate (83) + +- CometExchange (82) + +- CometHashAggregate (81) + +- CometProject (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#52, d_year#53, d_moy#54] +(78) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#49, d_year#50, d_moy#51] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(80) CometFilter -Input [3]: [d_month_seq#52, d_year#53, d_moy#54] -Condition : (((isnotnull(d_year#53) AND isnotnull(d_moy#54)) AND (d_year#53 = 1998)) AND (d_moy#54 = 12)) +(79) CometFilter +Input [3]: [d_month_seq#49, d_year#50, d_moy#51] +Condition : (((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 12)) -(81) CometProject -Input [3]: [d_month_seq#52, d_year#53, d_moy#54] -Arguments: [(d_month_seq + 3)#55], [(d_month_seq#52 + 3) AS (d_month_seq + 3)#55] +(80) CometProject +Input [3]: [d_month_seq#49, d_year#50, d_moy#51] +Arguments: [(d_month_seq + 3)#52], [(d_month_seq#49 + 3) AS (d_month_seq + 3)#52] -(82) CometHashAggregate -Input [1]: [(d_month_seq + 3)#55] -Keys [1]: [(d_month_seq + 3)#55] +(81) CometHashAggregate +Input [1]: [(d_month_seq + 3)#52] +Keys [1]: [(d_month_seq + 3)#52] Functions: [] -(83) CometExchange -Input [1]: [(d_month_seq + 3)#55] -Arguments: hashpartitioning((d_month_seq + 3)#55, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] +(82) CometExchange +Input [1]: [(d_month_seq + 3)#52] +Arguments: hashpartitioning((d_month_seq + 3)#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(84) CometHashAggregate -Input [1]: [(d_month_seq + 3)#55] -Keys [1]: [(d_month_seq + 3)#55] +(83) CometHashAggregate +Input [1]: [(d_month_seq + 3)#52] +Keys [1]: [(d_month_seq + 3)#52] Functions: [] -(85) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 3)#55] +(84) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 3)#52] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/extended.txt index 6ba04a3153..f56fb4bcd6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/extended.txt @@ -1,116 +1,115 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Union - : : : : : : : :- Project - : : : : : : : : +- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- SubqueryBroadcast - : : : : : : : : +- BroadcastExchange - : : : : : : : : +- CometColumnarToRow - : : : : : : : : +- CometProject - : : : : : : : : +- CometFilter - : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : : +- Project - : : : : : : : +- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : : :- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometExchange - : : : : : +- CometHashAggregate - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometExchange - : : : : +- CometHashAggregate - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - : :- Subquery - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Subquery - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Union + : : : : : : : :- Project + : : : : : : : : +- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- SubqueryBroadcast + : : : : : : : : +- BroadcastExchange + : : : : : : : : +- CometColumnarToRow + : : : : : : : : +- CometProject + : : : : : : : : +- CometFilter + : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : : +- Project + : : : : : : : +- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : : :- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometExchange + : : : : : +- CometHashAggregate + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + : :- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 51 out of 96 eligible operators (53%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 55 out of 96 eligible operators (57%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/simplified.txt index ba04de874d..36b3855118 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q54.native_datafusion/simplified.txt @@ -1,127 +1,124 @@ -TakeOrderedAndProject [segment,num_customers,segment_base] - WholeStageCodegen (13) - HashAggregate [segment,count] [count(1),num_customers,segment_base,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [segment] #1 - WholeStageCodegen (12) - HashAggregate [segment] [count,count] - HashAggregate [c_customer_sk,sum] [sum(UnscaledValue(ss_ext_sales_price)),segment,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #2 - WholeStageCodegen (11) - HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] - Project [c_customer_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [ca_county,ca_state,s_county,s_state] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometHashAggregate [c_customer_sk,c_current_addr_sk] - CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 - WholeStageCodegen (6) - HashAggregate [c_customer_sk,c_current_addr_sk] - Project [c_customer_sk,c_current_addr_sk] - BroadcastHashJoin [customer_sk,c_customer_sk] - Project [customer_sk] - BroadcastHashJoin [sold_date_sk,d_date_sk] - Project [sold_date_sk,customer_sk] - BroadcastHashJoin [item_sk,i_item_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] - Filter [cs_item_sk,cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - WholeStageCodegen (2) - Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] - Filter [ws_item_sk,ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_sk] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (7) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - Subquery #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 1)] - CometExchange [(d_month_seq + 1)] #9 - CometHashAggregate [(d_month_seq + 1)] - CometProject [d_month_seq] [(d_month_seq + 1)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] - Subquery #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 3)] - CometExchange [(d_month_seq + 3)] #10 - CometHashAggregate [(d_month_seq + 3)] - CometProject [d_month_seq] [(d_month_seq + 3)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] +WholeStageCodegen (12) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [segment,num_customers,segment_base] + CometHashAggregate [count] [segment,num_customers,segment_base,count(1)] + CometExchange [segment] #1 + CometHashAggregate [segment,count] + CometHashAggregate [c_customer_sk,sum] [segment,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [c_customer_sk] #2 + WholeStageCodegen (11) + HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] + Project [c_customer_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [ca_county,ca_state,s_county,s_state] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #11 - WholeStageCodegen (8) - CometColumnarToRow + CometHashAggregate [c_customer_sk,c_current_addr_sk] + CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 + WholeStageCodegen (6) + HashAggregate [c_customer_sk,c_current_addr_sk] + Project [c_customer_sk,c_current_addr_sk] + BroadcastHashJoin [customer_sk,c_customer_sk] + Project [customer_sk] + BroadcastHashJoin [sold_date_sk,d_date_sk] + Project [sold_date_sk,customer_sk] + BroadcastHashJoin [item_sk,i_item_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] + Filter [cs_item_sk,cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + WholeStageCodegen (2) + Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] + Filter [ws_item_sk,ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_sk] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Filter [ss_customer_sk] + ColumnarToRow InputAdapter - CometProject [ca_state] [ca_address_sk,ca_county,ca_state] - CometFilter [ca_address_sk,ca_county,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_county,s_state] - CometFilter [s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_county,s_state] - InputAdapter - ReusedExchange [d_date_sk] #8 + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + Subquery #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 1)] + CometExchange [(d_month_seq + 1)] #9 + CometHashAggregate [(d_month_seq + 1)] + CometProject [d_month_seq] [(d_month_seq + 1)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + Subquery #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 3)] + CometExchange [(d_month_seq + 3)] #10 + CometHashAggregate [(d_month_seq + 3)] + CometProject [d_month_seq] [(d_month_seq + 3)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [ca_state] [ca_address_sk,ca_county,ca_state] + CometFilter [ca_address_sk,ca_county,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_county,s_state] + CometFilter [s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_county,s_state] + InputAdapter + ReusedExchange [d_date_sk] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/explain.txt index 62396854a7..a555c3da8e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -194,227 +191,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 2001)) AND (d_moy#51 = 2)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 2001)) AND (d_moy#45 = 2)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/simplified.txt index 81d90bdfb2..30fea52641 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q56.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [total_sales,i_item_id] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_color] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_color] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/explain.txt index c3ba92766c..b323acd26a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] -Keys [5]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25] -Functions [1]: [sum(UnscaledValue(cs_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#27))#18] -Results [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, MakeDecimal(sum(UnscaledValue(cs_sales_price#27))#18,17,2) AS sum_sales#19] +(32) CometHashAggregate +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] +Keys [5]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24] +Functions [1]: [sum(UnscaledValue(cs_sales_price#26))] -(35) CometColumnarExchange -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#23 ASC NULLS FIRST, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#22 ASC NULLS FIRST, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] -(38) Window -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [rank(d_year#24, d_moy#25) windowspecdefinition(i_category#5, i_brand#4, cc_name#23, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#28], [i_category#5, i_brand#4, cc_name#23], [d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [rank(d_year#23, d_moy#24) windowspecdefinition(i_category#5, i_brand#4, cc_name#22, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#27], [i_category#5, i_brand#4, cc_name#22], [d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#5 AS i_category#29, i_brand#4 AS i_brand#30, cc_name#23, sum_sales#19 AS sum_sales#31, rn#28] -Input [7]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19, rn#28] +(37) Project [codegen id : 12] +Output [5]: [i_category#5 AS i_category#28, i_brand#4 AS i_brand#29, cc_name#22, sum_sales#18 AS sum_sales#30, rn#27] +Input [7]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18, rn#27] -(40) BroadcastExchange -Input [5]: [i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(38) BroadcastExchange +Input [5]: [i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#29, i_brand#30, cc_name#23, (rn#28 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#28, i_brand#29, cc_name#22, (rn#27 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(44) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#32 ASC NULLS FIRST, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(46) Window -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [rank(d_year#33, d_moy#34) windowspecdefinition(i_category#5, i_brand#4, cc_name#32, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#35], [i_category#5, i_brand#4, cc_name#32], [d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [rank(d_year#32, d_moy#33) windowspecdefinition(i_category#5, i_brand#4, cc_name#31, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#34], [i_category#5, i_brand#4, cc_name#31], [d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#5 AS i_category#36, i_brand#4 AS i_brand#37, cc_name#32, sum_sales#19 AS sum_sales#38, rn#35] -Input [7]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19, rn#35] +(45) Project [codegen id : 18] +Output [5]: [i_category#5 AS i_category#35, i_brand#4 AS i_brand#36, cc_name#31, sum_sales#18 AS sum_sales#37, rn#34] +Input [7]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18, rn#34] -(48) BroadcastExchange -Input [5]: [i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(46) BroadcastExchange +Input [5]: [i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#36, i_brand#37, cc_name#32, (rn#35 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#35, i_brand#36, cc_name#31, (rn#34 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#39, sum_sales#38 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(48) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#30 AS psum#38, sum_sales#37 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30, i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] -(51) TakeOrderedAndProject -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/simplified.txt index 4f9ac35f4d..320acb9508 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,cc_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_ Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/explain.txt index 34406110bc..6b1c727660 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/explain.txt @@ -1,57 +1,55 @@ == Physical Plan == -TakeOrderedAndProject (53) -+- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (35) - : +- * BroadcastHashJoin Inner BuildRight (34) - : :- * Filter (18) - : : +- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (33) - : +- * Filter (32) - : +- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Filter (21) - : : : +- * ColumnarToRow (20) - : : : +- Scan parquet spark_catalog.default.catalog_sales (19) - : : +- ReusedExchange (22) - : +- ReusedExchange (25) - +- BroadcastExchange (50) - +- * Filter (49) - +- * HashAggregate (48) - +- * CometColumnarToRow (47) - +- CometColumnarExchange (46) - +- * HashAggregate (45) - +- * Project (44) - +- * BroadcastHashJoin Inner BuildRight (43) - :- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Filter (38) - : : +- * ColumnarToRow (37) - : : +- Scan parquet spark_catalog.default.web_sales (36) - : +- ReusedExchange (39) - +- ReusedExchange (42) +* CometColumnarToRow (51) ++- CometTakeOrderedAndProject (50) + +- CometProject (49) + +- CometBroadcastHashJoin (48) + :- CometProject (33) + : +- CometBroadcastHashJoin (32) + : :- CometFilter (17) + : : +- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (31) + : +- CometFilter (30) + : +- CometHashAggregate (29) + : +- CometColumnarExchange (28) + : +- * HashAggregate (27) + : +- * Project (26) + : +- * BroadcastHashJoin Inner BuildRight (25) + : :- * Project (23) + : : +- * BroadcastHashJoin Inner BuildRight (22) + : : :- * Filter (20) + : : : +- * ColumnarToRow (19) + : : : +- Scan parquet spark_catalog.default.catalog_sales (18) + : : +- ReusedExchange (21) + : +- ReusedExchange (24) + +- CometBroadcastExchange (47) + +- CometFilter (46) + +- CometHashAggregate (45) + +- CometColumnarExchange (44) + +- * HashAggregate (43) + +- * Project (42) + +- * BroadcastHashJoin Inner BuildRight (41) + :- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Filter (36) + : : +- * ColumnarToRow (35) + : : +- Scan parquet spark_catalog.default.web_sales (34) + : +- ReusedExchange (37) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.store_sales @@ -101,7 +99,7 @@ Join condition: None Output [3]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#7] Input [5]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 63] +(11) ReusedExchange [Reuses operator id: 61] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -125,272 +123,258 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#11] -Results [2]: [i_item_id#7 AS item_id#12, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#11,17,2) AS ss_item_rev#13] -(18) Filter [codegen id : 12] -Input [2]: [item_id#12, ss_item_rev#13] -Condition : isnotnull(ss_item_rev#13) +(17) CometFilter +Input [2]: [item_id#11, ss_item_rev#12] +Condition : isnotnull(ss_item_rev#12) -(19) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(18) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#16), dynamicpruningexpression(cs_sold_date_sk#16 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(cs_sold_date_sk#15), dynamicpruningexpression(cs_sold_date_sk#15 IN dynamicpruning#4)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(19) ColumnarToRow [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] -(21) Filter [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] -Condition : isnotnull(cs_item_sk#14) +(20) Filter [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] +Condition : isnotnull(cs_item_sk#13) -(22) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#17, i_item_id#18] +(21) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#16, i_item_id#17] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_item_sk#14] -Right keys [1]: [i_item_sk#17] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_item_sk#13] +Right keys [1]: [i_item_sk#16] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#18] -Input [5]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_sk#17, i_item_id#18] +(23) Project [codegen id : 6] +Output [3]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#17] +Input [5]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_sk#16, i_item_id#17] -(25) ReusedExchange [Reuses operator id: 63] -Output [1]: [d_date_sk#19] +(24) ReusedExchange [Reuses operator id: 61] +Output [1]: [d_date_sk#18] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_sold_date_sk#16] -Right keys [1]: [d_date_sk#19] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_sold_date_sk#15] +Right keys [1]: [d_date_sk#18] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [2]: [cs_ext_sales_price#15, i_item_id#18] -Input [4]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#18, d_date_sk#19] - -(28) HashAggregate [codegen id : 6] -Input [2]: [cs_ext_sales_price#15, i_item_id#18] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#20] -Results [2]: [i_item_id#18, sum#21] - -(29) CometColumnarExchange -Input [2]: [i_item_id#18, sum#21] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] - -(31) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#15))#22] -Results [2]: [i_item_id#18 AS item_id#23, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#15))#22,17,2) AS cs_item_rev#24] - -(32) Filter [codegen id : 7] -Input [2]: [item_id#23, cs_item_rev#24] -Condition : isnotnull(cs_item_rev#24) - -(33) BroadcastExchange -Input [2]: [item_id#23, cs_item_rev#24] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(34) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#23] -Join type: Inner -Join condition: ((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * cs_item_rev#24)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * cs_item_rev#24))) AND (cast(cs_item_rev#24 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(cs_item_rev#24 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) - -(35) Project [codegen id : 12] -Output [3]: [item_id#12, ss_item_rev#13, cs_item_rev#24] -Input [4]: [item_id#12, ss_item_rev#13, item_id#23, cs_item_rev#24] - -(36) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] +(26) Project [codegen id : 6] +Output [2]: [cs_ext_sales_price#14, i_item_id#17] +Input [4]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#17, d_date_sk#18] + +(27) HashAggregate [codegen id : 6] +Input [2]: [cs_ext_sales_price#14, i_item_id#17] +Keys [1]: [i_item_id#17] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#14))] +Aggregate Attributes [1]: [sum#19] +Results [2]: [i_item_id#17, sum#20] + +(28) CometColumnarExchange +Input [2]: [i_item_id#17, sum#20] +Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [2]: [i_item_id#17, sum#20] +Keys [1]: [i_item_id#17] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#14))] + +(30) CometFilter +Input [2]: [item_id#21, cs_item_rev#22] +Condition : isnotnull(cs_item_rev#22) + +(31) CometBroadcastExchange +Input [2]: [item_id#21, cs_item_rev#22] +Arguments: [item_id#21, cs_item_rev#22] + +(32) CometBroadcastHashJoin +Left output [2]: [item_id#11, ss_item_rev#12] +Right output [2]: [item_id#21, cs_item_rev#22] +Arguments: [item_id#11], [item_id#21], Inner, ((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * cs_item_rev#22)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * cs_item_rev#22))) AND (cast(cs_item_rev#22 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(cs_item_rev#22 as decimal(20,3)) <= (1.1 * ss_item_rev#12))), BuildRight + +(33) CometProject +Input [4]: [item_id#11, ss_item_rev#12, item_id#21, cs_item_rev#22] +Arguments: [item_id#11, ss_item_rev#12, cs_item_rev#22], [item_id#11, ss_item_rev#12, cs_item_rev#22] + +(34) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#27), dynamicpruningexpression(ws_sold_date_sk#27 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ws_sold_date_sk#25), dynamicpruningexpression(ws_sold_date_sk#25 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(37) ColumnarToRow [codegen id : 10] -Input [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] +(35) ColumnarToRow [codegen id : 9] +Input [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] -(38) Filter [codegen id : 10] -Input [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] -Condition : isnotnull(ws_item_sk#25) +(36) Filter [codegen id : 9] +Input [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] +Condition : isnotnull(ws_item_sk#23) -(39) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#28, i_item_id#29] +(37) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#26, i_item_id#27] -(40) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#25] -Right keys [1]: [i_item_sk#28] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_item_sk#23] +Right keys [1]: [i_item_sk#26] Join type: Inner Join condition: None -(41) Project [codegen id : 10] -Output [3]: [ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_id#29] -Input [5]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_sk#28, i_item_id#29] +(39) Project [codegen id : 9] +Output [3]: [ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_id#27] +Input [5]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_sk#26, i_item_id#27] -(42) ReusedExchange [Reuses operator id: 63] -Output [1]: [d_date_sk#30] +(40) ReusedExchange [Reuses operator id: 61] +Output [1]: [d_date_sk#28] -(43) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#27] -Right keys [1]: [d_date_sk#30] +(41) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#25] +Right keys [1]: [d_date_sk#28] Join type: Inner Join condition: None -(44) Project [codegen id : 10] -Output [2]: [ws_ext_sales_price#26, i_item_id#29] -Input [4]: [ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_id#29, d_date_sk#30] - -(45) HashAggregate [codegen id : 10] -Input [2]: [ws_ext_sales_price#26, i_item_id#29] -Keys [1]: [i_item_id#29] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#26))] -Aggregate Attributes [1]: [sum#31] -Results [2]: [i_item_id#29, sum#32] - -(46) CometColumnarExchange -Input [2]: [i_item_id#29, sum#32] -Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(47) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] - -(48) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] -Keys [1]: [i_item_id#29] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#26))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#26))#33] -Results [2]: [i_item_id#29 AS item_id#34, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#26))#33,17,2) AS ws_item_rev#35] - -(49) Filter [codegen id : 11] -Input [2]: [item_id#34, ws_item_rev#35] -Condition : isnotnull(ws_item_rev#35) - -(50) BroadcastExchange -Input [2]: [item_id#34, ws_item_rev#35] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(51) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#34] -Join type: Inner -Join condition: ((((((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * ws_item_rev#35)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * ws_item_rev#35))) AND (cast(cs_item_rev#24 as decimal(19,3)) >= (0.9 * ws_item_rev#35))) AND (cast(cs_item_rev#24 as decimal(20,3)) <= (1.1 * ws_item_rev#35))) AND (cast(ws_item_rev#35 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(ws_item_rev#35 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) AND (cast(ws_item_rev#35 as decimal(19,3)) >= (0.9 * cs_item_rev#24))) AND (cast(ws_item_rev#35 as decimal(20,3)) <= (1.1 * cs_item_rev#24))) +(42) Project [codegen id : 9] +Output [2]: [ws_ext_sales_price#24, i_item_id#27] +Input [4]: [ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_id#27, d_date_sk#28] -(52) Project [codegen id : 12] -Output [8]: [item_id#12, ss_item_rev#13, (((ss_item_rev#13 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS ss_dev#36, cs_item_rev#24, (((cs_item_rev#24 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS cs_dev#37, ws_item_rev#35, (((ws_item_rev#35 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS ws_dev#38, (((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35) / 3) AS average#39] -Input [5]: [item_id#12, ss_item_rev#13, cs_item_rev#24, item_id#34, ws_item_rev#35] +(43) HashAggregate [codegen id : 9] +Input [2]: [ws_ext_sales_price#24, i_item_id#27] +Keys [1]: [i_item_id#27] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#24))] +Aggregate Attributes [1]: [sum#29] +Results [2]: [i_item_id#27, sum#30] -(53) TakeOrderedAndProject -Input [8]: [item_id#12, ss_item_rev#13, ss_dev#36, cs_item_rev#24, cs_dev#37, ws_item_rev#35, ws_dev#38, average#39] -Arguments: 100, [item_id#12 ASC NULLS FIRST, ss_item_rev#13 ASC NULLS FIRST], [item_id#12, ss_item_rev#13, ss_dev#36, cs_item_rev#24, cs_dev#37, ws_item_rev#35, ws_dev#38, average#39] +(44) CometColumnarExchange +Input [2]: [i_item_id#27, sum#30] +Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(45) CometHashAggregate +Input [2]: [i_item_id#27, sum#30] +Keys [1]: [i_item_id#27] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#24))] -Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (63) -+- * CometColumnarToRow (62) - +- CometProject (61) - +- CometBroadcastHashJoin (60) - :- CometFilter (55) - : +- CometNativeScan parquet spark_catalog.default.date_dim (54) - +- CometBroadcastExchange (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +(46) CometFilter +Input [2]: [item_id#31, ws_item_rev#32] +Condition : isnotnull(ws_item_rev#32) +(47) CometBroadcastExchange +Input [2]: [item_id#31, ws_item_rev#32] +Arguments: [item_id#31, ws_item_rev#32] -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#40] +(48) CometBroadcastHashJoin +Left output [3]: [item_id#11, ss_item_rev#12, cs_item_rev#22] +Right output [2]: [item_id#31, ws_item_rev#32] +Arguments: [item_id#11], [item_id#31], Inner, ((((((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * ws_item_rev#32)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * ws_item_rev#32))) AND (cast(cs_item_rev#22 as decimal(19,3)) >= (0.9 * ws_item_rev#32))) AND (cast(cs_item_rev#22 as decimal(20,3)) <= (1.1 * ws_item_rev#32))) AND (cast(ws_item_rev#32 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(ws_item_rev#32 as decimal(20,3)) <= (1.1 * ss_item_rev#12))) AND (cast(ws_item_rev#32 as decimal(19,3)) >= (0.9 * cs_item_rev#22))) AND (cast(ws_item_rev#32 as decimal(20,3)) <= (1.1 * cs_item_rev#22))), BuildRight + +(49) CometProject +Input [5]: [item_id#11, ss_item_rev#12, cs_item_rev#22, item_id#31, ws_item_rev#32] +Arguments: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36], [item_id#11, ss_item_rev#12, (((ss_item_rev#12 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS ss_dev#33, cs_item_rev#22, (((cs_item_rev#22 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS cs_dev#34, ws_item_rev#32, (((ws_item_rev#32 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS ws_dev#35, (((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32) / 3) AS average#36] + +(50) CometTakeOrderedAndProject +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#11 ASC NULLS FIRST,ss_item_rev#12 ASC NULLS FIRST], output=[item_id#11,ss_item_rev#12,ss_dev#33,cs_item_rev#22,cs_dev#34,ws_item_rev#32,ws_dev#35,average#36]), [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36], 100, 0, [item_id#11 ASC NULLS FIRST, ss_item_rev#12 ASC NULLS FIRST], [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] + +(51) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (61) ++- * CometColumnarToRow (60) + +- CometProject (59) + +- CometBroadcastHashJoin (58) + :- CometFilter (53) + : +- CometNativeScan parquet spark_catalog.default.date_dim (52) + +- CometBroadcastExchange (57) + +- CometProject (56) + +- CometFilter (55) + +- CometNativeScan parquet spark_catalog.default.date_dim (54) + + +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#37] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date_sk#8, d_date#40] +(53) CometFilter +Input [2]: [d_date_sk#8, d_date#37] Condition : isnotnull(d_date_sk#8) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(54) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : (isnotnull(d_week_seq#42) AND (d_week_seq#42 = Subquery scalar-subquery#43, [id=#44])) +(55) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : (isnotnull(d_week_seq#39) AND (d_week_seq#39 = Subquery scalar-subquery#40, [id=#41])) -(58) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(56) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(59) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(57) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(60) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#40] -Right output [1]: [d_date#41] -Arguments: [d_date#40], [d_date#41], LeftSemi, BuildRight +(58) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#37] +Right output [1]: [d_date#38] +Arguments: [d_date#37], [d_date#38], LeftSemi, BuildRight -(61) CometProject -Input [2]: [d_date_sk#8, d_date#40] +(59) CometProject +Input [2]: [d_date_sk#8, d_date#37] Arguments: [d_date_sk#8], [d_date_sk#8] -(62) CometColumnarToRow [codegen id : 1] +(60) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(63) BroadcastExchange +(61) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 57 Hosting Expression = Subquery scalar-subquery#43, [id=#44] -* CometColumnarToRow (67) -+- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.date_dim (64) +Subquery:2 Hosting operator id = 55 Hosting Expression = Subquery scalar-subquery#40, [id=#41] +* CometColumnarToRow (65) ++- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.date_dim (62) -(64) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#45, d_week_seq#46] +(62) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#42, d_week_seq#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), EqualTo(d_date,2000-01-03)] ReadSchema: struct -(65) CometFilter -Input [2]: [d_date#45, d_week_seq#46] -Condition : (isnotnull(d_date#45) AND (d_date#45 = 2000-01-03)) +(63) CometFilter +Input [2]: [d_date#42, d_week_seq#43] +Condition : (isnotnull(d_date#42) AND (d_date#42 = 2000-01-03)) -(66) CometProject -Input [2]: [d_date#45, d_week_seq#46] -Arguments: [d_week_seq#46], [d_week_seq#46] +(64) CometProject +Input [2]: [d_date#42, d_week_seq#43] +Arguments: [d_week_seq#43], [d_week_seq#43] -(67) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#46] +(65) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#43] -Subquery:3 Hosting operator id = 19 Hosting Expression = cs_sold_date_sk#16 IN dynamicpruning#4 +Subquery:3 Hosting operator id = 18 Hosting Expression = cs_sold_date_sk#15 IN dynamicpruning#4 -Subquery:4 Hosting operator id = 36 Hosting Expression = ws_sold_date_sk#27 IN dynamicpruning#4 +Subquery:4 Hosting operator id = 34 Hosting Expression = ws_sold_date_sk#25 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/extended.txt index 4b333b4991..17e340c852 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/extended.txt @@ -1,94 +1,92 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : : +- Subquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -120,4 +118,4 @@ TakeOrderedAndProject : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 56 out of 104 eligible operators (53%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 69 out of 104 eligible operators (66%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/simplified.txt index 94adc941c8..b4ef2716dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q58.native_datafusion/simplified.txt @@ -1,13 +1,13 @@ -TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] - WholeStageCodegen (12) - Project [item_id,ss_item_rev,cs_item_rev,ws_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,ws_item_rev,cs_item_rev] - Project [item_id,ss_item_rev,cs_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,cs_item_rev] - Filter [ss_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),item_id,ss_item_rev,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometBroadcastHashJoin [item_id,ss_item_rev,cs_item_rev,item_id,ws_item_rev] + CometProject [item_id,ss_item_rev,cs_item_rev] + CometBroadcastHashJoin [item_id,ss_item_rev,item_id,cs_item_rev] + CometFilter [item_id,ss_item_rev] + CometHashAggregate [sum] [item_id,ss_item_rev,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] @@ -49,49 +49,41 @@ TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Filter [cs_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),item_id,cs_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (6) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #4 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (11) - Filter [ws_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),item_id,ws_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (10) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] + CometBroadcastExchange [item_id,cs_item_rev] #5 + CometFilter [item_id,cs_item_rev] + CometHashAggregate [sum] [item_id,cs_item_rev,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #6 + WholeStageCodegen (6) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [i_item_sk,i_item_id] #4 InputAdapter ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [item_id,ws_item_rev] #7 + CometFilter [item_id,ws_item_rev] + CometHashAggregate [sum] [item_id,ws_item_rev,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (9) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #4 + InputAdapter + ReusedExchange [d_date_sk] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/explain.txt index 93d8a46c2d..c39f067631 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#21] Input [2]: [ca_state#3, count#21] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#21] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#21] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#22] -Results [2]: [ca_state#3 AS state#23, count(1)#22 AS cnt#24] -(39) Filter [codegen id : 5] -Input [2]: [state#23, cnt#24] -Condition : (cnt#24 >= 10) +(38) CometFilter +Input [2]: [state#22, cnt#23] +Condition : (cnt#23 >= 10) + +(39) CometTakeOrderedAndProject +Input [2]: [state#22, cnt#23] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#23 ASC NULLS FIRST], output=[state#22,cnt#23]), [state#22, cnt#23], 100, 0, [cnt#23 ASC NULLS FIRST], [state#22, cnt#23] -(40) TakeOrderedAndProject -Input [2]: [state#23, cnt#24] -Arguments: 100, [cnt#24 ASC NULLS FIRST], [state#23, cnt#24] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#22, cnt#23] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#25] +Output [2]: [d_date_sk#10, d_month_seq#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#25] -Condition : ((isnotnull(d_month_seq#25) AND (d_month_seq#25 = Subquery scalar-subquery#26, [id=#27])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#24] +Condition : ((isnotnull(d_month_seq#24) AND (d_month_seq#24 = Subquery scalar-subquery#25, [id=#26])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#25] +Input [2]: [d_date_sk#10, d_month_seq#24] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,7 +257,7 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#26, [id=#27] +Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#25, [id=#26] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -270,35 +268,35 @@ Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#28, d_year#29, d_moy#30] +Output [3]: [d_month_seq#27, d_year#28, d_moy#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Condition : (((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2000)) AND (d_moy#30 = 1)) +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Condition : (((isnotnull(d_year#28) AND isnotnull(d_moy#29)) AND (d_year#28 = 2000)) AND (d_moy#29 = 1)) (48) CometProject -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Arguments: [d_month_seq#28], [d_month_seq#28] +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Arguments: [d_month_seq#27], [d_month_seq#27] (49) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#28] -Arguments: hashpartitioning(d_month_seq#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#27] +Arguments: hashpartitioning(d_month_seq#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/extended.txt index fe3b28849a..6e247abdbb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -65,4 +65,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 58 eligible operators (67%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 58 eligible operators (72%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/simplified.txt index cec4eecbc6..823ecf3f7c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [state,cnt] + CometFilter [state,cnt] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/explain.txt index 5584119109..943c46ae8e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -194,227 +191,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [i_item_id#18 ASC NULLS FIRST, total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#37 ASC NULLS FIRST,total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [i_item_id#37 ASC NULLS FIRST, total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,9), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 9)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 1998)) AND (d_moy#45 = 9)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/simplified.txt index 4c05038b34..1dc7b5feca 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q60.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [i_item_id,total_sales] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/explain.txt index e50623a19c..6f6e7edcd0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == * Project (69) +- * BroadcastNestedLoopJoin Inner BuildRight (68) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) + :- * CometColumnarToRow (44) + : +- CometHashAggregate (43) : +- CometColumnarExchange (42) : +- * HashAggregate (41) : +- * Project (40) @@ -46,8 +46,8 @@ : +- CometFilter (35) : +- CometNativeScan parquet spark_catalog.default.item (34) +- BroadcastExchange (67) - +- * HashAggregate (66) - +- * CometColumnarToRow (65) + +- * CometColumnarToRow (66) + +- CometHashAggregate (65) +- CometColumnarExchange (64) +- * HashAggregate (63) +- * Project (62) @@ -265,119 +265,115 @@ Results [1]: [sum#22] Input [1]: [sum#22] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 15] -Input [1]: [sum#22] - -(44) HashAggregate [codegen id : 15] +(43) CometHashAggregate Input [1]: [sum#22] Keys: [] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#23] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#23,17,2) AS promotions#24] + +(44) CometColumnarToRow [codegen id : 15] +Input [1]: [promotions#23] (45) Scan parquet spark_catalog.default.store_sales -Output [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Output [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#29), dynamicpruningexpression(ss_sold_date_sk#29 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)] ReadSchema: struct (46) ColumnarToRow [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] (47) Filter [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] -Condition : ((isnotnull(ss_store_sk#27) AND isnotnull(ss_customer_sk#26)) AND isnotnull(ss_item_sk#25)) +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +Condition : ((isnotnull(ss_store_sk#26) AND isnotnull(ss_customer_sk#25)) AND isnotnull(ss_item_sk#24)) (48) ReusedExchange [Reuses operator id: 8] -Output [1]: [s_store_sk#30] +Output [1]: [s_store_sk#29] (49) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_store_sk#27] -Right keys [1]: [s_store_sk#30] +Left keys [1]: [ss_store_sk#26] +Right keys [1]: [s_store_sk#29] Join type: Inner Join condition: None (50) Project [codegen id : 13] -Output [4]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29] -Input [6]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29, s_store_sk#30] +Output [4]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28] +Input [6]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, s_store_sk#29] (51) ReusedExchange [Reuses operator id: 74] -Output [1]: [d_date_sk#31] +Output [1]: [d_date_sk#30] (52) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#29] -Right keys [1]: [d_date_sk#31] +Left keys [1]: [ss_sold_date_sk#28] +Right keys [1]: [d_date_sk#30] Join type: Inner Join condition: None (53) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29, d_date_sk#31] +Output [3]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30] (54) ReusedExchange [Reuses operator id: 24] -Output [2]: [c_customer_sk#32, c_current_addr_sk#33] +Output [2]: [c_customer_sk#31, c_current_addr_sk#32] (55) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_customer_sk#26] -Right keys [1]: [c_customer_sk#32] +Left keys [1]: [ss_customer_sk#25] +Right keys [1]: [c_customer_sk#31] Join type: Inner Join condition: None (56) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, c_customer_sk#32, c_current_addr_sk#33] +Output [3]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, c_customer_sk#31, c_current_addr_sk#32] (57) ReusedExchange [Reuses operator id: 31] -Output [1]: [ca_address_sk#34] +Output [1]: [ca_address_sk#33] (58) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#34] +Left keys [1]: [c_current_addr_sk#32] +Right keys [1]: [ca_address_sk#33] Join type: Inner Join condition: None (59) Project [codegen id : 13] -Output [2]: [ss_item_sk#25, ss_ext_sales_price#28] -Input [4]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33, ca_address_sk#34] +Output [2]: [ss_item_sk#24, ss_ext_sales_price#27] +Input [4]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32, ca_address_sk#33] (60) ReusedExchange [Reuses operator id: 38] -Output [1]: [i_item_sk#35] +Output [1]: [i_item_sk#34] (61) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_item_sk#25] -Right keys [1]: [i_item_sk#35] +Left keys [1]: [ss_item_sk#24] +Right keys [1]: [i_item_sk#34] Join type: Inner Join condition: None (62) Project [codegen id : 13] -Output [1]: [ss_ext_sales_price#28] -Input [3]: [ss_item_sk#25, ss_ext_sales_price#28, i_item_sk#35] +Output [1]: [ss_ext_sales_price#27] +Input [3]: [ss_item_sk#24, ss_ext_sales_price#27, i_item_sk#34] (63) HashAggregate [codegen id : 13] -Input [1]: [ss_ext_sales_price#28] +Input [1]: [ss_ext_sales_price#27] Keys: [] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum#36] -Results [1]: [sum#37] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#35] +Results [1]: [sum#36] (64) CometColumnarExchange -Input [1]: [sum#37] +Input [1]: [sum#36] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(65) CometColumnarToRow [codegen id : 14] -Input [1]: [sum#37] - -(66) HashAggregate [codegen id : 14] -Input [1]: [sum#37] +(65) CometHashAggregate +Input [1]: [sum#36] Keys: [] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#28))#38] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#28))#38,17,2) AS total#39] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] + +(66) CometColumnarToRow [codegen id : 14] +Input [1]: [total#37] (67) BroadcastExchange -Input [1]: [total#39] +Input [1]: [total#37] Arguments: IdentityBroadcastMode, [plan_id=8] (68) BroadcastNestedLoopJoin [codegen id : 15] @@ -385,8 +381,8 @@ Join type: Inner Join condition: None (69) Project [codegen id : 15] -Output [3]: [promotions#24, total#39, ((cast(promotions#24 as decimal(15,4)) / cast(total#39 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#40] -Input [2]: [promotions#24, total#39] +Output [3]: [promotions#23, total#37, ((cast(promotions#23 as decimal(15,4)) / cast(total#37 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#38] +Input [2]: [promotions#23, total#37] ===== Subqueries ===== @@ -399,18 +395,18 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#14, d_year#41, d_moy#42] +Output [3]: [d_date_sk#14, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 11)) AND isnotnull(d_date_sk#14)) +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 1998)) AND (d_moy#40 = 11)) AND isnotnull(d_date_sk#14)) (72) CometProject -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] Arguments: [d_date_sk#14], [d_date_sk#14] (73) CometColumnarToRow [codegen id : 1] @@ -420,6 +416,6 @@ Input [1]: [d_date_sk#14] Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#29 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/extended.txt index 0443f5fc55..aed26a99bf 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/extended.txt @@ -1,7 +1,7 @@ Project -+- BroadcastNestedLoopJoin - :- HashAggregate - : +- CometColumnarToRow ++- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + :- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -55,8 +55,8 @@ Project : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.item +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -98,4 +98,4 @@ Project +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 83 eligible operators (43%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 38 out of 83 eligible operators (45%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/simplified.txt index f5bacac9c6..40f77cab07 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q61.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ WholeStageCodegen (15) Project [promotions,total] BroadcastNestedLoopJoin - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),promotions,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [promotions,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #1 WholeStageCodegen (7) HashAggregate [ss_ext_sales_price] [sum,sum] @@ -75,9 +75,9 @@ WholeStageCodegen (15) InputAdapter BroadcastExchange #8 WholeStageCodegen (14) - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),total,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [total,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #9 WholeStageCodegen (13) HashAggregate [ss_ext_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/explain.txt index 32f70c3d33..03e2e790a1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manager_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manager_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_moy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manager_id#5, d_moy#16, sum#19] Input [3]: [i_manager_id#5, d_moy#16, sum#19] Arguments: hashpartitioning(i_manager_id#5, d_moy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manager_id#5, d_moy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manager_id#5, d_moy#16, sum#19] Keys [2]: [i_manager_id#5, d_moy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manager_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [i_manager_id#5, sum_sales#21, _w0#22], [i_manager_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [i_manager_id#5, sum_sales#20, _w0#21], [i_manager_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_manager_id#5] +(26) Window +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_manager_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST], [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST], [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Arguments: [d_date_sk#15, d_moy#16], [d_date_sk#15, d_moy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_moy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_moy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/simplified.txt index 2933149226..3dd0af75de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q63.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [i_manager_id,avg_monthly_sales,sum_sales] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manager_id,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_manager_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manager_id,sum_sales,_w0] - CometColumnarExchange [i_manager_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manager_id,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manager_id,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] - Project [i_manager_id,ss_sales_price,d_moy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manager_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_month_seq,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + CometExchange [i_manager_id] #1 + CometHashAggregate [d_moy,sum] [i_manager_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manager_id,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] + Project [i_manager_id,ss_sales_price,d_moy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manager_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_month_seq,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/explain.txt index 7cbfb795e8..799afaefaa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/explain.txt @@ -1,47 +1,43 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * CometColumnarToRow (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.store (1) - : : +- BroadcastExchange (15) - : : +- * Filter (14) - : : +- * HashAggregate (13) - : : +- * CometColumnarToRow (12) - : : +- CometColumnarExchange (11) - : : +- * HashAggregate (10) - : : +- * Project (9) - : : +- * BroadcastHashJoin Inner BuildRight (8) - : : :- * Filter (6) - : : : +- * ColumnarToRow (5) - : : : +- Scan parquet spark_catalog.default.store_sales (4) - : : +- ReusedExchange (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometProject (20) - : +- CometFilter (19) - : +- CometNativeScan parquet spark_catalog.default.item (18) - +- BroadcastExchange (40) - +- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- CometColumnarExchange (32) - +- * HashAggregate (31) - +- * Project (30) - +- * BroadcastHashJoin Inner BuildRight (29) - :- * Filter (27) - : +- * ColumnarToRow (26) - : +- Scan parquet spark_catalog.default.store_sales (25) - +- ReusedExchange (28) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometProject (37) + +- CometBroadcastHashJoin (36) + :- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometProject (15) + : : +- CometBroadcastHashJoin (14) + : : :- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.store (1) + : : +- CometBroadcastExchange (13) + : : +- CometFilter (12) + : : +- CometHashAggregate (11) + : : +- CometColumnarExchange (10) + : : +- * HashAggregate (9) + : : +- * Project (8) + : : +- * BroadcastHashJoin Inner BuildRight (7) + : : :- * Filter (5) + : : : +- * ColumnarToRow (4) + : : : +- Scan parquet spark_catalog.default.store_sales (3) + : : +- ReusedExchange (6) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + +- CometBroadcastExchange (35) + +- CometFilter (34) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- CometColumnarExchange (29) + +- * HashAggregate (28) + +- * Project (27) + +- * BroadcastHashJoin Inner BuildRight (26) + :- * Filter (24) + : +- * ColumnarToRow (23) + : +- Scan parquet spark_catalog.default.store_sales (22) + +- ReusedExchange (25) (1) CometNativeScan parquet spark_catalog.default.store @@ -55,10 +51,7 @@ ReadSchema: struct Input [2]: [s_store_sk#1, s_store_name#2] Condition : isnotnull(s_store_sk#1) -(3) CometColumnarToRow [codegen id : 9] -Input [2]: [s_store_sk#1, s_store_name#2] - -(4) Scan parquet spark_catalog.default.store_sales +(3) Scan parquet spark_catalog.default.store_sales Output [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Batched: true Location: InMemoryFileIndex [] @@ -66,221 +59,201 @@ PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sol PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(5) ColumnarToRow [codegen id : 2] +(4) ColumnarToRow [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] -(6) Filter [codegen id : 2] +(5) Filter [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Condition : (isnotnull(ss_store_sk#4) AND isnotnull(ss_item_sk#3)) -(7) ReusedExchange [Reuses operator id: 48] +(6) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#8] -(8) BroadcastHashJoin [codegen id : 2] +(7) BroadcastHashJoin [codegen id : 2] Left keys [1]: [ss_sold_date_sk#6] Right keys [1]: [d_date_sk#8] Join type: Inner Join condition: None -(9) Project [codegen id : 2] +(8) Project [codegen id : 2] Output [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Input [5]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6, d_date_sk#8] -(10) HashAggregate [codegen id : 2] +(9) HashAggregate [codegen id : 2] Input [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#5))] Aggregate Attributes [1]: [sum#9] Results [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] -(11) CometColumnarExchange +(10) CometColumnarExchange Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Arguments: hashpartitioning(ss_store_sk#4, ss_item_sk#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(12) CometColumnarToRow [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] - -(13) HashAggregate [codegen id : 3] +(11) CometHashAggregate Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [sum(UnscaledValue(ss_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#5))#11] -Results [3]: [ss_store_sk#4, ss_item_sk#3, MakeDecimal(sum(UnscaledValue(ss_sales_price#5))#11,17,2) AS revenue#12] -(14) Filter [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Condition : isnotnull(revenue#12) +(12) CometFilter +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Condition : isnotnull(revenue#11) -(15) BroadcastExchange -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2] +(13) CometBroadcastExchange +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [ss_store_sk#4, ss_item_sk#3, revenue#11] -(16) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [s_store_sk#1] -Right keys [1]: [ss_store_sk#4] -Join type: Inner -Join condition: None +(14) CometBroadcastHashJoin +Left output [2]: [s_store_sk#1, s_store_name#2] +Right output [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_sk#1], [ss_store_sk#4], Inner, BuildRight -(17) Project [codegen id : 9] -Output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] -Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] +(15) CometProject +Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11], [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] -(18) CometNativeScan parquet spark_catalog.default.item -Output [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] +(16) CometNativeScan parquet spark_catalog.default.item +Output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(19) CometFilter -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Condition : isnotnull(i_item_sk#13) +(17) CometFilter +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Condition : isnotnull(i_item_sk#12) -(20) CometProject -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Arguments: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18], [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#17, 50, true, false, true) AS i_brand#18] +(18) CometProject +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_brand#16, 50, true, false, true) AS i_brand#17] -(21) CometColumnarToRow [codegen id : 4] -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(19) CometBroadcastExchange +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(22) BroadcastExchange -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] +(20) CometBroadcastHashJoin +Left output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Right output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [ss_item_sk#3], [i_item_sk#12], Inner, BuildRight -(23) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_item_sk#3] -Right keys [1]: [i_item_sk#13] -Join type: Inner -Join condition: None +(21) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11, i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(24) Project [codegen id : 9] -Output [7]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12, i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] - -(25) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#22), dynamicpruningexpression(ss_sold_date_sk#22 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#21), dynamicpruningexpression(ss_sold_date_sk#21 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] -(27) Filter [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] -Condition : isnotnull(ss_store_sk#20) +(24) Filter [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] +Condition : isnotnull(ss_store_sk#19) -(28) ReusedExchange [Reuses operator id: 48] -Output [1]: [d_date_sk#23] +(25) ReusedExchange [Reuses operator id: 44] +Output [1]: [d_date_sk#22] -(29) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#22] -Right keys [1]: [d_date_sk#23] +(26) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [ss_sold_date_sk#21] +Right keys [1]: [d_date_sk#22] Join type: Inner Join condition: None -(30) Project [codegen id : 6] -Output [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Input [5]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22, d_date_sk#23] - -(31) HashAggregate [codegen id : 6] -Input [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum#24] -Results [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(32) CometColumnarExchange -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Arguments: hashpartitioning(ss_store_sk#20, ss_item_sk#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(33) CometColumnarToRow [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(34) HashAggregate [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#21))#26] -Results [2]: [ss_store_sk#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#21))#26,17,2) AS revenue#27] - -(35) HashAggregate [codegen id : 7] -Input [2]: [ss_store_sk#20, revenue#27] -Keys [1]: [ss_store_sk#20] -Functions [1]: [partial_avg(revenue#27)] -Aggregate Attributes [2]: [sum#28, count#29] -Results [3]: [ss_store_sk#20, sum#30, count#31] - -(36) CometColumnarExchange -Input [3]: [ss_store_sk#20, sum#30, count#31] -Arguments: hashpartitioning(ss_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(37) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] - -(38) HashAggregate [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] -Keys [1]: [ss_store_sk#20] -Functions [1]: [avg(revenue#27)] -Aggregate Attributes [1]: [avg(revenue#27)#32] -Results [2]: [ss_store_sk#20, avg(revenue#27)#32 AS ave#33] - -(39) Filter [codegen id : 8] -Input [2]: [ss_store_sk#20, ave#33] -Condition : isnotnull(ave#33) - -(40) BroadcastExchange -Input [2]: [ss_store_sk#20, ave#33] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] - -(41) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_store_sk#4] -Right keys [1]: [ss_store_sk#20] -Join type: Inner -Join condition: (cast(revenue#12 as decimal(23,7)) <= (0.1 * ave#33)) +(27) Project [codegen id : 4] +Output [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Input [5]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21, d_date_sk#22] + +(28) HashAggregate [codegen id : 4] +Input [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#20))] +Aggregate Attributes [1]: [sum#23] +Results [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] + +(29) CometColumnarExchange +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Arguments: hashpartitioning(ss_store_sk#19, ss_item_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] + +(30) CometHashAggregate +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [sum(UnscaledValue(ss_sales_price#20))] + +(31) CometHashAggregate +Input [2]: [ss_store_sk#19, revenue#25] +Keys [1]: [ss_store_sk#19] +Functions [1]: [partial_avg(revenue#25)] + +(32) CometExchange +Input [3]: [ss_store_sk#19, sum#26, count#27] +Arguments: hashpartitioning(ss_store_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(33) CometHashAggregate +Input [3]: [ss_store_sk#19, sum#26, count#27] +Keys [1]: [ss_store_sk#19] +Functions [1]: [avg(revenue#25)] + +(34) CometFilter +Input [2]: [ss_store_sk#19, ave#28] +Condition : isnotnull(ave#28) + +(35) CometBroadcastExchange +Input [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#19, ave#28] + +(36) CometBroadcastHashJoin +Left output [7]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Right output [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#4], [ss_store_sk#19], Inner, (cast(revenue#11 as decimal(23,7)) <= (0.1 * ave#28)), BuildRight + +(37) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17, ss_store_sk#19, ave#28] +Arguments: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(42) Project [codegen id : 9] -Output [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18, ss_store_sk#20, ave#33] +(38) CometTakeOrderedAndProject +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#2 ASC NULLS FIRST,i_item_desc#13 ASC NULLS FIRST], output=[s_store_name#2,i_item_desc#13,revenue#11,i_current_price#14,i_wholesale_cost#15,i_brand#17]), [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], 100, 0, [s_store_name#2 ASC NULLS FIRST, i_item_desc#13 ASC NULLS FIRST], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(43) TakeOrderedAndProject -Input [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: 100, [s_store_name#2 ASC NULLS FIRST, i_item_desc#14 ASC NULLS FIRST], [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(39) CometColumnarToRow [codegen id : 5] +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] ===== Subqueries ===== -Subquery:1 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (48) -+- * CometColumnarToRow (47) - +- CometProject (46) - +- CometFilter (45) - +- CometNativeScan parquet spark_catalog.default.date_dim (44) +Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_month_seq#34] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_month_seq#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1176), LessThanOrEqual(d_month_seq,1187), IsNotNull(d_date_sk)] ReadSchema: struct -(45) CometFilter -Input [2]: [d_date_sk#8, d_month_seq#34] -Condition : (((isnotnull(d_month_seq#34) AND (d_month_seq#34 >= 1176)) AND (d_month_seq#34 <= 1187)) AND isnotnull(d_date_sk#8)) +(41) CometFilter +Input [2]: [d_date_sk#8, d_month_seq#29] +Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1176)) AND (d_month_seq#29 <= 1187)) AND isnotnull(d_date_sk#8)) -(46) CometProject -Input [2]: [d_date_sk#8, d_month_seq#34] +(42) CometProject +Input [2]: [d_date_sk#8, d_month_seq#29] Arguments: [d_date_sk#8], [d_date_sk#8] -(47) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(48) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 25 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#21 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/extended.txt index b1bae81b20..12c6a7eedd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/extended.txt @@ -1,60 +1,56 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 17 out of 48 eligible operators (35%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 48 eligible operators (68%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/simplified.txt index 2695c9fb89..3c68fd2a34 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q65.native_datafusion/simplified.txt @@ -1,71 +1,56 @@ -TakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - WholeStageCodegen (9) - Project [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_store_sk,ss_store_sk,revenue,ave] - Project [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [s_store_name,ss_store_sk,ss_item_sk,revenue] - BroadcastHashJoin [s_store_sk,ss_store_sk] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand,ss_store_sk,ave] + CometProject [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,ss_item_sk,revenue,i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,ss_store_sk,ss_item_sk,revenue] + CometBroadcastHashJoin [s_store_sk,s_store_name,ss_store_sk,ss_item_sk,revenue] CometFilter [s_store_sk,s_store_name] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name] - InputAdapter - BroadcastExchange #1 - WholeStageCodegen (3) - Filter [revenue] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #2 - WholeStageCodegen (2) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [ss_store_sk,ss_item_sk,revenue] #1 + CometFilter [ss_store_sk,ss_item_sk,revenue] + CometHashAggregate [sum] [ss_store_sk,ss_item_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #2 + WholeStageCodegen (2) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - Filter [ave] - HashAggregate [ss_store_sk,sum,count] [avg(revenue),ave,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk] #6 - WholeStageCodegen (7) - HashAggregate [ss_store_sk,revenue] [sum,count,sum,count] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #7 - WholeStageCodegen (6) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + CometBroadcastExchange [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] #4 + CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastExchange [ss_store_sk,ave] #5 + CometFilter [ss_store_sk,ave] + CometHashAggregate [sum,count] [ss_store_sk,ave,avg(revenue)] + CometExchange [ss_store_sk] #6 + CometHashAggregate [revenue] [ss_store_sk,sum,count] + CometHashAggregate [ss_item_sk,sum] [ss_store_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #7 + WholeStageCodegen (4) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/explain.txt index 56c5025634..aff5b9896d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/explain.txt @@ -1,60 +1,58 @@ == Physical Plan == -TakeOrderedAndProject (56) -+- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- Union (51) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) - +- * HashAggregate (50) - +- * CometColumnarToRow (49) - +- CometColumnarExchange (48) - +- * HashAggregate (47) - +- * Project (46) - +- * BroadcastHashJoin Inner BuildRight (45) - :- * Project (43) - : +- * BroadcastHashJoin Inner BuildRight (42) - : :- * Project (40) - : : +- * BroadcastHashJoin Inner BuildRight (39) - : : :- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * Filter (34) - : : : : +- * ColumnarToRow (33) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (35) - : : +- ReusedExchange (38) - : +- ReusedExchange (41) - +- ReusedExchange (44) +* CometColumnarToRow (54) ++- CometTakeOrderedAndProject (53) + +- CometHashAggregate (52) + +- CometExchange (51) + +- CometHashAggregate (50) + +- CometUnion (49) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) + +- CometHashAggregate (48) + +- CometColumnarExchange (47) + +- * HashAggregate (46) + +- * Project (45) + +- * BroadcastHashJoin Inner BuildRight (44) + :- * Project (42) + : +- * BroadcastHashJoin Inner BuildRight (41) + : :- * Project (39) + : : +- * BroadcastHashJoin Inner BuildRight (38) + : : :- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * Filter (33) + : : : : +- * ColumnarToRow (32) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (31) + : : : +- ReusedExchange (34) + : : +- ReusedExchange (37) + : +- ReusedExchange (40) + +- ReusedExchange (43) (1) Scan parquet spark_catalog.default.web_sales @@ -104,7 +102,7 @@ Join condition: None Output [12]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] Input [14]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] -(11) ReusedExchange [Reuses operator id: 60] +(11) ReusedExchange [Reuses operator id: 58] Output [3]: [d_date_sk#17, d_year#18, d_moy#19] (12) BroadcastHashJoin [codegen id : 5] @@ -192,158 +190,146 @@ Results [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13 Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Keys [7]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18] Functions [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143] -Results [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, DHL,BARIAN AS ship_carriers#144, d_year#18 AS year#145, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120 AS jan_sales#146, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121 AS feb_sales#147, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122 AS mar_sales#148, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123 AS apr_sales#149, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124 AS may_sales#150, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125 AS jun_sales#151, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126 AS jul_sales#152, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127 AS aug_sales#153, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128 AS sep_sales#154, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129 AS oct_sales#155, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130 AS nov_sales#156, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131 AS dec_sales#157, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132 AS jan_net#158, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133 AS feb_net#159, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134 AS mar_net#160, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135 AS apr_net#161, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136 AS may_net#162, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137 AS jun_net#163, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138 AS jul_net#164, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139 AS aug_net#165, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140 AS sep_net#166, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141 AS oct_net#167, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142 AS nov_net#168, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143 AS dec_net#169] -(32) Scan parquet spark_catalog.default.catalog_sales -Output [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(31) Scan parquet spark_catalog.default.catalog_sales +Output [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#176), dynamicpruningexpression(cs_sold_date_sk#176 IN dynamicpruning#8)] +PartitionFilters: [isnotnull(cs_sold_date_sk#126), dynamicpruningexpression(cs_sold_date_sk#126 IN dynamicpruning#8)] PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_sold_time_sk), IsNotNull(cs_ship_mode_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(32) ColumnarToRow [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] -(34) Filter [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] -Condition : ((isnotnull(cs_warehouse_sk#172) AND isnotnull(cs_sold_time_sk#170)) AND isnotnull(cs_ship_mode_sk#171)) +(33) Filter [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] +Condition : ((isnotnull(cs_warehouse_sk#122) AND isnotnull(cs_sold_time_sk#120)) AND isnotnull(cs_ship_mode_sk#121)) -(35) ReusedExchange [Reuses operator id: 8] -Output [7]: [w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(34) ReusedExchange [Reuses operator id: 8] +Output [7]: [w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_warehouse_sk#172] -Right keys [1]: [w_warehouse_sk#177] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_warehouse_sk#122] +Right keys [1]: [w_warehouse_sk#127] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [12]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(36) Project [codegen id : 10] +Output [12]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(38) ReusedExchange [Reuses operator id: 60] -Output [3]: [d_date_sk#184, d_year#185, d_moy#186] +(37) ReusedExchange [Reuses operator id: 58] +Output [3]: [d_date_sk#134, d_year#135, d_moy#136] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_date_sk#176] -Right keys [1]: [d_date_sk#184] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_date_sk#126] +Right keys [1]: [d_date_sk#134] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [13]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [15]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_date_sk#184, d_year#185, d_moy#186] +(39) Project [codegen id : 10] +Output [13]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [15]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_date_sk#134, d_year#135, d_moy#136] -(41) ReusedExchange [Reuses operator id: 18] -Output [1]: [t_time_sk#187] +(40) ReusedExchange [Reuses operator id: 18] +Output [1]: [t_time_sk#137] -(42) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_time_sk#170] -Right keys [1]: [t_time_sk#187] +(41) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_time_sk#120] +Right keys [1]: [t_time_sk#137] Join type: Inner Join condition: None -(43) Project [codegen id : 11] -Output [12]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, t_time_sk#187] +(42) Project [codegen id : 10] +Output [12]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, t_time_sk#137] -(44) ReusedExchange [Reuses operator id: 25] -Output [1]: [sm_ship_mode_sk#188] +(43) ReusedExchange [Reuses operator id: 25] +Output [1]: [sm_ship_mode_sk#138] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_ship_mode_sk#171] -Right keys [1]: [sm_ship_mode_sk#188] +(44) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_ship_mode_sk#121] +Right keys [1]: [sm_ship_mode_sk#138] Join type: Inner Join condition: None -(46) Project [codegen id : 11] -Output [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [13]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, sm_ship_mode_sk#188] - -(47) HashAggregate [codegen id : 11] -Input [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [48]: [sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234, sum#235, isEmpty#236] -Results [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(48) CometColumnarExchange -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Arguments: hashpartitioning(w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(49) CometColumnarToRow [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(50) HashAggregate [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308] -Results [32]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, DHL,BARIAN AS ship_carriers#309, d_year#185 AS year#310, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285 AS jan_sales#311, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286 AS feb_sales#312, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287 AS mar_sales#313, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288 AS apr_sales#314, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289 AS may_sales#315, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290 AS jun_sales#316, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291 AS jul_sales#317, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292 AS aug_sales#318, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293 AS sep_sales#319, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294 AS oct_sales#320, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295 AS nov_sales#321, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296 AS dec_sales#322, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297 AS jan_net#323, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298 AS feb_net#324, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299 AS mar_net#325, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300 AS apr_net#326, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301 AS may_net#327, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302 AS jun_net#328, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303 AS jul_net#329, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304 AS aug_net#330, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305 AS sep_net#331, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306 AS oct_net#332, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307 AS nov_net#333, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308 AS dec_net#334] - -(51) Union - -(52) HashAggregate [codegen id : 13] -Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#146, feb_sales#147, mar_sales#148, apr_sales#149, may_sales#150, jun_sales#151, jul_sales#152, aug_sales#153, sep_sales#154, oct_sales#155, nov_sales#156, dec_sales#157, jan_net#158, feb_net#159, mar_net#160, apr_net#161, may_net#162, jun_net#163, jul_net#164, aug_net#165, sep_net#166, oct_net#167, nov_net#168, dec_net#169] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [partial_sum(jan_sales#146), partial_sum(feb_sales#147), partial_sum(mar_sales#148), partial_sum(apr_sales#149), partial_sum(may_sales#150), partial_sum(jun_sales#151), partial_sum(jul_sales#152), partial_sum(aug_sales#153), partial_sum(sep_sales#154), partial_sum(oct_sales#155), partial_sum(nov_sales#156), partial_sum(dec_sales#157), partial_sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#158), partial_sum(feb_net#159), partial_sum(mar_net#160), partial_sum(apr_net#161), partial_sum(may_net#162), partial_sum(jun_net#163), partial_sum(jul_net#164), partial_sum(aug_net#165), partial_sum(sep_net#166), partial_sum(oct_net#167), partial_sum(nov_net#168), partial_sum(dec_net#169)] -Aggregate Attributes [72]: [sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358, sum#359, isEmpty#360, sum#361, isEmpty#362, sum#363, isEmpty#364, sum#365, isEmpty#366, sum#367, isEmpty#368, sum#369, isEmpty#370, sum#371, isEmpty#372, sum#373, isEmpty#374, sum#375, isEmpty#376, sum#377, isEmpty#378, sum#379, isEmpty#380, sum#381, isEmpty#382, sum#383, isEmpty#384, sum#385, isEmpty#386, sum#387, isEmpty#388, sum#389, isEmpty#390, sum#391, isEmpty#392, sum#393, isEmpty#394, sum#395, isEmpty#396, sum#397, isEmpty#398, sum#399, isEmpty#400, sum#401, isEmpty#402, sum#403, isEmpty#404, sum#405, isEmpty#406] -Results [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(53) CometColumnarExchange -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(54) CometColumnarToRow [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(55) HashAggregate [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [sum(jan_sales#146), sum(feb_sales#147), sum(mar_sales#148), sum(apr_sales#149), sum(may_sales#150), sum(jun_sales#151), sum(jul_sales#152), sum(aug_sales#153), sum(sep_sales#154), sum(oct_sales#155), sum(nov_sales#156), sum(dec_sales#157), sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#158), sum(feb_net#159), sum(mar_net#160), sum(apr_net#161), sum(may_net#162), sum(jun_net#163), sum(jul_net#164), sum(aug_net#165), sum(sep_net#166), sum(oct_net#167), sum(nov_net#168), sum(dec_net#169)] -Aggregate Attributes [36]: [sum(jan_sales#146)#479, sum(feb_sales#147)#480, sum(mar_sales#148)#481, sum(apr_sales#149)#482, sum(may_sales#150)#483, sum(jun_sales#151)#484, sum(jul_sales#152)#485, sum(aug_sales#153)#486, sum(sep_sales#154)#487, sum(oct_sales#155)#488, sum(nov_sales#156)#489, sum(dec_sales#157)#490, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502, sum(jan_net#158)#503, sum(feb_net#159)#504, sum(mar_net#160)#505, sum(apr_net#161)#506, sum(may_net#162)#507, sum(jun_net#163)#508, sum(jul_net#164)#509, sum(aug_net#165)#510, sum(sep_net#166)#511, sum(oct_net#167)#512, sum(nov_net#168)#513, sum(dec_net#169)#514] -Results [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum(jan_sales#146)#479 AS jan_sales#515, sum(feb_sales#147)#480 AS feb_sales#516, sum(mar_sales#148)#481 AS mar_sales#517, sum(apr_sales#149)#482 AS apr_sales#518, sum(may_sales#150)#483 AS may_sales#519, sum(jun_sales#151)#484 AS jun_sales#520, sum(jul_sales#152)#485 AS jul_sales#521, sum(aug_sales#153)#486 AS aug_sales#522, sum(sep_sales#154)#487 AS sep_sales#523, sum(oct_sales#155)#488 AS oct_sales#524, sum(nov_sales#156)#489 AS nov_sales#525, sum(dec_sales#157)#490 AS dec_sales#526, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491 AS jan_sales_per_sq_foot#527, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492 AS feb_sales_per_sq_foot#528, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493 AS mar_sales_per_sq_foot#529, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494 AS apr_sales_per_sq_foot#530, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495 AS may_sales_per_sq_foot#531, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496 AS jun_sales_per_sq_foot#532, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497 AS jul_sales_per_sq_foot#533, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498 AS aug_sales_per_sq_foot#534, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499 AS sep_sales_per_sq_foot#535, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500 AS oct_sales_per_sq_foot#536, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501 AS nov_sales_per_sq_foot#537, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502 AS dec_sales_per_sq_foot#538, sum(jan_net#158)#503 AS jan_net#539, sum(feb_net#159)#504 AS feb_net#540, sum(mar_net#160)#505 AS mar_net#541, sum(apr_net#161)#506 AS apr_net#542, sum(may_net#162)#507 AS may_net#543, sum(jun_net#163)#508 AS jun_net#544, sum(jul_net#164)#509 AS jul_net#545, sum(aug_net#165)#510 AS aug_net#546, sum(sep_net#166)#511 AS sep_net#547, sum(oct_net#167)#512 AS oct_net#548, sum(nov_net#168)#513 AS nov_net#549, sum(dec_net#169)#514 AS dec_net#550] - -(56) TakeOrderedAndProject -Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] -Arguments: 100, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] +(45) Project [codegen id : 10] +Output [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [13]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, sm_ship_mode_sk#138] + +(46) HashAggregate [codegen id : 10] +Input [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] +Aggregate Attributes [48]: [sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162, sum#163, isEmpty#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170, sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176, sum#177, isEmpty#178, sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184, sum#185, isEmpty#186] +Results [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] + +(47) CometColumnarExchange +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Arguments: hashpartitioning(w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(48) CometHashAggregate +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] + +(49) CometUnion +Child 0 Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Child 1 Input [32]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, ship_carriers#261, year#262, jan_sales#263, feb_sales#264, mar_sales#265, apr_sales#266, may_sales#267, jun_sales#268, jul_sales#269, aug_sales#270, sep_sales#271, oct_sales#272, nov_sales#273, dec_sales#274, jan_net#275, feb_net#276, mar_net#277, apr_net#278, may_net#279, jun_net#280, jul_net#281, aug_net#282, sep_net#283, oct_net#284, nov_net#285, dec_net#286] + +(50) CometHashAggregate +Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [partial_sum(jan_sales#237), partial_sum(feb_sales#238), partial_sum(mar_sales#239), partial_sum(apr_sales#240), partial_sum(may_sales#241), partial_sum(jun_sales#242), partial_sum(jul_sales#243), partial_sum(aug_sales#244), partial_sum(sep_sales#245), partial_sum(oct_sales#246), partial_sum(nov_sales#247), partial_sum(dec_sales#248), partial_sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#249), partial_sum(feb_net#250), partial_sum(mar_net#251), partial_sum(apr_net#252), partial_sum(may_net#253), partial_sum(jun_net#254), partial_sum(jul_net#255), partial_sum(aug_net#256), partial_sum(sep_net#257), partial_sum(oct_net#258), partial_sum(nov_net#259), partial_sum(dec_net#260)] + +(51) CometExchange +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [sum(jan_sales#237), sum(feb_sales#238), sum(mar_sales#239), sum(apr_sales#240), sum(may_sales#241), sum(jun_sales#242), sum(jul_sales#243), sum(aug_sales#244), sum(sep_sales#245), sum(oct_sales#246), sum(nov_sales#247), sum(dec_sales#248), sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#249), sum(feb_net#250), sum(mar_net#251), sum(apr_net#252), sum(may_net#253), sum(jun_net#254), sum(jul_net#255), sum(aug_net#256), sum(sep_net#257), sum(oct_net#258), sum(nov_net#259), sum(dec_net#260)] + +(53) CometTakeOrderedAndProject +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#10 ASC NULLS FIRST], output=[w_warehouse_name#10,w_warehouse_sq_ft#11,w_city#12,w_county#13,w_state#16,w_country#15,ship_carriers#235,year#236,jan_sales#359,feb_sales#360,mar_sales#361,apr_sales#362,may_sales#363,jun_sales#364,jul_sales#365,aug_sales#366,sep_sales#367,oct_sales#368,nov_sales#369,dec_sales#370,jan_sales_per_sq_foot#371,feb_sales_per_sq_foot#372,mar_sales_per_sq_foot#373,apr_sales_per_sq_foot#374,may_sales_per_sq_foot#375,jun_sales_per_sq_foot#376,jul_sales_per_sq_foot#377,aug_sales_per_sq_foot#378,sep_sales_per_sq_foot#379,oct_sales_per_sq_foot#380,nov_sales_per_sq_foot#381,dec_sales_per_sq_foot#382,jan_net#383,feb_net#384,mar_net#385,apr_net#386,may_net#387,jun_net#388,jul_net#389,aug_net#390,sep_net#391,oct_net#392,nov_net#393,dec_net#394]), [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394], 100, 0, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] + +(54) CometColumnarToRow [codegen id : 11] +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometFilter (58) - +- CometNativeScan parquet spark_catalog.default.date_dim (57) +BroadcastExchange (58) ++- * CometColumnarToRow (57) + +- CometFilter (56) + +- CometNativeScan parquet spark_catalog.default.date_dim (55) -(57) CometNativeScan parquet spark_catalog.default.date_dim +(55) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#17, d_year#18, d_moy#19] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(58) CometFilter +(56) CometFilter Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Condition : ((isnotnull(d_year#18) AND (d_year#18 = 2001)) AND isnotnull(d_date_sk#17)) -(59) CometColumnarToRow [codegen id : 1] +(57) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#17, d_year#18, d_moy#19] -(60) BroadcastExchange +(58) BroadcastExchange Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#176 IN dynamicpruning#8 +Subquery:2 Hosting operator id = 31 Hosting Expression = cs_sold_date_sk#126 IN dynamicpruning#8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/extended.txt index caf49b6d52..6da78c44b8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/extended.txt @@ -1,82 +1,80 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.time_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.ship_mode - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.time_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.ship_mode +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.time_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.ship_mode + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.time_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.ship_mode -Comet accelerated 27 out of 66 eligible operators (40%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 66 eligible operators (50%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/simplified.txt index 3a1f053d60..0f165b9c3f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q66.native_datafusion/simplified.txt @@ -1,90 +1,82 @@ -TakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] - WholeStageCodegen (14) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net),jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 - WholeStageCodegen (13) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 - WholeStageCodegen (5) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] - Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_time_sk,t_time_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] - Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [t_time_sk] - CometFilter [t_time_sk,t_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [sm_ship_mode_sk] - CometFilter [sm_ship_mode_sk,sm_carrier] - CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] - WholeStageCodegen (12) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 - WholeStageCodegen (11) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] - Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_time_sk,t_time_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] - Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - ReusedExchange [t_time_sk] #5 - InputAdapter - ReusedExchange [sm_ship_mode_sk] #6 +WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net)] + CometExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 + CometHashAggregate [jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 + WholeStageCodegen (5) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] + Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_time_sk,t_time_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] + Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk] + CometFilter [t_time_sk,t_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [sm_ship_mode_sk] + CometFilter [sm_ship_mode_sk,sm_carrier] + CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 + WholeStageCodegen (10) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] + Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_time_sk,t_time_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] + Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + ReusedExchange [t_time_sk] #5 + InputAdapter + ReusedExchange [sm_ship_mode_sk] #6 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/explain.txt index 547ca84576..9eedbdeb22 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/explain.txt @@ -7,9 +7,9 @@ TakeOrderedAndProject (34) +- CometSort (29) +- CometColumnarExchange (28) +- WindowGroupLimit (27) - +- * Sort (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) + +- * CometColumnarToRow (26) + +- CometSort (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -142,50 +142,48 @@ Results [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year# Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Arguments: hashpartitioning(i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Keys [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36] -Results [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36 AS sumsales#37] -(26) Sort [codegen id : 5] -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23 ASC NULLS FIRST, sumsales#37 DESC NULLS LAST], false, 0 +(25) CometSort +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36], [i_category#23 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] + +(26) CometColumnarToRow [codegen id : 5] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] (27) WindowGroupLimit -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23], [sumsales#37 DESC NULLS LAST], rank(sumsales#37), 100, Partial +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Partial (28) CometColumnarExchange -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] Arguments: hashpartitioning(i_category#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] (29) CometSort -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37], [i_category#23 ASC NULLS FIRST, sumsales#37 DESC NULLS LAST] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36], [i_category#23 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] (30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] (31) WindowGroupLimit -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23], [sumsales#37 DESC NULLS LAST], rank(sumsales#37), 100, Final +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Final (32) Window -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [rank(sumsales#37) windowspecdefinition(i_category#23, sumsales#37 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#38], [i_category#23], [sumsales#37 DESC NULLS LAST] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [rank(sumsales#36) windowspecdefinition(i_category#23, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [i_category#23], [sumsales#36 DESC NULLS LAST] (33) Filter [codegen id : 7] -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Condition : (rk#38 <= 100) +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Condition : (rk#37 <= 100) (34) TakeOrderedAndProject -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#37 ASC NULLS FIRST, rk#38 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#37 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] ===== Subqueries ===== @@ -198,18 +196,18 @@ BroadcastExchange (39) (35) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +Output [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (36) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#39) AND (d_month_seq#39 >= 1200)) AND (d_month_seq#39 <= 1211)) AND isnotnull(d_date_sk#7)) +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#38) AND (d_month_seq#38 >= 1200)) AND (d_month_seq#38 <= 1211)) AND isnotnull(d_date_sk#7)) (37) CometProject -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (38) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/extended.txt index e64576b0f0..2cc4e03fbd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/extended.txt @@ -5,10 +5,10 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometSort +- CometColumnarExchange - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -43,4 +43,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 15 out of 37 eligible operators (40%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 37 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/simplified.txt index 7c5b24a903..71c4cba3f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q67.native_datafusion/simplified.txt @@ -11,10 +11,10 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_ CometColumnarExchange [i_category] #1 WindowGroupLimit [i_category,sumsales] WholeStageCodegen (5) - Sort [i_category,sumsales] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometHashAggregate [spark_grouping_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id] #2 WholeStageCodegen (4) HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/explain.txt index 7da946625e..5e98d02232 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#11] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, su Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18] Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#6)), sum(UnscaledValue(ss_ext_list_price#7)), sum(UnscaledValue(ss_ext_tax#8))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#6))#25, sum(UnscaledValue(ss_ext_list_price#7))#26, sum(UnscaledValue(ss_ext_tax#8))#27] -Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#18 AS bought_city#28, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#6))#25,17,2) AS extended_price#29, MakeDecimal(sum(UnscaledValue(ss_ext_list_price#7))#26,17,2) AS list_price#30, MakeDecimal(sum(UnscaledValue(ss_ext_tax#8))#27,17,2) AS extended_tax#31] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Condition : (isnotnull(c_customer_sk#32) AND isnotnull(c_current_addr_sk#33)) +(31) CometFilter +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Condition : (isnotnull(c_customer_sk#25) AND isnotnull(c_current_addr_sk#26)) -(33) CometProject -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Arguments: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37], [c_customer_sk#32, c_current_addr_sk#33, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#34, 20, true, false, true) AS c_first_name#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#35, 30, true, false, true) AS c_last_name#37] +(32) CometProject +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [c_customer_sk#25, c_current_addr_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#27, 20, true, false, true) AS c_first_name#29, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#28, 30, true, false, true) AS c_last_name#30] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(35) BroadcastExchange -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [6]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34] +Right output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_customer_sk#1], [c_customer_sk#25], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#32] -Join type: Inner -Join condition: None +(35) CometProject +Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(37) Project [codegen id : 8] -Output [8]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#35, ca_city#36] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#38, ca_city#39] +(37) CometFilter +Input [2]: [ca_address_sk#35, ca_city#36] +Condition : (isnotnull(ca_address_sk#35) AND isnotnull(ca_city#36)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#38] -Join type: Inner -Join condition: NOT (ca_city#39 = bought_city#28) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#35, ca_city#36] +Arguments: [ca_address_sk#35, ca_city#36] -(40) Project [codegen id : 8] -Output [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Input [10]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37, ca_address_sk#38, ca_city#39] +(39) CometBroadcastHashJoin +Left output [8]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Right output [2]: [ca_address_sk#35, ca_city#36] +Arguments: [c_current_addr_sk#26], [ca_address_sk#35], Inner, NOT (ca_city#36 = bought_city#31), BuildRight -(41) TakeOrderedAndProject -Input [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Arguments: 100, [c_last_name#37 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] +(40) CometProject +Input [10]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30, ca_address_sk#35, ca_city#36] +Arguments: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(41) CometTakeOrderedAndProject +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#30 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#30,c_first_name#29,ca_city#36,bought_city#31,ss_ticket_number#5,extended_price#32,extended_tax#34,list_price#33]), [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], 100, 0, [c_last_name#30 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(42) CometColumnarToRow [codegen id : 6] +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#40, d_dom#41] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#37, d_dom#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] -Condition : ((((isnotnull(d_dom#41) AND (d_dom#41 >= 1)) AND (d_dom#41 <= 2)) AND d_year#40 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) +(44) CometFilter +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] +Condition : ((((isnotnull(d_dom#38) AND (d_dom#38 >= 1)) AND (d_dom#38 <= 2)) AND d_year#37 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) -(44) CometProject -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] +(45) CometProject +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] Arguments: [d_date_sk#11], [d_date_sk#11] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#11] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/simplified.txt index 05b883b1e6..d10dfa6232 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q68.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_city,extended_price,extended_tax,list_price] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax)),bought_city,extended_price,list_price,extended_tax,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometBroadcastHashJoin [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,ca_city,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_ext_sales_price,ss_ext_list_price,ss_ext_tax] [sum,sum,sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_ InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/explain.txt index 556dd015a5..f5e28ec4b8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -237,19 +237,17 @@ Results [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_pur Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] Arguments: hashpartitioning(cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(42) CometColumnarToRow [codegen id : 10] -Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] - -(43) HashAggregate [codegen id : 10] +(42) CometHashAggregate Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] Keys [5]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#28] -Results [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, count(1)#28 AS cnt1#29, cd_purchase_estimate#20, count(1)#28 AS cnt2#30, cd_credit_rating#25, count(1)#28 AS cnt3#31] -(44) TakeOrderedAndProject -Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#29, cd_purchase_estimate#20, cnt2#30, cd_credit_rating#25, cnt3#31] -Arguments: 100, [cd_gender#22 ASC NULLS FIRST, cd_marital_status#23 ASC NULLS FIRST, cd_education_status#24 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#25 ASC NULLS FIRST], [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#29, cd_purchase_estimate#20, cnt2#30, cd_credit_rating#25, cnt3#31] +(43) CometTakeOrderedAndProject +Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#22 ASC NULLS FIRST,cd_marital_status#23 ASC NULLS FIRST,cd_education_status#24 ASC NULLS FIRST,cd_purchase_estimate#20 ASC NULLS FIRST,cd_credit_rating#25 ASC NULLS FIRST], output=[cd_gender#22,cd_marital_status#23,cd_education_status#24,cnt1#28,cd_purchase_estimate#20,cnt2#29,cd_credit_rating#25,cnt3#30]), [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30], 100, 0, [cd_gender#22 ASC NULLS FIRST, cd_marital_status#23 ASC NULLS FIRST, cd_education_status#24 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#25 ASC NULLS FIRST], [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] + +(44) CometColumnarToRow [codegen id : 10] +Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] ===== Subqueries ===== @@ -262,18 +260,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#32, d_moy#33] +Output [3]: [d_date_sk#7, d_year#31, d_moy#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#7, d_year#32, d_moy#33] -Condition : (((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 2001)) AND (d_moy#33 >= 4)) AND (d_moy#33 <= 6)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#31, d_moy#32] +Condition : (((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2001)) AND (d_moy#32 >= 4)) AND (d_moy#32 <= 6)) AND isnotnull(d_date_sk#7)) (47) CometProject -Input [3]: [d_date_sk#7, d_year#32, d_moy#33] +Input [3]: [d_date_sk#7, d_year#31, d_moy#32] Arguments: [d_date_sk#7], [d_date_sk#7] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/extended.txt index 821b101f54..67e35cb533 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -63,4 +63,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 53 eligible operators (39%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 53 eligible operators (43%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/simplified.txt index f8868e38be..43cee0de33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/explain.txt index af81415f33..bc807bef32 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_pur Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#32] -Results [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#24, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] -Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#26 ASC NULLS FIRST,cd_marital_status#27 ASC NULLS FIRST,cd_education_status#28 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#29 ASC NULLS FIRST], output=[cd_gender#26,cd_marital_status#27,cd_education_status#28,cnt1#32,cd_purchase_estimate#24,cnt2#33,cd_credit_rating#29,cnt3#34]), [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34], 100, 0, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/explain.txt index af81415f33..bc807bef32 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_pur Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#32] -Results [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#24, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] -Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#26 ASC NULLS FIRST,cd_marital_status#27 ASC NULLS FIRST,cd_education_status#28 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#29 ASC NULLS FIRST], output=[cd_gender#26,cd_marital_status#27,cd_education_status#28,cnt1#32,cd_purchase_estimate#24,cnt2#33,cd_credit_rating#29,cnt3#34]), [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34], 100, 0, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q69/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/explain.txt index 1a5a7efc91..737928ed48 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#37, avg(UnscaledValue(ss_list_price#5))#38, avg(UnscaledValue(ss_coupon_amt#7))#39, avg(UnscaledValue(ss_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(ss_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(ss_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(ss_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(ss_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/extended.txt index f40fdbe4e3..7344a874f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/simplified.txt index bb670b4a73..5d0ad36f9d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q7.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/explain.txt index c1925c206e..0d56d0024a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/explain.txt @@ -1,52 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometColumnarExchange (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Expand (38) - +- * Project (37) - +- * BroadcastHashJoin Inner BuildRight (36) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (35) - +- * Project (34) - +- * BroadcastHashJoin LeftSemi BuildRight (33) - :- * CometColumnarToRow (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.store (7) - +- BroadcastExchange (32) - +- * Project (31) - +- * Filter (30) - +- Window (29) - +- WindowGroupLimit (28) - +- * Sort (27) - +- * HashAggregate (26) - +- * CometColumnarToRow (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * Project (22) - +- * BroadcastHashJoin Inner BuildRight (21) - :- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Filter (12) - : : +- * ColumnarToRow (11) - : : +- Scan parquet spark_catalog.default.store_sales (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - +- ReusedExchange (20) +TakeOrderedAndProject (47) ++- * Project (46) + +- Window (45) + +- * CometColumnarToRow (44) + +- CometSort (43) + +- CometExchange (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Expand (38) + +- * Project (37) + +- * BroadcastHashJoin Inner BuildRight (36) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (35) + +- * Project (34) + +- * BroadcastHashJoin LeftSemi BuildRight (33) + :- * CometColumnarToRow (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.store (7) + +- BroadcastExchange (32) + +- * Project (31) + +- * Filter (30) + +- Window (29) + +- WindowGroupLimit (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Filter (12) + : : +- * ColumnarToRow (11) + : : +- Scan parquet spark_catalog.default.store_sales (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.store_sales @@ -64,7 +63,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 53] +(4) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -138,7 +137,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14] -(20) ReusedExchange [Reuses operator id: 53] +(20) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#15] (21) BroadcastHashJoin [codegen id : 4] @@ -162,35 +161,33 @@ Results [2]: [s_state#14, sum#17] Input [2]: [s_state#14, sum#17] Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#14, sum#17] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#14, sum#17] Keys [1]: [s_state#14] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18] -Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14] -(27) Sort [codegen id : 5] -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14, _w0#18, s_state#14], [s_state#14 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#14, _w0#18, s_state#14] (28) WindowGroupLimit -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14], [_w0#19 DESC NULLS LAST], rank(_w0#19), 5, Final +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14], [_w0#18 DESC NULLS LAST], rank(_w0#18), 5, Final (29) Window -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST] +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [rank(_w0#18) windowspecdefinition(s_state#14, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#14], [_w0#18 DESC NULLS LAST] (30) Filter [codegen id : 6] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] -Condition : (ranking#20 <= 5) +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] +Condition : (ranking#19 <= 5) (31) Project [codegen id : 6] Output [1]: [s_state#14] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] (32) BroadcastExchange Input [1]: [s_state#14] @@ -203,11 +200,11 @@ Join type: LeftSemi Join condition: None (34) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#21] +Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#20] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (35) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#21] +Input [3]: [s_store_sk#6, s_county#7, s_state#20] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (36) BroadcastHashJoin [codegen id : 8] @@ -217,86 +214,81 @@ Join type: Inner Join condition: None (37) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_state#21, s_county#7] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21] +Output [3]: [ss_net_profit#2, s_state#20, s_county#7] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#20] (38) Expand [codegen id : 8] -Input [3]: [ss_net_profit#2, s_state#21, s_county#7] -Arguments: [[ss_net_profit#2, s_state#21, s_county#7, 0], [ss_net_profit#2, s_state#21, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#22, s_county#23, spark_grouping_id#24] +Input [3]: [ss_net_profit#2, s_state#20, s_county#7] +Arguments: [[ss_net_profit#2, s_state#20, s_county#7, 0], [ss_net_profit#2, s_state#20, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#21, s_county#22, spark_grouping_id#23] (39) HashAggregate [codegen id : 8] -Input [4]: [ss_net_profit#2, s_state#22, s_county#23, spark_grouping_id#24] -Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] +Input [4]: [ss_net_profit#2, s_state#21, s_county#22, spark_grouping_id#23] +Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#25] -Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] +Aggregate Attributes [1]: [sum#24] +Results [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] (40) CometColumnarExchange -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] -Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(41) CometColumnarToRow [codegen id : 9] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] +Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] +Arguments: hashpartitioning(s_state#21, s_county#22, spark_grouping_id#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(42) HashAggregate [codegen id : 9] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] -Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] +(41) CometHashAggregate +Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] +Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(43) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(42) CometExchange +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: hashpartitioning(_w1#29, _w2#30, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(44) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(43) CometSort +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30], [_w1#29 ASC NULLS FIRST, _w2#30 ASC NULLS FIRST, _w0#28 DESC NULLS LAST] -(45) CometColumnarToRow [codegen id : 10] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(44) CometColumnarToRow [codegen id : 9] +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] -(46) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(45) Window +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: [rank(_w0#28) windowspecdefinition(_w1#29, _w2#30, _w0#28 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#31], [_w1#29, _w2#30], [_w0#28 DESC NULLS LAST] -(47) Project [codegen id : 11] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(46) Project [codegen id : 10] +Output [5]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] +Input [8]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30, rank_within_parent#31] -(48) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(47) TakeOrderedAndProject +Input [5]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] +Arguments: 100, [lochierarchy#27 DESC NULLS LAST, CASE WHEN (lochierarchy#27 = 0) THEN s_state#21 END ASC NULLS FIRST, rank_within_parent#31 ASC NULLS FIRST], [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometNativeScan parquet spark_catalog.default.date_dim (49) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometNativeScan parquet spark_catalog.default.date_dim (48) -(49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#34] +(48) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#34] -Condition : (((isnotnull(d_month_seq#34) AND (d_month_seq#34 >= 1200)) AND (d_month_seq#34 <= 1211)) AND isnotnull(d_date_sk#5)) +(49) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#32] +Condition : (((isnotnull(d_month_seq#32) AND (d_month_seq#32 >= 1200)) AND (d_month_seq#32 <= 1211)) AND isnotnull(d_date_sk#5)) -(51) CometProject -Input [2]: [d_date_sk#5, d_month_seq#34] +(50) CometProject +Input [2]: [d_date_sk#5, d_month_seq#32] Arguments: [d_date_sk#5], [d_date_sk#5] -(52) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(53) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/extended.txt index 4832534e6e..be842d629a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/extended.txt @@ -3,63 +3,62 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 18 out of 53 eligible operators (33%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 53 eligible operators (39%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/simplified.txt index f61238590a..4f132afeb6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_datafusion/simplified.txt @@ -1,80 +1,77 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (11) + WholeStageCodegen (10) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (10) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (9) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #6 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #3 + BroadcastExchange #5 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #6 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/explain.txt index 95dc8874aa..b4f8099a4a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/explain.txt @@ -1,53 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (49) -+- * Project (48) - +- Window (47) - +- * CometColumnarToRow (46) - +- CometSort (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * CometColumnarToRow (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- * Expand (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (36) - +- * Project (35) - +- * BroadcastHashJoin LeftSemi BuildRight (34) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (33) - +- * Project (32) - +- * Filter (31) - +- Window (30) - +- WindowGroupLimit (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (48) ++- * Project (47) + +- Window (46) + +- * CometColumnarToRow (45) + +- CometSort (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometColumnarExchange (41) + +- * HashAggregate (40) + +- * Expand (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (36) + +- * Project (35) + +- * BroadcastHashJoin LeftSemi BuildRight (34) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (33) + +- * Project (32) + +- * Filter (31) + +- Window (30) + +- WindowGroupLimit (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -239,68 +238,63 @@ Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(42) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(44) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(43) CometExchange +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: hashpartitioning(_w1#30, _w2#31, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(45) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(44) CometSort +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31], [_w1#30 ASC NULLS FIRST, _w2#31 ASC NULLS FIRST, _w0#29 DESC NULLS LAST] -(46) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(45) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] -(47) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(46) Window +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [rank(_w0#29) windowspecdefinition(_w1#30, _w2#31, _w0#29 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#32], [_w1#30, _w2#31], [_w0#29 DESC NULLS LAST] -(48) Project [codegen id : 7] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(47) Project [codegen id : 6] +Output [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Input [8]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31, rank_within_parent#32] -(49) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(48) TakeOrderedAndProject +Input [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Arguments: 100, [lochierarchy#28 DESC NULLS LAST, CASE WHEN (lochierarchy#28 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#32 ASC NULLS FIRST], [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (54) -+- * CometColumnarToRow (53) - +- CometProject (52) - +- CometFilter (51) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (50) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometProject (51) + +- CometFilter (50) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) -(50) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(51) CometFilter +(50) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(52) CometProject +(51) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(53) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(54) BroadcastExchange +(53) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/extended.txt index 45a2c7a669..da26f66d1f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/extended.txt @@ -3,59 +3,58 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 53 eligible operators (64%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/simplified.txt index 80f0cfc8c2..9471f61da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70.native_iceberg_compat/simplified.txt @@ -1,74 +1,71 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/explain.txt index 95dc8874aa..b4f8099a4a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/explain.txt @@ -1,53 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (49) -+- * Project (48) - +- Window (47) - +- * CometColumnarToRow (46) - +- CometSort (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * CometColumnarToRow (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- * Expand (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (36) - +- * Project (35) - +- * BroadcastHashJoin LeftSemi BuildRight (34) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (33) - +- * Project (32) - +- * Filter (31) - +- Window (30) - +- WindowGroupLimit (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (48) ++- * Project (47) + +- Window (46) + +- * CometColumnarToRow (45) + +- CometSort (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometColumnarExchange (41) + +- * HashAggregate (40) + +- * Expand (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (36) + +- * Project (35) + +- * BroadcastHashJoin LeftSemi BuildRight (34) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (33) + +- * Project (32) + +- * Filter (31) + +- Window (30) + +- WindowGroupLimit (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -239,68 +238,63 @@ Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(42) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(44) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(43) CometExchange +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: hashpartitioning(_w1#30, _w2#31, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(45) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(44) CometSort +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31], [_w1#30 ASC NULLS FIRST, _w2#31 ASC NULLS FIRST, _w0#29 DESC NULLS LAST] -(46) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(45) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] -(47) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(46) Window +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [rank(_w0#29) windowspecdefinition(_w1#30, _w2#31, _w0#29 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#32], [_w1#30, _w2#31], [_w0#29 DESC NULLS LAST] -(48) Project [codegen id : 7] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(47) Project [codegen id : 6] +Output [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Input [8]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31, rank_within_parent#32] -(49) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(48) TakeOrderedAndProject +Input [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Arguments: 100, [lochierarchy#28 DESC NULLS LAST, CASE WHEN (lochierarchy#28 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#32 ASC NULLS FIRST], [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (54) -+- * CometColumnarToRow (53) - +- CometProject (52) - +- CometFilter (51) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (50) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometProject (51) + +- CometFilter (50) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) -(50) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(51) CometFilter +(50) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(52) CometProject +(51) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(53) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(54) BroadcastExchange +(53) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/extended.txt index 45a2c7a669..da26f66d1f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/extended.txt @@ -3,59 +3,58 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 53 eligible operators (64%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/simplified.txt index 80f0cfc8c2..9471f61da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q70/simplified.txt @@ -1,74 +1,71 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/explain.txt index 7c4f959123..ff49d9c8fb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/explain.txt @@ -1,44 +1,43 @@ == Physical Plan == -* CometColumnarToRow (40) -+- CometSort (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * CometColumnarToRow (36) - +- CometColumnarExchange (35) - +- * HashAggregate (34) - +- * Project (33) - +- * BroadcastHashJoin Inner BuildRight (32) - :- * Project (26) - : +- * BroadcastHashJoin Inner BuildLeft (25) - : :- BroadcastExchange (5) - : : +- * CometColumnarToRow (4) - : : +- CometProject (3) - : : +- CometFilter (2) - : : +- CometNativeScan parquet spark_catalog.default.item (1) - : +- Union (24) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildRight (10) - : : :- * Filter (8) - : : : +- * ColumnarToRow (7) - : : : +- Scan parquet spark_catalog.default.web_sales (6) - : : +- ReusedExchange (9) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.catalog_sales (12) - : : +- ReusedExchange (15) - : +- * Project (23) - : +- * BroadcastHashJoin Inner BuildRight (22) - : :- * Filter (20) - : : +- * ColumnarToRow (19) - : : +- Scan parquet spark_catalog.default.store_sales (18) - : +- ReusedExchange (21) - +- BroadcastExchange (31) - +- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.time_dim (27) +* CometColumnarToRow (39) ++- CometSort (38) + +- CometExchange (37) + +- CometHashAggregate (36) + +- CometColumnarExchange (35) + +- * HashAggregate (34) + +- * Project (33) + +- * BroadcastHashJoin Inner BuildRight (32) + :- * Project (26) + : +- * BroadcastHashJoin Inner BuildLeft (25) + : :- BroadcastExchange (5) + : : +- * CometColumnarToRow (4) + : : +- CometProject (3) + : : +- CometFilter (2) + : : +- CometNativeScan parquet spark_catalog.default.item (1) + : +- Union (24) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildRight (10) + : : :- * Filter (8) + : : : +- * ColumnarToRow (7) + : : : +- Scan parquet spark_catalog.default.web_sales (6) + : : +- ReusedExchange (9) + : :- * Project (17) + : : +- * BroadcastHashJoin Inner BuildRight (16) + : : :- * Filter (14) + : : : +- * ColumnarToRow (13) + : : : +- Scan parquet spark_catalog.default.catalog_sales (12) + : : +- ReusedExchange (15) + : +- * Project (23) + : +- * BroadcastHashJoin Inner BuildRight (22) + : :- * Filter (20) + : : +- * ColumnarToRow (19) + : : +- Scan parquet spark_catalog.default.store_sales (18) + : +- ReusedExchange (21) + +- BroadcastExchange (31) + +- * CometColumnarToRow (30) + +- CometProject (29) + +- CometFilter (28) + +- CometNativeScan parquet spark_catalog.default.time_dim (27) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9] Condition : (isnotnull(ws_item_sk#7) AND isnotnull(ws_sold_time_sk#6)) -(9) ReusedExchange [Reuses operator id: 45] +(9) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#11] (10) BroadcastHashJoin [codegen id : 3] @@ -106,7 +105,7 @@ Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_da Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Condition : (isnotnull(cs_item_sk#16) AND isnotnull(cs_sold_time_sk#15)) -(15) ReusedExchange [Reuses operator id: 45] +(15) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#19] (16) BroadcastHashJoin [codegen id : 5] @@ -134,7 +133,7 @@ Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_da Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26] Condition : (isnotnull(ss_item_sk#24) AND isnotnull(ss_sold_time_sk#23)) -(21) ReusedExchange [Reuses operator id: 45] +(21) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#27] (22) BroadcastHashJoin [codegen id : 7] @@ -202,56 +201,51 @@ Results [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Arguments: hashpartitioning(i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(36) CometColumnarToRow [codegen id : 10] -Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] - -(37) HashAggregate [codegen id : 10] +(36) CometHashAggregate Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Keys [4]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33] Functions [1]: [sum(UnscaledValue(ext_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ext_price#12))#37] -Results [5]: [i_brand_id#2 AS brand_id#38, i_brand#5 AS brand#39, t_hour#32, t_minute#33, MakeDecimal(sum(UnscaledValue(ext_price#12))#37,17,2) AS ext_price#40] -(38) CometColumnarExchange -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: rangepartitioning(ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(37) CometExchange +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: rangepartitioning(ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(39) CometSort -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40], [ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST] +(38) CometSort +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39], [ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST] -(40) CometColumnarToRow [codegen id : 11] -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] +(39) CometColumnarToRow [codegen id : 10] +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 6 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (45) -+- * CometColumnarToRow (44) - +- CometProject (43) - +- CometFilter (42) - +- CometNativeScan parquet spark_catalog.default.date_dim (41) +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(41) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#41, d_moy#42] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(42) CometFilter -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 11)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#11)) +(41) CometFilter +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] +Condition : ((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 = 11)) AND (d_year#40 = 1999)) AND isnotnull(d_date_sk#11)) -(43) CometProject -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] +(42) CometProject +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] Arguments: [d_date_sk#11], [d_date_sk#11] -(44) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(45) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/extended.txt index 427d3518dc..e7c4aabd0f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/extended.txt @@ -1,62 +1,61 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.time_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- Union + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.time_dim -Comet accelerated 21 out of 49 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 22 out of 49 eligible operators (44%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/simplified.txt index 838a3e6604..c5b2b60263 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q71.native_datafusion/simplified.txt @@ -1,71 +1,68 @@ -WholeStageCodegen (11) +WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [brand_id,brand,t_hour,t_minute,ext_price] - CometColumnarExchange [ext_price,brand_id] #1 - WholeStageCodegen (10) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,sum] [sum(UnscaledValue(ext_price)),brand_id,brand,ext_price,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 - WholeStageCodegen (9) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] - Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] - BroadcastHashJoin [time_sk,t_time_sk] - Project [i_brand_id,i_brand,ext_price,time_sk] - BroadcastHashJoin [i_item_sk,sold_item_sk] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow + CometExchange [ext_price,brand_id] #1 + CometHashAggregate [sum] [brand_id,brand,t_hour,t_minute,ext_price,i_brand_id,i_brand,sum(UnscaledValue(ext_price))] + CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 + WholeStageCodegen (9) + HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] + Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] + BroadcastHashJoin [time_sk,t_time_sk] + Project [i_brand_id,i_brand,ext_price,time_sk] + BroadcastHashJoin [i_item_sk,sold_item_sk] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] + CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] + InputAdapter + Union + WholeStageCodegen (3) + Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk,ws_sold_time_sk] + ColumnarToRow InputAdapter - CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] - CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] - InputAdapter - Union - WholeStageCodegen (3) - Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk,ws_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (5) - Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_item_sk,cs_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (7) - Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - CometColumnarToRow + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] InputAdapter - CometProject [t_time_sk,t_hour,t_minute] - CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (5) + Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_item_sk,cs_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (7) + Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk,t_hour,t_minute] + CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/explain.txt index 7fe1aa758c..68f4076ce1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 1) AND (cnt#17 <= 5)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 1) AND (cnt#16 <= 5)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(cnt#17 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(cnt#16 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [cnt#17 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [cnt#16 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : ((((isnotnull(d_dom#28) AND (d_dom#28 >= 1)) AND (d_dom#28 <= 2)) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : ((((isnotnull(d_dom#27) AND (d_dom#27 >= 1)) AND (d_dom#27 <= 2)) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/simplified.txt index 4d2a6a74ab..cf64b4f5d6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q73.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [cnt] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [cnt] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/explain.txt index c019668fc8..ddf049abc5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#19, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#21, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#22, 30, true, false, true) AS c_last_name#7] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#7] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_customer_sk#23) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_customer_sk#22) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#23] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#22] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25] -Input [7]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#27, d_year#28] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24] +Input [7]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#25] -Right keys [1]: [d_date_sk#27] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#26, d_year#27] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25, d_date_sk#27, d_year#28] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum#29] -Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#24))#16] -Results [4]: [c_customer_id#5 AS customer_id#31, c_first_name#6 AS customer_first_name#32, c_last_name#7 AS customer_last_name#33, MakeDecimal(sum(UnscaledValue(ss_net_paid#24))#16,17,2) AS year_total#34] - -(36) BroadcastExchange -Input [4]: [customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#31] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#26] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24, d_date_sk#26, d_year#27] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#23))] +Aggregate Attributes [1]: [sum#28] +Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [sum(UnscaledValue(ss_net_paid#23))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#16], [customer_id#30], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Condition : (isnotnull(c_customer_sk#35) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true))) +(37) CometFilter +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Condition : (isnotnull(c_customer_sk#34) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true))) -(40) CometProject -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Arguments: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#37, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#38, 30, true, false, true) AS c_last_name#41] +(38) CometProject +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Arguments: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#40] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#42) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#41) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#35] -Right keys [1]: [ws_bill_customer_sk#42] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#34] +Right keys [1]: [ws_bill_customer_sk#41] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44] -Input [7]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43] +Input [7]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#45, d_year#46] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#44, d_year#45] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#44] -Right keys [1]: [d_date_sk#45] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44, d_date_sk#45, d_year#46] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum#47] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#43))#49] -Results [2]: [c_customer_id#39 AS customer_id#50, MakeDecimal(sum(UnscaledValue(ws_net_paid#43))#49,17,2) AS year_total#51] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#50, year_total#51] -Condition : (isnotnull(year_total#51) AND (year_total#51 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#50, year_total#51] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#50] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51] -Input [8]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, customer_id#50, year_total#51] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43, d_date_sk#44, d_year#45] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#42))] +Aggregate Attributes [1]: [sum#46] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [sum(UnscaledValue(ws_net_paid#42))] + +(52) CometFilter +Input [2]: [customer_id#48, year_total#49] +Condition : (isnotnull(year_total#49) AND (year_total#49 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#48, year_total#49] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Right output [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#16], [customer_id#48], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, customer_id#48, year_total#49] +Arguments: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49], [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Condition : (isnotnull(c_customer_sk#52) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true))) +(57) CometFilter +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Condition : (isnotnull(c_customer_sk#50) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true))) -(61) CometProject -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Arguments: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#54, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#55, 30, true, false, true) AS c_last_name#41] +(58) CometProject +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Arguments: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#50, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#52, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#53, 30, true, false, true) AS c_last_name#40] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#58), dynamicpruningexpression(ws_sold_date_sk#58 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ws_sold_date_sk#56), dynamicpruningexpression(ws_sold_date_sk#56 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Condition : isnotnull(ws_bill_customer_sk#56) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Condition : isnotnull(ws_bill_customer_sk#54) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#52] -Right keys [1]: [ws_bill_customer_sk#56] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#50] +Right keys [1]: [ws_bill_customer_sk#54] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58] -Input [7]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56] +Input [7]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#59, d_year#60] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#57, d_year#58] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#58] -Right keys [1]: [d_date_sk#59] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#56] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58, d_date_sk#59, d_year#60] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum#61] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#57))#49] -Results [2]: [c_customer_id#39 AS customer_id#63, MakeDecimal(sum(UnscaledValue(ws_net_paid#57))#49,17,2) AS year_total#64] - -(76) BroadcastExchange -Input [2]: [customer_id#63, year_total#64] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#63] -Join type: Inner -Join condition: (CASE WHEN (year_total#51 > 0.00) THEN (year_total#64 / year_total#51) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#34 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56, d_date_sk#57, d_year#58] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#55))] +Aggregate Attributes [1]: [sum#59] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [sum(UnscaledValue(ws_net_paid#55))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Input [9]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51, customer_id#63, year_total#64] +(72) CometBroadcastExchange +Input [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#61, year_total#62] -(79) TakeOrderedAndProject -Input [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Arguments: 100, [customer_id#31 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST], [customer_id#31, customer_first_name#32, customer_last_name#33] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] +Right output [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#16], [customer_id#61], Inner, (CASE WHEN (year_total#49 > 0.00) THEN (year_total#62 / year_total#49) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#33 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49, customer_id#61, year_total#62] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#30 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST], output=[customer_id#30,customer_first_name#31,customer_last_name#32]), [customer_id#30, customer_first_name#31, customer_last_name#32], 100, 0, [customer_id#30 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#26 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#25 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#27, d_year#28] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#27, d_year#28] -Condition : (((isnotnull(d_year#28) AND (d_year#28 = 2002)) AND d_year#28 IN (2001,2002)) AND isnotnull(d_date_sk#27)) +(82) CometFilter +Input [2]: [d_date_sk#26, d_year#27] +Condition : (((isnotnull(d_year#27) AND (d_year#27 = 2002)) AND d_year#27 IN (2001,2002)) AND isnotnull(d_date_sk#26)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#27, d_year#28] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#26, d_year#27] -(87) BroadcastExchange -Input [2]: [d_date_sk#27, d_year#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#26, d_year#27] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#58 IN dynamicpruning#26 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#56 IN dynamicpruning#25 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/simplified.txt index f488e18c7c..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/explain.txt index ae530b4900..dc34194c8f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/explain.txt @@ -1,96 +1,94 @@ == Physical Plan == -TakeOrderedAndProject (92) -+- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Expand (87) - +- Union (86) - :- * Project (32) - : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : :- * HashAggregate (16) - : : +- * CometColumnarToRow (15) - : : +- CometColumnarExchange (14) - : : +- * HashAggregate (13) - : : +- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (10) - : : +- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (30) - : +- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (22) - : : +- * BroadcastHashJoin Inner BuildRight (21) - : : :- * Filter (19) - : : : +- * ColumnarToRow (18) - : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : +- ReusedExchange (20) - : +- ReusedExchange (23) - :- * Project (53) - : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : :- BroadcastExchange (42) - : : +- * HashAggregate (41) - : : +- * CometColumnarToRow (40) - : : +- CometColumnarExchange (39) - : : +- * HashAggregate (38) - : : +- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * ColumnarToRow (34) - : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : +- ReusedExchange (35) - : +- * HashAggregate (51) - : +- * CometColumnarToRow (50) - : +- CometColumnarExchange (49) - : +- * HashAggregate (48) - : +- * Project (47) - : +- * BroadcastHashJoin Inner BuildRight (46) - : :- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : +- ReusedExchange (45) - +- * Project (85) - +- * BroadcastHashJoin LeftOuter BuildRight (84) - :- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- CometColumnarExchange (67) - : +- * HashAggregate (66) - : +- * Project (65) - : +- * BroadcastHashJoin Inner BuildRight (64) - : :- * Project (59) - : : +- * BroadcastHashJoin Inner BuildRight (58) - : : :- * Filter (56) - : : : +- * ColumnarToRow (55) - : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (57) - : +- BroadcastExchange (63) - : +- * CometColumnarToRow (62) - : +- CometFilter (61) - : +- CometNativeScan parquet spark_catalog.default.web_page (60) - +- BroadcastExchange (83) - +- * HashAggregate (82) - +- * CometColumnarToRow (81) - +- CometColumnarExchange (80) - +- * HashAggregate (79) - +- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (75) - : +- * BroadcastHashJoin Inner BuildRight (74) - : :- * Filter (72) - : : +- * ColumnarToRow (71) - : : +- Scan parquet spark_catalog.default.web_returns (70) - : +- ReusedExchange (73) - +- ReusedExchange (76) +* CometColumnarToRow (90) ++- CometTakeOrderedAndProject (89) + +- CometHashAggregate (88) + +- CometColumnarExchange (87) + +- * HashAggregate (86) + +- * Expand (85) + +- Union (84) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometHashAggregate (15) + : : +- CometColumnarExchange (14) + : : +- * HashAggregate (13) + : : +- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (10) + : : +- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- CometBroadcastExchange (28) + : +- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (21) + : : +- * BroadcastHashJoin Inner BuildRight (20) + : : :- * Filter (18) + : : : +- * ColumnarToRow (17) + : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : +- ReusedExchange (19) + : +- ReusedExchange (22) + :- * Project (52) + : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : :- BroadcastExchange (41) + : : +- * CometColumnarToRow (40) + : : +- CometHashAggregate (39) + : : +- CometColumnarExchange (38) + : : +- * HashAggregate (37) + : : +- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * ColumnarToRow (33) + : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : +- ReusedExchange (34) + : +- * CometColumnarToRow (50) + : +- CometHashAggregate (49) + : +- CometColumnarExchange (48) + : +- * HashAggregate (47) + : +- * Project (46) + : +- * BroadcastHashJoin Inner BuildRight (45) + : :- * ColumnarToRow (43) + : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : +- ReusedExchange (44) + +- * CometColumnarToRow (83) + +- CometProject (82) + +- CometBroadcastHashJoin (81) + :- CometHashAggregate (67) + : +- CometColumnarExchange (66) + : +- * HashAggregate (65) + : +- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (58) + : : +- * BroadcastHashJoin Inner BuildRight (57) + : : :- * Filter (55) + : : : +- * ColumnarToRow (54) + : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : +- ReusedExchange (56) + : +- BroadcastExchange (62) + : +- * CometColumnarToRow (61) + : +- CometFilter (60) + : +- CometNativeScan parquet spark_catalog.default.web_page (59) + +- CometBroadcastExchange (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- * Project (76) + +- * BroadcastHashJoin Inner BuildRight (75) + :- * Project (73) + : +- * BroadcastHashJoin Inner BuildRight (72) + : :- * Filter (70) + : : +- * ColumnarToRow (69) + : : +- Scan parquet spark_catalog.default.web_returns (68) + : +- ReusedExchange (71) + +- ReusedExchange (74) (1) Scan parquet spark_catalog.default.store_sales @@ -108,7 +106,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 97] +(4) ReusedExchange [Reuses operator id: 95] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -160,416 +158,394 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] + +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(32) Project [codegen id : 8] -Output [5]: [sales#14, coalesce(returns#28, 0.00) AS returns#30, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#31, store channel AS channel#32, s_store_sk#7 AS id#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [sales#24, returns#26, profit#27, channel#28, id#29], [sales#24, coalesce(returns#22, 0.00) AS returns#26, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#27, store channel AS channel#28, s_store_sk#7 AS id#29] -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] - -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] + +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#59, catalog channel AS channel#60, cs_call_center_sk#34 AS id#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#51, catalog channel AS channel#52, cs_call_center_sk#30 AS id#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] -(85) Project [codegen id : 22] -Output [5]: [sales#74, coalesce(returns#88, 0.00) AS returns#90, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#91, web channel AS channel#92, wp_web_page_sk#67 AS id#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight -(86) Union +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [sales#76, returns#78, profit#79, channel#80, id#81], [sales#76, coalesce(returns#74, 0.00) AS returns#78, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#79, web channel AS channel#80, wp_web_page_sk#59 AS id#81] -(87) Expand [codegen id : 23] -Input [5]: [sales#14, returns#30, profit#31, channel#32, id#33] -Arguments: [[sales#14, returns#30, profit#31, channel#32, id#33, 0], [sales#14, returns#30, profit#31, channel#32, null, 1], [sales#14, returns#30, profit#31, null, null, 3]], [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [sales#76, returns#78, profit#79, channel#80, id#81] -(88) HashAggregate [codegen id : 23] -Input [6]: [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#30), partial_sum(profit#31)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(84) Union -(89) CometColumnarExchange -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#94, id#95, spark_grouping_id#96, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(85) Expand [codegen id : 21] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] +Arguments: [[sales#24, returns#26, profit#27, channel#28, id#29, 0], [sales#24, returns#26, profit#27, channel#28, null, 1], [sales#24, returns#26, profit#27, null, null, 3]], [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] -(90) CometColumnarToRow [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(86) HashAggregate [codegen id : 21] +Input [6]: [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#26), partial_sum(profit#27)] +Aggregate Attributes [6]: [sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] +Results [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] -(91) HashAggregate [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [sum(sales#14), sum(returns#30), sum(profit#31)] -Aggregate Attributes [3]: [sum(sales#14)#109, sum(returns#30)#110, sum(profit#31)#111] -Results [5]: [channel#94, id#95, sum(sales#14)#109 AS sales#112, sum(returns#30)#110 AS returns#113, sum(profit#31)#111 AS profit#114] +(87) CometColumnarExchange +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#82, id#83, spark_grouping_id#84, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(92) TakeOrderedAndProject -Input [5]: [channel#94, id#95, sales#112, returns#113, profit#114] -Arguments: 100, [channel#94 ASC NULLS FIRST, id#95 ASC NULLS FIRST], [channel#94, id#95, sales#112, returns#113, profit#114] +(88) CometHashAggregate +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [sum(sales#24), sum(returns#26), sum(profit#27)] + +(89) CometTakeOrderedAndProject +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#82 ASC NULLS FIRST,id#83 ASC NULLS FIRST], output=[channel#82,id#83,sales#97,returns#98,profit#99]), [channel#82, id#83, sales#97, returns#98, profit#99], 100, 0, [channel#82 ASC NULLS FIRST, id#83 ASC NULLS FIRST], [channel#82, id#83, sales#97, returns#98, profit#99] + +(90) CometColumnarToRow [codegen id : 22] +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (97) -+- * CometColumnarToRow (96) - +- CometProject (95) - +- CometFilter (94) - +- CometNativeScan parquet spark_catalog.default.date_dim (93) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometProject (93) + +- CometFilter (92) + +- CometNativeScan parquet spark_catalog.default.date_dim (91) -(93) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#115] +(91) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-03), LessThanOrEqual(d_date,2000-09-02), IsNotNull(d_date_sk)] ReadSchema: struct -(94) CometFilter -Input [2]: [d_date_sk#6, d_date#115] -Condition : (((isnotnull(d_date#115) AND (d_date#115 >= 2000-08-03)) AND (d_date#115 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) +(92) CometFilter +Input [2]: [d_date_sk#6, d_date#100] +Condition : (((isnotnull(d_date#100) AND (d_date#100 >= 2000-08-03)) AND (d_date#100 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) -(95) CometProject -Input [2]: [d_date_sk#6, d_date#115] +(93) CometProject +Input [2]: [d_date_sk#6, d_date#100] Arguments: [d_date_sk#6], [d_date_sk#6] -(96) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(97) BroadcastExchange +(95) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/extended.txt index d12b8dde24..93286d646f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/extended.txt @@ -1,41 +1,40 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -56,10 +55,10 @@ TakeOrderedAndProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.store :- Project - : +- BroadcastNestedLoopJoin + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -72,8 +71,8 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -86,32 +85,31 @@ TakeOrderedAndProject : +- CometProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -132,4 +130,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 36 out of 109 eligible operators (33%). Final plan contains 24 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 50 out of 109 eligible operators (45%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/simplified.txt index 4256e90759..dbaea7bf2e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_datafusion/simplified.txt @@ -1,20 +1,20 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (24) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (22) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] Expand [sales,returns,profit,channel,id] InputAdapter Union - WholeStageCodegen (8) - Project [sales,returns,profit,profit_loss,s_store_sk] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,s_store_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_sk] #2 WholeStageCodegen (3) HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] @@ -43,39 +43,35 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] InputAdapter CometFilter [s_store_sk] CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #6 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,returns,profit_loss] #5 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #6 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [s_store_sk] #4 - WholeStageCodegen (14) + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [s_store_sk] #4 + WholeStageCodegen (13) Project [sales,returns,profit,profit_loss,cs_call_center_sk] BroadcastNestedLoopJoin InputAdapter BroadcastExchange #7 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [cs_call_center_sk] #8 - WholeStageCodegen (10) + WholeStageCodegen (9) HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] BroadcastHashJoin [cs_sold_date_sk,d_date_sk] @@ -85,11 +81,11 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] CometColumnarExchange #9 - WholeStageCodegen (13) + WholeStageCodegen (12) HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] Project [cr_return_amount,cr_net_loss] BroadcastHashJoin [cr_returned_date_sk,d_date_sk] @@ -99,14 +95,14 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - WholeStageCodegen (22) - Project [sales,returns,profit,profit_loss,wp_web_page_sk] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,wp_web_page_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] CometColumnarExchange [wp_web_page_sk] #10 - WholeStageCodegen (17) + WholeStageCodegen (16) HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] @@ -121,30 +117,26 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedExchange [d_date_sk] #3 InputAdapter BroadcastExchange #11 - WholeStageCodegen (16) + WholeStageCodegen (15) CometColumnarToRow InputAdapter CometFilter [wp_web_page_sk] CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #13 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #12 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #13 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [wp_web_page_sk] #11 + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [wp_web_page_sk] #11 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q77/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/explain.txt index 78ed64abe7..e4f303c658 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/explain.txt @@ -1,36 +1,35 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * Project (31) - +- * BroadcastHashJoin Inner BuildRight (30) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (29) - +- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.customer (25) +* CometColumnarToRow (31) ++- CometTakeOrderedAndProject (30) + +- CometProject (29) + +- CometBroadcastHashJoin (28) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.customer (24) (1) Scan parquet spark_catalog.default.store_sales @@ -48,7 +47,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : ((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 37] +(4) ReusedExchange [Reuses operator id: 36] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 4] @@ -136,82 +135,76 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#21, sum(UnscaledValue(ss_net_profit#7))#22] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#21,17,2) AS amt#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#22,17,2) AS profit#24] -(25) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] +(24) CometNativeScan parquet spark_catalog.default.customer +Output [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(26) CometFilter -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Condition : isnotnull(c_customer_sk#25) +(25) CometFilter +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Condition : isnotnull(c_customer_sk#21) -(27) CometProject -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Arguments: [c_customer_sk#25, c_first_name#28, c_last_name#29], [c_customer_sk#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#26, 20, true, false, true) AS c_first_name#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#27, 30, true, false, true) AS c_last_name#29] +(26) CometProject +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25], [c_customer_sk#21, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#22, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#23, 30, true, false, true) AS c_last_name#25] -(28) CometColumnarToRow [codegen id : 5] -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] +(27) CometBroadcastExchange +Input [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25] -(29) BroadcastExchange -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27] +Right output [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#21], Inner, BuildRight -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#25] -Join type: Inner -Join condition: None +(29) CometProject +Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27, c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13], [c_last_name#25, c_first_name#24, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] -(31) Project [codegen id : 6] -Output [7]: [c_last_name#29, c_first_name#28, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#23, profit#24, c_customer_sk#25, c_first_name#28, c_last_name#29] +(30) CometTakeOrderedAndProject +Input [7]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#25 ASC NULLS FIRST,c_first_name#24 ASC NULLS FIRST,substr(s_city#13, 1, 30) ASC NULLS FIRST,profit#27 ASC NULLS FIRST], output=[c_last_name#25,c_first_name#24,substr(s_city, 1, 30)#28,ss_ticket_number#5,amt#26,profit#27]), [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27], 100, 0, [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#27 ASC NULLS FIRST], [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] -(32) TakeOrderedAndProject -Input [7]: [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Arguments: 100, [c_last_name#29 ASC NULLS FIRST, c_first_name#28 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#24 ASC NULLS FIRST], [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24] +(31) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (37) -+- * CometColumnarToRow (36) - +- CometProject (35) - +- CometFilter (34) - +- CometNativeScan parquet spark_catalog.default.date_dim (33) +BroadcastExchange (36) ++- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.date_dim (32) -(33) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#31, d_dow#32] +(32) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#29, d_dow#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dow), EqualTo(d_dow,1), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(34) CometFilter -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] -Condition : (((isnotnull(d_dow#32) AND (d_dow#32 = 1)) AND d_year#31 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(33) CometFilter +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] +Condition : (((isnotnull(d_dow#30) AND (d_dow#30 = 1)) AND d_year#29 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(35) CometProject -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] +(34) CometProject +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] Arguments: [d_date_sk#10], [d_date_sk#10] -(36) CometColumnarToRow [codegen id : 1] +(35) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(37) BroadcastExchange +(36) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/extended.txt index 05bd194c34..8014db6392 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/extended.txt @@ -1,44 +1,43 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 35 eligible operators (60%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/simplified.txt index 1ee7a286a4..d22932e9d2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q79.native_datafusion/simplified.txt @@ -1,10 +1,10 @@ -TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, 30),ss_ticket_number,amt] - WholeStageCodegen (6) - Project [c_last_name,c_first_name,s_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_city] [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit,s_city] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,s_city,amt,profit,c_customer_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,s_city,amt,profit,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city] #1 WholeStageCodegen (4) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -44,11 +44,7 @@ TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, CometProject [hd_demo_sk] CometFilter [hd_demo_sk,hd_dep_count,hd_vehicle_count] CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name] #5 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/explain.txt index 754a8871d1..9456ea4556 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -235,19 +235,17 @@ Results [2]: [s_store_name#7, sum#21] Input [2]: [s_store_name#7, sum#21] Arguments: hashpartitioning(s_store_name#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(42) CometColumnarToRow [codegen id : 5] -Input [2]: [s_store_name#7, sum#21] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [2]: [s_store_name#7, sum#21] Keys [1]: [s_store_name#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#22] -Results [2]: [s_store_name#7, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#22,17,2) AS sum(ss_net_profit)#23] -(44) TakeOrderedAndProject -Input [2]: [s_store_name#7, sum(ss_net_profit)#23] -Arguments: 100, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#23] +(43) CometTakeOrderedAndProject +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#7 ASC NULLS FIRST], output=[s_store_name#7,sum(ss_net_profit)#22]), [s_store_name#7, sum(ss_net_profit)#22], 100, 0, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#22] + +(44) CometColumnarToRow [codegen id : 5] +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] ===== Subqueries ===== @@ -260,18 +258,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Output [3]: [d_date_sk#5, d_year#23, d_qoy#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] -Condition : ((((isnotnull(d_qoy#25) AND isnotnull(d_year#24)) AND (d_qoy#25 = 2)) AND (d_year#24 = 1998)) AND isnotnull(d_date_sk#5)) +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] +Condition : ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 1998)) AND isnotnull(d_date_sk#5)) (47) CometProject -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] Arguments: [d_date_sk#5], [d_date_sk#5] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/extended.txt index 257b7f0d77..f6c170dacc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -53,4 +53,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 32 out of 48 eligible operators (66%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 48 eligible operators (70%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/simplified.txt index 4df6d8f659..1cf80a5bae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q8.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,sum(ss_net_profit)] - WholeStageCodegen (5) - HashAggregate [s_store_name,sum] [sum(UnscaledValue(ss_net_profit)),sum(ss_net_profit),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,sum(ss_net_profit)] + CometHashAggregate [sum] [s_store_name,sum(ss_net_profit),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_name] #1 WholeStageCodegen (4) HashAggregate [s_store_name,ss_net_profit] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/explain.txt index 098cf9fe54..592e3511b7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.catalog_returns @@ -70,7 +66,7 @@ Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_in Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] Condition : (isnotnull(cr_returning_addr_sk#2) AND isnotnull(cr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,221 +122,198 @@ Results [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [cr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))#12] -Results [3]: [cr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] +(18) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#19), dynamicpruningexpression(cr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#18), dynamicpruningexpression(cr_returned_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] +(19) ColumnarToRow [codegen id : 6] +Input [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] -(21) Filter [codegen id : 6] -Input [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] -Condition : isnotnull(cr_returning_addr_sk#17) +(20) Filter [codegen id : 6] +Input [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] +Condition : isnotnull(cr_returning_addr_sk#16) -(22) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#20] +(21) ReusedExchange [Reuses operator id: 55] +Output [1]: [d_date_sk#19] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returned_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18] -Input [5]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19, d_date_sk#20] +(23) Project [codegen id : 6] +Output [3]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17] +Input [5]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18, d_date_sk#19] -(25) ReusedExchange [Reuses operator id: 11] -Output [2]: [ca_address_sk#21, ca_state#9] +(24) ReusedExchange [Reuses operator id: 11] +Output [2]: [ca_address_sk#20, ca_state#9] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returning_addr_sk#17] -Right keys [1]: [ca_address_sk#21] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returning_addr_sk#16] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [3]: [cr_returning_customer_sk#16, cr_return_amt_inc_tax#18, ca_state#9] -Input [5]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, ca_address_sk#21, ca_state#9] - -(28) HashAggregate [codegen id : 6] -Input [3]: [cr_returning_customer_sk#16, cr_return_amt_inc_tax#18, ca_state#9] -Keys [2]: [cr_returning_customer_sk#16, ca_state#9] -Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#18))] -Aggregate Attributes [1]: [sum#22] -Results [3]: [cr_returning_customer_sk#16, ca_state#9, sum#23] - -(29) CometColumnarExchange -Input [3]: [cr_returning_customer_sk#16, ca_state#9, sum#23] -Arguments: hashpartitioning(cr_returning_customer_sk#16, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [cr_returning_customer_sk#16, ca_state#9, sum#23] - -(31) HashAggregate [codegen id : 7] -Input [3]: [cr_returning_customer_sk#16, ca_state#9, sum#23] -Keys [2]: [cr_returning_customer_sk#16, ca_state#9] -Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#18))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#18))#12] -Results [2]: [ca_state#9 AS ctr_state#24, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#18))#12,17,2) AS ctr_total_return#25] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#24, ctr_total_return#25] -Keys [1]: [ctr_state#24] -Functions [1]: [partial_avg(ctr_total_return#25)] -Aggregate Attributes [2]: [sum#26, count#27] -Results [3]: [ctr_state#24, sum#28, count#29] - -(33) CometColumnarExchange -Input [3]: [ctr_state#24, sum#28, count#29] -Arguments: hashpartitioning(ctr_state#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#24, sum#28, count#29] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#24, sum#28, count#29] -Keys [1]: [ctr_state#24] -Functions [1]: [avg(ctr_total_return#25)] -Aggregate Attributes [1]: [avg(ctr_total_return#25)#30] -Results [2]: [(avg(ctr_total_return#25)#30 * 1.2) AS (avg(ctr_total_return) * 1.2)#31, ctr_state#24] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#31, ctr_state#24] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#31) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#31, ctr_state#24] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#24] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#31) - -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#31, ctr_state#24] - -(40) CometNativeScan parquet spark_catalog.default.customer -Output [6]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37] +(26) Project [codegen id : 6] +Output [3]: [cr_returning_customer_sk#15, cr_return_amt_inc_tax#17, ca_state#9] +Input [5]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, ca_address_sk#20, ca_state#9] + +(27) HashAggregate [codegen id : 6] +Input [3]: [cr_returning_customer_sk#15, cr_return_amt_inc_tax#17, ca_state#9] +Keys [2]: [cr_returning_customer_sk#15, ca_state#9] +Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#17))] +Aggregate Attributes [1]: [sum#21] +Results [3]: [cr_returning_customer_sk#15, ca_state#9, sum#22] + +(28) CometColumnarExchange +Input [3]: [cr_returning_customer_sk#15, ca_state#9, sum#22] +Arguments: hashpartitioning(cr_returning_customer_sk#15, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [3]: [cr_returning_customer_sk#15, ca_state#9, sum#22] +Keys [2]: [cr_returning_customer_sk#15, ca_state#9] +Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#17))] + +(30) CometHashAggregate +Input [2]: [ctr_state#23, ctr_total_return#24] +Keys [1]: [ctr_state#23] +Functions [1]: [partial_avg(ctr_total_return#24)] + +(31) CometExchange +Input [3]: [ctr_state#23, sum#25, count#26] +Arguments: hashpartitioning(ctr_state#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#23, sum#25, count#26] +Keys [1]: [ctr_state#23] +Functions [1]: [avg(ctr_total_return#24)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#27) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [ctr_state#13], [ctr_state#23], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#27), BuildRight + +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#27, ctr_state#23] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [6]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [6]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37] -Condition : (isnotnull(c_customer_sk#32) AND isnotnull(c_current_addr_sk#34)) - -(42) CometProject -Input [6]: [c_customer_sk#32, c_customer_id#33, c_current_addr_sk#34, c_salutation#35, c_first_name#36, c_last_name#37] -Arguments: [c_customer_sk#32, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41], [c_customer_sk#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#33, 16, true, false, true) AS c_customer_id#38, c_current_addr_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#35, 10, true, false, true) AS c_salutation#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#41] +(38) CometFilter +Input [6]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33] +Condition : (isnotnull(c_customer_sk#28) AND isnotnull(c_current_addr_sk#30)) -(43) CometColumnarToRow [codegen id : 9] -Input [6]: [c_customer_sk#32, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41] +(39) CometProject +Input [6]: [c_customer_sk#28, c_customer_id#29, c_current_addr_sk#30, c_salutation#31, c_first_name#32, c_last_name#33] +Arguments: [c_customer_sk#28, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37], [c_customer_sk#28, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#29, 16, true, false, true) AS c_customer_id#34, c_current_addr_sk#30, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#31, 10, true, false, true) AS c_salutation#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#32, 20, true, false, true) AS c_first_name#36, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#33, 30, true, false, true) AS c_last_name#37] -(44) BroadcastExchange -Input [6]: [c_customer_sk#32, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [6]: [c_customer_sk#28, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] +Arguments: [c_customer_sk#28, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#32] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [6]: [c_customer_sk#28, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] +Arguments: [ctr_customer_sk#12], [c_customer_sk#28], Inner, BuildRight -(46) Project [codegen id : 11] -Output [6]: [ctr_total_return#15, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41] -Input [8]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#32, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41] +(42) CometProject +Input [8]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#28, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] +Arguments: [ctr_total_return#14, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37], [ctr_total_return#14, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [12]: [ca_address_sk#42, ca_street_number#43, ca_street_name#44, ca_street_type#45, ca_suite_number#46, ca_city#47, ca_county#48, ca_state#49, ca_zip#50, ca_country#51, ca_gmt_offset#52, ca_location_type#53] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [12]: [ca_address_sk#38, ca_street_number#39, ca_street_name#40, ca_street_type#41, ca_suite_number#42, ca_city#43, ca_county#44, ca_state#45, ca_zip#46, ca_country#47, ca_gmt_offset#48, ca_location_type#49] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [12]: [ca_address_sk#42, ca_street_number#43, ca_street_name#44, ca_street_type#45, ca_suite_number#46, ca_city#47, ca_county#48, ca_state#49, ca_zip#50, ca_country#51, ca_gmt_offset#52, ca_location_type#53] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#49, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#42)) +(44) CometFilter +Input [12]: [ca_address_sk#38, ca_street_number#39, ca_street_name#40, ca_street_type#41, ca_suite_number#42, ca_city#43, ca_county#44, ca_state#45, ca_zip#46, ca_country#47, ca_gmt_offset#48, ca_location_type#49] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#45, 2, true, false, true) = GA) AND isnotnull(ca_address_sk#38)) -(49) CometProject -Input [12]: [ca_address_sk#42, ca_street_number#43, ca_street_name#44, ca_street_type#45, ca_suite_number#46, ca_city#47, ca_county#48, ca_state#49, ca_zip#50, ca_country#51, ca_gmt_offset#52, ca_location_type#53] -Arguments: [ca_address_sk#42, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59], [ca_address_sk#42, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_number#43, 10, true, false, true) AS ca_street_number#54, ca_street_name#44, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_type#45, 15, true, false, true) AS ca_street_type#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_suite_number#46, 10, true, false, true) AS ca_suite_number#56, ca_city#47, ca_county#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#49, 2, true, false, true) AS ca_state#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_zip#50, 10, true, false, true) AS ca_zip#58, ca_country#51, ca_gmt_offset#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_location_type#53, 20, true, false, true) AS ca_location_type#59] +(45) CometProject +Input [12]: [ca_address_sk#38, ca_street_number#39, ca_street_name#40, ca_street_type#41, ca_suite_number#42, ca_city#43, ca_county#44, ca_state#45, ca_zip#46, ca_country#47, ca_gmt_offset#48, ca_location_type#49] +Arguments: [ca_address_sk#38, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55], [ca_address_sk#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_number#39, 10, true, false, true) AS ca_street_number#50, ca_street_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_street_type#41, 15, true, false, true) AS ca_street_type#51, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_suite_number#42, 10, true, false, true) AS ca_suite_number#52, ca_city#43, ca_county#44, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#45, 2, true, false, true) AS ca_state#53, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_zip#46, 10, true, false, true) AS ca_zip#54, ca_country#47, ca_gmt_offset#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_location_type#49, 20, true, false, true) AS ca_location_type#55] -(50) CometColumnarToRow [codegen id : 10] -Input [12]: [ca_address_sk#42, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59] +(46) CometBroadcastExchange +Input [12]: [ca_address_sk#38, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55] +Arguments: [ca_address_sk#38, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55] -(51) BroadcastExchange -Input [12]: [ca_address_sk#42, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [6]: [ctr_total_return#14, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37] +Right output [12]: [ca_address_sk#38, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55] +Arguments: [c_current_addr_sk#30], [ca_address_sk#38], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#34] -Right keys [1]: [ca_address_sk#42] -Join type: Inner -Join condition: None +(48) CometProject +Input [18]: [ctr_total_return#14, c_customer_id#34, c_current_addr_sk#30, c_salutation#35, c_first_name#36, c_last_name#37, ca_address_sk#38, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55] +Arguments: [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14], [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [16]: [c_customer_id#38, c_salutation#39, c_first_name#40, c_last_name#41, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59, ctr_total_return#15] -Input [18]: [ctr_total_return#15, c_customer_id#38, c_current_addr_sk#34, c_salutation#39, c_first_name#40, c_last_name#41, ca_address_sk#42, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59] +(49) CometTakeOrderedAndProject +Input [16]: [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#34 ASC NULLS FIRST,c_salutation#35 ASC NULLS FIRST,c_first_name#36 ASC NULLS FIRST,c_last_name#37 ASC NULLS FIRST,ca_street_number#50 ASC NULLS FIRST,ca_street_name#40 ASC NULLS FIRST,ca_street_type#51 ASC NULLS FIRST,ca_suite_number#52 ASC NULLS FIRST,ca_city#43 ASC NULLS FIRST,ca_county#44 ASC NULLS FIRST,ca_state#53 ASC NULLS FIRST,ca_zip#54 ASC NULLS FIRST,ca_country#47 ASC NULLS FIRST,ca_gmt_offset#48 ASC NULLS FIRST,ca_location_type#55 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#34,c_salutation#35,c_first_name#36,c_last_name#37,ca_street_number#50,ca_street_name#40,ca_street_type#51,ca_suite_number#52,ca_city#43,ca_county#44,ca_state#53,ca_zip#54,ca_country#47,ca_gmt_offset#48,ca_location_type#55,ctr_total_return#14]), [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14], 100, 0, [c_customer_id#34 ASC NULLS FIRST, c_salutation#35 ASC NULLS FIRST, c_first_name#36 ASC NULLS FIRST, c_last_name#37 ASC NULLS FIRST, ca_street_number#50 ASC NULLS FIRST, ca_street_name#40 ASC NULLS FIRST, ca_street_type#51 ASC NULLS FIRST, ca_suite_number#52 ASC NULLS FIRST, ca_city#43 ASC NULLS FIRST, ca_county#44 ASC NULLS FIRST, ca_state#53 ASC NULLS FIRST, ca_zip#54 ASC NULLS FIRST, ca_country#47 ASC NULLS FIRST, ca_gmt_offset#48 ASC NULLS FIRST, ca_location_type#55 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [16]: [c_customer_id#38, c_salutation#39, c_first_name#40, c_last_name#41, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59, ctr_total_return#15] -Arguments: 100, [c_customer_id#38 ASC NULLS FIRST, c_salutation#39 ASC NULLS FIRST, c_first_name#40 ASC NULLS FIRST, c_last_name#41 ASC NULLS FIRST, ca_street_number#54 ASC NULLS FIRST, ca_street_name#44 ASC NULLS FIRST, ca_street_type#55 ASC NULLS FIRST, ca_suite_number#56 ASC NULLS FIRST, ca_city#47 ASC NULLS FIRST, ca_county#48 ASC NULLS FIRST, ca_state#57 ASC NULLS FIRST, ca_zip#58 ASC NULLS FIRST, ca_country#51 ASC NULLS FIRST, ca_gmt_offset#52 ASC NULLS FIRST, ca_location_type#59 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#38, c_salutation#39, c_first_name#40, c_last_name#41, ca_street_number#54, ca_street_name#44, ca_street_type#55, ca_suite_number#56, ca_city#47, ca_county#48, ca_state#57, ca_zip#58, ca_country#51, ca_gmt_offset#52, ca_location_type#59, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [16]: [c_customer_id#34, c_salutation#35, c_first_name#36, c_last_name#37, ca_street_number#50, ca_street_name#40, ca_street_type#51, ca_suite_number#52, ca_city#43, ca_county#44, ca_state#53, ca_zip#54, ca_country#47, ca_gmt_offset#48, ca_location_type#55, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#60] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#56] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#60] -Condition : ((isnotnull(d_year#60) AND (d_year#60 = 2000)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#56] +Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2000)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#60] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#56] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = cr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#18 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/extended.txt index 0e70ec42fa..cf6ffd404c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/simplified.txt index da396ce8a9..01a6a89e7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q81.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,cr_returning_customer_sk,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] CometColumnarExchange [cr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_st CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] - Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] - BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] - Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Filter [cr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return)] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [cr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] + CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] + Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] + BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] + Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Filter [cr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] #8 + CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/explain.txt index cae143b42b..fd8fc5f1f1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (50) -+- * Project (49) - +- * BroadcastHashJoin Inner BuildRight (48) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (31) - : +- * HashAggregate (30) - : +- * CometColumnarToRow (29) - : +- CometColumnarExchange (28) - : +- * HashAggregate (27) - : +- * Project (26) - : +- * BroadcastHashJoin Inner BuildRight (25) - : :- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Filter (20) - : : : +- * ColumnarToRow (19) - : : : +- Scan parquet spark_catalog.default.catalog_returns (18) - : : +- ReusedExchange (21) - : +- ReusedExchange (24) - +- BroadcastExchange (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (39) - : +- * BroadcastHashJoin Inner BuildRight (38) - : :- * Filter (36) - : : +- * ColumnarToRow (35) - : : +- Scan parquet spark_catalog.default.web_returns (34) - : +- ReusedExchange (37) - +- ReusedExchange (40) +* CometColumnarToRow (48) ++- CometTakeOrderedAndProject (47) + +- CometProject (46) + +- CometBroadcastHashJoin (45) + :- CometProject (31) + : +- CometBroadcastHashJoin (30) + : :- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (29) + : +- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Filter (19) + : : : +- * ColumnarToRow (18) + : : : +- Scan parquet spark_catalog.default.catalog_returns (17) + : : +- ReusedExchange (20) + : +- ReusedExchange (23) + +- CometBroadcastExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * Filter (34) + : : +- * ColumnarToRow (33) + : : +- Scan parquet spark_catalog.default.web_returns (32) + : +- ReusedExchange (35) + +- ReusedExchange (38) (1) Scan parquet spark_catalog.default.store_returns @@ -98,7 +96,7 @@ Join condition: None Output [3]: [sr_return_quantity#2, sr_returned_date_sk#3, i_item_id#7] Input [5]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 64] +(11) ReusedExchange [Reuses operator id: 62] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -122,257 +120,243 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(sr_return_quantity#2)] -Aggregate Attributes [1]: [sum(sr_return_quantity#2)#11] -Results [2]: [i_item_id#7 AS item_id#12, sum(sr_return_quantity#2)#11 AS sr_item_qty#13] -(18) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(17) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#16), dynamicpruningexpression(cr_returned_date_sk#16 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(cr_returned_date_sk#13), dynamicpruningexpression(cr_returned_date_sk#13 IN dynamicpruning#4)] PushedFilters: [IsNotNull(cr_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] -(20) Filter [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] -Condition : isnotnull(cr_item_sk#14) +(19) Filter [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] +Condition : isnotnull(cr_item_sk#11) -(21) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#17, i_item_id#18] +(20) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#14, i_item_id#15] -(22) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_item_sk#14] -Right keys [1]: [i_item_sk#17] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_item_sk#11] +Right keys [1]: [i_item_sk#14] Join type: Inner Join condition: None -(23) Project [codegen id : 6] -Output [3]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#18] -Input [5]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16, i_item_sk#17, i_item_id#18] - -(24) ReusedExchange [Reuses operator id: 64] -Output [1]: [d_date_sk#19] +(22) Project [codegen id : 6] +Output [3]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#15] +Input [5]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13, i_item_sk#14, i_item_id#15] -(25) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returned_date_sk#16] -Right keys [1]: [d_date_sk#19] -Join type: Inner -Join condition: None +(23) ReusedExchange [Reuses operator id: 62] +Output [1]: [d_date_sk#16] -(26) Project [codegen id : 6] -Output [2]: [cr_return_quantity#15, i_item_id#18] -Input [4]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#18, d_date_sk#19] - -(27) HashAggregate [codegen id : 6] -Input [2]: [cr_return_quantity#15, i_item_id#18] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum#20] -Results [2]: [i_item_id#18, sum#21] - -(28) CometColumnarExchange -Input [2]: [i_item_id#18, sum#21] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(29) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] - -(30) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum(cr_return_quantity#15)#22] -Results [2]: [i_item_id#18 AS item_id#23, sum(cr_return_quantity#15)#22 AS cr_item_qty#24] - -(31) BroadcastExchange -Input [2]: [item_id#23, cr_item_qty#24] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(32) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#23] +(24) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returned_date_sk#13] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(33) Project [codegen id : 12] -Output [3]: [item_id#12, sr_item_qty#13, cr_item_qty#24] -Input [4]: [item_id#12, sr_item_qty#13, item_id#23, cr_item_qty#24] - -(34) Scan parquet spark_catalog.default.web_returns -Output [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] +(25) Project [codegen id : 6] +Output [2]: [cr_return_quantity#12, i_item_id#15] +Input [4]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#15, d_date_sk#16] + +(26) HashAggregate [codegen id : 6] +Input [2]: [cr_return_quantity#12, i_item_id#15] +Keys [1]: [i_item_id#15] +Functions [1]: [partial_sum(cr_return_quantity#12)] +Aggregate Attributes [1]: [sum#17] +Results [2]: [i_item_id#15, sum#18] + +(27) CometColumnarExchange +Input [2]: [i_item_id#15, sum#18] +Arguments: hashpartitioning(i_item_id#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(28) CometHashAggregate +Input [2]: [i_item_id#15, sum#18] +Keys [1]: [i_item_id#15] +Functions [1]: [sum(cr_return_quantity#12)] + +(29) CometBroadcastExchange +Input [2]: [item_id#19, cr_item_qty#20] +Arguments: [item_id#19, cr_item_qty#20] + +(30) CometBroadcastHashJoin +Left output [2]: [item_id#21, sr_item_qty#22] +Right output [2]: [item_id#19, cr_item_qty#20] +Arguments: [item_id#21], [item_id#19], Inner, BuildRight + +(31) CometProject +Input [4]: [item_id#21, sr_item_qty#22, item_id#19, cr_item_qty#20] +Arguments: [item_id#21, sr_item_qty#22, cr_item_qty#20], [item_id#21, sr_item_qty#22, cr_item_qty#20] + +(32) Scan parquet spark_catalog.default.web_returns +Output [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#27), dynamicpruningexpression(wr_returned_date_sk#27 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(wr_returned_date_sk#25), dynamicpruningexpression(wr_returned_date_sk#25 IN dynamicpruning#4)] PushedFilters: [IsNotNull(wr_item_sk)] ReadSchema: struct -(35) ColumnarToRow [codegen id : 10] -Input [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] +(33) ColumnarToRow [codegen id : 9] +Input [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] -(36) Filter [codegen id : 10] -Input [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] -Condition : isnotnull(wr_item_sk#25) +(34) Filter [codegen id : 9] +Input [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] +Condition : isnotnull(wr_item_sk#23) -(37) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#28, i_item_id#29] +(35) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#26, i_item_id#27] -(38) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_item_sk#25] -Right keys [1]: [i_item_sk#28] +(36) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_item_sk#23] +Right keys [1]: [i_item_sk#26] Join type: Inner Join condition: None -(39) Project [codegen id : 10] -Output [3]: [wr_return_quantity#26, wr_returned_date_sk#27, i_item_id#29] -Input [5]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27, i_item_sk#28, i_item_id#29] +(37) Project [codegen id : 9] +Output [3]: [wr_return_quantity#24, wr_returned_date_sk#25, i_item_id#27] +Input [5]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25, i_item_sk#26, i_item_id#27] -(40) ReusedExchange [Reuses operator id: 64] -Output [1]: [d_date_sk#30] +(38) ReusedExchange [Reuses operator id: 62] +Output [1]: [d_date_sk#28] -(41) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_returned_date_sk#27] -Right keys [1]: [d_date_sk#30] +(39) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_returned_date_sk#25] +Right keys [1]: [d_date_sk#28] Join type: Inner Join condition: None -(42) Project [codegen id : 10] -Output [2]: [wr_return_quantity#26, i_item_id#29] -Input [4]: [wr_return_quantity#26, wr_returned_date_sk#27, i_item_id#29, d_date_sk#30] - -(43) HashAggregate [codegen id : 10] -Input [2]: [wr_return_quantity#26, i_item_id#29] -Keys [1]: [i_item_id#29] -Functions [1]: [partial_sum(wr_return_quantity#26)] -Aggregate Attributes [1]: [sum#31] -Results [2]: [i_item_id#29, sum#32] - -(44) CometColumnarExchange -Input [2]: [i_item_id#29, sum#32] -Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(45) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] - -(46) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] -Keys [1]: [i_item_id#29] -Functions [1]: [sum(wr_return_quantity#26)] -Aggregate Attributes [1]: [sum(wr_return_quantity#26)#33] -Results [2]: [i_item_id#29 AS item_id#34, sum(wr_return_quantity#26)#33 AS wr_item_qty#35] - -(47) BroadcastExchange -Input [2]: [item_id#34, wr_item_qty#35] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(48) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#34] -Join type: Inner -Join condition: None +(40) Project [codegen id : 9] +Output [2]: [wr_return_quantity#24, i_item_id#27] +Input [4]: [wr_return_quantity#24, wr_returned_date_sk#25, i_item_id#27, d_date_sk#28] -(49) Project [codegen id : 12] -Output [8]: [item_id#12, sr_item_qty#13, (((cast(sr_item_qty#13 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS sr_dev#36, cr_item_qty#24, (((cast(cr_item_qty#24 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS cr_dev#37, wr_item_qty#35, (((cast(wr_item_qty#35 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS wr_dev#38, (cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as decimal(20,0)) / 3.0) AS average#39] -Input [5]: [item_id#12, sr_item_qty#13, cr_item_qty#24, item_id#34, wr_item_qty#35] +(41) HashAggregate [codegen id : 9] +Input [2]: [wr_return_quantity#24, i_item_id#27] +Keys [1]: [i_item_id#27] +Functions [1]: [partial_sum(wr_return_quantity#24)] +Aggregate Attributes [1]: [sum#29] +Results [2]: [i_item_id#27, sum#30] -(50) TakeOrderedAndProject -Input [8]: [item_id#12, sr_item_qty#13, sr_dev#36, cr_item_qty#24, cr_dev#37, wr_item_qty#35, wr_dev#38, average#39] -Arguments: 100, [item_id#12 ASC NULLS FIRST, sr_item_qty#13 ASC NULLS FIRST], [item_id#12, sr_item_qty#13, sr_dev#36, cr_item_qty#24, cr_dev#37, wr_item_qty#35, wr_dev#38, average#39] +(42) CometColumnarExchange +Input [2]: [i_item_id#27, sum#30] +Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(43) CometHashAggregate +Input [2]: [i_item_id#27, sum#30] +Keys [1]: [i_item_id#27] +Functions [1]: [sum(wr_return_quantity#24)] -Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (64) -+- * CometColumnarToRow (63) - +- CometProject (62) - +- CometBroadcastHashJoin (61) - :- CometFilter (52) - : +- CometNativeScan parquet spark_catalog.default.date_dim (51) - +- CometBroadcastExchange (60) - +- CometProject (59) - +- CometBroadcastHashJoin (58) - :- CometNativeScan parquet spark_catalog.default.date_dim (53) - +- CometBroadcastExchange (57) - +- CometProject (56) - +- CometFilter (55) - +- CometNativeScan parquet spark_catalog.default.date_dim (54) +(44) CometBroadcastExchange +Input [2]: [item_id#31, wr_item_qty#32] +Arguments: [item_id#31, wr_item_qty#32] +(45) CometBroadcastHashJoin +Left output [3]: [item_id#21, sr_item_qty#22, cr_item_qty#20] +Right output [2]: [item_id#31, wr_item_qty#32] +Arguments: [item_id#21], [item_id#31], Inner, BuildRight -(51) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#40] +(46) CometProject +Input [5]: [item_id#21, sr_item_qty#22, cr_item_qty#20, item_id#31, wr_item_qty#32] +Arguments: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36], [item_id#21, sr_item_qty#22, (((cast(sr_item_qty#22 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS sr_dev#33, cr_item_qty#20, (((cast(cr_item_qty#20 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS cr_dev#34, wr_item_qty#32, (((cast(wr_item_qty#32 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS wr_dev#35, (cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as decimal(20,0)) / 3.0) AS average#36] + +(47) CometTakeOrderedAndProject +Input [8]: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#21 ASC NULLS FIRST,sr_item_qty#22 ASC NULLS FIRST], output=[item_id#21,sr_item_qty#22,sr_dev#33,cr_item_qty#20,cr_dev#34,wr_item_qty#32,wr_dev#35,average#36]), [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36], 100, 0, [item_id#21 ASC NULLS FIRST, sr_item_qty#22 ASC NULLS FIRST], [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] + +(48) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (62) ++- * CometColumnarToRow (61) + +- CometProject (60) + +- CometBroadcastHashJoin (59) + :- CometFilter (50) + : +- CometNativeScan parquet spark_catalog.default.date_dim (49) + +- CometBroadcastExchange (58) + +- CometProject (57) + +- CometBroadcastHashJoin (56) + :- CometNativeScan parquet spark_catalog.default.date_dim (51) + +- CometBroadcastExchange (55) + +- CometProject (54) + +- CometFilter (53) + +- CometNativeScan parquet spark_catalog.default.date_dim (52) + + +(49) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#37] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(52) CometFilter -Input [2]: [d_date_sk#8, d_date#40] +(50) CometFilter +Input [2]: [d_date_sk#8, d_date#37] Condition : isnotnull(d_date_sk#8) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#43, d_week_seq#44] +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#40, d_week_seq#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date#43, d_week_seq#44] -Condition : cast(d_date#43 as string) IN (2000-06-30,2000-09-27,2000-11-17) +(53) CometFilter +Input [2]: [d_date#40, d_week_seq#41] +Condition : cast(d_date#40 as string) IN (2000-06-30,2000-09-27,2000-11-17) -(56) CometProject -Input [2]: [d_date#43, d_week_seq#44] -Arguments: [d_week_seq#44], [d_week_seq#44] +(54) CometProject +Input [2]: [d_date#40, d_week_seq#41] +Arguments: [d_week_seq#41], [d_week_seq#41] -(57) CometBroadcastExchange -Input [1]: [d_week_seq#44] -Arguments: [d_week_seq#44] +(55) CometBroadcastExchange +Input [1]: [d_week_seq#41] +Arguments: [d_week_seq#41] -(58) CometBroadcastHashJoin -Left output [2]: [d_date#41, d_week_seq#42] -Right output [1]: [d_week_seq#44] -Arguments: [d_week_seq#42], [d_week_seq#44], LeftSemi, BuildRight +(56) CometBroadcastHashJoin +Left output [2]: [d_date#38, d_week_seq#39] +Right output [1]: [d_week_seq#41] +Arguments: [d_week_seq#39], [d_week_seq#41], LeftSemi, BuildRight -(59) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(57) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(60) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(58) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(61) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#40] -Right output [1]: [d_date#41] -Arguments: [d_date#40], [d_date#41], LeftSemi, BuildRight +(59) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#37] +Right output [1]: [d_date#38] +Arguments: [d_date#37], [d_date#38], LeftSemi, BuildRight -(62) CometProject -Input [2]: [d_date_sk#8, d_date#40] +(60) CometProject +Input [2]: [d_date_sk#8, d_date#37] Arguments: [d_date_sk#8], [d_date_sk#8] -(63) CometColumnarToRow [codegen id : 1] +(61) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(64) BroadcastExchange +(62) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#16 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 17 Hosting Expression = cr_returned_date_sk#13 IN dynamicpruning#4 -Subquery:3 Hosting operator id = 34 Hosting Expression = wr_returned_date_sk#27 IN dynamicpruning#4 +Subquery:3 Hosting operator id = 32 Hosting Expression = wr_returned_date_sk#25 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/extended.txt index 1cb87c7eb1..66f18ef7ea 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/extended.txt @@ -1,88 +1,86 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -113,4 +111,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 60 out of 101 eligible operators (59%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 70 out of 101 eligible operators (69%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/simplified.txt index 0673c590f5..728dd68dd8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q83.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] - WholeStageCodegen (12) - Project [item_id,sr_item_qty,cr_item_qty,wr_item_qty] - BroadcastHashJoin [item_id,item_id] - Project [item_id,sr_item_qty,cr_item_qty] - BroadcastHashJoin [item_id,item_id] - HashAggregate [i_item_id,sum] [sum(sr_return_quantity),item_id,sr_item_qty,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometBroadcastHashJoin [item_id,sr_item_qty,cr_item_qty,item_id,wr_item_qty] + CometProject [item_id,sr_item_qty,cr_item_qty] + CometBroadcastHashJoin [item_id,sr_item_qty,item_id,cr_item_qty] + CometHashAggregate [sum] [item_id,sr_item_qty,i_item_id,sum(sr_return_quantity)] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,sr_return_quantity] [sum,sum] @@ -45,47 +45,39 @@ TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [i_item_id,sum] [sum(cr_return_quantity),item_id,cr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (6) - HashAggregate [i_item_id,cr_return_quantity] [sum,sum] - Project [cr_return_quantity,i_item_id] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cr_return_quantity,cr_returned_date_sk,i_item_id] - BroadcastHashJoin [cr_item_sk,i_item_sk] - Filter [cr_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [i_item_id,sum] [sum(wr_return_quantity),item_id,wr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #9 - WholeStageCodegen (10) - HashAggregate [i_item_id,wr_return_quantity] [sum,sum] - Project [wr_return_quantity,i_item_id] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Project [wr_return_quantity,wr_returned_date_sk,i_item_id] - BroadcastHashJoin [wr_item_sk,i_item_sk] - Filter [wr_item_sk] + CometBroadcastExchange [item_id,cr_item_qty] #6 + CometHashAggregate [sum] [item_id,cr_item_qty,i_item_id,sum(cr_return_quantity)] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (6) + HashAggregate [i_item_id,cr_return_quantity] [sum,sum] + Project [cr_return_quantity,i_item_id] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cr_return_quantity,cr_returned_date_sk,i_item_id] + BroadcastHashJoin [cr_item_sk,i_item_sk] + Filter [cr_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] + Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 InputAdapter ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [item_id,wr_item_qty] #8 + CometHashAggregate [sum] [item_id,wr_item_qty,i_item_id,sum(wr_return_quantity)] + CometColumnarExchange [i_item_id] #9 + WholeStageCodegen (9) + HashAggregate [i_item_id,wr_return_quantity] [sum,sum] + Project [wr_return_quantity,i_item_id] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Project [wr_return_quantity,wr_returned_date_sk,i_item_id] + BroadcastHashJoin [wr_item_sk,i_item_sk] + Filter [wr_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + InputAdapter + ReusedExchange [d_date_sk] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/explain.txt index 204cd4ea7a..3ff5850faa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (52) -+- * HashAggregate (51) - +- * CometColumnarToRow (50) +* CometColumnarToRow (52) ++- CometTakeOrderedAndProject (51) + +- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -280,19 +280,17 @@ Results [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, coun Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Arguments: hashpartitioning(r_reason_desc#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(50) CometColumnarToRow [codegen id : 9] -Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] - -(51) HashAggregate [codegen id : 9] +(50) CometHashAggregate Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Keys [1]: [r_reason_desc#36] Functions [3]: [avg(ws_quantity#4), avg(UnscaledValue(wr_refunded_cash#16)), avg(UnscaledValue(wr_fee#15))] -Aggregate Attributes [3]: [avg(ws_quantity#4)#49, avg(UnscaledValue(wr_refunded_cash#16))#50, avg(UnscaledValue(wr_fee#15))#51] -Results [4]: [substr(r_reason_desc#36, 1, 20) AS substr(r_reason_desc, 1, 20)#52, avg(ws_quantity#4)#49 AS avg(ws_quantity)#53, cast((avg(UnscaledValue(wr_refunded_cash#16))#50 / 100.0) as decimal(11,6)) AS avg(wr_refunded_cash)#54, cast((avg(UnscaledValue(wr_fee#15))#51 / 100.0) as decimal(11,6)) AS avg(wr_fee)#55] -(52) TakeOrderedAndProject -Input [4]: [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] -Arguments: 100, [substr(r_reason_desc, 1, 20)#52 ASC NULLS FIRST, avg(ws_quantity)#53 ASC NULLS FIRST, avg(wr_refunded_cash)#54 ASC NULLS FIRST, avg(wr_fee)#55 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] +(51) CometTakeOrderedAndProject +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST,avg(ws_quantity)#50 ASC NULLS FIRST,avg(wr_refunded_cash)#51 ASC NULLS FIRST,avg(wr_fee)#52 ASC NULLS FIRST], output=[substr(r_reason_desc, 1, 20)#49,avg(ws_quantity)#50,avg(wr_refunded_cash)#51,avg(wr_fee)#52]), [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52], 100, 0, [substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST, avg(ws_quantity)#50 ASC NULLS FIRST, avg(wr_refunded_cash)#51 ASC NULLS FIRST, avg(wr_fee)#52 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] + +(52) CometColumnarToRow [codegen id : 9] +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] ===== Subqueries ===== @@ -305,18 +303,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#33, d_year#56] +Output [2]: [d_date_sk#33, d_year#53] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [2]: [d_date_sk#33, d_year#56] -Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2000)) AND isnotnull(d_date_sk#33)) +Input [2]: [d_date_sk#33, d_year#53] +Condition : ((isnotnull(d_year#53) AND (d_year#53 = 2000)) AND isnotnull(d_date_sk#33)) (55) CometProject -Input [2]: [d_date_sk#33, d_year#56] +Input [2]: [d_date_sk#33, d_year#53] Arguments: [d_date_sk#33], [d_date_sk#33] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/extended.txt index 7f8b90a86c..48f7ff9477 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -61,4 +61,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.reason -Comet accelerated 24 out of 52 eligible operators (46%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 26 out of 52 eligible operators (50%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/simplified.txt index 68d46e608d..67f1e8c2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q85.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] - WholeStageCodegen (9) - HashAggregate [r_reason_desc,sum,count,sum,count,sum,count] [avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee)),substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] + CometHashAggregate [sum,count,sum,count,sum,count] [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),r_reason_desc,avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee))] CometColumnarExchange [r_reason_desc] #1 WholeStageCodegen (8) HashAggregate [r_reason_desc,ws_quantity,wr_refunded_cash,wr_fee] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/explain.txt index 3f745e99c5..1dad009b41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/explain.txt @@ -1,28 +1,27 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * Project (23) - +- Window (22) - +- * CometColumnarToRow (21) - +- CometSort (20) - +- CometColumnarExchange (19) - +- * HashAggregate (18) - +- * CometColumnarToRow (17) - +- CometColumnarExchange (16) - +- * HashAggregate (15) - +- * Expand (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (11) - +- * CometColumnarToRow (10) - +- CometProject (9) - +- CometFilter (8) - +- CometNativeScan parquet spark_catalog.default.item (7) +TakeOrderedAndProject (23) ++- * Project (22) + +- Window (21) + +- * CometColumnarToRow (20) + +- CometSort (19) + +- CometExchange (18) + +- CometHashAggregate (17) + +- CometColumnarExchange (16) + +- * HashAggregate (15) + +- * Expand (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (11) + +- * CometColumnarToRow (10) + +- CometProject (9) + +- CometFilter (8) + +- CometNativeScan parquet spark_catalog.default.item (7) (1) Scan parquet spark_catalog.default.web_sales @@ -40,7 +39,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 29] +(4) ReusedExchange [Reuses operator id: 28] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -100,68 +99,63 @@ Results [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Arguments: hashpartitioning(i_category#11, i_class#12, spark_grouping_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Keys [3]: [i_category#11, i_class#12, spark_grouping_id#13] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#16] -Results [7]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS total_sum#17, i_category#11, i_class#12, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS lochierarchy#18, MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS _w0#19, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS _w1#20, CASE WHEN (cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint) = 0) THEN i_category#11 END AS _w2#21] -(19) CometColumnarExchange -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: hashpartitioning(_w1#20, _w2#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: hashpartitioning(_w1#19, _w2#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21], [_w1#20 ASC NULLS FIRST, _w2#21 ASC NULLS FIRST, _w0#19 DESC NULLS LAST] +(19) CometSort +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20], [_w1#19 ASC NULLS FIRST, _w2#20 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] -(21) CometColumnarToRow [codegen id : 5] -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] +(20) CometColumnarToRow [codegen id : 4] +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] -(22) Window -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [rank(_w0#19) windowspecdefinition(_w1#20, _w2#21, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#22], [_w1#20, _w2#21], [_w0#19 DESC NULLS LAST] +(21) Window +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [rank(_w0#18) windowspecdefinition(_w1#19, _w2#20, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#21], [_w1#19, _w2#20], [_w0#18 DESC NULLS LAST] -(23) Project [codegen id : 6] -Output [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Input [8]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21, rank_within_parent#22] +(22) Project [codegen id : 5] +Output [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Input [8]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20, rank_within_parent#21] -(24) TakeOrderedAndProject -Input [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Arguments: 100, [lochierarchy#18 DESC NULLS LAST, CASE WHEN (lochierarchy#18 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#22 ASC NULLS FIRST], [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] +(23) TakeOrderedAndProject +Input [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Arguments: 100, [lochierarchy#17 DESC NULLS LAST, CASE WHEN (lochierarchy#17 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#21 ASC NULLS FIRST], [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (29) -+- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.date_dim (25) +BroadcastExchange (28) ++- * CometColumnarToRow (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.date_dim (24) -(25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#23] +(24) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#23] -Condition : (((isnotnull(d_month_seq#23) AND (d_month_seq#23 >= 1200)) AND (d_month_seq#23 <= 1211)) AND isnotnull(d_date_sk#5)) +(25) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#22] +Condition : (((isnotnull(d_month_seq#22) AND (d_month_seq#22 >= 1200)) AND (d_month_seq#22 <= 1211)) AND isnotnull(d_date_sk#5)) -(27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#23] +(26) CometProject +Input [2]: [d_date_sk#5, d_month_seq#22] Arguments: [d_date_sk#5], [d_date_sk#5] -(28) CometColumnarToRow [codegen id : 1] +(27) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(29) BroadcastExchange +(28) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/extended.txt index 41081debd9..159a2b1c71 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/extended.txt @@ -3,34 +3,33 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/simplified.txt index 0b24fe234a..0805c3bdab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q86.native_datafusion/simplified.txt @@ -1,44 +1,41 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] - Expand [ws_net_paid,i_category,i_class] - Project [ws_net_paid,i_category,i_class] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ws_net_paid)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] + Expand [ws_net_paid,i_category,i_class] + Project [ws_net_paid,i_category,i_class] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/explain.txt index b3086b072a..9d0d97f41a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (52) -+- * CometColumnarToRow (51) +* CometColumnarToRow (52) ++- CometHashAggregate (51) +- CometColumnarExchange (50) +- * HashAggregate (49) +- * Project (48) @@ -287,15 +287,13 @@ Results [1]: [count#26] Input [1]: [count#26] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(51) CometColumnarToRow [codegen id : 13] -Input [1]: [count#26] - -(52) HashAggregate [codegen id : 13] +(51) CometHashAggregate Input [1]: [count#26] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#27] -Results [1]: [count(1)#27 AS count(1)#28] + +(52) CometColumnarToRow [codegen id : 13] +Input [1]: [count(1)#27] ===== Subqueries ===== @@ -308,18 +306,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Output [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] -Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1200)) AND (d_month_seq#29 <= 1211)) AND isnotnull(d_date_sk#4)) +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#4)) (55) CometProject -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Arguments: [d_date_sk#4, d_date#5], [d_date_sk#4, d_date#5] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/extended.txt index 638b8865e0..9b20e869dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -79,4 +79,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 28 out of 66 eligible operators (42%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 29 out of 66 eligible operators (43%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/simplified.txt index afc302e779..48bc403f08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (13) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (12) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/explain.txt index fc6b12b834..15e66dceb7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87.native_iceberg_compat/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/explain.txt index fc6b12b834..15e66dceb7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q87/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/explain.txt index 56583c6d26..7be79c0f50 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [6]: [i_brand#5, i_class#6, i_category#7, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] Input [8]: [i_item_sk#1, i_brand#5, i_class#6, i_category#7, ss_item_sk#8, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#13, d_moy#14] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_nam Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Arguments: hashpartitioning(i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Keys [6]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14] Functions [1]: [sum(UnscaledValue(ss_sales_price#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#10))#20] -Results [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] -(27) Window -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] +(26) Window +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] -(28) Filter [codegen id : 7] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN NOT (avg_monthly_sales#23 = 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END +(27) Filter [codegen id : 6] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN NOT (avg_monthly_sales#22 = 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END -(29) Project [codegen id : 7] -Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [(sum_sales#21 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [(sum_sales#20 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#24, d_moy#14] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#23, d_moy#14] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 1999)) AND isnotnull(d_date_sk#13)) +(31) CometFilter +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 1999)) AND isnotnull(d_date_sk#13)) -(33) CometProject -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] +(32) CometProject +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] Arguments: [d_date_sk#13, d_moy#14], [d_date_sk#13, d_moy#14] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#13, d_moy#14] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#13, d_moy#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/simplified.txt index f87ef33db4..1adaffbfe8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q89.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_class,i_brand,s_company_name,d_moy] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] - CometFilter [i_item_sk,i_brand,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] + CometFilter [i_item_sk,i_brand,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/explain.txt index b52840adb9..d9c7cc1c93 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * HashAggregate (44) - +- * CometColumnarToRow (43) - +- CometColumnarExchange (42) - +- * HashAggregate (41) - +- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (19) - : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (10) - : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : :- * CometColumnarToRow (4) - : : : : : : +- CometProject (3) - : : : : : : +- CometFilter (2) - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) - : : : : : +- BroadcastExchange (8) - : : : : : +- * Filter (7) - : : : : : +- * ColumnarToRow (6) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) - : : : : +- ReusedExchange (11) - : : : +- BroadcastExchange (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.customer (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometProject (22) - : : +- CometFilter (21) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) - : +- BroadcastExchange (31) - : +- * CometColumnarToRow (30) - : +- CometProject (29) - : +- CometFilter (28) - : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) - +- BroadcastExchange (38) - +- * CometColumnarToRow (37) - +- CometProject (36) - +- CometFilter (35) - +- CometNativeScan parquet spark_catalog.default.household_demographics (34) +* CometColumnarToRow (46) ++- CometSort (45) + +- CometExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (33) + : +- * BroadcastHashJoin Inner BuildRight (32) + : :- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (19) + : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (10) + : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : :- * CometColumnarToRow (4) + : : : : : : +- CometProject (3) + : : : : : : +- CometFilter (2) + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) + : : : : : +- BroadcastExchange (8) + : : : : : +- * Filter (7) + : : : : : +- * ColumnarToRow (6) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) + : : : : +- ReusedExchange (11) + : : : +- BroadcastExchange (17) + : : : +- * CometColumnarToRow (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.customer (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometProject (22) + : : +- CometFilter (21) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) + : +- BroadcastExchange (31) + : +- * CometColumnarToRow (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) + +- BroadcastExchange (38) + +- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.household_demographics (34) (1) CometNativeScan parquet spark_catalog.default.call_center @@ -95,7 +94,7 @@ Join condition: None Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, cr_returned_date_sk#9] Input [8]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9] -(11) ReusedExchange [Reuses operator id: 52] +(11) ReusedExchange [Reuses operator id: 51] Output [1]: [d_date_sk#11] (12) BroadcastHashJoin [codegen id : 7] @@ -243,56 +242,51 @@ Results [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21 Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Arguments: hashpartitioning(cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22] Functions [1]: [sum(UnscaledValue(cr_net_loss#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_net_loss#8))#27] -Results [4]: [cc_call_center_id#5 AS Call_Center#28, cc_name#3 AS Call_Center_Name#29, cc_manager#4 AS Manager#30, MakeDecimal(sum(UnscaledValue(cr_net_loss#8))#27,17,2) AS Returns_Loss#31] -(45) CometColumnarExchange -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: rangepartitioning(Returns_Loss#31 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(44) CometExchange +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: rangepartitioning(Returns_Loss#30 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(46) CometSort -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31], [Returns_Loss#31 DESC NULLS LAST] +(45) CometSort +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30], [Returns_Loss#30 DESC NULLS LAST] -(47) CometColumnarToRow [codegen id : 9] -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] +(46) CometColumnarToRow [codegen id : 8] +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cr_returned_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (51) ++- * CometColumnarToRow (50) + +- CometProject (49) + +- CometFilter (48) + +- CometNativeScan parquet spark_catalog.default.date_dim (47) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#32, d_moy#33] +(47) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#31, d_moy#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] -Condition : ((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 1998)) AND (d_moy#33 = 11)) AND isnotnull(d_date_sk#11)) +(48) CometFilter +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] +Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 1998)) AND (d_moy#32 = 11)) AND isnotnull(d_date_sk#11)) -(50) CometProject -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] +(49) CometProject +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] Arguments: [d_date_sk#11], [d_date_sk#11] -(51) CometColumnarToRow [codegen id : 1] +(50) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(52) BroadcastExchange +(51) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/extended.txt index 7499c5aafc..f3a14c24b4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/extended.txt @@ -1,59 +1,58 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_demographics + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 47 eligible operators (51%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/simplified.txt index 75fea0ec7f..4cb033c8b5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q91.native_datafusion/simplified.txt @@ -1,77 +1,74 @@ -WholeStageCodegen (9) +WholeStageCodegen (8) CometColumnarToRow InputAdapter CometSort [Call_Center,Call_Center_Name,Manager,Returns_Loss] - CometColumnarExchange [Returns_Loss] #1 - WholeStageCodegen (8) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,sum] [sum(UnscaledValue(cr_net_loss)),Call_Center,Call_Center_Name,Manager,Returns_Loss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 - WholeStageCodegen (7) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] - BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] - CometColumnarToRow - InputAdapter - CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cr_call_center_sk,cr_returning_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) + CometExchange [Returns_Loss] #1 + CometHashAggregate [cd_marital_status,cd_education_status,sum] [Call_Center,Call_Center_Name,Manager,Returns_Loss,cc_call_center_id,cc_name,cc_manager,sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 + WholeStageCodegen (7) + HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] + BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] CometColumnarToRow InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] - CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] - CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] + CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cr_call_center_sk,cr_returning_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] + CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] + CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/explain.txt index d96384bc72..ce4031b5cd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,67 +118,63 @@ Results [3]: [ws_item_sk#7, sum#13, count#14] Input [3]: [ws_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(ws_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [ws_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [ws_item_sk#7, sum#13, count#14] Keys [1]: [ws_item_sk#7] Functions [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(ws_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] +Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [ws_item_sk#7] Join type: Inner -Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#16) +Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [ws_ext_discount_amt#2, ws_sold_date_sk#3] -Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] -Output [1]: [d_date_sk#17] +Output [1]: [d_date_sk#16] (26) BroadcastHashJoin [codegen id : 6] Left keys [1]: [ws_sold_date_sk#3] -Right keys [1]: [d_date_sk#17] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None (27) Project [codegen id : 6] Output [1]: [ws_ext_discount_amt#2] -Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#17] +Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#16] (28) HashAggregate [codegen id : 6] Input [1]: [ws_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#18] -Results [1]: [sum#19] +Aggregate Attributes [1]: [sum#17] +Results [1]: [sum#18] (29) CometColumnarExchange -Input [1]: [sum#19] +Input [1]: [sum#18] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#19] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#19] +(30) CometHashAggregate +Input [1]: [sum#18] Keys: [] Functions [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))#20] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_ext_discount_amt#2))#20,17,2) AS Excess Discount Amount #21] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [Excess Discount Amount #19] ===== Subqueries ===== @@ -191,25 +187,25 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_date#22] +Output [2]: [d_date_sk#16, d_date#20] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#17, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 2000-01-27)) AND (d_date#22 <= 2000-04-26)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#16, d_date#20] +Condition : (((isnotnull(d_date#20) AND (d_date#20 >= 2000-01-27)) AND (d_date#20 <= 2000-04-26)) AND isnotnull(d_date_sk#16)) (34) CometProject -Input [2]: [d_date_sk#17, d_date#22] -Arguments: [d_date_sk#17], [d_date_sk#17] +Input [2]: [d_date_sk#16, d_date#20] +Arguments: [d_date_sk#16], [d_date_sk#16] (35) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] (36) BroadcastExchange -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] Subquery:2 Hosting operator id = 11 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/extended.txt index 2d15266049..10ab7bfa25 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/simplified.txt index 17df728966..c09fd62763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q92.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(ws_ext_discount_amt)),Excess Discount Amount ,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [Excess Discount Amount ,sum(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ws_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(ws_ext_discount_amt))] - HashAggregate [ws_item_sk,sum,count] [avg(UnscaledValue(ws_ext_discount_amt)),(1.3 * avg(ws_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk,avg(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange [ws_item_sk] #5 WholeStageCodegen (3) HashAggregate [ws_item_sk,ws_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/explain.txt index 8263680b2b..d37215dbe7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/explain.txt @@ -1,30 +1,29 @@ == Physical Plan == -* CometColumnarToRow (26) -+- CometProject (25) - +- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (25) ++- CometProject (24) + +- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -74,7 +73,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 31] +(11) ReusedExchange [Reuses operator id: 30] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -98,79 +97,74 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] -(26) CometColumnarToRow [codegen id : 7] -Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(25) CometColumnarToRow [codegen id : 6] +Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (31) -+- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.date_dim (27) +BroadcastExchange (30) ++- * CometColumnarToRow (29) + +- CometProject (28) + +- CometFilter (27) + +- CometNativeScan parquet spark_catalog.default.date_dim (26) -(27) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(26) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(28) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(27) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(29) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(28) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(30) CometColumnarToRow [codegen id : 1] +(29) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(31) BroadcastExchange +(30) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/extended.txt index 030031856f..65efb17afb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/extended.txt @@ -6,33 +6,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 29 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 29 eligible operators (55%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/simplified.txt index 3f64b57ffa..b4427ba56f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark3_5/q98.native_datafusion/simplified.txt @@ -1,48 +1,45 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometProject [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio,i_item_id] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/explain.txt index d1964eee2a..d913553a73 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/explain.txt @@ -1,48 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * Project (43) - +- * BroadcastHashJoin Inner BuildRight (42) - :- * Project (36) - : +- * BroadcastHashJoin Inner BuildRight (35) - : :- * Project (29) - : : +- * BroadcastHashJoin Inner BuildRight (28) - : : :- * Filter (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (27) - : : +- * Filter (26) - : : +- * HashAggregate (25) - : : +- * CometColumnarToRow (24) - : : +- CometColumnarExchange (23) - : : +- * HashAggregate (22) - : : +- * HashAggregate (21) - : : +- * CometColumnarToRow (20) - : : +- CometColumnarExchange (19) - : : +- * HashAggregate (18) - : : +- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.store_returns (12) - : : +- ReusedExchange (15) - : +- BroadcastExchange (34) - : +- * CometColumnarToRow (33) - : +- CometProject (32) - : +- CometFilter (31) - : +- CometNativeScan parquet spark_catalog.default.store (30) - +- BroadcastExchange (41) - +- * CometColumnarToRow (40) - +- CometProject (39) - +- CometFilter (38) - +- CometNativeScan parquet spark_catalog.default.customer (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometProject (38) + +- CometBroadcastHashJoin (37) + :- CometProject (32) + : +- CometBroadcastHashJoin (31) + : :- CometProject (26) + : : +- CometBroadcastHashJoin (25) + : : :- CometFilter (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- ReusedExchange (4) + : : +- CometBroadcastExchange (24) + : : +- CometFilter (23) + : : +- CometHashAggregate (22) + : : +- CometExchange (21) + : : +- CometHashAggregate (20) + : : +- CometHashAggregate (19) + : : +- CometColumnarExchange (18) + : : +- * HashAggregate (17) + : : +- * Project (16) + : : +- * BroadcastHashJoin Inner BuildRight (15) + : : :- * Filter (13) + : : : +- * ColumnarToRow (12) + : : : +- Scan parquet spark_catalog.default.store_returns (11) + : : +- ReusedExchange (14) + : +- CometBroadcastExchange (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.store (27) + +- CometBroadcastExchange (36) + +- CometProject (35) + +- CometFilter (34) + +- CometNativeScan parquet spark_catalog.default.customer (33) (1) Scan parquet spark_catalog.default.store_returns @@ -60,7 +56,7 @@ Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_s Input [4]: [sr_customer_sk#1, sr_store_sk#2, sr_return_amt#3, sr_returned_date_sk#4] Condition : (isnotnull(sr_store_sk#2) AND isnotnull(sr_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 49] +(4) ReusedExchange [Reuses operator id: 45] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 2] @@ -84,208 +80,185 @@ Results [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Arguments: hashpartitioning(sr_customer_sk#1, sr_store_sk#2, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 9] -Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] - -(10) HashAggregate [codegen id : 9] +(9) CometHashAggregate Input [3]: [sr_customer_sk#1, sr_store_sk#2, sum#8] Keys [2]: [sr_customer_sk#1, sr_store_sk#2] Functions [1]: [sum(UnscaledValue(sr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#3))#9] -Results [3]: [sr_customer_sk#1 AS ctr_customer_sk#10, sr_store_sk#2 AS ctr_store_sk#11, MakeDecimal(sum(UnscaledValue(sr_return_amt#3))#9,17,2) AS ctr_total_return#12] -(11) Filter [codegen id : 9] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12] -Condition : isnotnull(ctr_total_return#12) +(10) CometFilter +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Condition : isnotnull(ctr_total_return#11) -(12) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] +(11) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#16), dynamicpruningexpression(sr_returned_date_sk#16 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(13) ColumnarToRow [codegen id : 4] -Input [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] +(12) ColumnarToRow [codegen id : 4] +Input [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] -(14) Filter [codegen id : 4] -Input [4]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16] -Condition : isnotnull(sr_store_sk#14) +(13) Filter [codegen id : 4] +Input [4]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#13) -(15) ReusedExchange [Reuses operator id: 49] -Output [1]: [d_date_sk#17] +(14) ReusedExchange [Reuses operator id: 45] +Output [1]: [d_date_sk#16] -(16) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [sr_returned_date_sk#16] -Right keys [1]: [d_date_sk#17] +(15) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(17) Project [codegen id : 4] -Output [3]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15] -Input [5]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15, sr_returned_date_sk#16, d_date_sk#17] - -(18) HashAggregate [codegen id : 4] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sr_return_amt#15] -Keys [2]: [sr_customer_sk#13, sr_store_sk#14] -Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#15))] -Aggregate Attributes [1]: [sum#18] -Results [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] - -(19) CometColumnarExchange -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] -Arguments: hashpartitioning(sr_customer_sk#13, sr_store_sk#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] - -(20) CometColumnarToRow [codegen id : 5] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] - -(21) HashAggregate [codegen id : 5] -Input [3]: [sr_customer_sk#13, sr_store_sk#14, sum#19] -Keys [2]: [sr_customer_sk#13, sr_store_sk#14] -Functions [1]: [sum(UnscaledValue(sr_return_amt#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(sr_return_amt#15))#9] -Results [2]: [sr_store_sk#14 AS ctr_store_sk#20, MakeDecimal(sum(UnscaledValue(sr_return_amt#15))#9,17,2) AS ctr_total_return#21] - -(22) HashAggregate [codegen id : 5] -Input [2]: [ctr_store_sk#20, ctr_total_return#21] -Keys [1]: [ctr_store_sk#20] -Functions [1]: [partial_avg(ctr_total_return#21)] -Aggregate Attributes [2]: [sum#22, count#23] -Results [3]: [ctr_store_sk#20, sum#24, count#25] - -(23) CometColumnarExchange -Input [3]: [ctr_store_sk#20, sum#24, count#25] -Arguments: hashpartitioning(ctr_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(24) CometColumnarToRow [codegen id : 6] -Input [3]: [ctr_store_sk#20, sum#24, count#25] - -(25) HashAggregate [codegen id : 6] -Input [3]: [ctr_store_sk#20, sum#24, count#25] -Keys [1]: [ctr_store_sk#20] -Functions [1]: [avg(ctr_total_return#21)] -Aggregate Attributes [1]: [avg(ctr_total_return#21)#26] -Results [2]: [(avg(ctr_total_return#21)#26 * 1.2) AS (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] - -(26) Filter [codegen id : 6] -Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#27) - -(27) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=4] - -(28) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [ctr_store_sk#20] -Join type: Inner -Join condition: (cast(ctr_total_return#12 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#27) - -(29) Project [codegen id : 9] -Output [2]: [ctr_customer_sk#10, ctr_store_sk#11] -Input [5]: [ctr_customer_sk#10, ctr_store_sk#11, ctr_total_return#12, (avg(ctr_total_return) * 1.2)#27, ctr_store_sk#20] - -(30) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#28, s_state#29] +(16) Project [codegen id : 4] +Output [3]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14] +Input [5]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14, sr_returned_date_sk#15, d_date_sk#16] + +(17) HashAggregate [codegen id : 4] +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sr_return_amt#14] +Keys [2]: [sr_customer_sk#12, sr_store_sk#13] +Functions [1]: [partial_sum(UnscaledValue(sr_return_amt#14))] +Aggregate Attributes [1]: [sum#17] +Results [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] + +(18) CometColumnarExchange +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] +Arguments: hashpartitioning(sr_customer_sk#12, sr_store_sk#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] + +(19) CometHashAggregate +Input [3]: [sr_customer_sk#12, sr_store_sk#13, sum#18] +Keys [2]: [sr_customer_sk#12, sr_store_sk#13] +Functions [1]: [sum(UnscaledValue(sr_return_amt#14))] + +(20) CometHashAggregate +Input [2]: [ctr_store_sk#19, ctr_total_return#20] +Keys [1]: [ctr_store_sk#19] +Functions [1]: [partial_avg(ctr_total_return#20)] + +(21) CometExchange +Input [3]: [ctr_store_sk#19, sum#21, count#22] +Arguments: hashpartitioning(ctr_store_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(22) CometHashAggregate +Input [3]: [ctr_store_sk#19, sum#21, count#22] +Keys [1]: [ctr_store_sk#19] +Functions [1]: [avg(ctr_total_return#20)] + +(23) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#23) + +(24) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] + +(25) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11] +Right output [2]: [(avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [ctr_store_sk#10], [ctr_store_sk#19], Inner, (cast(ctr_total_return#11 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#23), BuildRight + +(26) CometProject +Input [5]: [ctr_customer_sk#9, ctr_store_sk#10, ctr_total_return#11, (avg(ctr_total_return) * 1.2)#23, ctr_store_sk#19] +Arguments: [ctr_customer_sk#9, ctr_store_sk#10], [ctr_customer_sk#9, ctr_store_sk#10] + +(27) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#24, s_state#25] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_state), IsNotNull(s_store_sk)] ReadSchema: struct -(31) CometFilter -Input [2]: [s_store_sk#28, s_state#29] -Condition : ((isnotnull(s_state#29) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#29, 2)) = TN)) AND isnotnull(s_store_sk#28)) - -(32) CometProject -Input [2]: [s_store_sk#28, s_state#29] -Arguments: [s_store_sk#28], [s_store_sk#28] +(28) CometFilter +Input [2]: [s_store_sk#24, s_state#25] +Condition : ((isnotnull(s_state#25) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#25, 2)) = TN)) AND isnotnull(s_store_sk#24)) -(33) CometColumnarToRow [codegen id : 7] -Input [1]: [s_store_sk#28] +(29) CometProject +Input [2]: [s_store_sk#24, s_state#25] +Arguments: [s_store_sk#24], [s_store_sk#24] -(34) BroadcastExchange -Input [1]: [s_store_sk#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(30) CometBroadcastExchange +Input [1]: [s_store_sk#24] +Arguments: [s_store_sk#24] -(35) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_store_sk#11] -Right keys [1]: [s_store_sk#28] -Join type: Inner -Join condition: None +(31) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#9, ctr_store_sk#10] +Right output [1]: [s_store_sk#24] +Arguments: [ctr_store_sk#10], [s_store_sk#24], Inner, BuildRight -(36) Project [codegen id : 9] -Output [1]: [ctr_customer_sk#10] -Input [3]: [ctr_customer_sk#10, ctr_store_sk#11, s_store_sk#28] +(32) CometProject +Input [3]: [ctr_customer_sk#9, ctr_store_sk#10, s_store_sk#24] +Arguments: [ctr_customer_sk#9], [ctr_customer_sk#9] -(37) CometNativeScan parquet spark_catalog.default.customer -Output [2]: [c_customer_sk#30, c_customer_id#31] +(33) CometNativeScan parquet spark_catalog.default.customer +Output [2]: [c_customer_sk#26, c_customer_id#27] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(38) CometFilter -Input [2]: [c_customer_sk#30, c_customer_id#31] -Condition : isnotnull(c_customer_sk#30) +(34) CometFilter +Input [2]: [c_customer_sk#26, c_customer_id#27] +Condition : isnotnull(c_customer_sk#26) -(39) CometProject -Input [2]: [c_customer_sk#30, c_customer_id#31] -Arguments: [c_customer_sk#30, c_customer_id#32], [c_customer_sk#30, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#31, 16)) AS c_customer_id#32] +(35) CometProject +Input [2]: [c_customer_sk#26, c_customer_id#27] +Arguments: [c_customer_sk#26, c_customer_id#28], [c_customer_sk#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#27, 16)) AS c_customer_id#28] -(40) CometColumnarToRow [codegen id : 8] -Input [2]: [c_customer_sk#30, c_customer_id#32] +(36) CometBroadcastExchange +Input [2]: [c_customer_sk#26, c_customer_id#28] +Arguments: [c_customer_sk#26, c_customer_id#28] -(41) BroadcastExchange -Input [2]: [c_customer_sk#30, c_customer_id#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(37) CometBroadcastHashJoin +Left output [1]: [ctr_customer_sk#9] +Right output [2]: [c_customer_sk#26, c_customer_id#28] +Arguments: [ctr_customer_sk#9], [c_customer_sk#26], Inner, BuildRight -(42) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ctr_customer_sk#10] -Right keys [1]: [c_customer_sk#30] -Join type: Inner -Join condition: None +(38) CometProject +Input [3]: [ctr_customer_sk#9, c_customer_sk#26, c_customer_id#28] +Arguments: [c_customer_id#28], [c_customer_id#28] -(43) Project [codegen id : 9] -Output [1]: [c_customer_id#32] -Input [3]: [ctr_customer_sk#10, c_customer_sk#30, c_customer_id#32] +(39) CometTakeOrderedAndProject +Input [1]: [c_customer_id#28] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#28 ASC NULLS FIRST], output=[c_customer_id#28]), [c_customer_id#28], 100, 0, [c_customer_id#28 ASC NULLS FIRST], [c_customer_id#28] -(44) TakeOrderedAndProject -Input [1]: [c_customer_id#32] -Arguments: 100, [c_customer_id#32 ASC NULLS FIRST], [c_customer_id#32] +(40) CometColumnarToRow [codegen id : 5] +Input [1]: [c_customer_id#28] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (49) -+- * CometColumnarToRow (48) - +- CometProject (47) - +- CometFilter (46) - +- CometNativeScan parquet spark_catalog.default.date_dim (45) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(45) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#33] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(46) CometFilter -Input [2]: [d_date_sk#6, d_year#33] -Condition : ((isnotnull(d_year#33) AND (d_year#33 = 2000)) AND isnotnull(d_date_sk#6)) +(42) CometFilter +Input [2]: [d_date_sk#6, d_year#29] +Condition : ((isnotnull(d_year#29) AND (d_year#29 = 2000)) AND isnotnull(d_date_sk#6)) -(47) CometProject -Input [2]: [d_date_sk#6, d_year#33] +(43) CometProject +Input [2]: [d_date_sk#6, d_year#29] Arguments: [d_date_sk#6], [d_date_sk#6] -(48) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(49) BroadcastExchange +(45) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 12 Hosting Expression = sr_returned_date_sk#16 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 11 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/extended.txt index 0622aad9d5..8c1fba02de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/extended.txt @@ -1,61 +1,57 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 49 eligible operators (36%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 49 eligible operators (69%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/simplified.txt index ed85c142aa..5bcab8f27a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q1.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id] - WholeStageCodegen (9) - Project [c_customer_id] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk] - BroadcastHashJoin [ctr_store_sk,s_store_sk] - Project [ctr_customer_sk,ctr_store_sk] - BroadcastHashJoin [ctr_store_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_customer_sk,ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id] + CometProject [c_customer_id] + CometBroadcastHashJoin [ctr_customer_sk,c_customer_sk,c_customer_id] + CometProject [ctr_customer_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,s_store_sk] + CometProject [ctr_customer_sk,ctr_store_sk] + CometBroadcastHashJoin [ctr_customer_sk,ctr_store_sk,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometFilter [ctr_customer_sk,ctr_store_sk,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_store_sk,ctr_total_return,sr_customer_sk,sr_store_sk,sum(UnscaledValue(sr_return_amt))] CometColumnarExchange [sr_customer_sk,sr_store_sk] #1 WholeStageCodegen (2) HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] @@ -29,44 +29,29 @@ TakeOrderedAndProject [c_customer_id] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (6) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_store_sk,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_store_sk] #4 - WholeStageCodegen (5) - HashAggregate [ctr_store_sk,ctr_total_return] [sum,count,sum,count] - HashAggregate [sr_customer_sk,sr_store_sk,sum] [sum(UnscaledValue(sr_return_amt)),ctr_store_sk,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 - WholeStageCodegen (4) - HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] - Project [sr_customer_sk,sr_store_sk,sr_return_amt] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id] [c_customer_sk,c_customer_id] - CometFilter [c_customer_sk,c_customer_id] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_store_sk] #3 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_store_sk] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_store_sk,avg(ctr_total_return)] + CometExchange [ctr_store_sk] #4 + CometHashAggregate [ctr_total_return] [ctr_store_sk,sum,count] + CometHashAggregate [sr_customer_sk,sum] [ctr_store_sk,ctr_total_return,sr_store_sk,sum(UnscaledValue(sr_return_amt))] + CometColumnarExchange [sr_customer_sk,sr_store_sk] #5 + WholeStageCodegen (4) + HashAggregate [sr_customer_sk,sr_store_sk,sr_return_amt] [sum,sum] + Project [sr_customer_sk,sr_store_sk,sr_return_amt] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_customer_sk,sr_store_sk,sr_return_amt,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [s_store_sk] #6 + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometBroadcastExchange [c_customer_sk,c_customer_id] #7 + CometProject [c_customer_id] [c_customer_sk,c_customer_id] + CometFilter [c_customer_sk,c_customer_id] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/explain.txt index 2c4b495826..f9dc7c2130 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_pur Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Arguments: hashpartitioning(cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Keys [8]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#33] -Results [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, count(1)#33 AS cnt1#34, cd_purchase_estimate#22, count(1)#33 AS cnt2#35, cd_credit_rating#30, count(1)#33 AS cnt3#36, cd_dep_count#24, count(1)#33 AS cnt4#37, cd_dep_employed_count#25, count(1)#33 AS cnt5#38, cd_dep_college_count#26, count(1)#33 AS cnt6#39] -(45) TakeOrderedAndProject -Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] -Arguments: 100, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] +(44) CometTakeOrderedAndProject +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_education_status#29 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#30 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[cd_gender#27,cd_marital_status#28,cd_education_status#29,cnt1#33,cd_purchase_estimate#22,cnt2#34,cd_credit_rating#30,cnt3#35,cd_dep_count#24,cnt4#36,cd_dep_employed_count#25,cnt5#37,cd_dep_college_count#26,cnt6#38]), [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38], 100, 0, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] + +(45) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#40, d_moy#41] +Output [3]: [d_date_sk#9, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,1), LessThanOrEqual(d_moy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#40, d_moy#41] -Condition : (((((isnotnull(d_year#40) AND isnotnull(d_moy#41)) AND (d_year#40 = 2002)) AND (d_moy#41 >= 1)) AND (d_moy#41 <= 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#39, d_moy#40] +Condition : (((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 2002)) AND (d_moy#40 >= 1)) AND (d_moy#40 <= 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#40, d_moy#41] +Input [3]: [d_date_sk#9, d_year#39, d_moy#40] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/simplified.txt index 0cc108b0b0..1ccf12847e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/explain.txt index e253b8ca7b..078bf2c526 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_pur Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Arguments: hashpartitioning(cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Keys [8]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#37] -Results [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, count(1)#37 AS cnt1#38, cd_purchase_estimate#26, count(1)#37 AS cnt2#39, cd_credit_rating#34, count(1)#37 AS cnt3#40, cd_dep_count#28, count(1)#37 AS cnt4#41, cd_dep_employed_count#29, count(1)#37 AS cnt5#42, cd_dep_college_count#30, count(1)#37 AS cnt6#43] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] -Arguments: 100, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#31 ASC NULLS FIRST,cd_marital_status#32 ASC NULLS FIRST,cd_education_status#33 ASC NULLS FIRST,cd_purchase_estimate#26 ASC NULLS FIRST,cd_credit_rating#34 ASC NULLS FIRST,cd_dep_count#28 ASC NULLS FIRST,cd_dep_employed_count#29 ASC NULLS FIRST,cd_dep_college_count#30 ASC NULLS FIRST], output=[cd_gender#31,cd_marital_status#32,cd_education_status#33,cnt1#37,cd_purchase_estimate#26,cnt2#38,cd_credit_rating#34,cnt3#39,cd_dep_count#28,cnt4#40,cd_dep_employed_count#29,cnt5#41,cd_dep_college_count#30,cnt6#42]), [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42], 100, 0, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/explain.txt index e253b8ca7b..078bf2c526 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_pur Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Arguments: hashpartitioning(cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [9]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30, count#36] Keys [8]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cd_purchase_estimate#26, cd_credit_rating#34, cd_dep_count#28, cd_dep_employed_count#29, cd_dep_college_count#30] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#37] -Results [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, count(1)#37 AS cnt1#38, cd_purchase_estimate#26, count(1)#37 AS cnt2#39, cd_credit_rating#34, count(1)#37 AS cnt3#40, cd_dep_count#28, count(1)#37 AS cnt4#41, cd_dep_employed_count#29, count(1)#37 AS cnt5#42, cd_dep_college_count#30, count(1)#37 AS cnt6#43] -(47) TakeOrderedAndProject -Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] -Arguments: 100, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#38, cd_purchase_estimate#26, cnt2#39, cd_credit_rating#34, cnt3#40, cd_dep_count#28, cnt4#41, cd_dep_employed_count#29, cnt5#42, cd_dep_college_count#30, cnt6#43] +(46) CometTakeOrderedAndProject +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#31 ASC NULLS FIRST,cd_marital_status#32 ASC NULLS FIRST,cd_education_status#33 ASC NULLS FIRST,cd_purchase_estimate#26 ASC NULLS FIRST,cd_credit_rating#34 ASC NULLS FIRST,cd_dep_count#28 ASC NULLS FIRST,cd_dep_employed_count#29 ASC NULLS FIRST,cd_dep_college_count#30 ASC NULLS FIRST], output=[cd_gender#31,cd_marital_status#32,cd_education_status#33,cnt1#37,cd_purchase_estimate#26,cnt2#38,cd_credit_rating#34,cnt3#39,cd_dep_count#28,cnt4#40,cd_dep_employed_count#29,cnt5#41,cd_dep_college_count#30,cnt6#42]), [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42], 100, 0, [cd_gender#31 ASC NULLS FIRST, cd_marital_status#32 ASC NULLS FIRST, cd_education_status#33 ASC NULLS FIRST, cd_purchase_estimate#26 ASC NULLS FIRST, cd_credit_rating#34 ASC NULLS FIRST, cd_dep_count#28 ASC NULLS FIRST, cd_dep_employed_count#29 ASC NULLS FIRST, cd_dep_college_count#30 ASC NULLS FIRST], [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] + +(47) CometColumnarToRow [codegen id : 6] +Input [14]: [cd_gender#31, cd_marital_status#32, cd_education_status#33, cnt1#37, cd_purchase_estimate#26, cnt2#38, cd_credit_rating#34, cnt3#39, cd_dep_count#28, cnt4#40, cd_dep_employed_count#29, cnt5#41, cd_dep_college_count#30, cnt6#42] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/simplified.txt index e7193f87e1..f522871601 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q10/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/explain.txt index 0b7aa0c883..041a352034 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/explain.txt @@ -1,84 +1,81 @@ == Physical Plan == -TakeOrderedAndProject (80) -+- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (59) - : +- * BroadcastHashJoin Inner BuildRight (58) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (57) - : +- * Filter (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (48) - : : +- * BroadcastHashJoin Inner BuildRight (47) - : : :- * CometColumnarToRow (42) - : : : +- CometProject (41) - : : : +- CometFilter (40) - : : : +- CometNativeScan parquet spark_catalog.default.customer (39) - : : +- BroadcastExchange (46) - : : +- * Filter (45) - : : +- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.web_sales (43) - : +- ReusedExchange (49) - +- BroadcastExchange (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * CometColumnarToRow (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.customer (60) - : +- BroadcastExchange (67) - : +- * Filter (66) - : +- * ColumnarToRow (65) - : +- Scan parquet spark_catalog.default.web_sales (64) - +- ReusedExchange (70) +* CometColumnarToRow (77) ++- CometTakeOrderedAndProject (76) + +- CometProject (75) + +- CometBroadcastHashJoin (74) + :- CometProject (56) + : +- CometBroadcastHashJoin (55) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (54) + : +- CometFilter (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * CometColumnarToRow (40) + : : : +- CometProject (39) + : : : +- CometFilter (38) + : : : +- CometNativeScan parquet spark_catalog.default.customer (37) + : : +- BroadcastExchange (44) + : : +- * Filter (43) + : : +- * ColumnarToRow (42) + : : +- Scan parquet spark_catalog.default.web_sales (41) + : +- ReusedExchange (47) + +- CometBroadcastExchange (73) + +- CometHashAggregate (72) + +- CometColumnarExchange (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- * Project (66) + : +- * BroadcastHashJoin Inner BuildRight (65) + : :- * CometColumnarToRow (60) + : : +- CometProject (59) + : : +- CometFilter (58) + : : +- CometNativeScan parquet spark_catalog.default.customer (57) + : +- BroadcastExchange (64) + : +- * Filter (63) + : +- * ColumnarToRow (62) + : +- Scan parquet spark_catalog.default.web_sales (61) + +- ReusedExchange (67) (1) CometNativeScan parquet spark_catalog.default.customer @@ -128,7 +125,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 84] +(11) ReusedExchange [Reuses operator id: 81] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -152,367 +149,347 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#28, 16)))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#27, 16)))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40], [c_customer_sk#27, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#28, 16)) AS c_customer_id#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#29, 20)) AS c_first_name#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#30, 30)) AS c_last_name#37, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#31, 1)) AS c_preferred_cust_flag#38, c_birth_country#32, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#33, 13)) AS c_login#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#34, 50)) AS c_email_address#40] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39], [c_customer_sk#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#27, 16)) AS c_customer_id#34, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#28, 20)) AS c_first_name#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#29, 30)) AS c_last_name#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#30, 1)) AS c_preferred_cust_flag#37, c_birth_country#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#32, 13)) AS c_login#38, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#33, 50)) AS c_email_address#39] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#44), dynamicpruningexpression(ss_sold_date_sk#44 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ss_sold_date_sk#43), dynamicpruningexpression(ss_sold_date_sk#43 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Condition : isnotnull(ss_customer_sk#41) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Condition : isnotnull(ss_customer_sk#40) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#41] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#40] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Input [12]: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] - -(29) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#46, d_year#47] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Input [12]: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#44] -Right keys [1]: [d_date_sk#46] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#45, d_year#46] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, d_year#47] -Input [12]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44, d_date_sk#46, d_year#47] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, d_year#47] -Keys [8]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))] -Aggregate Attributes [1]: [sum#48] -Results [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] -Arguments: hashpartitioning(c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] -Keys [8]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))#24] -Results [3]: [c_customer_id#35 AS customer_id#50, c_preferred_cust_flag#38 AS customer_preferred_cust_flag#51, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))#24,18,2) AS year_total#52] - -(36) BroadcastExchange -Input [3]: [customer_id#50, customer_preferred_cust_flag#51, year_total#52] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#50] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#43] +Right keys [1]: [d_date_sk#45] Join type: Inner Join condition: None -(38) Project [codegen id : 16] -Output [4]: [customer_id#25, year_total#26, customer_preferred_cust_flag#51, year_total#52] -Input [5]: [customer_id#25, year_total#26, customer_id#50, customer_preferred_cust_flag#51, year_total#52] - -(39) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#58, c_login#59, c_email_address#60] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, d_year#46] +Input [12]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43, d_date_sk#45, d_year#46] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, d_year#46] +Keys [8]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#42 - ss_ext_discount_amt#41)))] +Aggregate Attributes [1]: [sum#47] +Results [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] +Arguments: hashpartitioning(c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] +Keys [8]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#42 - ss_ext_discount_amt#41)))] + +(34) CometBroadcastExchange +Input [3]: [customer_id#49, customer_preferred_cust_flag#50, year_total#51] +Arguments: [customer_id#49, customer_preferred_cust_flag#50, year_total#51] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [3]: [customer_id#49, customer_preferred_cust_flag#50, year_total#51] +Arguments: [customer_id#24], [customer_id#49], Inner, BuildRight + +(36) CometProject +Input [5]: [customer_id#24, year_total#25, customer_id#49, customer_preferred_cust_flag#50, year_total#51] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51], [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55, c_preferred_cust_flag#56, c_birth_country#57, c_login#58, c_email_address#59] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(40) CometFilter -Input [8]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#58, c_login#59, c_email_address#60] -Condition : (isnotnull(c_customer_sk#53) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)))) +(38) CometFilter +Input [8]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55, c_preferred_cust_flag#56, c_birth_country#57, c_login#58, c_email_address#59] +Condition : (isnotnull(c_customer_sk#52) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#53, 16)))) -(41) CometProject -Input [8]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56, c_preferred_cust_flag#57, c_birth_country#58, c_login#59, c_email_address#60] -Arguments: [c_customer_sk#53, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66], [c_customer_sk#53, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)) AS c_customer_id#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#55, 20)) AS c_first_name#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#56, 30)) AS c_last_name#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#57, 1)) AS c_preferred_cust_flag#64, c_birth_country#58, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#59, 13)) AS c_login#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#60, 50)) AS c_email_address#66] +(39) CometProject +Input [8]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55, c_preferred_cust_flag#56, c_birth_country#57, c_login#58, c_email_address#59] +Arguments: [c_customer_sk#52, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65], [c_customer_sk#52, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#53, 16)) AS c_customer_id#60, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#54, 20)) AS c_first_name#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#55, 30)) AS c_last_name#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#56, 1)) AS c_preferred_cust_flag#63, c_birth_country#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#58, 13)) AS c_login#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#59, 50)) AS c_email_address#65] -(42) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#53, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66] +(40) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#52, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65] -(43) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#67, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] +(41) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#66, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#70), dynamicpruningexpression(ws_sold_date_sk#70 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#67, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] +(42) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#66, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] -(45) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#67, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] -Condition : isnotnull(ws_bill_customer_sk#67) +(43) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#66, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_bill_customer_sk#66) -(46) BroadcastExchange -Input [4]: [ws_bill_customer_sk#67, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(44) BroadcastExchange +Input [4]: [ws_bill_customer_sk#66, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(47) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#53] -Right keys [1]: [ws_bill_customer_sk#67] +(45) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#52] +Right keys [1]: [ws_bill_customer_sk#66] Join type: Inner Join condition: None -(48) Project [codegen id : 10] -Output [10]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] -Input [12]: [c_customer_sk#53, c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, ws_bill_customer_sk#67, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70] +(46) Project [codegen id : 9] +Output [10]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] +Input [12]: [c_customer_sk#52, c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, ws_bill_customer_sk#66, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69] -(49) ReusedExchange [Reuses operator id: 84] -Output [2]: [d_date_sk#71, d_year#72] +(47) ReusedExchange [Reuses operator id: 81] +Output [2]: [d_date_sk#70, d_year#71] -(50) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#70] -Right keys [1]: [d_date_sk#71] +(48) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#69] +Right keys [1]: [d_date_sk#70] Join type: Inner Join condition: None -(51) Project [codegen id : 10] -Output [10]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, ws_ext_discount_amt#68, ws_ext_list_price#69, d_year#72] -Input [12]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, ws_ext_discount_amt#68, ws_ext_list_price#69, ws_sold_date_sk#70, d_date_sk#71, d_year#72] - -(52) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, ws_ext_discount_amt#68, ws_ext_list_price#69, d_year#72] -Keys [8]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#69 - ws_ext_discount_amt#68)))] -Aggregate Attributes [1]: [sum#73] -Results [9]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72, sum#74] - -(53) CometColumnarExchange -Input [9]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72, sum#74] -Arguments: hashpartitioning(c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(54) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72, sum#74] - -(55) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72, sum#74] -Keys [8]: [c_customer_id#61, c_first_name#62, c_last_name#63, c_preferred_cust_flag#64, c_birth_country#58, c_login#65, c_email_address#66, d_year#72] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#69 - ws_ext_discount_amt#68)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#69 - ws_ext_discount_amt#68)))#75] -Results [2]: [c_customer_id#61 AS customer_id#76, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#69 - ws_ext_discount_amt#68)))#75,18,2) AS year_total#77] - -(56) Filter [codegen id : 11] -Input [2]: [customer_id#76, year_total#77] -Condition : (isnotnull(year_total#77) AND (year_total#77 > 0.00)) - -(57) BroadcastExchange -Input [2]: [customer_id#76, year_total#77] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(58) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#76] -Join type: Inner -Join condition: None - -(59) Project [codegen id : 16] -Output [5]: [customer_id#25, year_total#26, customer_preferred_cust_flag#51, year_total#52, year_total#77] -Input [6]: [customer_id#25, year_total#26, customer_preferred_cust_flag#51, year_total#52, customer_id#76, year_total#77] - -(60) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] +(49) Project [codegen id : 9] +Output [10]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, ws_ext_discount_amt#67, ws_ext_list_price#68, d_year#71] +Input [12]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, ws_ext_discount_amt#67, ws_ext_list_price#68, ws_sold_date_sk#69, d_date_sk#70, d_year#71] + +(50) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, ws_ext_discount_amt#67, ws_ext_list_price#68, d_year#71] +Keys [8]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#68 - ws_ext_discount_amt#67)))] +Aggregate Attributes [1]: [sum#72] +Results [9]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71, sum#73] + +(51) CometColumnarExchange +Input [9]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71, sum#73] +Arguments: hashpartitioning(c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [9]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71, sum#73] +Keys [8]: [c_customer_id#60, c_first_name#61, c_last_name#62, c_preferred_cust_flag#63, c_birth_country#57, c_login#64, c_email_address#65, d_year#71] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#68 - ws_ext_discount_amt#67)))] + +(53) CometFilter +Input [2]: [customer_id#74, year_total#75] +Condition : (isnotnull(year_total#75) AND (year_total#75 > 0.00)) + +(54) CometBroadcastExchange +Input [2]: [customer_id#74, year_total#75] +Arguments: [customer_id#74, year_total#75] + +(55) CometBroadcastHashJoin +Left output [4]: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51] +Right output [2]: [customer_id#74, year_total#75] +Arguments: [customer_id#24], [customer_id#74], Inner, BuildRight + +(56) CometProject +Input [6]: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51, customer_id#74, year_total#75] +Arguments: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51, year_total#75], [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51, year_total#75] + +(57) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#76, c_customer_id#77, c_first_name#78, c_last_name#79, c_preferred_cust_flag#80, c_birth_country#81, c_login#82, c_email_address#83] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(61) CometFilter -Input [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] -Condition : (isnotnull(c_customer_sk#78) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#79, 16)))) +(58) CometFilter +Input [8]: [c_customer_sk#76, c_customer_id#77, c_first_name#78, c_last_name#79, c_preferred_cust_flag#80, c_birth_country#81, c_login#82, c_email_address#83] +Condition : (isnotnull(c_customer_sk#76) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#77, 16)))) -(62) CometProject -Input [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] -Arguments: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91], [c_customer_sk#78, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#79, 16)) AS c_customer_id#86, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#80, 20)) AS c_first_name#87, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#81, 30)) AS c_last_name#88, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#82, 1)) AS c_preferred_cust_flag#89, c_birth_country#83, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#84, 13)) AS c_login#90, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#85, 50)) AS c_email_address#91] +(59) CometProject +Input [8]: [c_customer_sk#76, c_customer_id#77, c_first_name#78, c_last_name#79, c_preferred_cust_flag#80, c_birth_country#81, c_login#82, c_email_address#83] +Arguments: [c_customer_sk#76, c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89], [c_customer_sk#76, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#77, 16)) AS c_customer_id#84, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#78, 20)) AS c_first_name#85, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#79, 30)) AS c_last_name#86, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#80, 1)) AS c_preferred_cust_flag#87, c_birth_country#81, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#82, 13)) AS c_login#88, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#83, 50)) AS c_email_address#89] -(63) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91] +(60) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#76, c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89] -(64) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +(61) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#90, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#95), dynamicpruningexpression(ws_sold_date_sk#95 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ws_sold_date_sk#93), dynamicpruningexpression(ws_sold_date_sk#93 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(65) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +(62) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#90, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] -(66) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] -Condition : isnotnull(ws_bill_customer_sk#92) +(63) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#90, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] +Condition : isnotnull(ws_bill_customer_sk#90) -(67) BroadcastExchange -Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(64) BroadcastExchange +Input [4]: [ws_bill_customer_sk#90, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(68) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#78] -Right keys [1]: [ws_bill_customer_sk#92] +(65) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#76] +Right keys [1]: [ws_bill_customer_sk#90] Join type: Inner Join condition: None -(69) Project [codegen id : 14] -Output [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] -Input [12]: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +(66) Project [codegen id : 12] +Output [10]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] +Input [12]: [c_customer_sk#76, c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, ws_bill_customer_sk#90, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93] -(70) ReusedExchange [Reuses operator id: 88] -Output [2]: [d_date_sk#96, d_year#97] +(67) ReusedExchange [Reuses operator id: 85] +Output [2]: [d_date_sk#94, d_year#95] -(71) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#95] -Right keys [1]: [d_date_sk#96] +(68) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#93] +Right keys [1]: [d_date_sk#94] Join type: Inner Join condition: None -(72) Project [codegen id : 14] -Output [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, d_year#97] -Input [12]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95, d_date_sk#96, d_year#97] - -(73) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, d_year#97] -Keys [8]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))] -Aggregate Attributes [1]: [sum#98] -Results [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] - -(74) CometColumnarExchange -Input [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] -Arguments: hashpartitioning(c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(75) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] - -(76) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] -Keys [8]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))#75] -Results [2]: [c_customer_id#86 AS customer_id#100, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))#75,18,2) AS year_total#101] - -(77) BroadcastExchange -Input [2]: [customer_id#100, year_total#101] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(78) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#100] -Join type: Inner -Join condition: (CASE WHEN (year_total#77 > 0.00) THEN (year_total#101 / year_total#77) END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#52 / year_total#26) END) +(69) Project [codegen id : 12] +Output [10]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, ws_ext_discount_amt#91, ws_ext_list_price#92, d_year#95] +Input [12]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, ws_ext_discount_amt#91, ws_ext_list_price#92, ws_sold_date_sk#93, d_date_sk#94, d_year#95] + +(70) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, ws_ext_discount_amt#91, ws_ext_list_price#92, d_year#95] +Keys [8]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#92 - ws_ext_discount_amt#91)))] +Aggregate Attributes [1]: [sum#96] +Results [9]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95, sum#97] + +(71) CometColumnarExchange +Input [9]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95, sum#97] +Arguments: hashpartitioning(c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(72) CometHashAggregate +Input [9]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95, sum#97] +Keys [8]: [c_customer_id#84, c_first_name#85, c_last_name#86, c_preferred_cust_flag#87, c_birth_country#81, c_login#88, c_email_address#89, d_year#95] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#92 - ws_ext_discount_amt#91)))] -(79) Project [codegen id : 16] -Output [1]: [customer_preferred_cust_flag#51] -Input [7]: [customer_id#25, year_total#26, customer_preferred_cust_flag#51, year_total#52, year_total#77, customer_id#100, year_total#101] +(73) CometBroadcastExchange +Input [2]: [customer_id#98, year_total#99] +Arguments: [customer_id#98, year_total#99] -(80) TakeOrderedAndProject -Input [1]: [customer_preferred_cust_flag#51] -Arguments: 100, [customer_preferred_cust_flag#51 ASC NULLS FIRST], [customer_preferred_cust_flag#51] +(74) CometBroadcastHashJoin +Left output [5]: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51, year_total#75] +Right output [2]: [customer_id#98, year_total#99] +Arguments: [customer_id#24], [customer_id#98], Inner, (CASE WHEN (year_total#75 > 0.00) THEN (year_total#99 / year_total#75) END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#51 / year_total#25) END), BuildRight + +(75) CometProject +Input [7]: [customer_id#24, year_total#25, customer_preferred_cust_flag#50, year_total#51, year_total#75, customer_id#98, year_total#99] +Arguments: [customer_preferred_cust_flag#50], [customer_preferred_cust_flag#50] + +(76) CometTakeOrderedAndProject +Input [1]: [customer_preferred_cust_flag#50] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_preferred_cust_flag#50 ASC NULLS FIRST], output=[customer_preferred_cust_flag#50]), [customer_preferred_cust_flag#50], 100, 0, [customer_preferred_cust_flag#50 ASC NULLS FIRST], [customer_preferred_cust_flag#50] + +(77) CometColumnarToRow [codegen id : 13] +Input [1]: [customer_preferred_cust_flag#50] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (84) -+- * CometColumnarToRow (83) - +- CometFilter (82) - +- CometNativeScan parquet spark_catalog.default.date_dim (81) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(81) CometNativeScan parquet spark_catalog.default.date_dim +(78) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(82) CometFilter +(79) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(83) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(84) BroadcastExchange +(81) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#44 IN dynamicpruning#45 -BroadcastExchange (88) -+- * CometColumnarToRow (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#43 IN dynamicpruning#44 +BroadcastExchange (85) ++- * CometColumnarToRow (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#46, d_year#47] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#45, d_year#46] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [2]: [d_date_sk#46, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2002)) AND isnotnull(d_date_sk#46)) +(83) CometFilter +Input [2]: [d_date_sk#45, d_year#46] +Condition : ((isnotnull(d_year#46) AND (d_year#46 = 2002)) AND isnotnull(d_date_sk#45)) -(87) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#46, d_year#47] +(84) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#45, d_year#46] -(88) BroadcastExchange -Input [2]: [d_date_sk#46, d_year#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(85) BroadcastExchange +Input [2]: [d_date_sk#45, d_year#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 43 Hosting Expression = ws_sold_date_sk#70 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 41 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 64 Hosting Expression = ws_sold_date_sk#95 IN dynamicpruning#45 +Subquery:4 Hosting operator id = 61 Hosting Expression = ws_sold_date_sk#93 IN dynamicpruning#44 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/extended.txt index 0f9f19de77..e7100f59c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/extended.txt @@ -1,88 +1,85 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -103,4 +100,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 44 out of 86 eligible operators (51%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/simplified.txt index 6c9e276c01..2bb2dca259 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q11.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [customer_preferred_cust_flag] - WholeStageCodegen (16) - Project [customer_preferred_cust_flag] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,year_total,customer_preferred_cust_flag,year_total] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_preferred_cust_flag] + CometProject [customer_preferred_cust_flag] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_preferred_cust_flag,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_preferred_cust_flag,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_preferred_cust_flag,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -38,94 +38,82 @@ TakeOrderedAndProject [customer_preferred_cust_flag] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_preferred_cust_flag,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometBroadcastExchange [customer_id,customer_preferred_cust_flag,year_total] #4 + CometHashAggregate [c_first_name,c_last_name,d_year,c_birth_country,c_login,c_email_address,sum] [customer_id,customer_preferred_cust_flag,year_total,c_customer_id,c_preferred_cust_flag,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/explain.txt index 409078c363..3a80b25791 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/simplified.txt index b7b0a89774..df2dd7f3fe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/explain.txt index 613d0cb7b2..54d98eacd4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (36) -+- * CometColumnarToRow (35) +* CometColumnarToRow (36) ++- CometHashAggregate (35) +- CometColumnarExchange (34) +- * HashAggregate (33) +- * Project (32) @@ -196,15 +196,13 @@ Results [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(35) CometColumnarToRow [codegen id : 7] -Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] - -(36) HashAggregate [codegen id : 7] +(35) CometHashAggregate Input [7]: [sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38] Keys: [] Functions [4]: [avg(ss_quantity#5), avg(UnscaledValue(ss_ext_sales_price#7)), avg(UnscaledValue(ss_ext_wholesale_cost#8)), sum(UnscaledValue(ss_ext_wholesale_cost#8))] -Aggregate Attributes [4]: [avg(ss_quantity#5)#39, avg(UnscaledValue(ss_ext_sales_price#7))#40, avg(UnscaledValue(ss_ext_wholesale_cost#8))#41, sum(UnscaledValue(ss_ext_wholesale_cost#8))#42] -Results [4]: [avg(ss_quantity#5)#39 AS avg(ss_quantity)#43, cast((avg(UnscaledValue(ss_ext_sales_price#7))#40 / 100.0) as decimal(11,6)) AS avg(ss_ext_sales_price)#44, cast((avg(UnscaledValue(ss_ext_wholesale_cost#8))#41 / 100.0) as decimal(11,6)) AS avg(ss_ext_wholesale_cost)#45, MakeDecimal(sum(UnscaledValue(ss_ext_wholesale_cost#8))#42,17,2) AS sum(ss_ext_wholesale_cost)#46] + +(36) CometColumnarToRow [codegen id : 7] +Input [4]: [avg(ss_quantity)#39, avg(ss_ext_sales_price)#40, avg(ss_ext_wholesale_cost)#41, sum(ss_ext_wholesale_cost)#42] ===== Subqueries ===== @@ -217,18 +215,18 @@ BroadcastExchange (41) (37) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_year#47] +Output [2]: [d_date_sk#17, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (38) CometFilter -Input [2]: [d_date_sk#17, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2001)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#17, d_year#43] +Condition : ((isnotnull(d_year#43) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#17)) (39) CometProject -Input [2]: [d_date_sk#17, d_year#47] +Input [2]: [d_date_sk#17, d_year#43] Arguments: [d_date_sk#17], [d_date_sk#17] (40) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/extended.txt index 4c0d0b7a33..5a17c12762 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 38 eligible operators (47%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/simplified.txt index a33ae5a161..df20fc4550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q13.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost)),avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),sum,count,sum,count,sum,count,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum] [avg(ss_quantity),avg(ss_ext_sales_price),avg(ss_ext_wholesale_cost),sum(ss_ext_wholesale_cost),avg(ss_quantity),avg(UnscaledValue(ss_ext_sales_price)),avg(UnscaledValue(ss_ext_wholesale_cost)),sum(UnscaledValue(ss_ext_wholesale_cost))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ss_quantity,ss_ext_sales_price,ss_ext_wholesale_cost] [sum,count,sum,count,sum,count,sum,sum,count,sum,count,sum,count,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/explain.txt index f7377ccf8a..b6de7668f1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/explain.txt @@ -1,114 +1,111 @@ == Physical Plan == -TakeOrderedAndProject (110) -+- * HashAggregate (109) - +- * CometColumnarToRow (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- * Expand (105) - +- Union (104) - :- * Project (69) - : +- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - :- * Project (86) - : +- * Filter (85) - : +- * HashAggregate (84) - : +- * CometColumnarToRow (83) - : +- CometColumnarExchange (82) - : +- * HashAggregate (81) - : +- * Project (80) - : +- * BroadcastHashJoin Inner BuildRight (79) - : :- * Project (77) - : : +- * BroadcastHashJoin Inner BuildRight (76) - : : :- * BroadcastHashJoin LeftSemi BuildRight (74) - : : : :- * Filter (72) - : : : : +- * ColumnarToRow (71) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (70) - : : : +- ReusedExchange (73) - : : +- ReusedExchange (75) - : +- ReusedExchange (78) - +- * Project (103) - +- * Filter (102) - +- * HashAggregate (101) - +- * CometColumnarToRow (100) - +- CometColumnarExchange (99) - +- * HashAggregate (98) - +- * Project (97) - +- * BroadcastHashJoin Inner BuildRight (96) - :- * Project (94) - : +- * BroadcastHashJoin Inner BuildRight (93) - : :- * BroadcastHashJoin LeftSemi BuildRight (91) - : : :- * Filter (89) - : : : +- * ColumnarToRow (88) - : : : +- Scan parquet spark_catalog.default.web_sales (87) - : : +- ReusedExchange (90) - : +- ReusedExchange (92) - +- ReusedExchange (95) +* CometColumnarToRow (107) ++- CometTakeOrderedAndProject (106) + +- CometHashAggregate (105) + +- CometExchange (104) + +- CometHashAggregate (103) + +- CometExpand (102) + +- CometUnion (101) + :- CometProject (68) + : +- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + :- CometProject (84) + : +- CometFilter (83) + : +- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Project (76) + : : +- * BroadcastHashJoin Inner BuildRight (75) + : : :- * BroadcastHashJoin LeftSemi BuildRight (73) + : : : :- * Filter (71) + : : : : +- * ColumnarToRow (70) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) + : : : +- ReusedExchange (72) + : : +- ReusedExchange (74) + : +- ReusedExchange (77) + +- CometProject (100) + +- CometFilter (99) + +- CometHashAggregate (98) + +- CometColumnarExchange (97) + +- * HashAggregate (96) + +- * Project (95) + +- * BroadcastHashJoin Inner BuildRight (94) + :- * Project (92) + : +- * BroadcastHashJoin Inner BuildRight (91) + : :- * BroadcastHashJoin LeftSemi BuildRight (89) + : : :- * Filter (87) + : : : +- * ColumnarToRow (86) + : : : +- Scan parquet spark_catalog.default.web_sales (85) + : : +- ReusedExchange (88) + : +- ReusedExchange (90) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -212,7 +209,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 140] +(22) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -249,7 +246,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 140] +(30) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -309,7 +306,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 140] +(43) ReusedExchange [Reuses operator id: 137] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -393,7 +390,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 135] +(61) ReusedExchange [Reuses operator id: 132] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -417,393 +414,375 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#49, count(1)#48 AS number_sales#50] -(68) Filter [codegen id : 26] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] -Condition : (isnotnull(sales#49) AND (cast(sales#49 as decimal(32,6)) > cast(Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) +(67) CometFilter +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Condition : (isnotnull(sales#47) AND (cast(sales#47 as decimal(32,6)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) -(69) Project [codegen id : 26] -Output [6]: [sales#49, number_sales#50, store AS channel#53, i_brand_id#37 AS i_brand_id#54, i_class_id#38 AS i_class_id#55, i_category_id#39 AS i_category_id#56] -Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#49, number_sales#50] +(68) CometProject +Input [5]: [i_brand_id#37, i_class_id#38, i_category_id#39, sales#47, number_sales#48] +Arguments: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54], [sales#47, number_sales#48, store AS channel#51, i_brand_id#37 AS i_brand_id#52, i_class_id#38 AS i_class_id#53, i_category_id#39 AS i_category_id#54] -(70) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(69) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#60), dynamicpruningexpression(cs_sold_date_sk#60 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#58), dynamicpruningexpression(cs_sold_date_sk#58 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] +(70) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] -(72) Filter [codegen id : 51] -Input [4]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60] -Condition : isnotnull(cs_item_sk#57) +(71) Filter [codegen id : 50] +Input [4]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58] +Condition : isnotnull(cs_item_sk#55) -(73) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#61] +(72) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#59] -(74) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] -Right keys [1]: [ss_item_sk#61] +(73) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] +Right keys [1]: [ss_item_sk#59] Join type: LeftSemi Join condition: None -(75) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#62, i_brand_id#63, i_class_id#64, i_category_id#65] +(74) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] -(76) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#57] -Right keys [1]: [i_item_sk#62] +(75) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#55] +Right keys [1]: [i_item_sk#60] Join type: Inner Join condition: None -(77) Project [codegen id : 51] -Output [6]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [8]: [cs_item_sk#57, cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_item_sk#62, i_brand_id#63, i_class_id#64, i_category_id#65] +(76) Project [codegen id : 50] +Output [6]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#61, i_class_id#62, i_category_id#63] +Input [8]: [cs_item_sk#55, cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] -(78) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#66] +(77) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#64] -(79) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#60] -Right keys [1]: [d_date_sk#66] +(78) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#58] +Right keys [1]: [d_date_sk#64] Join type: Inner Join condition: None -(80) Project [codegen id : 51] -Output [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [7]: [cs_quantity#58, cs_list_price#59, cs_sold_date_sk#60, i_brand_id#63, i_class_id#64, i_category_id#65, d_date_sk#66] - -(81) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#58, cs_list_price#59, i_brand_id#63, i_class_id#64, i_category_id#65] -Keys [3]: [i_brand_id#63, i_class_id#64, i_category_id#65] -Functions [2]: [partial_sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), partial_count(1)] -Aggregate Attributes [3]: [sum#67, isEmpty#68, count#69] -Results [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] - -(82) CometColumnarExchange -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] -Arguments: hashpartitioning(i_brand_id#63, i_class_id#64, i_category_id#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(83) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] - -(84) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum#70, isEmpty#71, count#72] -Keys [3]: [i_brand_id#63, i_class_id#64, i_category_id#65] -Functions [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#73, count(1)#74] -Results [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sum((cast(cs_quantity#58 as decimal(10,0)) * cs_list_price#59))#73 AS sales#75, count(1)#74 AS number_sales#76] - -(85) Filter [codegen id : 52] -Input [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sales#75, number_sales#76] -Condition : (isnotnull(sales#75) AND (cast(sales#75 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(86) Project [codegen id : 52] -Output [6]: [sales#75, number_sales#76, catalog AS channel#77, i_brand_id#63, i_class_id#64, i_category_id#65] -Input [5]: [i_brand_id#63, i_class_id#64, i_category_id#65, sales#75, number_sales#76] - -(87) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] +(79) Project [codegen id : 50] +Output [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#61, i_class_id#62, i_category_id#63] +Input [7]: [cs_quantity#56, cs_list_price#57, cs_sold_date_sk#58, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] + +(80) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#56, cs_list_price#57, i_brand_id#61, i_class_id#62, i_category_id#63] +Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] +Functions [2]: [partial_sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), partial_count(1)] +Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] +Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] + +(81) CometColumnarExchange +Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] +Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(82) CometHashAggregate +Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] +Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] +Functions [2]: [sum((cast(cs_quantity#56 as decimal(10,0)) * cs_list_price#57)), count(1)] + +(83) CometFilter +Input [5]: [i_brand_id#61, i_class_id#62, i_category_id#63, sales#71, number_sales#72] +Condition : (isnotnull(sales#71) AND (cast(sales#71 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(84) CometProject +Input [5]: [i_brand_id#61, i_class_id#62, i_category_id#63, sales#71, number_sales#72] +Arguments: [sales#71, number_sales#72, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63], [sales#71, number_sales#72, catalog AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63] + +(85) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#81), dynamicpruningexpression(ws_sold_date_sk#81 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#77), dynamicpruningexpression(ws_sold_date_sk#77 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(88) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] +(86) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] -(89) Filter [codegen id : 77] -Input [4]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81] -Condition : isnotnull(ws_item_sk#78) +(87) Filter [codegen id : 75] +Input [4]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77] +Condition : isnotnull(ws_item_sk#74) -(90) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#82] +(88) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#78] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#78] -Right keys [1]: [ss_item_sk#82] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#74] +Right keys [1]: [ss_item_sk#78] Join type: LeftSemi Join condition: None -(92) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#83, i_brand_id#84, i_class_id#85, i_category_id#86] +(90) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82] -(93) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#78] -Right keys [1]: [i_item_sk#83] +(91) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#74] +Right keys [1]: [i_item_sk#79] Join type: Inner Join condition: None -(94) Project [codegen id : 77] -Output [6]: [ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [8]: [ws_item_sk#78, ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_item_sk#83, i_brand_id#84, i_class_id#85, i_category_id#86] +(92) Project [codegen id : 75] +Output [6]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82] +Input [8]: [ws_item_sk#74, ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_item_sk#79, i_brand_id#80, i_class_id#81, i_category_id#82] -(95) ReusedExchange [Reuses operator id: 135] -Output [1]: [d_date_sk#87] +(93) ReusedExchange [Reuses operator id: 132] +Output [1]: [d_date_sk#83] -(96) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#81] -Right keys [1]: [d_date_sk#87] +(94) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#77] +Right keys [1]: [d_date_sk#83] Join type: Inner Join condition: None -(97) Project [codegen id : 77] -Output [5]: [ws_quantity#79, ws_list_price#80, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [7]: [ws_quantity#79, ws_list_price#80, ws_sold_date_sk#81, i_brand_id#84, i_class_id#85, i_category_id#86, d_date_sk#87] - -(98) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#79, ws_list_price#80, i_brand_id#84, i_class_id#85, i_category_id#86] -Keys [3]: [i_brand_id#84, i_class_id#85, i_category_id#86] -Functions [2]: [partial_sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80)), partial_count(1)] -Aggregate Attributes [3]: [sum#88, isEmpty#89, count#90] -Results [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] - -(99) CometColumnarExchange -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] -Arguments: hashpartitioning(i_brand_id#84, i_class_id#85, i_category_id#86, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(100) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] - -(101) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum#91, isEmpty#92, count#93] -Keys [3]: [i_brand_id#84, i_class_id#85, i_category_id#86] -Functions [2]: [sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80))#94, count(1)#95] -Results [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sum((cast(ws_quantity#79 as decimal(10,0)) * ws_list_price#80))#94 AS sales#96, count(1)#95 AS number_sales#97] - -(102) Filter [codegen id : 78] -Input [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sales#96, number_sales#97] -Condition : (isnotnull(sales#96) AND (cast(sales#96 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#51, [id=#52] as decimal(32,6)))) - -(103) Project [codegen id : 78] -Output [6]: [sales#96, number_sales#97, web AS channel#98, i_brand_id#84, i_class_id#85, i_category_id#86] -Input [5]: [i_brand_id#84, i_class_id#85, i_category_id#86, sales#96, number_sales#97] - -(104) Union - -(105) Expand [codegen id : 79] -Input [6]: [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56] -Arguments: [[sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, i_category_id#56, 0], [sales#49, number_sales#50, channel#53, i_brand_id#54, i_class_id#55, null, 1], [sales#49, number_sales#50, channel#53, i_brand_id#54, null, null, 3], [sales#49, number_sales#50, channel#53, null, null, null, 7], [sales#49, number_sales#50, null, null, null, null, 15]], [sales#49, number_sales#50, channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] - -(106) HashAggregate [codegen id : 79] -Input [7]: [sales#49, number_sales#50, channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Keys [5]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Functions [2]: [partial_sum(sales#49), partial_sum(number_sales#50)] -Aggregate Attributes [3]: [sum#104, isEmpty#105, sum#106] -Results [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] - -(107) CometColumnarExchange -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] -Arguments: hashpartitioning(channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(108) CometColumnarToRow [codegen id : 80] -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] - -(109) HashAggregate [codegen id : 80] -Input [8]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103, sum#107, isEmpty#108, sum#109] -Keys [5]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, spark_grouping_id#103] -Functions [2]: [sum(sales#49), sum(number_sales#50)] -Aggregate Attributes [2]: [sum(sales#49)#110, sum(number_sales#50)#111] -Results [6]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales#49)#110 AS sum(sales)#112, sum(number_sales#50)#111 AS sum(number_sales)#113] - -(110) TakeOrderedAndProject -Input [6]: [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales)#112, sum(number_sales)#113] -Arguments: 100, [channel#99 ASC NULLS FIRST, i_brand_id#100 ASC NULLS FIRST, i_class_id#101 ASC NULLS FIRST, i_category_id#102 ASC NULLS FIRST], [channel#99, i_brand_id#100, i_class_id#101, i_category_id#102, sum(sales)#112, sum(number_sales)#113] +(95) Project [codegen id : 75] +Output [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82] +Input [7]: [ws_quantity#75, ws_list_price#76, ws_sold_date_sk#77, i_brand_id#80, i_class_id#81, i_category_id#82, d_date_sk#83] + +(96) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#75, ws_list_price#76, i_brand_id#80, i_class_id#81, i_category_id#82] +Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82] +Functions [2]: [partial_sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), partial_count(1)] +Aggregate Attributes [3]: [sum#84, isEmpty#85, count#86] +Results [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] + +(97) CometColumnarExchange +Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] +Arguments: hashpartitioning(i_brand_id#80, i_class_id#81, i_category_id#82, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(98) CometHashAggregate +Input [6]: [i_brand_id#80, i_class_id#81, i_category_id#82, sum#87, isEmpty#88, count#89] +Keys [3]: [i_brand_id#80, i_class_id#81, i_category_id#82] +Functions [2]: [sum((cast(ws_quantity#75 as decimal(10,0)) * ws_list_price#76)), count(1)] + +(99) CometFilter +Input [5]: [i_brand_id#80, i_class_id#81, i_category_id#82, sales#90, number_sales#91] +Condition : (isnotnull(sales#90) AND (cast(sales#90 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#49, [id=#50] as decimal(32,6)))) + +(100) CometProject +Input [5]: [i_brand_id#80, i_class_id#81, i_category_id#82, sales#90, number_sales#91] +Arguments: [sales#90, number_sales#91, channel#92, i_brand_id#80, i_class_id#81, i_category_id#82], [sales#90, number_sales#91, web AS channel#92, i_brand_id#80, i_class_id#81, i_category_id#82] + +(101) CometUnion +Child 0 Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Child 1 Input [6]: [sales#71, number_sales#72, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63] +Child 2 Input [6]: [sales#90, number_sales#91, channel#92, i_brand_id#80, i_class_id#81, i_category_id#82] + +(102) CometExpand +Input [6]: [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54] +Arguments: [[sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, i_category_id#54, 0], [sales#47, number_sales#48, channel#51, i_brand_id#52, i_class_id#53, null, 1], [sales#47, number_sales#48, channel#51, i_brand_id#52, null, null, 3], [sales#47, number_sales#48, channel#51, null, null, null, 7], [sales#47, number_sales#48, null, null, null, null, 15]], [sales#47, number_sales#48, channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] + +(103) CometHashAggregate +Input [7]: [sales#47, number_sales#48, channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Keys [5]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Functions [2]: [partial_sum(sales#47), partial_sum(number_sales#48)] + +(104) CometExchange +Input [8]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, sum#98, isEmpty#99, sum#100] +Arguments: hashpartitioning(channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(105) CometHashAggregate +Input [8]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97, sum#98, isEmpty#99, sum#100] +Keys [5]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, spark_grouping_id#97] +Functions [2]: [sum(sales#47), sum(number_sales#48)] + +(106) CometTakeOrderedAndProject +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#93 ASC NULLS FIRST,i_brand_id#94 ASC NULLS FIRST,i_class_id#95 ASC NULLS FIRST,i_category_id#96 ASC NULLS FIRST], output=[channel#93,i_brand_id#94,i_class_id#95,i_category_id#96,sum(sales)#101,sum(number_sales)#102]), [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102], 100, 0, [channel#93 ASC NULLS FIRST, i_brand_id#94 ASC NULLS FIRST, i_class_id#95 ASC NULLS FIRST, i_category_id#96 ASC NULLS FIRST], [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] + +(107) CometColumnarToRow [codegen id : 76] +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum(sales)#101, sum(number_sales)#102] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#51, [id=#52] -* HashAggregate (130) -+- * CometColumnarToRow (129) - +- CometColumnarExchange (128) - +- * HashAggregate (127) - +- Union (126) - :- * Project (115) - : +- * BroadcastHashJoin Inner BuildRight (114) - : :- * ColumnarToRow (112) - : : +- Scan parquet spark_catalog.default.store_sales (111) - : +- ReusedExchange (113) - :- * Project (120) - : +- * BroadcastHashJoin Inner BuildRight (119) - : :- * ColumnarToRow (117) - : : +- Scan parquet spark_catalog.default.catalog_sales (116) - : +- ReusedExchange (118) - +- * Project (125) - +- * BroadcastHashJoin Inner BuildRight (124) - :- * ColumnarToRow (122) - : +- Scan parquet spark_catalog.default.web_sales (121) - +- ReusedExchange (123) - - -(111) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#49, [id=#50] +* CometColumnarToRow (127) ++- CometHashAggregate (126) + +- CometColumnarExchange (125) + +- * HashAggregate (124) + +- Union (123) + :- * Project (112) + : +- * BroadcastHashJoin Inner BuildRight (111) + : :- * ColumnarToRow (109) + : : +- Scan parquet spark_catalog.default.store_sales (108) + : +- ReusedExchange (110) + :- * Project (117) + : +- * BroadcastHashJoin Inner BuildRight (116) + : :- * ColumnarToRow (114) + : : +- Scan parquet spark_catalog.default.catalog_sales (113) + : +- ReusedExchange (115) + +- * Project (122) + +- * BroadcastHashJoin Inner BuildRight (121) + :- * ColumnarToRow (119) + : +- Scan parquet spark_catalog.default.web_sales (118) + +- ReusedExchange (120) + + +(108) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#116), dynamicpruningexpression(ss_sold_date_sk#116 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#105), dynamicpruningexpression(ss_sold_date_sk#105 IN dynamicpruning#12)] ReadSchema: struct -(112) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116] +(109) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105] -(113) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#117] +(110) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#106] -(114) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#116] -Right keys [1]: [d_date_sk#117] +(111) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#105] +Right keys [1]: [d_date_sk#106] Join type: Inner Join condition: None -(115) Project [codegen id : 2] -Output [2]: [ss_quantity#114 AS quantity#118, ss_list_price#115 AS list_price#119] -Input [4]: [ss_quantity#114, ss_list_price#115, ss_sold_date_sk#116, d_date_sk#117] +(112) Project [codegen id : 2] +Output [2]: [ss_quantity#103 AS quantity#107, ss_list_price#104 AS list_price#108] +Input [4]: [ss_quantity#103, ss_list_price#104, ss_sold_date_sk#105, d_date_sk#106] -(116) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122] +(113) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#122), dynamicpruningexpression(cs_sold_date_sk#122 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#111), dynamicpruningexpression(cs_sold_date_sk#111 IN dynamicpruning#12)] ReadSchema: struct -(117) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122] +(114) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111] -(118) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#123] +(115) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#112] -(119) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#122] -Right keys [1]: [d_date_sk#123] +(116) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#111] +Right keys [1]: [d_date_sk#112] Join type: Inner Join condition: None -(120) Project [codegen id : 4] -Output [2]: [cs_quantity#120 AS quantity#124, cs_list_price#121 AS list_price#125] -Input [4]: [cs_quantity#120, cs_list_price#121, cs_sold_date_sk#122, d_date_sk#123] +(117) Project [codegen id : 4] +Output [2]: [cs_quantity#109 AS quantity#113, cs_list_price#110 AS list_price#114] +Input [4]: [cs_quantity#109, cs_list_price#110, cs_sold_date_sk#111, d_date_sk#112] -(121) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128] +(118) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#128), dynamicpruningexpression(ws_sold_date_sk#128 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#117), dynamicpruningexpression(ws_sold_date_sk#117 IN dynamicpruning#12)] ReadSchema: struct -(122) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128] +(119) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117] -(123) ReusedExchange [Reuses operator id: 140] -Output [1]: [d_date_sk#129] +(120) ReusedExchange [Reuses operator id: 137] +Output [1]: [d_date_sk#118] -(124) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#128] -Right keys [1]: [d_date_sk#129] +(121) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#117] +Right keys [1]: [d_date_sk#118] Join type: Inner Join condition: None -(125) Project [codegen id : 6] -Output [2]: [ws_quantity#126 AS quantity#130, ws_list_price#127 AS list_price#131] -Input [4]: [ws_quantity#126, ws_list_price#127, ws_sold_date_sk#128, d_date_sk#129] +(122) Project [codegen id : 6] +Output [2]: [ws_quantity#115 AS quantity#119, ws_list_price#116 AS list_price#120] +Input [4]: [ws_quantity#115, ws_list_price#116, ws_sold_date_sk#117, d_date_sk#118] -(126) Union +(123) Union -(127) HashAggregate [codegen id : 7] -Input [2]: [quantity#118, list_price#119] +(124) HashAggregate [codegen id : 7] +Input [2]: [quantity#107, list_price#108] Keys: [] -Functions [1]: [partial_avg((cast(quantity#118 as decimal(10,0)) * list_price#119))] -Aggregate Attributes [2]: [sum#132, count#133] -Results [2]: [sum#134, count#135] +Functions [1]: [partial_avg((cast(quantity#107 as decimal(10,0)) * list_price#108))] +Aggregate Attributes [2]: [sum#121, count#122] +Results [2]: [sum#123, count#124] -(128) CometColumnarExchange -Input [2]: [sum#134, count#135] +(125) CometColumnarExchange +Input [2]: [sum#123, count#124] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(129) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#134, count#135] - -(130) HashAggregate [codegen id : 8] -Input [2]: [sum#134, count#135] +(126) CometHashAggregate +Input [2]: [sum#123, count#124] Keys: [] -Functions [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))] -Aggregate Attributes [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))#136] -Results [1]: [avg((cast(quantity#118 as decimal(10,0)) * list_price#119))#136 AS average_sales#137] +Functions [1]: [avg((cast(quantity#107 as decimal(10,0)) * list_price#108))] + +(127) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#125] -Subquery:2 Hosting operator id = 111 Hosting Expression = ss_sold_date_sk#116 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 108 Hosting Expression = ss_sold_date_sk#105 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 116 Hosting Expression = cs_sold_date_sk#122 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 113 Hosting Expression = cs_sold_date_sk#111 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 121 Hosting Expression = ws_sold_date_sk#128 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 118 Hosting Expression = ws_sold_date_sk#117 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (135) -+- * CometColumnarToRow (134) - +- CometProject (133) - +- CometFilter (132) - +- CometNativeScan parquet spark_catalog.default.date_dim (131) +BroadcastExchange (132) ++- * CometColumnarToRow (131) + +- CometProject (130) + +- CometFilter (129) + +- CometNativeScan parquet spark_catalog.default.date_dim (128) -(131) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#138, d_moy#139] +(128) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#126, d_moy#127] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(132) CometFilter -Input [3]: [d_date_sk#40, d_year#138, d_moy#139] -Condition : ((((isnotnull(d_year#138) AND isnotnull(d_moy#139)) AND (d_year#138 = 2001)) AND (d_moy#139 = 11)) AND isnotnull(d_date_sk#40)) +(129) CometFilter +Input [3]: [d_date_sk#40, d_year#126, d_moy#127] +Condition : ((((isnotnull(d_year#126) AND isnotnull(d_moy#127)) AND (d_year#126 = 2001)) AND (d_moy#127 = 11)) AND isnotnull(d_date_sk#40)) -(133) CometProject -Input [3]: [d_date_sk#40, d_year#138, d_moy#139] +(130) CometProject +Input [3]: [d_date_sk#40, d_year#126, d_moy#127] Arguments: [d_date_sk#40], [d_date_sk#40] -(134) CometColumnarToRow [codegen id : 1] +(131) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(135) BroadcastExchange +(132) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (140) -+- * CometColumnarToRow (139) - +- CometProject (138) - +- CometFilter (137) - +- CometNativeScan parquet spark_catalog.default.date_dim (136) +BroadcastExchange (137) ++- * CometColumnarToRow (136) + +- CometProject (135) + +- CometFilter (134) + +- CometNativeScan parquet spark_catalog.default.date_dim (133) -(136) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#140] +(133) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#128] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(137) CometFilter -Input [2]: [d_date_sk#24, d_year#140] -Condition : (((isnotnull(d_year#140) AND (d_year#140 >= 1999)) AND (d_year#140 <= 2001)) AND isnotnull(d_date_sk#24)) +(134) CometFilter +Input [2]: [d_date_sk#24, d_year#128] +Condition : (((isnotnull(d_year#128) AND (d_year#128 >= 1999)) AND (d_year#128 <= 2001)) AND isnotnull(d_date_sk#24)) -(138) CometProject -Input [2]: [d_date_sk#24, d_year#140] +(135) CometProject +Input [2]: [d_date_sk#24, d_year#128] Arguments: [d_date_sk#24], [d_date_sk#24] -(139) CometColumnarToRow [codegen id : 1] +(136) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(140) BroadcastExchange +(137) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] @@ -811,12 +790,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 85 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:9 Hosting operator id = 83 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:10 Hosting operator id = 70 Hosting Expression = cs_sold_date_sk#60 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#58 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 102 Hosting Expression = ReusedSubquery Subquery scalar-subquery#51, [id=#52] +Subquery:11 Hosting operator id = 99 Hosting Expression = ReusedSubquery Subquery scalar-subquery#49, [id=#50] -Subquery:12 Hosting operator id = 87 Hosting Expression = ws_sold_date_sk#81 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#77 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/extended.txt index dfd3434d90..34f635b252 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/extended.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- Project - : +- Filter +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometProject + : +- CometFilter : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Union @@ -43,511 +43,508 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Project - : +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometProject + : +- CometFilter : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- Filter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometProject + +- CometFilter : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 164 out of 458 eligible operators (35%). Final plan contains 93 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 179 out of 458 eligible operators (39%). Final plan contains 90 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/simplified.txt index c989fe9a81..587e20c015 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14a.native_datafusion/simplified.txt @@ -1,220 +1,209 @@ -TakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum(sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - Expand [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] - InputAdapter - Union - WholeStageCodegen (26) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] +WholeStageCodegen (76) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales)] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sales),sum(number_sales),sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] #1 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id,sum,isEmpty,sum] + CometExpand [channel,i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,spark_grouping_id] + CometUnion [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometProject [i_brand_id,i_class_id,i_category_id] [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #13 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #7 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #7 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] InputAdapter - BroadcastExchange #4 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + BroadcastExchange #5 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #6 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #6 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter - ReusedExchange [d_date_sk] #7 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #8 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + ReusedExchange [d_date_sk] #7 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (52) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 + BroadcastExchange #11 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #10 + InputAdapter + ReusedExchange [d_date_sk] #7 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - WholeStageCodegen (78) - Project [sales,number_sales,i_brand_id,i_class_id,i_category_id] - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 + CometProject [sales,number_sales,channel,i_brand_id,i_class_id,i_category_id] + CometFilter [i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #15 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #12 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/explain.txt index 7630396f0b..2193562885 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,380 +393,370 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#59] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#57] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [ss_item_sk#59] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [ss_item_sk#57] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#60] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#58] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#64] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#62] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#64] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] -Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71, count(1)#72] -Results [6]: [store AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71 AS sales#74, count(1)#72 AS number_sales#75] - -(84) Filter [codegen id : 51] -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65] +Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Condition : (isnotnull(sales#70) AND (cast(sales#70 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#59, i_class_id#60, i_category_id#61], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#69,i_brand_id#59,i_class_id#60,i_category_id#61,sales#70,number_sales#71]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#78), dynamicpruningexpression(ss_sold_date_sk#78 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#74), dynamicpruningexpression(ss_sold_date_sk#74 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#79] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#75] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#78] -Right keys [1]: [d_date_sk#79] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#74] +Right keys [1]: [d_date_sk#75] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#76 AS quantity#80, ss_list_price#77 AS list_price#81] -Input [4]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78, d_date_sk#79] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#72 AS quantity#76, ss_list_price#73 AS list_price#77] +Input [4]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74, d_date_sk#75] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#84), dynamicpruningexpression(cs_sold_date_sk#84 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#80), dynamicpruningexpression(cs_sold_date_sk#80 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#85] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#81] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#84] -Right keys [1]: [d_date_sk#85] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#80] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#82 AS quantity#86, cs_list_price#83 AS list_price#87] -Input [4]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84, d_date_sk#85] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#78 AS quantity#82, cs_list_price#79 AS list_price#83] +Input [4]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80, d_date_sk#81] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#90), dynamicpruningexpression(ws_sold_date_sk#90 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#86), dynamicpruningexpression(ws_sold_date_sk#86 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#91] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#87] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#90] -Right keys [1]: [d_date_sk#91] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#86] +Right keys [1]: [d_date_sk#87] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#88 AS quantity#92, ws_list_price#89 AS list_price#93] -Input [4]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90, d_date_sk#91] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#84 AS quantity#88, ws_list_price#85 AS list_price#89] +Input [4]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86, d_date_sk#87] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#80, list_price#81] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#76, list_price#77] Keys: [] -Functions [1]: [partial_avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [2]: [sum#94, count#95] -Results [2]: [sum#96, count#97] - -(105) CometColumnarExchange -Input [2]: [sum#96, count#97] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] +Aggregate Attributes [2]: [sum#90, count#91] +Results [2]: [sum#92, count#93] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#96, count#97] +(104) CometColumnarExchange +Input [2]: [sum#92, count#93] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#96, count#97] +(105) CometHashAggregate +Input [2]: [sum#92, count#93] Keys: [] -Functions [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98] -Results [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98 AS average_sales#99] +Functions [1]: [avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#94] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#78 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#74 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#84 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#80 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#90 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#86 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#100] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#95] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#101), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#96), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#100] -Condition : ((isnotnull(d_week_seq#100) AND (d_week_seq#100 = ReusedSubquery Subquery scalar-subquery#101, [id=#102])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#95] +Condition : ((isnotnull(d_week_seq#95) AND (d_week_seq#95 = ReusedSubquery Subquery scalar-subquery#96, [id=#97])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#100] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#95] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = ReusedSubquery Subquery scalar-subquery#101, [id=#102] +Subquery:6 Hosting operator id = 108 Hosting Expression = ReusedSubquery Subquery scalar-subquery#96, [id=#97] -Subquery:7 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#101, [id=#102] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:7 Hosting operator id = 107 Hosting Expression = Subquery scalar-subquery#96, [id=#97] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,2000), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Condition : (((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND isnotnull(d_dom#106)) AND (d_year#104 = 2000)) AND (d_moy#105 = 12)) AND (d_dom#106 = 11)) +(113) CometFilter +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Condition : (((((isnotnull(d_year#99) AND isnotnull(d_moy#100)) AND isnotnull(d_dom#101)) AND (d_year#99 = 2000)) AND (d_moy#100 = 12)) AND (d_dom#101 = 11)) -(115) CometProject -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Arguments: [d_week_seq#103], [d_week_seq#103] +(114) CometProject +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Arguments: [d_week_seq#98], [d_week_seq#98] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#103] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#98] Subquery:8 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#107] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#102] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#107] -Condition : (((isnotnull(d_year#107) AND (d_year#107 >= 1999)) AND (d_year#107 <= 2001)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#102] +Condition : (((isnotnull(d_year#102) AND (d_year#102 >= 1999)) AND (d_year#102 <= 2001)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#107] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#102] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:9 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:10 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:11 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:11 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:12 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:12 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#64, d_week_seq#108] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#62, d_week_seq#103] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#109), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#104), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#64, d_week_seq#108] -Condition : ((isnotnull(d_week_seq#108) AND (d_week_seq#108 = ReusedSubquery Subquery scalar-subquery#109, [id=#110])) AND isnotnull(d_date_sk#64)) +(122) CometFilter +Input [2]: [d_date_sk#62, d_week_seq#103] +Condition : ((isnotnull(d_week_seq#103) AND (d_week_seq#103 = ReusedSubquery Subquery scalar-subquery#104, [id=#105])) AND isnotnull(d_date_sk#62)) -(124) CometProject -Input [2]: [d_date_sk#64, d_week_seq#108] -Arguments: [d_date_sk#64], [d_date_sk#64] +(123) CometProject +Input [2]: [d_date_sk#62, d_week_seq#103] +Arguments: [d_date_sk#62], [d_date_sk#62] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#64] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#62] -(126) BroadcastExchange -Input [1]: [d_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:13 Hosting operator id = 123 Hosting Expression = ReusedSubquery Subquery scalar-subquery#109, [id=#110] +Subquery:13 Hosting operator id = 122 Hosting Expression = ReusedSubquery Subquery scalar-subquery#104, [id=#105] -Subquery:14 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#109, [id=#110] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:14 Hosting operator id = 121 Hosting Expression = Subquery scalar-subquery#104, [id=#105] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,11)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Condition : (((((isnotnull(d_year#112) AND isnotnull(d_moy#113)) AND isnotnull(d_dom#114)) AND (d_year#112 = 1999)) AND (d_moy#113 = 12)) AND (d_dom#114 = 11)) +(127) CometFilter +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Condition : (((((isnotnull(d_year#107) AND isnotnull(d_moy#108)) AND isnotnull(d_dom#109)) AND (d_year#107 = 1999)) AND (d_moy#108 = 12)) AND (d_dom#109 = 11)) -(129) CometProject -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Arguments: [d_week_seq#111], [d_week_seq#111] +(128) CometProject +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Arguments: [d_week_seq#106], [d_week_seq#106] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#111] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#106] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/extended.txt index e44d85bdc2..511a236df8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/extended.txt @@ -1,229 +1,228 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- ReusedSubquery - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- ReusedSubquery - : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Subquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- ReusedSubquery + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- ReusedSubquery + : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Subquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -405,4 +404,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 337 eligible operators (37%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 337 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/simplified.txt index cc02a716ea..6d55890425 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q14b.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -164,45 +164,41 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - ReusedSubquery [d_week_seq] #6 - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + ReusedSubquery [d_week_seq] #6 + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/explain.txt index ddc9c5e253..2b53a0ac83 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -124,19 +124,17 @@ Results [2]: [ca_zip#11, sum#14] Input [2]: [ca_zip#11, sum#14] Arguments: hashpartitioning(ca_zip#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_zip#11, sum#14] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [2]: [ca_zip#11, sum#14] Keys [1]: [ca_zip#11] Functions [1]: [sum(UnscaledValue(cs_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#2))#15] -Results [2]: [ca_zip#11, MakeDecimal(sum(UnscaledValue(cs_sales_price#2))#15,17,2) AS sum(cs_sales_price)#16] -(24) TakeOrderedAndProject -Input [2]: [ca_zip#11, sum(cs_sales_price)#16] -Arguments: 100, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#16] +(23) CometTakeOrderedAndProject +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#11 ASC NULLS FIRST], output=[ca_zip#11,sum(cs_sales_price)#15]), [ca_zip#11, sum(cs_sales_price)#15], 100, 0, [ca_zip#11 ASC NULLS FIRST], [ca_zip#11, sum(cs_sales_price)#15] + +(24) CometColumnarToRow [codegen id : 5] +Input [2]: [ca_zip#11, sum(cs_sales_price)#15] ===== Subqueries ===== @@ -149,18 +147,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Output [3]: [d_date_sk#12, d_year#16, d_qoy#17] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] -Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2001)) AND isnotnull(d_date_sk#12)) +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] +Condition : ((((isnotnull(d_qoy#17) AND isnotnull(d_year#16)) AND (d_qoy#17 = 2)) AND (d_year#16 = 2001)) AND isnotnull(d_date_sk#12)) (27) CometProject -Input [3]: [d_date_sk#12, d_year#17, d_qoy#18] +Input [3]: [d_date_sk#12, d_year#16, d_qoy#17] Arguments: [d_date_sk#12], [d_date_sk#12] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/extended.txt index 8ed98bc5cb..570e1d1fbc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/simplified.txt index f31442dcfe..89bd052905 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q15.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,sum(cs_sales_price)] - WholeStageCodegen (5) - HashAggregate [ca_zip,sum] [sum(UnscaledValue(cs_sales_price)),sum(cs_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,sum(cs_sales_price)] + CometHashAggregate [sum] [ca_zip,sum(cs_sales_price),sum(UnscaledValue(cs_sales_price))] CometColumnarExchange [ca_zip] #1 WholeStageCodegen (4) HashAggregate [ca_zip,cs_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/explain.txt index f6ba10374e..4a2ce8b610 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Arguments: hashpartitioning(i_item_id#27, i_item_desc#26, s_state#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [21]: [i_item_id#27, i_item_desc#26, s_state#23, count#46, sum#47, count#48, n#49, avg#50, m2#51, count#52, sum#53, count#54, n#55, avg#56, m2#57, count#58, sum#59, count#60, n#61, avg#62, m2#63] Keys [3]: [i_item_id#27, i_item_desc#26, s_state#23] Functions [9]: [count(ss_quantity#5), avg(ss_quantity#5), stddev_samp(cast(ss_quantity#5 as double)), count(sr_return_quantity#11), avg(sr_return_quantity#11), stddev_samp(cast(sr_return_quantity#11 as double)), count(cs_quantity#16), avg(cs_quantity#16), stddev_samp(cast(cs_quantity#16 as double))] -Aggregate Attributes [9]: [count(ss_quantity#5)#64, avg(ss_quantity#5)#65, stddev_samp(cast(ss_quantity#5 as double))#66, count(sr_return_quantity#11)#67, avg(sr_return_quantity#11)#68, stddev_samp(cast(sr_return_quantity#11 as double))#69, count(cs_quantity#16)#70, avg(cs_quantity#16)#71, stddev_samp(cast(cs_quantity#16 as double))#72] -Results [15]: [i_item_id#27, i_item_desc#26, s_state#23, count(ss_quantity#5)#64 AS store_sales_quantitycount#73, avg(ss_quantity#5)#65 AS store_sales_quantityave#74, stddev_samp(cast(ss_quantity#5 as double))#66 AS store_sales_quantitystdev#75, (stddev_samp(cast(ss_quantity#5 as double))#66 / avg(ss_quantity#5)#65) AS store_sales_quantitycov#76, count(sr_return_quantity#11)#67 AS as_store_returns_quantitycount#77, avg(sr_return_quantity#11)#68 AS as_store_returns_quantityave#78, stddev_samp(cast(sr_return_quantity#11 as double))#69 AS as_store_returns_quantitystdev#79, (stddev_samp(cast(sr_return_quantity#11 as double))#69 / avg(sr_return_quantity#11)#68) AS store_returns_quantitycov#80, count(cs_quantity#16)#70 AS catalog_sales_quantitycount#81, avg(cs_quantity#16)#71 AS catalog_sales_quantityave#82, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitystdev#83, (stddev_samp(cast(cs_quantity#16 as double))#72 / avg(cs_quantity#16)#71) AS catalog_sales_quantitycov#84] -(43) TakeOrderedAndProject -Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] -Arguments: 100, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#73, store_sales_quantityave#74, store_sales_quantitystdev#75, store_sales_quantitycov#76, as_store_returns_quantitycount#77, as_store_returns_quantityave#78, as_store_returns_quantitystdev#79, store_returns_quantitycov#80, catalog_sales_quantitycount#81, catalog_sales_quantityave#82, catalog_sales_quantitystdev#83, catalog_sales_quantitycov#84] +(42) CometTakeOrderedAndProject +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#27 ASC NULLS FIRST,i_item_desc#26 ASC NULLS FIRST,s_state#23 ASC NULLS FIRST], output=[i_item_id#27,i_item_desc#26,s_state#23,store_sales_quantitycount#64,store_sales_quantityave#65,store_sales_quantitystdev#66,store_sales_quantitycov#67,as_store_returns_quantitycount#68,as_store_returns_quantityave#69,as_store_returns_quantitystdev#70,store_returns_quantitycov#71,catalog_sales_quantitycount#72,catalog_sales_quantityave#73,catalog_sales_quantitystdev#74,catalog_sales_quantitycov#75]), [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75], 100, 0, [i_item_id#27 ASC NULLS FIRST, i_item_desc#26 ASC NULLS FIRST, s_state#23 ASC NULLS FIRST], [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] + +(43) CometColumnarToRow [codegen id : 9] +Input [15]: [i_item_id#27, i_item_desc#26, s_state#23, store_sales_quantitycount#64, store_sales_quantityave#65, store_sales_quantitystdev#66, store_sales_quantitycov#67, as_store_returns_quantitycount#68, as_store_returns_quantityave#69, as_store_returns_quantitystdev#70, store_returns_quantitycov#71, catalog_sales_quantitycount#72, catalog_sales_quantityave#73, catalog_sales_quantitystdev#74, catalog_sales_quantitycov#75] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#18, d_quarter_name#85] +Output [2]: [d_date_sk#18, d_quarter_name#76] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_quarter_name), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [2]: [d_date_sk#18, d_quarter_name#85] -Condition : ((isnotnull(d_quarter_name#85) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(d_quarter_name#85, 6)) = 2001Q1)) AND isnotnull(d_date_sk#18)) +Input [2]: [d_date_sk#18, d_quarter_name#76] +Condition : ((isnotnull(d_quarter_name#76) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(d_quarter_name#76, 6)) = 2001Q1)) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [2]: [d_date_sk#18, d_quarter_name#85] +Input [2]: [d_date_sk#18, d_quarter_name#76] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_quarter_name#86] +Output [2]: [d_date_sk#19, d_quarter_name#77] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [2]: [d_date_sk#19, d_quarter_name#86] -Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(d_quarter_name#86, 6)) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_quarter_name#77] +Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(d_quarter_name#77, 6)) IN (2001Q1,2001Q2,2001Q3) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [2]: [d_date_sk#19, d_quarter_name#86] +Input [2]: [d_date_sk#19, d_quarter_name#77] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/simplified.txt index c63dd716a1..85af2996da 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q17.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_state,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double)),store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov] + CometHashAggregate [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] [i_item_id,i_item_desc,s_state,store_sales_quantitycount,store_sales_quantityave,store_sales_quantitystdev,store_sales_quantitycov,as_store_returns_quantitycount,as_store_returns_quantityave,as_store_returns_quantitystdev,store_returns_quantitycov,catalog_sales_quantitycount,catalog_sales_quantityave,catalog_sales_quantitystdev,catalog_sales_quantitycov,count(ss_quantity),avg(ss_quantity),stddev_samp(cast(ss_quantity as double)),count(sr_return_quantity),avg(sr_return_quantity),stddev_samp(cast(sr_return_quantity as double)),count(cs_quantity),avg(cs_quantity),stddev_samp(cast(cs_quantity as double))] CometColumnarExchange [i_item_id,i_item_desc,s_state] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_state,ss_quantity,sr_return_quantity,cs_quantity] [count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2,count,sum,count,n,avg,m2] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/explain.txt index f807104667..664efda81c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Expand (41) @@ -246,19 +246,17 @@ Results [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_gro Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(44) CometColumnarToRow [codegen id : 8] -Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] - -(45) HashAggregate [codegen id : 8] +(44) CometHashAggregate Input [19]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34, sum#49, count#50, sum#51, count#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62] Keys [5]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, spark_grouping_id#34] Functions [7]: [avg(cast(cs_quantity#4 as decimal(12,2))), avg(cast(cs_list_price#5 as decimal(12,2))), avg(cast(cs_coupon_amt#7 as decimal(12,2))), avg(cast(cs_sales_price#6 as decimal(12,2))), avg(cast(cs_net_profit#8 as decimal(12,2))), avg(cast(c_birth_year#19 as decimal(12,2))), avg(cast(cd_dep_count#14 as decimal(12,2)))] -Aggregate Attributes [7]: [avg(cast(cs_quantity#4 as decimal(12,2)))#63, avg(cast(cs_list_price#5 as decimal(12,2)))#64, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65, avg(cast(cs_sales_price#6 as decimal(12,2)))#66, avg(cast(cs_net_profit#8 as decimal(12,2)))#67, avg(cast(c_birth_year#19 as decimal(12,2)))#68, avg(cast(cd_dep_count#14 as decimal(12,2)))#69] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(cast(cs_quantity#4 as decimal(12,2)))#63 AS agg1#70, avg(cast(cs_list_price#5 as decimal(12,2)))#64 AS agg2#71, avg(cast(cs_coupon_amt#7 as decimal(12,2)))#65 AS agg3#72, avg(cast(cs_sales_price#6 as decimal(12,2)))#66 AS agg4#73, avg(cast(cs_net_profit#8 as decimal(12,2)))#67 AS agg5#74, avg(cast(c_birth_year#19 as decimal(12,2)))#68 AS agg6#75, avg(cast(cd_dep_count#14 as decimal(12,2)))#69 AS agg7#76] -(46) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#70, agg2#71, agg3#72, agg4#73, agg5#74, agg6#75, agg7#76] +(45) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#63,agg2#64,agg3#65,agg4#66,agg5#67,agg6#68,agg7#69]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] + +(46) CometColumnarToRow [codegen id : 8] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#63, agg2#64, agg3#65, agg4#66, agg5#67, agg6#68, agg7#69] ===== Subqueries ===== @@ -271,18 +269,18 @@ BroadcastExchange (51) (47) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#77] +Output [2]: [d_date_sk#26, d_year#70] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (48) CometFilter -Input [2]: [d_date_sk#26, d_year#77] -Condition : ((isnotnull(d_year#77) AND (d_year#77 = 1998)) AND isnotnull(d_date_sk#26)) +Input [2]: [d_date_sk#26, d_year#70] +Condition : ((isnotnull(d_year#70) AND (d_year#70 = 1998)) AND isnotnull(d_date_sk#26)) (49) CometProject -Input [2]: [d_date_sk#26, d_year#77] +Input [2]: [d_date_sk#26, d_year#70] Arguments: [d_date_sk#26], [d_date_sk#26] (50) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/extended.txt index b47fce49b3..da39e62cc0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -55,4 +55,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 21 out of 47 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/simplified.txt index 77a45c46cd..8eb5c052f8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q18.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2))),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [spark_grouping_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(cast(cs_quantity as decimal(12,2))),avg(cast(cs_list_price as decimal(12,2))),avg(cast(cs_coupon_amt as decimal(12,2))),avg(cast(cs_sales_price as decimal(12,2))),avg(cast(cs_net_profit as decimal(12,2))),avg(cast(c_birth_year as decimal(12,2))),avg(cast(cd_dep_count as decimal(12,2)))] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,spark_grouping_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/explain.txt index aa781d42a5..238ef6bfca 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/simplified.txt index fb0ed62abe..76272d2780 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/explain.txt index fbabcc7275..8e6e0cda81 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * Filter (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometFilter (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Project (19) @@ -125,23 +125,21 @@ Results [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Arguments: hashpartitioning(w_warehouse_name#7, i_item_id#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [4]: [w_warehouse_name#7, i_item_id#11, sum#16, sum#17] Keys [2]: [w_warehouse_name#7, i_item_id#11] Functions [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END), sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)] -Aggregate Attributes [2]: [sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19] -Results [4]: [w_warehouse_name#7, i_item_id#11, sum(CASE WHEN (d_date#13 < 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#18 AS inv_before#20, sum(CASE WHEN (d_date#13 >= 2000-03-11) THEN inv_quantity_on_hand#3 ELSE 0 END)#19 AS inv_after#21] -(24) Filter [codegen id : 5] -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Condition : (CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#20 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#21 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#20 as double)))))) <= 1.5) END) +(23) CometFilter +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Condition : (CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) >= 0.666667) END AND CASE WHEN (inv_before#18 > 0) THEN (knownfloatingpointnormalized(normalizenanandzero((cast(inv_after#19 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(inv_before#18 as double)))))) <= 1.5) END) + +(24) CometTakeOrderedAndProject +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#7 ASC NULLS FIRST,i_item_id#11 ASC NULLS FIRST], output=[w_warehouse_name#7,i_item_id#11,inv_before#18,inv_after#19]), [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19], 100, 0, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] -(25) TakeOrderedAndProject -Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] -Arguments: 100, [w_warehouse_name#7 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST], [w_warehouse_name#7, i_item_id#11, inv_before#20, inv_after#21] +(25) CometColumnarToRow [codegen id : 5] +Input [4]: [w_warehouse_name#7, i_item_id#11, inv_before#18, inv_after#19] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/extended.txt index 51fcfd010a..e57bd3e7a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -32,4 +32,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 10 out of 27 eligible operators (37%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/simplified.txt index 94925f8911..b271d6e683 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q21.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] - WholeStageCodegen (5) - Filter [inv_before,inv_after] - HashAggregate [w_warehouse_name,i_item_id,sum,sum] [sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),inv_before,inv_after,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,i_item_id,inv_before,inv_after] + CometFilter [w_warehouse_name,i_item_id,inv_before,inv_after] + CometHashAggregate [sum,sum] [w_warehouse_name,i_item_id,inv_before,inv_after,sum(CASE WHEN (d_date < 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END),sum(CASE WHEN (d_date >= 2000-03-11) THEN inv_quantity_on_hand ELSE 0 END)] CometColumnarExchange [w_warehouse_name,i_item_id] #1 WholeStageCodegen (4) HashAggregate [w_warehouse_name,i_item_id,d_date,inv_quantity_on_hand] [sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/explain.txt index 4de342c4d8..f85dcb0525 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (25) -+- * HashAggregate (24) - +- * CometColumnarToRow (23) +* CometColumnarToRow (25) ++- CometTakeOrderedAndProject (24) + +- CometHashAggregate (23) +- CometColumnarExchange (22) +- * HashAggregate (21) +- * Expand (20) @@ -129,19 +129,17 @@ Results [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_gr Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Arguments: hashpartitioning(i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [7]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21, sum#24, count#25] Keys [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, spark_grouping_id#21] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#26] -Results [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, avg(inv_quantity_on_hand#3)#26 AS qoh#27] -(25) TakeOrderedAndProject -Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] -Arguments: 100, [qoh#27 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#27] +(24) CometTakeOrderedAndProject +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#26 ASC NULLS FIRST,i_product_name#17 ASC NULLS FIRST,i_brand#18 ASC NULLS FIRST,i_class#19 ASC NULLS FIRST,i_category#20 ASC NULLS FIRST], output=[i_product_name#17,i_brand#18,i_class#19,i_category#20,qoh#26]), [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26], 100, 0, [qoh#26 ASC NULLS FIRST, i_product_name#17 ASC NULLS FIRST, i_brand#18 ASC NULLS FIRST, i_class#19 ASC NULLS FIRST, i_category#20 ASC NULLS FIRST], [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] + +(25) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#17, i_brand#18, i_class#19, i_category#20, qoh#26] ===== Subqueries ===== @@ -154,18 +152,18 @@ BroadcastExchange (30) (26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#28] +Output [2]: [d_date_sk#6, d_month_seq#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (27) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#28] -Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#6)) +Input [2]: [d_date_sk#6, d_month_seq#27] +Condition : (((isnotnull(d_month_seq#27) AND (d_month_seq#27 >= 1200)) AND (d_month_seq#27 <= 1211)) AND isnotnull(d_date_sk#6)) (28) CometProject -Input [2]: [d_date_sk#6, d_month_seq#28] +Input [2]: [d_date_sk#6, d_month_seq#27] Arguments: [d_date_sk#6], [d_date_sk#6] (29) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/extended.txt index 9b15a52cff..2f9297d93b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -34,4 +34,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 12 out of 29 eligible operators (41%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 14 out of 29 eligible operators (48%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/simplified.txt index 092e187177..5b2368f30b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/explain.txt index 029c7fd3df..d75bb8a8fc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/explain.txt @@ -15,10 +15,10 @@ : : : :- * ColumnarToRow (2) : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : +- BroadcastExchange (21) - : : : +- * Project (20) - : : : +- * Filter (19) - : : : +- * HashAggregate (18) - : : : +- * CometColumnarToRow (17) + : : : +- * CometColumnarToRow (20) + : : : +- CometProject (19) + : : : +- CometFilter (18) + : : : +- CometHashAggregate (17) : : : +- CometColumnarExchange (16) : : : +- * HashAggregate (15) : : : +- * Project (14) @@ -147,31 +147,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(19) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(18) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(19) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(20) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(20) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (21) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (22) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -188,199 +186,199 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (26) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (27) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (28) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (29) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (30) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (31) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (32) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (33) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (34) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (35) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (36) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (37) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (38) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (39) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (40) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (41) CometProject Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] (42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (44) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (45) CometBroadcastExchange -Input [1]: [d_date_sk#30] -Arguments: [d_date_sk#30] +Input [1]: [d_date_sk#29] +Arguments: [d_date_sk#29] (46) CometBroadcastHashJoin Left output [3]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [d_date_sk#30] -Arguments: [cs_sold_date_sk#5], [d_date_sk#30], Inner, BuildRight +Right output [1]: [d_date_sk#29] +Arguments: [cs_sold_date_sk#5], [d_date_sk#29], Inner, BuildRight (47) CometProject -Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#30] -Arguments: [sales#33], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#33] +Input [4]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, d_date_sk#29] +Arguments: [sales#32], [(cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4) AS sales#32] (48) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#38), dynamicpruningexpression(ws_sold_date_sk#38 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#37), dynamicpruningexpression(ws_sold_date_sk#37 IN dynamicpruning#6)] ReadSchema: struct (49) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (50) ReusedExchange [Reuses operator id: 21] -Output [1]: [item_sk#39] +Output [1]: [item_sk#38] (51) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#34] -Right keys [1]: [item_sk#39] +Left keys [1]: [ws_item_sk#33] +Right keys [1]: [item_sk#38] Join type: LeftSemi Join condition: None (52) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Input [5]: [ws_item_sk#34, ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Input [5]: [ws_item_sk#33, ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (53) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: hashpartitioning(ws_bill_customer_sk#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: hashpartitioning(ws_bill_customer_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] (54) CometSort -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_bill_customer_sk#35 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_bill_customer_sk#34 ASC NULLS FIRST] (55) ReusedExchange [Reuses operator id: 35] -Output [3]: [c_customer_sk#40, sum#41, isEmpty#42] +Output [3]: [c_customer_sk#39, sum#40, isEmpty#41] (56) CometHashAggregate -Input [3]: [c_customer_sk#40, sum#41, isEmpty#42] -Keys [1]: [c_customer_sk#40] -Functions [1]: [sum((cast(ss_quantity#43 as decimal(10,0)) * ss_sales_price#44))] +Input [3]: [c_customer_sk#39, sum#40, isEmpty#41] +Keys [1]: [c_customer_sk#39] +Functions [1]: [sum((cast(ss_quantity#42 as decimal(10,0)) * ss_sales_price#43))] (57) CometFilter -Input [2]: [c_customer_sk#40, ssales#45] -Condition : (isnotnull(ssales#45) AND (cast(ssales#45 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#39, ssales#44] +Condition : (isnotnull(ssales#44) AND (cast(ssales#44 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (58) CometProject -Input [2]: [c_customer_sk#40, ssales#45] -Arguments: [c_customer_sk#40], [c_customer_sk#40] +Input [2]: [c_customer_sk#39, ssales#44] +Arguments: [c_customer_sk#39], [c_customer_sk#39] (59) CometSort -Input [1]: [c_customer_sk#40] -Arguments: [c_customer_sk#40], [c_customer_sk#40 ASC NULLS FIRST] +Input [1]: [c_customer_sk#39] +Arguments: [c_customer_sk#39], [c_customer_sk#39 ASC NULLS FIRST] (60) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [c_customer_sk#40] -Arguments: [ws_bill_customer_sk#35], [c_customer_sk#40], LeftSemi +Left output [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [c_customer_sk#39] +Arguments: [ws_bill_customer_sk#34], [c_customer_sk#39], LeftSemi (61) CometProject -Input [4]: [ws_bill_customer_sk#35, ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Arguments: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38], [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] +Input [4]: [ws_bill_customer_sk#34, ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Arguments: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37], [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] (62) ReusedExchange [Reuses operator id: 45] -Output [1]: [d_date_sk#46] +Output [1]: [d_date_sk#45] (63) CometBroadcastHashJoin -Left output [3]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38] -Right output [1]: [d_date_sk#46] -Arguments: [ws_sold_date_sk#38], [d_date_sk#46], Inner, BuildRight +Left output [3]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37] +Right output [1]: [d_date_sk#45] +Arguments: [ws_sold_date_sk#37], [d_date_sk#45], Inner, BuildRight (64) CometProject -Input [4]: [ws_quantity#36, ws_list_price#37, ws_sold_date_sk#38, d_date_sk#46] -Arguments: [sales#47], [(cast(ws_quantity#36 as decimal(10,0)) * ws_list_price#37) AS sales#47] +Input [4]: [ws_quantity#35, ws_list_price#36, ws_sold_date_sk#37, d_date_sk#45] +Arguments: [sales#46], [(cast(ws_quantity#35 as decimal(10,0)) * ws_list_price#36) AS sales#46] (65) CometUnion -Child 0 Input [1]: [sales#33] -Child 1 Input [1]: [sales#47] +Child 0 Input [1]: [sales#32] +Child 1 Input [1]: [sales#46] (66) CometHashAggregate -Input [1]: [sales#33] +Input [1]: [sales#32] Keys: [] -Functions [1]: [partial_sum(sales#33)] +Functions [1]: [partial_sum(sales#32)] (67) CometExchange -Input [2]: [sum#48, isEmpty#49] +Input [2]: [sum#47, isEmpty#48] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (68) CometHashAggregate -Input [2]: [sum#48, isEmpty#49] +Input [2]: [sum#47, isEmpty#48] Keys: [] -Functions [1]: [sum(sales#33)] +Functions [1]: [sum(sales#32)] (69) CometColumnarToRow [codegen id : 11] -Input [1]: [sum(sales)#50] +Input [1]: [sum(sales)#49] ===== Subqueries ===== @@ -393,25 +391,25 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_moy#32] +Output [3]: [d_date_sk#29, d_year#30, d_moy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2000)) AND (d_moy#32 = 2)) AND isnotnull(d_date_sk#30)) +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Condition : ((((isnotnull(d_year#30) AND isnotnull(d_moy#31)) AND (d_year#30 = 2000)) AND (d_moy#31 = 2)) AND isnotnull(d_date_sk#29)) (72) CometProject -Input [3]: [d_date_sk#30, d_year#31, d_moy#32] -Arguments: [d_date_sk#30], [d_date_sk#30] +Input [3]: [d_date_sk#29, d_year#30, d_moy#31] +Arguments: [d_date_sk#29], [d_date_sk#29] (73) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] (74) BroadcastExchange -Input [1]: [d_date_sk#30] +Input [1]: [d_date_sk#29] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] Subquery:2 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -423,18 +421,18 @@ BroadcastExchange (79) (75) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#51] +Output [3]: [d_date_sk#10, d_date#11, d_year#50] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (76) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#51] -Condition : (d_year#51 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#50] +Condition : (d_year#50 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (77) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#51] +Input [3]: [d_date_sk#10, d_date#11, d_year#50] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (78) CometColumnarToRow [codegen id : 1] @@ -444,159 +442,149 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (99) -+- * CometColumnarToRow (98) - +- CometColumnarExchange (97) - +- * HashAggregate (96) - +- * HashAggregate (95) - +- * CometColumnarToRow (94) - +- CometColumnarExchange (93) - +- * HashAggregate (92) - +- * Project (91) - +- * BroadcastHashJoin Inner BuildRight (90) - :- * Project (88) - : +- * BroadcastHashJoin Inner BuildRight (87) - : :- * Filter (82) - : : +- * ColumnarToRow (81) - : : +- Scan parquet spark_catalog.default.store_sales (80) - : +- BroadcastExchange (86) - : +- * CometColumnarToRow (85) - : +- CometFilter (84) - : +- CometNativeScan parquet spark_catalog.default.customer (83) - +- ReusedExchange (89) +Subquery:3 Hosting operator id = 37 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (98) ++- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- CometColumnarExchange (93) + +- * HashAggregate (92) + +- * Project (91) + +- * BroadcastHashJoin Inner BuildRight (90) + :- * Project (88) + : +- * BroadcastHashJoin Inner BuildRight (87) + : :- * Filter (82) + : : +- * ColumnarToRow (81) + : : +- Scan parquet spark_catalog.default.store_sales (80) + : +- BroadcastExchange (86) + : +- * CometColumnarToRow (85) + : +- CometFilter (84) + : +- CometNativeScan parquet spark_catalog.default.customer (83) + +- ReusedExchange (89) (80) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] +Output [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] +PartitionFilters: [isnotnull(ss_sold_date_sk#54), dynamicpruningexpression(ss_sold_date_sk#54 IN dynamicpruning#55)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (81) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] +Input [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] (82) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55] -Condition : isnotnull(ss_customer_sk#52) +Input [4]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54] +Condition : isnotnull(ss_customer_sk#51) (83) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#57] +Output [1]: [c_customer_sk#56] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (84) CometFilter -Input [1]: [c_customer_sk#57] -Condition : isnotnull(c_customer_sk#57) +Input [1]: [c_customer_sk#56] +Condition : isnotnull(c_customer_sk#56) (85) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#57] +Input [1]: [c_customer_sk#56] (86) BroadcastExchange -Input [1]: [c_customer_sk#57] +Input [1]: [c_customer_sk#56] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] (87) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#52] -Right keys [1]: [c_customer_sk#57] +Left keys [1]: [ss_customer_sk#51] +Right keys [1]: [c_customer_sk#56] Join type: Inner Join condition: None (88) Project [codegen id : 3] -Output [4]: [ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57] -Input [5]: [ss_customer_sk#52, ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57] +Output [4]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56] +Input [5]: [ss_customer_sk#51, ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56] -(89) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#58] +(89) ReusedExchange [Reuses operator id: 103] +Output [1]: [d_date_sk#57] (90) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#55] -Right keys [1]: [d_date_sk#58] +Left keys [1]: [ss_sold_date_sk#54] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None (91) Project [codegen id : 3] -Output [3]: [ss_quantity#53, ss_sales_price#54, c_customer_sk#57] -Input [5]: [ss_quantity#53, ss_sales_price#54, ss_sold_date_sk#55, c_customer_sk#57, d_date_sk#58] +Output [3]: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56] +Input [5]: [ss_quantity#52, ss_sales_price#53, ss_sold_date_sk#54, c_customer_sk#56, d_date_sk#57] (92) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#53, ss_sales_price#54, c_customer_sk#57] -Keys [1]: [c_customer_sk#57] -Functions [1]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))] -Aggregate Attributes [2]: [sum#59, isEmpty#60] -Results [3]: [c_customer_sk#57, sum#61, isEmpty#62] +Input [3]: [ss_quantity#52, ss_sales_price#53, c_customer_sk#56] +Keys [1]: [c_customer_sk#56] +Functions [1]: [partial_sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))] +Aggregate Attributes [2]: [sum#58, isEmpty#59] +Results [3]: [c_customer_sk#56, sum#60, isEmpty#61] (93) CometColumnarExchange -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] -Arguments: hashpartitioning(c_customer_sk#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +Input [3]: [c_customer_sk#56, sum#60, isEmpty#61] +Arguments: hashpartitioning(c_customer_sk#56, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(94) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] +(94) CometHashAggregate +Input [3]: [c_customer_sk#56, sum#60, isEmpty#61] +Keys [1]: [c_customer_sk#56] +Functions [1]: [sum((cast(ss_quantity#52 as decimal(10,0)) * ss_sales_price#53))] -(95) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#57, sum#61, isEmpty#62] -Keys [1]: [c_customer_sk#57] -Functions [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))#63] -Results [1]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_sales_price#54))#63 AS csales#64] - -(96) HashAggregate [codegen id : 4] -Input [1]: [csales#64] +(95) CometHashAggregate +Input [1]: [csales#62] Keys: [] -Functions [1]: [partial_max(csales#64)] -Aggregate Attributes [1]: [max#65] -Results [1]: [max#66] - -(97) CometColumnarExchange -Input [1]: [max#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_max(csales#62)] -(98) CometColumnarToRow [codegen id : 5] -Input [1]: [max#66] +(96) CometExchange +Input [1]: [max#63] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(99) HashAggregate [codegen id : 5] -Input [1]: [max#66] +(97) CometHashAggregate +Input [1]: [max#63] Keys: [] -Functions [1]: [max(csales#64)] -Aggregate Attributes [1]: [max(csales#64)#67] -Results [1]: [max(csales#64)#67 AS tpcds_cmax#68] +Functions [1]: [max(csales#62)] + +(98) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#64] -Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +Subquery:4 Hosting operator id = 80 Hosting Expression = ss_sold_date_sk#54 IN dynamicpruning#55 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometNativeScan parquet spark_catalog.default.date_dim (99) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#58, d_year#69] +(99) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#57, d_year#65] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#58, d_year#69] -Condition : (d_year#69 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#58)) +(100) CometFilter +Input [2]: [d_date_sk#57, d_year#65] +Condition : (d_year#65 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#57)) -(102) CometProject -Input [2]: [d_date_sk#58, d_year#69] -Arguments: [d_date_sk#58], [d_date_sk#58] +(101) CometProject +Input [2]: [d_date_sk#57, d_year#65] +Arguments: [d_date_sk#57], [d_date_sk#57] -(103) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#58] +(102) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#57] -(104) BroadcastExchange -Input [1]: [d_date_sk#58] +(103) BroadcastExchange +Input [1]: [d_date_sk#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#38 IN dynamicpruning#6 +Subquery:5 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#37 IN dynamicpruning#6 -Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:6 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/extended.txt index aadeb13f7b..2730656763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/extended.txt @@ -20,10 +20,10 @@ CometColumnarToRow : : : : +- CometFilter : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -52,36 +52,35 @@ CometColumnarToRow : : +- CometProject : : +- CometFilter : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : +- CometHashAggregate : : +- CometExchange : : +- CometHashAggregate @@ -109,10 +108,10 @@ CometColumnarToRow : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : +- ReusedSubquery : : +- BroadcastExchange - : : +- Project - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -157,4 +156,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 83 out of 138 eligible operators (60%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 92 out of 138 eligible operators (66%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/simplified.txt index d42a6ba29e..c28b364bd5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23a.native_datafusion/simplified.txt @@ -28,11 +28,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -65,44 +65,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/explain.txt index ff47906a58..a3708869dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/explain.txt @@ -18,10 +18,10 @@ : : : : : +- * ColumnarToRow (2) : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) : : : : +- BroadcastExchange (22) - : : : : +- * Project (21) - : : : : +- * Filter (20) - : : : : +- * HashAggregate (19) - : : : : +- * CometColumnarToRow (18) + : : : : +- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometHashAggregate (18) : : : : +- CometColumnarExchange (17) : : : : +- * HashAggregate (16) : : : : +- * Project (15) @@ -173,31 +173,29 @@ Results [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Arguments: hashpartitioning(_groupingexpression#14, i_item_sk#12, d_date#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(18) CometColumnarToRow [codegen id : 4] -Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] - -(19) HashAggregate [codegen id : 4] +(18) CometHashAggregate Input [4]: [_groupingexpression#14, i_item_sk#12, d_date#11, count#16] Keys [3]: [_groupingexpression#14, i_item_sk#12, d_date#11] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#17] -Results [2]: [i_item_sk#12 AS item_sk#18, count(1)#17 AS cnt#19] -(20) Filter [codegen id : 4] -Input [2]: [item_sk#18, cnt#19] -Condition : (cnt#19 > 4) +(19) CometFilter +Input [2]: [item_sk#17, cnt#18] +Condition : (cnt#18 > 4) + +(20) CometProject +Input [2]: [item_sk#17, cnt#18] +Arguments: [item_sk#17], [item_sk#17] -(21) Project [codegen id : 4] -Output [1]: [item_sk#18] -Input [2]: [item_sk#18, cnt#19] +(21) CometColumnarToRow [codegen id : 4] +Input [1]: [item_sk#17] (22) BroadcastExchange -Input [1]: [item_sk#18] +Input [1]: [item_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 5] Left keys [1]: [cs_item_sk#2] -Right keys [1]: [item_sk#18] +Right keys [1]: [item_sk#17] Join type: LeftSemi Join condition: None @@ -214,287 +212,287 @@ Input [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_ Arguments: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5], [cs_bill_customer_sk#1 ASC NULLS FIRST] (27) CometNativeScan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] +Output [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] Batched: true Location [not included in comparison]/{warehouse_dir}/store_sales] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (28) CometFilter -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Condition : isnotnull(ss_customer_sk#20) +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Condition : isnotnull(ss_customer_sk#19) (29) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, ss_sold_date_sk#23] -Arguments: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22], [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, ss_sold_date_sk#22] +Arguments: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21], [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] (30) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#24] +Output [1]: [c_customer_sk#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (31) CometFilter -Input [1]: [c_customer_sk#24] -Condition : isnotnull(c_customer_sk#24) +Input [1]: [c_customer_sk#23] +Condition : isnotnull(c_customer_sk#23) (32) CometBroadcastExchange -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23] (33) CometBroadcastHashJoin -Left output [3]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22] -Right output [1]: [c_customer_sk#24] -Arguments: [ss_customer_sk#20], [c_customer_sk#24], Inner, BuildRight +Left output [3]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21] +Right output [1]: [c_customer_sk#23] +Arguments: [ss_customer_sk#19], [c_customer_sk#23], Inner, BuildRight (34) CometProject -Input [4]: [ss_customer_sk#20, ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Arguments: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24], [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] +Input [4]: [ss_customer_sk#19, ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Arguments: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23], [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] (35) CometHashAggregate -Input [3]: [ss_quantity#21, ss_sales_price#22, c_customer_sk#24] -Keys [1]: [c_customer_sk#24] -Functions [1]: [partial_sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [ss_quantity#20, ss_sales_price#21, c_customer_sk#23] +Keys [1]: [c_customer_sk#23] +Functions [1]: [partial_sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (36) CometExchange -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Arguments: hashpartitioning(c_customer_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Arguments: hashpartitioning(c_customer_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] (37) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (38) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * Subquery scalar-subquery#27, [id=#28]))) (39) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (40) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (41) CometSortMergeJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [1]: [c_customer_sk#24] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#24], LeftSemi +Right output [1]: [c_customer_sk#23] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#23], LeftSemi (42) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] +Output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (43) CometFilter -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Condition : isnotnull(c_customer_sk#30) +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Condition : isnotnull(c_customer_sk#29) (44) CometExchange -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: hashpartitioning(c_customer_sk#30, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: hashpartitioning(c_customer_sk#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (45) CometSort -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#31, c_last_name#32], [c_customer_sk#30 ASC NULLS FIRST] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#30, c_last_name#31], [c_customer_sk#29 ASC NULLS FIRST] (46) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#24, sum#25, isEmpty#26] +Output [3]: [c_customer_sk#23, sum#24, isEmpty#25] (47) CometHashAggregate -Input [3]: [c_customer_sk#24, sum#25, isEmpty#26] -Keys [1]: [c_customer_sk#24] -Functions [1]: [sum((cast(ss_quantity#21 as decimal(10,0)) * ss_sales_price#22))] +Input [3]: [c_customer_sk#23, sum#24, isEmpty#25] +Keys [1]: [c_customer_sk#23] +Functions [1]: [sum((cast(ss_quantity#20 as decimal(10,0)) * ss_sales_price#21))] (48) CometFilter -Input [2]: [c_customer_sk#24, ssales#27] -Condition : (isnotnull(ssales#27) AND (cast(ssales#27 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#23, ssales#26] +Condition : (isnotnull(ssales#26) AND (cast(ssales#26 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (49) CometProject -Input [2]: [c_customer_sk#24, ssales#27] -Arguments: [c_customer_sk#24], [c_customer_sk#24] +Input [2]: [c_customer_sk#23, ssales#26] +Arguments: [c_customer_sk#23], [c_customer_sk#23] (50) CometSort -Input [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#24], [c_customer_sk#24 ASC NULLS FIRST] +Input [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#23], [c_customer_sk#23 ASC NULLS FIRST] (51) CometSortMergeJoin -Left output [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Right output [1]: [c_customer_sk#24] -Arguments: [c_customer_sk#30], [c_customer_sk#24], LeftSemi +Left output [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Right output [1]: [c_customer_sk#23] +Arguments: [c_customer_sk#29], [c_customer_sk#23], LeftSemi (52) CometProject -Input [3]: [c_customer_sk#30, c_first_name#31, c_last_name#32] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34], [c_customer_sk#30, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#31, 20)) AS c_first_name#33, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#32, 30)) AS c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#30, c_last_name#31] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33], [c_customer_sk#29, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#30, 20)) AS c_first_name#32, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#31, 30)) AS c_last_name#33] (53) CometBroadcastExchange -Input [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [c_customer_sk#30, c_first_name#33, c_last_name#34] +Input [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [c_customer_sk#29, c_first_name#32, c_last_name#33] (54) CometBroadcastHashJoin Left output [4]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5] -Right output [3]: [c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_bill_customer_sk#1], [c_customer_sk#30], Inner, BuildRight +Right output [3]: [c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_bill_customer_sk#1], [c_customer_sk#29], Inner, BuildRight (55) CometProject -Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#30, c_first_name#33, c_last_name#34] -Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] +Input [7]: [cs_bill_customer_sk#1, cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_customer_sk#29, c_first_name#32, c_last_name#33] +Arguments: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] (56) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (57) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (58) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (59) CometBroadcastExchange -Input [1]: [d_date_sk#35] -Arguments: [d_date_sk#35] +Input [1]: [d_date_sk#34] +Arguments: [d_date_sk#34] (60) CometBroadcastHashJoin -Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34] -Right output [1]: [d_date_sk#35] -Arguments: [cs_sold_date_sk#5], [d_date_sk#35], Inner, BuildRight +Left output [5]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33] +Right output [1]: [d_date_sk#34] +Arguments: [cs_sold_date_sk#5], [d_date_sk#34], Inner, BuildRight (61) CometProject -Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#33, c_last_name#34, d_date_sk#35] -Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34], [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] +Input [6]: [cs_quantity#3, cs_list_price#4, cs_sold_date_sk#5, c_first_name#32, c_last_name#33, d_date_sk#34] +Arguments: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33], [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] (62) CometHashAggregate -Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#33, c_last_name#34] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [cs_quantity#3, cs_list_price#4, c_first_name#32, c_last_name#33] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [partial_sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (63) CometExchange -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Arguments: hashpartitioning(c_last_name#34, c_first_name#33, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Arguments: hashpartitioning(c_last_name#33, c_first_name#32, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] (64) CometHashAggregate -Input [4]: [c_last_name#34, c_first_name#33, sum#38, isEmpty#39] -Keys [2]: [c_last_name#34, c_first_name#33] +Input [4]: [c_last_name#33, c_first_name#32, sum#37, isEmpty#38] +Keys [2]: [c_last_name#33, c_first_name#32] Functions [1]: [sum((cast(cs_quantity#3 as decimal(10,0)) * cs_list_price#4))] (65) Scan parquet spark_catalog.default.web_sales -Output [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#6)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#6)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct (66) ColumnarToRow [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (67) Filter [codegen id : 10] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#41) +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#40) (68) ReusedExchange [Reuses operator id: 22] -Output [1]: [item_sk#45] +Output [1]: [item_sk#44] (69) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#40] -Right keys [1]: [item_sk#45] +Left keys [1]: [ws_item_sk#39] +Right keys [1]: [item_sk#44] Join type: LeftSemi Join condition: None (70) Project [codegen id : 10] -Output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Input [5]: [ws_item_sk#40, ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] +Output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Input [5]: [ws_item_sk#39, ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] (71) CometColumnarExchange -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: hashpartitioning(ws_bill_customer_sk#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: hashpartitioning(ws_bill_customer_sk#40, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] (72) CometSort -Input [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Arguments: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44], [ws_bill_customer_sk#41 ASC NULLS FIRST] +Input [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Arguments: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43], [ws_bill_customer_sk#40 ASC NULLS FIRST] (73) ReusedExchange [Reuses operator id: 36] -Output [3]: [c_customer_sk#46, sum#47, isEmpty#48] +Output [3]: [c_customer_sk#45, sum#46, isEmpty#47] (74) CometHashAggregate -Input [3]: [c_customer_sk#46, sum#47, isEmpty#48] -Keys [1]: [c_customer_sk#46] -Functions [1]: [sum((cast(ss_quantity#49 as decimal(10,0)) * ss_sales_price#50))] +Input [3]: [c_customer_sk#45, sum#46, isEmpty#47] +Keys [1]: [c_customer_sk#45] +Functions [1]: [sum((cast(ss_quantity#48 as decimal(10,0)) * ss_sales_price#49))] (75) CometFilter -Input [2]: [c_customer_sk#46, ssales#51] -Condition : (isnotnull(ssales#51) AND (cast(ssales#51 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#28, [id=#29]))) +Input [2]: [c_customer_sk#45, ssales#50] +Condition : (isnotnull(ssales#50) AND (cast(ssales#50 as decimal(38,8)) > (0.500000 * ReusedSubquery Subquery scalar-subquery#27, [id=#28]))) (76) CometProject -Input [2]: [c_customer_sk#46, ssales#51] -Arguments: [c_customer_sk#46], [c_customer_sk#46] +Input [2]: [c_customer_sk#45, ssales#50] +Arguments: [c_customer_sk#45], [c_customer_sk#45] (77) CometSort -Input [1]: [c_customer_sk#46] -Arguments: [c_customer_sk#46], [c_customer_sk#46 ASC NULLS FIRST] +Input [1]: [c_customer_sk#45] +Arguments: [c_customer_sk#45], [c_customer_sk#45 ASC NULLS FIRST] (78) CometSortMergeJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [1]: [c_customer_sk#46] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#46], LeftSemi +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [1]: [c_customer_sk#45] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#45], LeftSemi (79) ReusedExchange [Reuses operator id: 53] -Output [3]: [c_customer_sk#52, c_first_name#53, c_last_name#54] +Output [3]: [c_customer_sk#51, c_first_name#52, c_last_name#53] (80) CometBroadcastHashJoin -Left output [4]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44] -Right output [3]: [c_customer_sk#52, c_first_name#53, c_last_name#54] -Arguments: [ws_bill_customer_sk#41], [c_customer_sk#52], Inner, BuildRight +Left output [4]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43] +Right output [3]: [c_customer_sk#51, c_first_name#52, c_last_name#53] +Arguments: [ws_bill_customer_sk#40], [c_customer_sk#51], Inner, BuildRight (81) CometProject -Input [7]: [ws_bill_customer_sk#41, ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_customer_sk#52, c_first_name#53, c_last_name#54] -Arguments: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54], [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54] +Input [7]: [ws_bill_customer_sk#40, ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_customer_sk#51, c_first_name#52, c_last_name#53] +Arguments: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53], [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53] (82) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#55] +Output [1]: [d_date_sk#54] (83) CometBroadcastHashJoin -Left output [5]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54] -Right output [1]: [d_date_sk#55] -Arguments: [ws_sold_date_sk#44], [d_date_sk#55], Inner, BuildRight +Left output [5]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53] +Right output [1]: [d_date_sk#54] +Arguments: [ws_sold_date_sk#43], [d_date_sk#54], Inner, BuildRight (84) CometProject -Input [6]: [ws_quantity#42, ws_list_price#43, ws_sold_date_sk#44, c_first_name#53, c_last_name#54, d_date_sk#55] -Arguments: [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54], [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54] +Input [6]: [ws_quantity#41, ws_list_price#42, ws_sold_date_sk#43, c_first_name#52, c_last_name#53, d_date_sk#54] +Arguments: [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53], [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53] (85) CometHashAggregate -Input [4]: [ws_quantity#42, ws_list_price#43, c_first_name#53, c_last_name#54] -Keys [2]: [c_last_name#54, c_first_name#53] -Functions [1]: [partial_sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [ws_quantity#41, ws_list_price#42, c_first_name#52, c_last_name#53] +Keys [2]: [c_last_name#53, c_first_name#52] +Functions [1]: [partial_sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (86) CometExchange -Input [4]: [c_last_name#54, c_first_name#53, sum#56, isEmpty#57] -Arguments: hashpartitioning(c_last_name#54, c_first_name#53, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +Input [4]: [c_last_name#53, c_first_name#52, sum#55, isEmpty#56] +Arguments: hashpartitioning(c_last_name#53, c_first_name#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] (87) CometHashAggregate -Input [4]: [c_last_name#54, c_first_name#53, sum#56, isEmpty#57] -Keys [2]: [c_last_name#54, c_first_name#53] -Functions [1]: [sum((cast(ws_quantity#42 as decimal(10,0)) * ws_list_price#43))] +Input [4]: [c_last_name#53, c_first_name#52, sum#55, isEmpty#56] +Keys [2]: [c_last_name#53, c_first_name#52] +Functions [1]: [sum((cast(ws_quantity#41 as decimal(10,0)) * ws_list_price#42))] (88) CometUnion -Child 0 Input [3]: [c_last_name#34, c_first_name#33, sales#58] -Child 1 Input [3]: [c_last_name#54, c_first_name#53, sales#59] +Child 0 Input [3]: [c_last_name#33, c_first_name#32, sales#57] +Child 1 Input [3]: [c_last_name#53, c_first_name#52, sales#58] (89) CometTakeOrderedAndProject -Input [3]: [c_last_name#34, c_first_name#33, sales#58] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#34 ASC NULLS FIRST,c_first_name#33 ASC NULLS FIRST,sales#58 ASC NULLS FIRST], output=[c_last_name#34,c_first_name#33,sales#58]), [c_last_name#34, c_first_name#33, sales#58], 100, 0, [c_last_name#34 ASC NULLS FIRST, c_first_name#33 ASC NULLS FIRST, sales#58 ASC NULLS FIRST], [c_last_name#34, c_first_name#33, sales#58] +Input [3]: [c_last_name#33, c_first_name#32, sales#57] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#33 ASC NULLS FIRST,c_first_name#32 ASC NULLS FIRST,sales#57 ASC NULLS FIRST], output=[c_last_name#33,c_first_name#32,sales#57]), [c_last_name#33, c_first_name#32, sales#57], 100, 0, [c_last_name#33 ASC NULLS FIRST, c_first_name#32 ASC NULLS FIRST, sales#57 ASC NULLS FIRST], [c_last_name#33, c_first_name#32, sales#57] (90) CometColumnarToRow [codegen id : 11] -Input [3]: [c_last_name#34, c_first_name#33, sales#58] +Input [3]: [c_last_name#33, c_first_name#32, sales#57] ===== Subqueries ===== @@ -507,25 +505,25 @@ BroadcastExchange (95) (91) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#35, d_year#36, d_moy#37] +Output [3]: [d_date_sk#34, d_year#35, d_moy#36] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct (92) CometFilter -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Condition : ((((isnotnull(d_year#36) AND isnotnull(d_moy#37)) AND (d_year#36 = 2000)) AND (d_moy#37 = 2)) AND isnotnull(d_date_sk#35)) +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Condition : ((((isnotnull(d_year#35) AND isnotnull(d_moy#36)) AND (d_year#35 = 2000)) AND (d_moy#36 = 2)) AND isnotnull(d_date_sk#34)) (93) CometProject -Input [3]: [d_date_sk#35, d_year#36, d_moy#37] -Arguments: [d_date_sk#35], [d_date_sk#35] +Input [3]: [d_date_sk#34, d_year#35, d_moy#36] +Arguments: [d_date_sk#34], [d_date_sk#34] (94) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] (95) BroadcastExchange -Input [1]: [d_date_sk#35] +Input [1]: [d_date_sk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] Subquery:2 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 @@ -537,18 +535,18 @@ BroadcastExchange (100) (96) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_date#11, d_year#60] +Output [3]: [d_date_sk#10, d_date#11, d_year#59] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct (97) CometFilter -Input [3]: [d_date_sk#10, d_date#11, d_year#60] -Condition : (d_year#60 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) +Input [3]: [d_date_sk#10, d_date#11, d_year#59] +Condition : (d_year#59 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#10)) (98) CometProject -Input [3]: [d_date_sk#10, d_date#11, d_year#60] +Input [3]: [d_date_sk#10, d_date#11, d_year#59] Arguments: [d_date_sk#10, d_date#11], [d_date_sk#10, d_date#11] (99) CometColumnarToRow [codegen id : 1] @@ -558,161 +556,151 @@ Input [2]: [d_date_sk#10, d_date#11] Input [2]: [d_date_sk#10, d_date#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#28, [id=#29] -* HashAggregate (120) -+- * CometColumnarToRow (119) - +- CometColumnarExchange (118) - +- * HashAggregate (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * Filter (103) - : : +- * ColumnarToRow (102) - : : +- Scan parquet spark_catalog.default.store_sales (101) - : +- BroadcastExchange (107) - : +- * CometColumnarToRow (106) - : +- CometFilter (105) - : +- CometNativeScan parquet spark_catalog.default.customer (104) - +- ReusedExchange (110) +Subquery:3 Hosting operator id = 38 Hosting Expression = Subquery scalar-subquery#27, [id=#28] +* CometColumnarToRow (119) ++- CometHashAggregate (118) + +- CometExchange (117) + +- CometHashAggregate (116) + +- CometHashAggregate (115) + +- CometColumnarExchange (114) + +- * HashAggregate (113) + +- * Project (112) + +- * BroadcastHashJoin Inner BuildRight (111) + :- * Project (109) + : +- * BroadcastHashJoin Inner BuildRight (108) + : :- * Filter (103) + : : +- * ColumnarToRow (102) + : : +- Scan parquet spark_catalog.default.store_sales (101) + : +- BroadcastExchange (107) + : +- * CometColumnarToRow (106) + : +- CometFilter (105) + : +- CometNativeScan parquet spark_catalog.default.customer (104) + +- ReusedExchange (110) (101) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] +Output [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#64), dynamicpruningexpression(ss_sold_date_sk#64 IN dynamicpruning#65)] +PartitionFilters: [isnotnull(ss_sold_date_sk#63), dynamicpruningexpression(ss_sold_date_sk#63 IN dynamicpruning#64)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct (102) ColumnarToRow [codegen id : 3] -Input [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] +Input [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] (103) Filter [codegen id : 3] -Input [4]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64] -Condition : isnotnull(ss_customer_sk#61) +Input [4]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63] +Condition : isnotnull(ss_customer_sk#60) (104) CometNativeScan parquet spark_catalog.default.customer -Output [1]: [c_customer_sk#66] +Output [1]: [c_customer_sk#65] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct (105) CometFilter -Input [1]: [c_customer_sk#66] -Condition : isnotnull(c_customer_sk#66) +Input [1]: [c_customer_sk#65] +Condition : isnotnull(c_customer_sk#65) (106) CometColumnarToRow [codegen id : 1] -Input [1]: [c_customer_sk#66] +Input [1]: [c_customer_sk#65] (107) BroadcastExchange -Input [1]: [c_customer_sk#66] +Input [1]: [c_customer_sk#65] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] (108) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_customer_sk#61] -Right keys [1]: [c_customer_sk#66] +Left keys [1]: [ss_customer_sk#60] +Right keys [1]: [c_customer_sk#65] Join type: Inner Join condition: None (109) Project [codegen id : 3] -Output [4]: [ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66] -Input [5]: [ss_customer_sk#61, ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66] +Output [4]: [ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65] +Input [5]: [ss_customer_sk#60, ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65] -(110) ReusedExchange [Reuses operator id: 125] -Output [1]: [d_date_sk#67] +(110) ReusedExchange [Reuses operator id: 124] +Output [1]: [d_date_sk#66] (111) BroadcastHashJoin [codegen id : 3] -Left keys [1]: [ss_sold_date_sk#64] -Right keys [1]: [d_date_sk#67] +Left keys [1]: [ss_sold_date_sk#63] +Right keys [1]: [d_date_sk#66] Join type: Inner Join condition: None (112) Project [codegen id : 3] -Output [3]: [ss_quantity#62, ss_sales_price#63, c_customer_sk#66] -Input [5]: [ss_quantity#62, ss_sales_price#63, ss_sold_date_sk#64, c_customer_sk#66, d_date_sk#67] +Output [3]: [ss_quantity#61, ss_sales_price#62, c_customer_sk#65] +Input [5]: [ss_quantity#61, ss_sales_price#62, ss_sold_date_sk#63, c_customer_sk#65, d_date_sk#66] (113) HashAggregate [codegen id : 3] -Input [3]: [ss_quantity#62, ss_sales_price#63, c_customer_sk#66] -Keys [1]: [c_customer_sk#66] -Functions [1]: [partial_sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))] -Aggregate Attributes [2]: [sum#68, isEmpty#69] -Results [3]: [c_customer_sk#66, sum#70, isEmpty#71] +Input [3]: [ss_quantity#61, ss_sales_price#62, c_customer_sk#65] +Keys [1]: [c_customer_sk#65] +Functions [1]: [partial_sum((cast(ss_quantity#61 as decimal(10,0)) * ss_sales_price#62))] +Aggregate Attributes [2]: [sum#67, isEmpty#68] +Results [3]: [c_customer_sk#65, sum#69, isEmpty#70] (114) CometColumnarExchange -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] -Arguments: hashpartitioning(c_customer_sk#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +Input [3]: [c_customer_sk#65, sum#69, isEmpty#70] +Arguments: hashpartitioning(c_customer_sk#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] -(115) CometColumnarToRow [codegen id : 4] -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] +(115) CometHashAggregate +Input [3]: [c_customer_sk#65, sum#69, isEmpty#70] +Keys [1]: [c_customer_sk#65] +Functions [1]: [sum((cast(ss_quantity#61 as decimal(10,0)) * ss_sales_price#62))] -(116) HashAggregate [codegen id : 4] -Input [3]: [c_customer_sk#66, sum#70, isEmpty#71] -Keys [1]: [c_customer_sk#66] -Functions [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))] -Aggregate Attributes [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))#72] -Results [1]: [sum((cast(ss_quantity#62 as decimal(10,0)) * ss_sales_price#63))#72 AS csales#73] - -(117) HashAggregate [codegen id : 4] -Input [1]: [csales#73] +(116) CometHashAggregate +Input [1]: [csales#71] Keys: [] -Functions [1]: [partial_max(csales#73)] -Aggregate Attributes [1]: [max#74] -Results [1]: [max#75] - -(118) CometColumnarExchange -Input [1]: [max#75] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [1]: [partial_max(csales#71)] -(119) CometColumnarToRow [codegen id : 5] -Input [1]: [max#75] +(117) CometExchange +Input [1]: [max#72] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] -(120) HashAggregate [codegen id : 5] -Input [1]: [max#75] +(118) CometHashAggregate +Input [1]: [max#72] Keys: [] -Functions [1]: [max(csales#73)] -Aggregate Attributes [1]: [max(csales#73)#76] -Results [1]: [max(csales#73)#76 AS tpcds_cmax#77] +Functions [1]: [max(csales#71)] + +(119) CometColumnarToRow [codegen id : 4] +Input [1]: [tpcds_cmax#73] -Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#64 IN dynamicpruning#65 -BroadcastExchange (125) -+- * CometColumnarToRow (124) - +- CometProject (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +Subquery:4 Hosting operator id = 101 Hosting Expression = ss_sold_date_sk#63 IN dynamicpruning#64 +BroadcastExchange (124) ++- * CometColumnarToRow (123) + +- CometProject (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(121) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#67, d_year#78] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#66, d_year#74] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [2000,2001,2002,2003]), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter -Input [2]: [d_date_sk#67, d_year#78] -Condition : (d_year#78 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#67)) +(121) CometFilter +Input [2]: [d_date_sk#66, d_year#74] +Condition : (d_year#74 IN (2000,2001,2002,2003) AND isnotnull(d_date_sk#66)) -(123) CometProject -Input [2]: [d_date_sk#67, d_year#78] -Arguments: [d_date_sk#67], [d_date_sk#67] +(122) CometProject +Input [2]: [d_date_sk#66, d_year#74] +Arguments: [d_date_sk#66], [d_date_sk#66] -(124) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#67] +(123) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#66] -(125) BroadcastExchange -Input [1]: [d_date_sk#67] +(124) BroadcastExchange +Input [1]: [d_date_sk#66] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:5 Hosting operator id = 48 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] -Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#6 +Subquery:6 Hosting operator id = 65 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#6 -Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#28, [id=#29] +Subquery:7 Hosting operator id = 75 Hosting Expression = ReusedSubquery Subquery scalar-subquery#27, [id=#28] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/extended.txt index d41bf0802a..43350a34d4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/extended.txt @@ -23,10 +23,10 @@ CometColumnarToRow : : : : : +- CometFilter : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- Filter - : : : : +- HashAggregate - : : : : +- CometColumnarToRow + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometHashAggregate : : : : +- CometColumnarExchange : : : : +- HashAggregate : : : : +- Project @@ -55,36 +55,35 @@ CometColumnarToRow : : : +- CometProject : : : +- CometFilter : : : : +- Subquery - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim : : : +- CometHashAggregate : : : +- CometExchange : : : +- CometHashAggregate @@ -139,10 +138,10 @@ CometColumnarToRow : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] : : : : +- ReusedSubquery : : : +- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometHashAggregate : : : +- CometColumnarExchange : : : +- HashAggregate : : : +- Project @@ -209,4 +208,4 @@ CometColumnarToRow +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 131 out of 190 eligible operators (68%). Final plan contains 20 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 140 out of 190 eligible operators (73%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/simplified.txt index 41f01311f8..60f316ac02 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q23b.native_datafusion/simplified.txt @@ -31,11 +31,11 @@ WholeStageCodegen (11) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Project [item_sk] - Filter [cnt] - HashAggregate [_groupingexpression,i_item_sk,d_date,count] [count(1),item_sk,cnt,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometProject [item_sk] + CometFilter [item_sk,cnt] + CometHashAggregate [_groupingexpression,d_date,count] [item_sk,cnt,i_item_sk,count(1)] CometColumnarExchange [_groupingexpression,i_item_sk,d_date] #5 WholeStageCodegen (3) HashAggregate [_groupingexpression,i_item_sk,d_date] [count,count] @@ -68,44 +68,41 @@ WholeStageCodegen (11) CometProject [c_customer_sk] CometFilter [c_customer_sk,ssales] Subquery #3 - WholeStageCodegen (5) - HashAggregate [max] [max(csales),tpcds_cmax,max] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (4) - HashAggregate [csales] [max,max] - HashAggregate [c_customer_sk,sum,isEmpty] [sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price)),csales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #11 - WholeStageCodegen (3) - HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,c_customer_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #12 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] - InputAdapter - ReusedExchange [d_date_sk] #12 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometHashAggregate [max] [tpcds_cmax,max(csales)] + CometExchange #10 + CometHashAggregate [csales] [max] + CometHashAggregate [c_customer_sk,sum,isEmpty] [csales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] + CometColumnarExchange [c_customer_sk] #11 + WholeStageCodegen (3) + HashAggregate [c_customer_sk,ss_quantity,ss_sales_price] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,c_customer_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_sales_price,ss_sold_date_sk,c_customer_sk] + BroadcastHashJoin [ss_customer_sk,c_customer_sk] + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #12 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk] + InputAdapter + ReusedExchange [d_date_sk] #12 CometHashAggregate [sum,isEmpty] [c_customer_sk,ssales,sum((cast(ss_quantity as decimal(10,0)) * ss_sales_price))] CometExchange [c_customer_sk] #8 CometHashAggregate [ss_quantity,ss_sales_price] [c_customer_sk,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/explain.txt index d6087012db..a2f0ab3506 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/explain.txt index df3b1ff6b0..af065ed3de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/explain.txt index df3b1ff6b0..af065ed3de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24a/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/explain.txt index f4e4f60060..b226917a8b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometNativeScan parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/extended.txt index b65f56f327..d6f743578a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometNativeScan parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometNativeScan parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometNativeScan parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometNativeScan parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometNativeScan parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/simplified.txt index af8d5ee7aa..4268a67a40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_datafusion/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/explain.txt index 4e088146fe..118a7ce502 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b.native_iceberg_compat/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/explain.txt index 4e088146fe..118a7ce502 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* Filter (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (46) ++- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -233,207 +232,188 @@ Results [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_ Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#38] Keys [10]: [c_last_name#31, c_first_name#30, s_store_name#11, ca_state#35, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#39] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#39,17,2) AS netpaid#40] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#40] +(42) CometHashAggregate +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, netpaid#39] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [partial_sum(netpaid#40)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] - -(44) CometColumnarExchange -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] -Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#39)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(43) CometExchange +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] +Arguments: hashpartitioning(c_last_name#31, c_first_name#30, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#43, isEmpty#44] +(44) CometHashAggregate +Input [5]: [c_last_name#31, c_first_name#30, s_store_name#11, sum#40, isEmpty#41] Keys [3]: [c_last_name#31, c_first_name#30, s_store_name#11] -Functions [1]: [sum(netpaid#40)] -Aggregate Attributes [1]: [sum(netpaid#40)#45] -Results [4]: [c_last_name#31, c_first_name#30, s_store_name#11, sum(netpaid#40)#45 AS paid#46] +Functions [1]: [sum(netpaid#39)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#46] -Condition : (isnotnull(paid#46) AND (cast(paid#46 as decimal(33,8)) > cast(Subquery scalar-subquery#47, [id=#48] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] +Condition : (isnotnull(paid#42) AND (cast(paid#42 as decimal(33,8)) > cast(Subquery scalar-subquery#43, [id=#44] as decimal(33,8)))) + +(46) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#31, c_first_name#30, s_store_name#11, paid#42] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#47, [id=#48] -* HashAggregate (77) -+- * CometColumnarToRow (76) - +- CometColumnarExchange (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * CometColumnarToRow (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * Project (69) - +- * BroadcastHashJoin Inner BuildRight (68) - :- * CometColumnarToRow (66) - : +- CometProject (65) - : +- CometBroadcastHashJoin (64) - : :- CometProject (62) - : : +- CometBroadcastHashJoin (61) - : : :- CometProject (56) - : : : +- CometBroadcastHashJoin (55) - : : : :- CometProject (53) - : : : : +- CometSortMergeJoin (52) - : : : : :- CometSort (49) - : : : : : +- ReusedExchange (48) - : : : : +- CometSort (51) - : : : : +- ReusedExchange (50) - : : : +- ReusedExchange (54) - : : +- CometBroadcastExchange (60) - : : +- CometProject (59) - : : +- CometFilter (58) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (57) - : +- ReusedExchange (63) - +- ReusedExchange (67) - - -(48) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] - -(49) CometSort -Input [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53], [ss_ticket_number#52 ASC NULLS FIRST, ss_item_sk#49 ASC NULLS FIRST] - -(50) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#54, sr_ticket_number#55] - -(51) CometSort -Input [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [sr_item_sk#54, sr_ticket_number#55], [sr_ticket_number#55 ASC NULLS FIRST, sr_item_sk#54 ASC NULLS FIRST] - -(52) CometSortMergeJoin -Left output [5]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53] -Right output [2]: [sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_ticket_number#52, ss_item_sk#49], [sr_ticket_number#55, sr_item_sk#54], Inner - -(53) CometProject -Input [7]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_ticket_number#52, ss_net_paid#53, sr_item_sk#54, sr_ticket_number#55] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53], [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] - -(54) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] - -(55) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53] -Right output [4]: [s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_store_sk#51], [s_store_sk#56], Inner, BuildRight - -(56) CometProject -Input [8]: [ss_item_sk#49, ss_customer_sk#50, ss_store_sk#51, ss_net_paid#53, s_store_sk#56, s_store_name#57, s_state#58, s_zip#59] -Arguments: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59], [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] - -(57) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#43, [id=#44] +* CometColumnarToRow (75) ++- CometHashAggregate (74) + +- CometExchange (73) + +- CometHashAggregate (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometBroadcastHashJoin (63) + : :- CometProject (61) + : : +- CometBroadcastHashJoin (60) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometProject (52) + : : : : +- CometSortMergeJoin (51) + : : : : :- CometSort (48) + : : : : : +- ReusedExchange (47) + : : : : +- CometSort (50) + : : : : +- ReusedExchange (49) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (56) + : +- ReusedExchange (62) + +- ReusedExchange (66) + + +(47) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] + +(48) CometSort +Input [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49], [ss_ticket_number#48 ASC NULLS FIRST, ss_item_sk#45 ASC NULLS FIRST] + +(49) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#50, sr_ticket_number#51] + +(50) CometSort +Input [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [sr_item_sk#50, sr_ticket_number#51], [sr_ticket_number#51 ASC NULLS FIRST, sr_item_sk#50 ASC NULLS FIRST] + +(51) CometSortMergeJoin +Left output [5]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49] +Right output [2]: [sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_ticket_number#48, ss_item_sk#45], [sr_ticket_number#51, sr_item_sk#50], Inner + +(52) CometProject +Input [7]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_ticket_number#48, ss_net_paid#49, sr_item_sk#50, sr_ticket_number#51] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49], [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] + +(53) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] + +(54) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49] +Right output [4]: [s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_store_sk#47], [s_store_sk#52], Inner, BuildRight + +(55) CometProject +Input [8]: [ss_item_sk#45, ss_customer_sk#46, ss_store_sk#47, ss_net_paid#49, s_store_sk#52, s_store_name#53, s_state#54, s_zip#55] +Arguments: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55], [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] + +(56) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(58) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(57) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(59) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [i_item_sk#60, i_current_price#61, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#62, 20)) AS i_size#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#63, 20)) AS i_color#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#64, 10)) AS i_units#68, i_manager_id#65] +(58) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [i_item_sk#56, i_current_price#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#58, 20)) AS i_size#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#59, 20)) AS i_color#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#60, 10)) AS i_units#64, i_manager_id#61] -(60) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(59) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(61) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_item_sk#49], [i_item_sk#60], Inner, BuildRight +(60) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_item_sk#45], [i_item_sk#56], Inner, BuildRight -(62) CometProject -Input [12]: [ss_item_sk#49, ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_item_sk#60, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Arguments: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65], [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] +(61) CometProject +Input [12]: [ss_item_sk#45, ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_item_sk#56, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Arguments: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61], [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] -(63) ReusedExchange [Reuses operator id: 28] -Output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] +(62) ReusedExchange [Reuses operator id: 28] +Output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] -(64) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65] -Right output [4]: [c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_customer_sk#50], [c_customer_sk#69], Inner, BuildRight +(63) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61] +Right output [4]: [c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_customer_sk#46], [c_customer_sk#65], Inner, BuildRight -(65) CometProject -Input [14]: [ss_customer_sk#50, ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_customer_sk#69, c_first_name#70, c_last_name#71, c_birth_country#72] -Arguments: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72], [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(64) CometProject +Input [14]: [ss_customer_sk#46, ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_customer_sk#65, c_first_name#66, c_last_name#67, c_birth_country#68] +Arguments: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68], [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(66) CometColumnarToRow [codegen id : 2] -Input [12]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72] +(65) CometColumnarToRow [codegen id : 2] +Input [12]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68] -(67) ReusedExchange [Reuses operator id: 36] -Output [3]: [ca_state#73, ca_zip#74, ca_country#75] +(66) ReusedExchange [Reuses operator id: 36] +Output [3]: [ca_state#69, ca_zip#70, ca_country#71] -(68) BroadcastHashJoin [codegen id : 2] -Left keys [2]: [c_birth_country#72, s_zip#59] -Right keys [2]: [upper(ca_country#75), ca_zip#74] +(67) BroadcastHashJoin [codegen id : 2] +Left keys [2]: [c_birth_country#68, s_zip#55] +Right keys [2]: [upper(ca_country#71), ca_zip#70] Join type: Inner Join condition: None -(69) Project [codegen id : 2] -Output [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Input [15]: [ss_net_paid#53, s_store_name#57, s_state#58, s_zip#59, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, c_birth_country#72, ca_state#73, ca_zip#74, ca_country#75] - -(70) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#53, s_store_name#57, s_state#58, i_current_price#61, i_size#66, i_color#67, i_units#68, i_manager_id#65, c_first_name#70, c_last_name#71, ca_state#73] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum#76] -Results [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(71) CometColumnarExchange -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Arguments: hashpartitioning(c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(72) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] - -(73) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66, sum#77] -Keys [10]: [c_last_name#71, c_first_name#70, s_store_name#57, ca_state#73, s_state#58, i_color#67, i_current_price#61, i_manager_id#65, i_units#68, i_size#66] -Functions [1]: [sum(UnscaledValue(ss_net_paid#53))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#53))#39] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#53))#39,17,2) AS netpaid#78] - -(74) HashAggregate [codegen id : 3] -Input [1]: [netpaid#78] -Keys: [] -Functions [1]: [partial_avg(netpaid#78)] -Aggregate Attributes [2]: [sum#79, count#80] -Results [2]: [sum#81, count#82] +(68) Project [codegen id : 2] +Output [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Input [15]: [ss_net_paid#49, s_store_name#53, s_state#54, s_zip#55, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, c_birth_country#68, ca_state#69, ca_zip#70, ca_country#71] -(75) CometColumnarExchange -Input [2]: [sum#81, count#82] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(69) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#49, s_store_name#53, s_state#54, i_current_price#57, i_size#62, i_color#63, i_units#64, i_manager_id#61, c_first_name#66, c_last_name#67, ca_state#69] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#49))] +Aggregate Attributes [1]: [sum#72] +Results [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] -(76) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#81, count#82] +(70) CometColumnarExchange +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Arguments: hashpartitioning(c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(77) HashAggregate [codegen id : 4] -Input [2]: [sum#81, count#82] +(71) CometHashAggregate +Input [11]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62, sum#73] +Keys [10]: [c_last_name#67, c_first_name#66, s_store_name#53, ca_state#69, s_state#54, i_color#63, i_current_price#57, i_manager_id#61, i_units#64, i_size#62] +Functions [1]: [sum(UnscaledValue(ss_net_paid#49))] + +(72) CometHashAggregate +Input [1]: [netpaid#74] Keys: [] -Functions [1]: [avg(netpaid#78)] -Aggregate Attributes [1]: [avg(netpaid#78)#83] -Results [1]: [(0.05 * avg(netpaid#78)#83) AS (0.05 * avg(netpaid))#84] +Functions [1]: [partial_avg(netpaid#74)] + +(73) CometExchange +Input [2]: [sum#75, count#76] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(74) CometHashAggregate +Input [2]: [sum#75, count#76] +Keys: [] +Functions [1]: [avg(netpaid#74)] + +(75) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#77] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/extended.txt index 8777e81a37..bd6cb57d11 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/extended.txt @@ -1,96 +1,94 @@ -Filter -: +- Subquery -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- HashAggregate -: +- CometColumnarToRow -: +- CometColumnarExchange -: +- HashAggregate -: +- Project -: +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] -: :- CometColumnarToRow -: : +- CometProject -: : +- CometBroadcastHashJoin -: : :- CometProject -: : : +- CometBroadcastHashJoin -: : : :- CometProject -: : : : +- CometBroadcastHashJoin -: : : : :- CometProject -: : : : : +- CometSortMergeJoin -: : : : : :- CometSort -: : : : : : +- CometExchange -: : : : : : +- CometProject -: : : : : : +- CometFilter -: : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -: : : : : +- CometSort -: : : : : +- CometExchange -: : : : : +- CometProject -: : : : : +- CometFilter -: : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns -: : : : +- CometBroadcastExchange -: : : : +- CometProject -: : : : +- CometFilter -: : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store -: : : +- CometBroadcastExchange -: : : +- CometProject -: : : +- CometFilter -: : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -: : +- CometBroadcastExchange -: : +- CometProject -: : +- CometFilter -: : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -: +- BroadcastExchange -: +- CometColumnarToRow -: +- CometProject -: +- CometFilter -: +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address +CometColumnarToRow ++- CometFilter + : +- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 70 out of 86 eligible operators (81%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 77 out of 86 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/simplified.txt index 440f477d0f..341f5b6d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q24b/simplified.txt @@ -1,94 +1,88 @@ -WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #9 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #4 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #9 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #10 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow InputAdapter - ReusedExchange [ca_state,ca_zip,ca_country] #8 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #3 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #4 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #11 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + InputAdapter + ReusedExchange [ca_state,ca_zip,ca_country] #8 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #2 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_birth_country,s_zip,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #3 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #4 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #3 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #4 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #5 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #6 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name,c_birth_country] #7 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] - CometFilter [ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] + CometProject [ca_state,ca_zip] [ca_state,ca_zip,ca_country] + CometFilter [ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/explain.txt index 36bfea5046..25c86bd250 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum# Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Arguments: hashpartitioning(i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, sum#32, sum#33, sum#34] Keys [4]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23] Functions [3]: [sum(UnscaledValue(ss_net_profit#5)), sum(UnscaledValue(sr_net_loss#11)), sum(UnscaledValue(cs_net_profit#16))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_net_profit#5))#35, sum(UnscaledValue(sr_net_loss#11))#36, sum(UnscaledValue(cs_net_profit#16))#37] -Results [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#5))#35,17,2) AS store_sales_profit#38, MakeDecimal(sum(UnscaledValue(sr_net_loss#11))#36,17,2) AS store_returns_loss#39, MakeDecimal(sum(UnscaledValue(cs_net_profit#16))#37,17,2) AS catalog_sales_profit#40] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] -Arguments: 100, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#38, store_returns_loss#39, catalog_sales_profit#40] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#28 ASC NULLS FIRST,i_item_desc#27 ASC NULLS FIRST,s_store_id#24 ASC NULLS FIRST,s_store_name#23 ASC NULLS FIRST], output=[i_item_id#28,i_item_desc#27,s_store_id#24,s_store_name#23,store_sales_profit#35,store_returns_loss#36,catalog_sales_profit#37]), [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37], 100, 0, [i_item_id#28 ASC NULLS FIRST, i_item_desc#27 ASC NULLS FIRST, s_store_id#24 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST], [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#28, i_item_desc#27, s_store_id#24, s_store_name#23, store_sales_profit#35, store_returns_loss#36, catalog_sales_profit#37] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#41, d_moy#42] +Output [3]: [d_date_sk#18, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,4), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 4)) AND (d_year#41 = 2001)) AND isnotnull(d_date_sk#18)) +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 4)) AND (d_year#38 = 2001)) AND isnotnull(d_date_sk#18)) (46) CometProject -Input [3]: [d_date_sk#18, d_year#41, d_moy#42] +Input [3]: [d_date_sk#18, d_year#38, d_moy#39] Arguments: [d_date_sk#18], [d_date_sk#18] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#43, d_moy#44] +Output [3]: [d_date_sk#19, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,10), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] -Condition : (((((isnotnull(d_moy#44) AND isnotnull(d_year#43)) AND (d_moy#44 >= 4)) AND (d_moy#44 <= 10)) AND (d_year#43 = 2001)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] +Condition : (((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 >= 4)) AND (d_moy#41 <= 10)) AND (d_year#40 = 2001)) AND isnotnull(d_date_sk#19)) (51) CometProject -Input [3]: [d_date_sk#19, d_year#43, d_moy#44] +Input [3]: [d_date_sk#19, d_year#40, d_moy#41] Arguments: [d_date_sk#19], [d_date_sk#19] (52) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/extended.txt index 26e924fd7e..9027337fab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 22 out of 57 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 57 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/simplified.txt index 288561a740..26085c6da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q25.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit)),store_sales_profit,store_returns_loss,catalog_sales_profit,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_profit,store_returns_loss,catalog_sales_profit,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(sr_net_loss)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_net_profit,sr_net_loss,cs_net_profit] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/explain.txt index 5e1cd8b012..05f2c3d8dd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(cs_quantity#4), avg(UnscaledValue(cs_list_price#5)), avg(UnscaledValue(cs_coupon_amt#7)), avg(UnscaledValue(cs_sales_price#6))] -Aggregate Attributes [4]: [avg(cs_quantity#4)#37, avg(UnscaledValue(cs_list_price#5))#38, avg(UnscaledValue(cs_coupon_amt#7))#39, avg(UnscaledValue(cs_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(cs_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(cs_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(cs_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(cs_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/extended.txt index 3b9d40795e..216a543cb5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/simplified.txt index 7eb9c67611..d18819295b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q26.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(cs_quantity),avg(UnscaledValue(cs_list_price)),avg(UnscaledValue(cs_coupon_amt)),avg(UnscaledValue(cs_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/explain.txt index f3815e677f..99eaa4cbdd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (33) -+- * HashAggregate (32) - +- * CometColumnarToRow (31) +* CometColumnarToRow (33) ++- CometTakeOrderedAndProject (32) + +- CometHashAggregate (31) +- CometColumnarExchange (30) +- * HashAggregate (29) +- * Expand (28) @@ -173,19 +173,17 @@ Results [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Arguments: hashpartitioning(i_item_id#21, s_state#22, spark_grouping_id#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(31) CometColumnarToRow [codegen id : 6] -Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] - -(32) HashAggregate [codegen id : 6] +(31) CometHashAggregate Input [11]: [i_item_id#21, s_state#22, spark_grouping_id#23, sum#32, count#33, sum#34, count#35, sum#36, count#37, sum#38, count#39] Keys [3]: [i_item_id#21, s_state#22, spark_grouping_id#23] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#40, avg(UnscaledValue(ss_list_price#5))#41, avg(UnscaledValue(ss_coupon_amt#7))#42, avg(UnscaledValue(ss_sales_price#6))#43] -Results [7]: [i_item_id#21, s_state#22, cast((shiftright(spark_grouping_id#23, 0) & 1) as tinyint) AS g_state#44, avg(ss_quantity#4)#40 AS agg1#45, cast((avg(UnscaledValue(ss_list_price#5))#41 / 100.0) as decimal(11,6)) AS agg2#46, cast((avg(UnscaledValue(ss_coupon_amt#7))#42 / 100.0) as decimal(11,6)) AS agg3#47, cast((avg(UnscaledValue(ss_sales_price#6))#43 / 100.0) as decimal(11,6)) AS agg4#48] -(33) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#44, agg1#45, agg2#46, agg3#47, agg4#48] +(32) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#40,agg1#41,agg2#42,agg3#43,agg4#44]), [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] + +(33) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#21, s_state#22, g_state#40, agg1#41, agg2#42, agg3#43, agg4#44] ===== Subqueries ===== @@ -198,18 +196,18 @@ BroadcastExchange (38) (34) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#49] +Output [2]: [d_date_sk#14, d_year#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct (35) CometFilter -Input [2]: [d_date_sk#14, d_year#49] -Condition : ((isnotnull(d_year#49) AND (d_year#49 = 2002)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#45] +Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2002)) AND isnotnull(d_date_sk#14)) (36) CometProject -Input [2]: [d_date_sk#14, d_year#49] +Input [2]: [d_date_sk#14, d_year#45] Arguments: [d_date_sk#14], [d_date_sk#14] (37) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/extended.txt index a4946e4771..798ce46d67 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -42,4 +42,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 16 out of 36 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 36 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/simplified.txt index dcb4953707..3a5aa3455b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q27.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,spark_grouping_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,spark_grouping_id,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id,s_state,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,spark_grouping_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/explain.txt index f8b79c2e07..888f56a6fe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -231,19 +231,17 @@ Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum# Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Arguments: hashpartitioning(i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 9] -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] - -(42) HashAggregate [codegen id : 9] +(41) CometHashAggregate Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum#33, sum#34, sum#35] Keys [4]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24] Functions [3]: [sum(ss_quantity#5), sum(sr_return_quantity#11), sum(cs_quantity#16)] -Aggregate Attributes [3]: [sum(ss_quantity#5)#36, sum(sr_return_quantity#11)#37, sum(cs_quantity#16)#38] -Results [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, sum(ss_quantity#5)#36 AS store_sales_quantity#39, sum(sr_return_quantity#11)#37 AS store_returns_quantity#40, sum(cs_quantity#16)#38 AS catalog_sales_quantity#41] -(43) TakeOrderedAndProject -Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] -Arguments: 100, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#39, store_returns_quantity#40, catalog_sales_quantity#41] +(42) CometTakeOrderedAndProject +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#29 ASC NULLS FIRST,i_item_desc#28 ASC NULLS FIRST,s_store_id#25 ASC NULLS FIRST,s_store_name#24 ASC NULLS FIRST], output=[i_item_id#29,i_item_desc#28,s_store_id#25,s_store_name#24,store_sales_quantity#36,store_returns_quantity#37,catalog_sales_quantity#38]), [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38], 100, 0, [i_item_id#29 ASC NULLS FIRST, i_item_desc#28 ASC NULLS FIRST, s_store_id#25 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST], [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] + +(43) CometColumnarToRow [codegen id : 9] +Input [7]: [i_item_id#29, i_item_desc#28, s_store_id#25, s_store_name#24, store_sales_quantity#36, store_returns_quantity#37, catalog_sales_quantity#38] ===== Subqueries ===== @@ -256,18 +254,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#19, d_year#42, d_moy#43] +Output [3]: [d_date_sk#19, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,9), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] -Condition : ((((isnotnull(d_moy#43) AND isnotnull(d_year#42)) AND (d_moy#43 = 9)) AND (d_year#42 = 1999)) AND isnotnull(d_date_sk#19)) +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_moy#40) AND isnotnull(d_year#39)) AND (d_moy#40 = 9)) AND (d_year#39 = 1999)) AND isnotnull(d_date_sk#19)) (46) CometProject -Input [3]: [d_date_sk#19, d_year#42, d_moy#43] +Input [3]: [d_date_sk#19, d_year#39, d_moy#40] Arguments: [d_date_sk#19], [d_date_sk#19] (47) CometColumnarToRow [codegen id : 1] @@ -286,18 +284,18 @@ BroadcastExchange (53) (49) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#20, d_year#44, d_moy#45] +Output [3]: [d_date_sk#20, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), GreaterThanOrEqual(d_moy,9), LessThanOrEqual(d_moy,12), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct (50) CometFilter -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] -Condition : (((((isnotnull(d_moy#45) AND isnotnull(d_year#44)) AND (d_moy#45 >= 9)) AND (d_moy#45 <= 12)) AND (d_year#44 = 1999)) AND isnotnull(d_date_sk#20)) +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] +Condition : (((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 >= 9)) AND (d_moy#42 <= 12)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#20)) (51) CometProject -Input [3]: [d_date_sk#20, d_year#44, d_moy#45] +Input [3]: [d_date_sk#20, d_year#41, d_moy#42] Arguments: [d_date_sk#20], [d_date_sk#20] (52) CometColumnarToRow [codegen id : 1] @@ -316,18 +314,18 @@ BroadcastExchange (58) (54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#21, d_year#46] +Output [2]: [d_date_sk#21, d_year#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct (55) CometFilter -Input [2]: [d_date_sk#21, d_year#46] -Condition : (d_year#46 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) +Input [2]: [d_date_sk#21, d_year#43] +Condition : (d_year#43 IN (1999,2000,2001) AND isnotnull(d_date_sk#21)) (56) CometProject -Input [2]: [d_date_sk#21, d_year#46] +Input [2]: [d_date_sk#21, d_year#43] Arguments: [d_date_sk#21], [d_date_sk#21] (57) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/extended.txt index dacaab515f..43564057a5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -72,4 +72,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 25 out of 61 eligible operators (40%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 27 out of 61 eligible operators (44%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/simplified.txt index 54bdbeeb5a..d60e5604ed 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q29.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] - WholeStageCodegen (9) - HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,sum,sum,sum] [sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity),store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity] + CometHashAggregate [sum,sum,sum] [i_item_id,i_item_desc,s_store_id,s_store_name,store_sales_quantity,store_returns_quantity,catalog_sales_quantity,sum(ss_quantity),sum(sr_return_quantity),sum(cs_quantity)] CometColumnarExchange [i_item_id,i_item_desc,s_store_id,s_store_name] #1 WholeStageCodegen (8) HashAggregate [i_item_id,i_item_desc,s_store_id,s_store_name,ss_quantity,sr_return_quantity,cs_quantity] [sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/explain.txt index 87bbeb050a..1364970145 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.web_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.web_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.web_returns @@ -70,7 +66,7 @@ Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, Input [4]: [wr_returning_customer_sk#1, wr_returning_addr_sk#2, wr_return_amt#3, wr_returned_date_sk#4] Condition : (isnotnull(wr_returning_addr_sk#2) AND isnotnull(wr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,221 +122,198 @@ Results [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(wr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [wr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [wr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(wr_return_amt#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#3))#12] -Results [3]: [wr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(wr_return_amt#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] +(18) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#19), dynamicpruningexpression(wr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#18), dynamicpruningexpression(wr_returned_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] +(19) ColumnarToRow [codegen id : 6] +Input [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] -(21) Filter [codegen id : 6] -Input [4]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19] -Condition : isnotnull(wr_returning_addr_sk#17) +(20) Filter [codegen id : 6] +Input [4]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18] +Condition : isnotnull(wr_returning_addr_sk#16) -(22) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#20] +(21) ReusedExchange [Reuses operator id: 55] +Output [1]: [d_date_sk#19] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [wr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [wr_returned_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18] -Input [5]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, wr_returned_date_sk#19, d_date_sk#20] +(23) Project [codegen id : 6] +Output [3]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17] +Input [5]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, wr_returned_date_sk#18, d_date_sk#19] -(25) ReusedExchange [Reuses operator id: 11] -Output [2]: [ca_address_sk#21, ca_state#22] +(24) ReusedExchange [Reuses operator id: 11] +Output [2]: [ca_address_sk#20, ca_state#21] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [wr_returning_addr_sk#17] -Right keys [1]: [ca_address_sk#21] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [wr_returning_addr_sk#16] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [3]: [wr_returning_customer_sk#16, wr_return_amt#18, ca_state#22] -Input [5]: [wr_returning_customer_sk#16, wr_returning_addr_sk#17, wr_return_amt#18, ca_address_sk#21, ca_state#22] - -(28) HashAggregate [codegen id : 6] -Input [3]: [wr_returning_customer_sk#16, wr_return_amt#18, ca_state#22] -Keys [2]: [wr_returning_customer_sk#16, ca_state#22] -Functions [1]: [partial_sum(UnscaledValue(wr_return_amt#18))] -Aggregate Attributes [1]: [sum#23] -Results [3]: [wr_returning_customer_sk#16, ca_state#22, sum#24] - -(29) CometColumnarExchange -Input [3]: [wr_returning_customer_sk#16, ca_state#22, sum#24] -Arguments: hashpartitioning(wr_returning_customer_sk#16, ca_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [wr_returning_customer_sk#16, ca_state#22, sum#24] - -(31) HashAggregate [codegen id : 7] -Input [3]: [wr_returning_customer_sk#16, ca_state#22, sum#24] -Keys [2]: [wr_returning_customer_sk#16, ca_state#22] -Functions [1]: [sum(UnscaledValue(wr_return_amt#18))] -Aggregate Attributes [1]: [sum(UnscaledValue(wr_return_amt#18))#12] -Results [2]: [ca_state#22 AS ctr_state#25, MakeDecimal(sum(UnscaledValue(wr_return_amt#18))#12,17,2) AS ctr_total_return#26] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#25, ctr_total_return#26] -Keys [1]: [ctr_state#25] -Functions [1]: [partial_avg(ctr_total_return#26)] -Aggregate Attributes [2]: [sum#27, count#28] -Results [3]: [ctr_state#25, sum#29, count#30] - -(33) CometColumnarExchange -Input [3]: [ctr_state#25, sum#29, count#30] -Arguments: hashpartitioning(ctr_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#25, sum#29, count#30] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#25, sum#29, count#30] -Keys [1]: [ctr_state#25] -Functions [1]: [avg(ctr_total_return#26)] -Aggregate Attributes [1]: [avg(ctr_total_return#26)#31] -Results [2]: [(avg(ctr_total_return#26)#31 * 1.2) AS (avg(ctr_total_return) * 1.2)#32, ctr_state#25] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#32, ctr_state#25] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#32) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#32, ctr_state#25] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#25] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#32) - -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#32, ctr_state#25] - -(40) CometNativeScan parquet spark_catalog.default.customer -Output [14]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#44, c_email_address#45, c_last_review_date#46] +(26) Project [codegen id : 6] +Output [3]: [wr_returning_customer_sk#15, wr_return_amt#17, ca_state#21] +Input [5]: [wr_returning_customer_sk#15, wr_returning_addr_sk#16, wr_return_amt#17, ca_address_sk#20, ca_state#21] + +(27) HashAggregate [codegen id : 6] +Input [3]: [wr_returning_customer_sk#15, wr_return_amt#17, ca_state#21] +Keys [2]: [wr_returning_customer_sk#15, ca_state#21] +Functions [1]: [partial_sum(UnscaledValue(wr_return_amt#17))] +Aggregate Attributes [1]: [sum#22] +Results [3]: [wr_returning_customer_sk#15, ca_state#21, sum#23] + +(28) CometColumnarExchange +Input [3]: [wr_returning_customer_sk#15, ca_state#21, sum#23] +Arguments: hashpartitioning(wr_returning_customer_sk#15, ca_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [3]: [wr_returning_customer_sk#15, ca_state#21, sum#23] +Keys [2]: [wr_returning_customer_sk#15, ca_state#21] +Functions [1]: [sum(UnscaledValue(wr_return_amt#17))] + +(30) CometHashAggregate +Input [2]: [ctr_state#24, ctr_total_return#25] +Keys [1]: [ctr_state#24] +Functions [1]: [partial_avg(ctr_total_return#25)] + +(31) CometExchange +Input [3]: [ctr_state#24, sum#26, count#27] +Arguments: hashpartitioning(ctr_state#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#24, sum#26, count#27] +Keys [1]: [ctr_state#24] +Functions [1]: [avg(ctr_total_return#25)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#28) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [ctr_state#13], [ctr_state#24], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#28), BuildRight + +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [14]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#40, c_email_address#41, c_last_review_date#42] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [14]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#44, c_email_address#45, c_last_review_date#46] -Condition : (isnotnull(c_customer_sk#33) AND isnotnull(c_current_addr_sk#35)) - -(42) CometProject -Input [14]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38, c_preferred_cust_flag#39, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#44, c_email_address#45, c_last_review_date#46] -Arguments: [c_customer_sk#33, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46], [c_customer_sk#33, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#34, 16)) AS c_customer_id#47, c_current_addr_sk#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#36, 10)) AS c_salutation#48, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#37, 20)) AS c_first_name#49, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#38, 30)) AS c_last_name#50, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#39, 1)) AS c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#44, 13)) AS c_login#52, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#45, 50)) AS c_email_address#53, c_last_review_date#46] +(38) CometFilter +Input [14]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#40, c_email_address#41, c_last_review_date#42] +Condition : (isnotnull(c_customer_sk#29) AND isnotnull(c_current_addr_sk#31)) -(43) CometColumnarToRow [codegen id : 9] -Input [14]: [c_customer_sk#33, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46] +(39) CometProject +Input [14]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#40, c_email_address#41, c_last_review_date#42] +Arguments: [c_customer_sk#29, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42], [c_customer_sk#29, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#30, 16)) AS c_customer_id#43, c_current_addr_sk#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#32, 10)) AS c_salutation#44, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#33, 20)) AS c_first_name#45, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#34, 30)) AS c_last_name#46, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#35, 1)) AS c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#40, 13)) AS c_login#48, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#41, 50)) AS c_email_address#49, c_last_review_date#42] -(44) BroadcastExchange -Input [14]: [c_customer_sk#33, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [14]: [c_customer_sk#29, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] +Arguments: [c_customer_sk#29, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#33] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [14]: [c_customer_sk#29, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] +Arguments: [ctr_customer_sk#12], [c_customer_sk#29], Inner, BuildRight -(46) Project [codegen id : 11] -Output [14]: [ctr_total_return#15, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46] -Input [16]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#33, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46] +(42) CometProject +Input [16]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#29, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] +Arguments: [ctr_total_return#14, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42], [ctr_total_return#14, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#54, ca_state#55] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#50, ca_state#51] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_state), IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [2]: [ca_address_sk#54, ca_state#55] -Condition : ((isnotnull(ca_state#55) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#55, 2)) = GA)) AND isnotnull(ca_address_sk#54)) +(44) CometFilter +Input [2]: [ca_address_sk#50, ca_state#51] +Condition : ((isnotnull(ca_state#51) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#51, 2)) = GA)) AND isnotnull(ca_address_sk#50)) -(49) CometProject -Input [2]: [ca_address_sk#54, ca_state#55] -Arguments: [ca_address_sk#54], [ca_address_sk#54] +(45) CometProject +Input [2]: [ca_address_sk#50, ca_state#51] +Arguments: [ca_address_sk#50], [ca_address_sk#50] -(50) CometColumnarToRow [codegen id : 10] -Input [1]: [ca_address_sk#54] +(46) CometBroadcastExchange +Input [1]: [ca_address_sk#50] +Arguments: [ca_address_sk#50] -(51) BroadcastExchange -Input [1]: [ca_address_sk#54] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [14]: [ctr_total_return#14, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42] +Right output [1]: [ca_address_sk#50] +Arguments: [c_current_addr_sk#31], [ca_address_sk#50], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#35] -Right keys [1]: [ca_address_sk#54] -Join type: Inner -Join condition: None +(48) CometProject +Input [15]: [ctr_total_return#14, c_customer_id#43, c_current_addr_sk#31, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ca_address_sk#50] +Arguments: [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14], [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [13]: [c_customer_id#47, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46, ctr_total_return#15] -Input [15]: [ctr_total_return#15, c_customer_id#47, c_current_addr_sk#35, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46, ca_address_sk#54] +(49) CometTakeOrderedAndProject +Input [13]: [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#43 ASC NULLS FIRST,c_salutation#44 ASC NULLS FIRST,c_first_name#45 ASC NULLS FIRST,c_last_name#46 ASC NULLS FIRST,c_preferred_cust_flag#47 ASC NULLS FIRST,c_birth_day#36 ASC NULLS FIRST,c_birth_month#37 ASC NULLS FIRST,c_birth_year#38 ASC NULLS FIRST,c_birth_country#39 ASC NULLS FIRST,c_login#48 ASC NULLS FIRST,c_email_address#49 ASC NULLS FIRST,c_last_review_date#42 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#43,c_salutation#44,c_first_name#45,c_last_name#46,c_preferred_cust_flag#47,c_birth_day#36,c_birth_month#37,c_birth_year#38,c_birth_country#39,c_login#48,c_email_address#49,c_last_review_date#42,ctr_total_return#14]), [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14], 100, 0, [c_customer_id#43 ASC NULLS FIRST, c_salutation#44 ASC NULLS FIRST, c_first_name#45 ASC NULLS FIRST, c_last_name#46 ASC NULLS FIRST, c_preferred_cust_flag#47 ASC NULLS FIRST, c_birth_day#36 ASC NULLS FIRST, c_birth_month#37 ASC NULLS FIRST, c_birth_year#38 ASC NULLS FIRST, c_birth_country#39 ASC NULLS FIRST, c_login#48 ASC NULLS FIRST, c_email_address#49 ASC NULLS FIRST, c_last_review_date#42 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [13]: [c_customer_id#47, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46, ctr_total_return#15] -Arguments: 100, [c_customer_id#47 ASC NULLS FIRST, c_salutation#48 ASC NULLS FIRST, c_first_name#49 ASC NULLS FIRST, c_last_name#50 ASC NULLS FIRST, c_preferred_cust_flag#51 ASC NULLS FIRST, c_birth_day#40 ASC NULLS FIRST, c_birth_month#41 ASC NULLS FIRST, c_birth_year#42 ASC NULLS FIRST, c_birth_country#43 ASC NULLS FIRST, c_login#52 ASC NULLS FIRST, c_email_address#53 ASC NULLS FIRST, c_last_review_date#46 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#47, c_salutation#48, c_first_name#49, c_last_name#50, c_preferred_cust_flag#51, c_birth_day#40, c_birth_month#41, c_birth_year#42, c_birth_country#43, c_login#52, c_email_address#53, c_last_review_date#46, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [13]: [c_customer_id#43, c_salutation#44, c_first_name#45, c_last_name#46, c_preferred_cust_flag#47, c_birth_day#36, c_birth_month#37, c_birth_year#38, c_birth_country#39, c_login#48, c_email_address#49, c_last_review_date#42, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = wr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#56] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#52] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#56] -Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2002)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#52] +Condition : ((isnotnull(d_year#52) AND (d_year#52 = 2002)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#56] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#52] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = wr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = wr_returned_date_sk#18 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/extended.txt index 8373409822..8b414fe2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/simplified.txt index 72b6fbd1ba..d82fa88cfa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q30.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date,ca_address_sk] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,wr_returning_customer_sk,ca_state,sum(UnscaledValue(wr_return_amt))] CometColumnarExchange [wr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_pre CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [wr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(wr_return_amt)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] - Project [wr_returning_customer_sk,wr_return_amt,ca_state] - BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] - Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return)] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [wr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(wr_return_amt))] + CometColumnarExchange [wr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [wr_returning_customer_sk,ca_state,wr_return_amt] [sum,sum] + Project [wr_returning_customer_sk,wr_return_amt,ca_state] + BroadcastHashJoin [wr_returning_addr_sk,ca_address_sk] + Project [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_returning_customer_sk,wr_returning_addr_sk,wr_return_amt,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address,c_last_review_date] + CometBroadcastExchange [ca_address_sk] #8 + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/explain.txt index 9ce8c738e8..5dab9eb583 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/explain.txt @@ -1,101 +1,95 @@ == Physical Plan == -* CometColumnarToRow (97) -+- CometSort (96) - +- CometColumnarExchange (95) - +- * Project (94) - +- * BroadcastHashJoin Inner BuildRight (93) - :- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (47) - : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : :- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * HashAggregate (16) - : : : : : +- * CometColumnarToRow (15) - : : : : : +- CometColumnarExchange (14) - : : : : : +- * HashAggregate (13) - : : : : : +- * Project (12) - : : : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : : : :- * Project (6) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : : +- ReusedExchange (4) - : : : : : +- BroadcastExchange (10) - : : : : : +- * CometColumnarToRow (9) - : : : : : +- CometFilter (8) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : : : +- BroadcastExchange (30) - : : : : +- * HashAggregate (29) - : : : : +- * CometColumnarToRow (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (22) - : : : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : : : :- * Filter (19) - : : : : : : +- * ColumnarToRow (18) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (17) - : : : : : +- ReusedExchange (20) - : : : : +- ReusedExchange (23) - : : : +- BroadcastExchange (45) - : : : +- * HashAggregate (44) - : : : +- * CometColumnarToRow (43) - : : : +- CometColumnarExchange (42) - : : : +- * HashAggregate (41) - : : : +- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (61) - : : +- * HashAggregate (60) - : : +- * CometColumnarToRow (59) - : : +- CometColumnarExchange (58) - : : +- * HashAggregate (57) - : : +- * Project (56) - : : +- * BroadcastHashJoin Inner BuildRight (55) - : : :- * Project (53) - : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : :- * Filter (50) - : : : : +- * ColumnarToRow (49) - : : : : +- Scan parquet spark_catalog.default.web_sales (48) - : : : +- ReusedExchange (51) - : : +- ReusedExchange (54) - : +- BroadcastExchange (76) - : +- * HashAggregate (75) - : +- * CometColumnarToRow (74) - : +- CometColumnarExchange (73) - : +- * HashAggregate (72) - : +- * Project (71) - : +- * BroadcastHashJoin Inner BuildRight (70) - : :- * Project (68) - : : +- * BroadcastHashJoin Inner BuildRight (67) - : : :- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.web_sales (63) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - +- BroadcastExchange (92) - +- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Project (87) - +- * BroadcastHashJoin Inner BuildRight (86) - :- * Project (84) - : +- * BroadcastHashJoin Inner BuildRight (83) - : :- * Filter (81) - : : +- * ColumnarToRow (80) - : : +- Scan parquet spark_catalog.default.web_sales (79) - : +- ReusedExchange (82) - +- ReusedExchange (85) +* CometColumnarToRow (91) ++- CometSort (90) + +- CometExchange (89) + +- CometProject (88) + +- CometBroadcastHashJoin (87) + :- CometProject (73) + : +- CometBroadcastHashJoin (72) + : :- CometBroadcastHashJoin (58) + : : :- CometProject (44) + : : : +- CometBroadcastHashJoin (43) + : : : :- CometBroadcastHashJoin (29) + : : : : :- CometHashAggregate (15) + : : : : : +- CometColumnarExchange (14) + : : : : : +- * HashAggregate (13) + : : : : : +- * Project (12) + : : : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : : : :- * Project (6) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : : +- ReusedExchange (4) + : : : : : +- BroadcastExchange (10) + : : : : : +- * CometColumnarToRow (9) + : : : : : +- CometFilter (8) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : : : +- CometBroadcastExchange (28) + : : : : +- CometHashAggregate (27) + : : : : +- CometColumnarExchange (26) + : : : : +- * HashAggregate (25) + : : : : +- * Project (24) + : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : :- * Project (21) + : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : :- * Filter (18) + : : : : : : +- * ColumnarToRow (17) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (16) + : : : : : +- ReusedExchange (19) + : : : : +- ReusedExchange (22) + : : : +- CometBroadcastExchange (42) + : : : +- CometHashAggregate (41) + : : : +- CometColumnarExchange (40) + : : : +- * HashAggregate (39) + : : : +- * Project (38) + : : : +- * BroadcastHashJoin Inner BuildRight (37) + : : : :- * Project (35) + : : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : : :- * Filter (32) + : : : : : +- * ColumnarToRow (31) + : : : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : : : +- ReusedExchange (33) + : : : +- ReusedExchange (36) + : : +- CometBroadcastExchange (57) + : : +- CometHashAggregate (56) + : : +- CometColumnarExchange (55) + : : +- * HashAggregate (54) + : : +- * Project (53) + : : +- * BroadcastHashJoin Inner BuildRight (52) + : : :- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- ReusedExchange (48) + : : +- ReusedExchange (51) + : +- CometBroadcastExchange (71) + : +- CometHashAggregate (70) + : +- CometColumnarExchange (69) + : +- * HashAggregate (68) + : +- * Project (67) + : +- * BroadcastHashJoin Inner BuildRight (66) + : :- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Filter (61) + : : : +- * ColumnarToRow (60) + : : : +- Scan parquet spark_catalog.default.web_sales (59) + : : +- ReusedExchange (62) + : +- ReusedExchange (65) + +- CometBroadcastExchange (86) + +- CometHashAggregate (85) + +- CometColumnarExchange (84) + +- * HashAggregate (83) + +- * Project (82) + +- * BroadcastHashJoin Inner BuildRight (81) + :- * Project (79) + : +- * BroadcastHashJoin Inner BuildRight (78) + : :- * Filter (76) + : : +- * ColumnarToRow (75) + : : +- Scan parquet spark_catalog.default.web_sales (74) + : +- ReusedExchange (77) + +- ReusedExchange (80) (1) Scan parquet spark_catalog.default.store_sales @@ -113,7 +107,7 @@ Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Input [3]: [ss_addr_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3] Condition : isnotnull(ss_addr_sk#1) -(4) ReusedExchange [Reuses operator id: 101] +(4) ReusedExchange [Reuses operator id: 95] Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] (5) BroadcastHashJoin [codegen id : 3] @@ -165,480 +159,445 @@ Results [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Arguments: hashpartitioning(ca_county#9, d_qoy#7, d_year#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 24] -Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] - -(16) HashAggregate [codegen id : 24] +(15) CometHashAggregate Input [4]: [ca_county#9, d_qoy#7, d_year#6, sum#11] Keys [3]: [ca_county#9, d_qoy#7, d_year#6] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#12] -Results [3]: [ca_county#9, d_year#6, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS store_sales#13] -(17) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(16) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#16), dynamicpruningexpression(ss_sold_date_sk#16 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] +(17) ColumnarToRow [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] -(19) Filter [codegen id : 6] -Input [3]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16] -Condition : isnotnull(ss_addr_sk#14) +(18) Filter [codegen id : 6] +Input [3]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_addr_sk#12) -(20) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(19) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#16] -Right keys [1]: [d_date_sk#18] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [4]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, ss_sold_date_sk#16, d_date_sk#18, d_year#19, d_qoy#20] - -(23) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#21, ca_county#22] +(21) Project [codegen id : 6] +Output [4]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, ss_sold_date_sk#14, d_date_sk#16, d_year#17, d_qoy#18] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_addr_sk#14] -Right keys [1]: [ca_address_sk#21] -Join type: Inner -Join condition: None +(22) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#19, ca_county#20] -(25) Project [codegen id : 6] -Output [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Input [6]: [ss_addr_sk#14, ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_address_sk#21, ca_county#22] - -(26) HashAggregate [codegen id : 6] -Input [4]: [ss_ext_sales_price#15, d_year#19, d_qoy#20, ca_county#22] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#23] -Results [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(27) CometColumnarExchange -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Arguments: hashpartitioning(ca_county#22, d_qoy#20, d_year#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] - -(29) HashAggregate [codegen id : 7] -Input [4]: [ca_county#22, d_qoy#20, d_year#19, sum#24] -Keys [3]: [ca_county#22, d_qoy#20, d_year#19] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#15))#12] -Results [2]: [ca_county#22, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#15))#12,17,2) AS store_sales#25] - -(30) BroadcastExchange -Input [2]: [ca_county#22, store_sales#25] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#22] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_addr_sk#12] +Right keys [1]: [ca_address_sk#19] Join type: Inner Join condition: None -(32) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(24) Project [codegen id : 6] +Output [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Input [6]: [ss_addr_sk#12, ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_address_sk#19, ca_county#20] + +(25) HashAggregate [codegen id : 6] +Input [4]: [ss_ext_sales_price#13, d_year#17, d_qoy#18, ca_county#20] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#13))] +Aggregate Attributes [1]: [sum#21] +Results [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] + +(26) CometColumnarExchange +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Arguments: hashpartitioning(ca_county#20, d_qoy#18, d_year#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [4]: [ca_county#20, d_qoy#18, d_year#17, sum#22] +Keys [3]: [ca_county#20, d_qoy#18, d_year#17] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#13))] + +(28) CometBroadcastExchange +Input [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#20, store_sales#23] + +(29) CometBroadcastHashJoin +Left output [3]: [ca_county#9, d_year#6, store_sales#24] +Right output [2]: [ca_county#20, store_sales#23] +Arguments: [ca_county#9], [ca_county#20], Inner, BuildRight + +(30) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ss_sold_date_sk#27), dynamicpruningexpression(ss_sold_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ss_addr_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +(31) ColumnarToRow [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] -(34) Filter [codegen id : 10] -Input [3]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] -Condition : isnotnull(ss_addr_sk#26) +(32) Filter [codegen id : 9] +Input [3]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27] +Condition : isnotnull(ss_addr_sk#25) -(35) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(33) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_sold_date_sk#28] -Right keys [1]: [d_date_sk#30] +(34) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_sold_date_sk#27] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [4]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30, d_year#31, d_qoy#32] +(35) Project [codegen id : 9] +Output [4]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, ss_sold_date_sk#27, d_date_sk#29, d_year#30, d_qoy#31] -(38) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#33, ca_county#34] +(36) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#32, ca_county#33] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ss_addr_sk#26] -Right keys [1]: [ca_address_sk#33] +(37) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ss_addr_sk#25] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Input [6]: [ss_addr_sk#26, ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_address_sk#33, ca_county#34] - -(41) HashAggregate [codegen id : 10] -Input [4]: [ss_ext_sales_price#27, d_year#31, d_qoy#32, ca_county#34] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum#35] -Results [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(42) CometColumnarExchange -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Arguments: hashpartitioning(ca_county#34, d_qoy#32, d_year#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(43) CometColumnarToRow [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] - -(44) HashAggregate [codegen id : 11] -Input [4]: [ca_county#34, d_qoy#32, d_year#31, sum#36] -Keys [3]: [ca_county#34, d_qoy#32, d_year#31] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#27))#12] -Results [2]: [ca_county#34, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#27))#12,17,2) AS store_sales#37] - -(45) BroadcastExchange -Input [2]: [ca_county#34, store_sales#37] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(46) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#22] -Right keys [1]: [ca_county#34] -Join type: Inner -Join condition: None - -(47) Project [codegen id : 24] -Output [5]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37] -Input [7]: [ca_county#9, d_year#6, store_sales#13, ca_county#22, store_sales#25, ca_county#34, store_sales#37] - -(48) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(38) Project [codegen id : 9] +Output [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Input [6]: [ss_addr_sk#25, ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_address_sk#32, ca_county#33] + +(39) HashAggregate [codegen id : 9] +Input [4]: [ss_ext_sales_price#26, d_year#30, d_qoy#31, ca_county#33] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#26))] +Aggregate Attributes [1]: [sum#34] +Results [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] + +(40) CometColumnarExchange +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Arguments: hashpartitioning(ca_county#33, d_qoy#31, d_year#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(41) CometHashAggregate +Input [4]: [ca_county#33, d_qoy#31, d_year#30, sum#35] +Keys [3]: [ca_county#33, d_qoy#31, d_year#30] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#26))] + +(42) CometBroadcastExchange +Input [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#33, store_sales#36] + +(43) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23] +Right output [2]: [ca_county#33, store_sales#36] +Arguments: [ca_county#20], [ca_county#33], Inner, BuildRight + +(44) CometProject +Input [7]: [ca_county#9, d_year#6, store_sales#24, ca_county#20, store_sales#23, ca_county#33, store_sales#36] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] + +(45) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#40), dynamicpruningexpression(ws_sold_date_sk#40 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ws_sold_date_sk#39), dynamicpruningexpression(ws_sold_date_sk#39 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(49) ColumnarToRow [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] +(46) ColumnarToRow [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] -(50) Filter [codegen id : 14] -Input [3]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40] -Condition : isnotnull(ws_bill_addr_sk#38) +(47) Filter [codegen id : 12] +Input [3]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39] +Condition : isnotnull(ws_bill_addr_sk#37) -(51) ReusedExchange [Reuses operator id: 101] -Output [3]: [d_date_sk#41, d_year#42, d_qoy#43] +(48) ReusedExchange [Reuses operator id: 95] +Output [3]: [d_date_sk#40, d_year#41, d_qoy#42] -(52) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#40] -Right keys [1]: [d_date_sk#41] +(49) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#39] +Right keys [1]: [d_date_sk#40] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [4]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, ws_sold_date_sk#40, d_date_sk#41, d_year#42, d_qoy#43] +(50) Project [codegen id : 12] +Output [4]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, ws_sold_date_sk#39, d_date_sk#40, d_year#41, d_qoy#42] -(54) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#44, ca_county#45] +(51) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#43, ca_county#44] -(55) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#38] -Right keys [1]: [ca_address_sk#44] +(52) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#37] +Right keys [1]: [ca_address_sk#43] Join type: Inner Join condition: None -(56) Project [codegen id : 14] -Output [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Input [6]: [ws_bill_addr_sk#38, ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_address_sk#44, ca_county#45] - -(57) HashAggregate [codegen id : 14] -Input [4]: [ws_ext_sales_price#39, d_year#42, d_qoy#43, ca_county#45] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum#46] -Results [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(58) CometColumnarExchange -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Arguments: hashpartitioning(ca_county#45, d_qoy#43, d_year#42, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(59) CometColumnarToRow [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] - -(60) HashAggregate [codegen id : 15] -Input [4]: [ca_county#45, d_qoy#43, d_year#42, sum#47] -Keys [3]: [ca_county#45, d_qoy#43, d_year#42] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#39))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#39))#48] -Results [2]: [ca_county#45, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#39))#48,17,2) AS web_sales#49] - -(61) BroadcastExchange -Input [2]: [ca_county#45, web_sales#49] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(62) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#9] -Right keys [1]: [ca_county#45] -Join type: Inner -Join condition: None - -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(53) Project [codegen id : 12] +Output [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Input [6]: [ws_bill_addr_sk#37, ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_address_sk#43, ca_county#44] + +(54) HashAggregate [codegen id : 12] +Input [4]: [ws_ext_sales_price#38, d_year#41, d_qoy#42, ca_county#44] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#38))] +Aggregate Attributes [1]: [sum#45] +Results [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] + +(55) CometColumnarExchange +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Arguments: hashpartitioning(ca_county#44, d_qoy#42, d_year#41, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(56) CometHashAggregate +Input [4]: [ca_county#44, d_qoy#42, d_year#41, sum#46] +Keys [3]: [ca_county#44, d_qoy#42, d_year#41] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#38))] + +(57) CometBroadcastExchange +Input [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#44, web_sales#47] + +(58) CometBroadcastHashJoin +Left output [5]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36] +Right output [2]: [ca_county#44, web_sales#47] +Arguments: [ca_county#9], [ca_county#44], Inner, BuildRight + +(59) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#52), dynamicpruningexpression(ws_sold_date_sk#52 IN dynamicpruning#17)] +PartitionFilters: [isnotnull(ws_sold_date_sk#50), dynamicpruningexpression(ws_sold_date_sk#50 IN dynamicpruning#15)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] +(60) ColumnarToRow [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] -(65) Filter [codegen id : 18] -Input [3]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52] -Condition : isnotnull(ws_bill_addr_sk#50) +(61) Filter [codegen id : 15] +Input [3]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50] +Condition : isnotnull(ws_bill_addr_sk#48) -(66) ReusedExchange [Reuses operator id: 105] -Output [3]: [d_date_sk#53, d_year#54, d_qoy#55] +(62) ReusedExchange [Reuses operator id: 99] +Output [3]: [d_date_sk#51, d_year#52, d_qoy#53] -(67) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#52] -Right keys [1]: [d_date_sk#53] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#50] +Right keys [1]: [d_date_sk#51] Join type: Inner Join condition: None -(68) Project [codegen id : 18] -Output [4]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, ws_sold_date_sk#52, d_date_sk#53, d_year#54, d_qoy#55] +(64) Project [codegen id : 15] +Output [4]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, ws_sold_date_sk#50, d_date_sk#51, d_year#52, d_qoy#53] -(69) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#56, ca_county#57] +(65) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#54, ca_county#55] -(70) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_bill_addr_sk#50] -Right keys [1]: [ca_address_sk#56] +(66) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_bill_addr_sk#48] +Right keys [1]: [ca_address_sk#54] Join type: Inner Join condition: None -(71) Project [codegen id : 18] -Output [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Input [6]: [ws_bill_addr_sk#50, ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_address_sk#56, ca_county#57] - -(72) HashAggregate [codegen id : 18] -Input [4]: [ws_ext_sales_price#51, d_year#54, d_qoy#55, ca_county#57] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum#58] -Results [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(73) CometColumnarExchange -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Arguments: hashpartitioning(ca_county#57, d_qoy#55, d_year#54, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(74) CometColumnarToRow [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] - -(75) HashAggregate [codegen id : 19] -Input [4]: [ca_county#57, d_qoy#55, d_year#54, sum#59] -Keys [3]: [ca_county#57, d_qoy#55, d_year#54] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#51))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#51))#48] -Results [2]: [ca_county#57, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#51))#48,17,2) AS web_sales#60] - -(76) BroadcastExchange -Input [2]: [ca_county#57, web_sales#60] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=10] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#57] -Join type: Inner -Join condition: (CASE WHEN (web_sales#49 > 0.00) THEN (web_sales#60 / web_sales#49) END > CASE WHEN (store_sales#13 > 0.00) THEN (store_sales#25 / store_sales#13) END) - -(78) Project [codegen id : 24] -Output [8]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60] -Input [9]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, ca_county#57, web_sales#60] - -(79) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(67) Project [codegen id : 15] +Output [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Input [6]: [ws_bill_addr_sk#48, ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_address_sk#54, ca_county#55] + +(68) HashAggregate [codegen id : 15] +Input [4]: [ws_ext_sales_price#49, d_year#52, d_qoy#53, ca_county#55] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#49))] +Aggregate Attributes [1]: [sum#56] +Results [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] + +(69) CometColumnarExchange +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Arguments: hashpartitioning(ca_county#55, d_qoy#53, d_year#52, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(70) CometHashAggregate +Input [4]: [ca_county#55, d_qoy#53, d_year#52, sum#57] +Keys [3]: [ca_county#55, d_qoy#53, d_year#52] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#49))] + +(71) CometBroadcastExchange +Input [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#55, web_sales#58] + +(72) CometBroadcastHashJoin +Left output [7]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47] +Right output [2]: [ca_county#55, web_sales#58] +Arguments: [ca_county#44], [ca_county#55], Inner, (CASE WHEN (web_sales#47 > 0.00) THEN (web_sales#58 / web_sales#47) END > CASE WHEN (store_sales#24 > 0.00) THEN (store_sales#23 / store_sales#24) END), BuildRight + +(73) CometProject +Input [9]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, ca_county#55, web_sales#58] +Arguments: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58], [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] + +(74) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#63), dynamicpruningexpression(ws_sold_date_sk#63 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ws_sold_date_sk#61), dynamicpruningexpression(ws_sold_date_sk#61 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ws_bill_addr_sk)] ReadSchema: struct -(80) ColumnarToRow [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] +(75) ColumnarToRow [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] -(81) Filter [codegen id : 22] -Input [3]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63] -Condition : isnotnull(ws_bill_addr_sk#61) +(76) Filter [codegen id : 18] +Input [3]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61] +Condition : isnotnull(ws_bill_addr_sk#59) -(82) ReusedExchange [Reuses operator id: 109] -Output [3]: [d_date_sk#64, d_year#65, d_qoy#66] +(77) ReusedExchange [Reuses operator id: 103] +Output [3]: [d_date_sk#62, d_year#63, d_qoy#64] -(83) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#63] -Right keys [1]: [d_date_sk#64] +(78) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#61] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(84) Project [codegen id : 22] -Output [4]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, ws_sold_date_sk#63, d_date_sk#64, d_year#65, d_qoy#66] +(79) Project [codegen id : 18] +Output [4]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, ws_sold_date_sk#61, d_date_sk#62, d_year#63, d_qoy#64] -(85) ReusedExchange [Reuses operator id: 10] -Output [2]: [ca_address_sk#67, ca_county#68] +(80) ReusedExchange [Reuses operator id: 10] +Output [2]: [ca_address_sk#65, ca_county#66] -(86) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_bill_addr_sk#61] -Right keys [1]: [ca_address_sk#67] +(81) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_bill_addr_sk#59] +Right keys [1]: [ca_address_sk#65] Join type: Inner Join condition: None -(87) Project [codegen id : 22] -Output [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Input [6]: [ws_bill_addr_sk#61, ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_address_sk#67, ca_county#68] - -(88) HashAggregate [codegen id : 22] -Input [4]: [ws_ext_sales_price#62, d_year#65, d_qoy#66, ca_county#68] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum#69] -Results [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(89) CometColumnarExchange -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Arguments: hashpartitioning(ca_county#68, d_qoy#66, d_year#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(90) CometColumnarToRow [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] - -(91) HashAggregate [codegen id : 23] -Input [4]: [ca_county#68, d_qoy#66, d_year#65, sum#70] -Keys [3]: [ca_county#68, d_qoy#66, d_year#65] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#62))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#62))#48] -Results [2]: [ca_county#68, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#62))#48,17,2) AS web_sales#71] - -(92) BroadcastExchange -Input [2]: [ca_county#68, web_sales#71] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=12] - -(93) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [ca_county#45] -Right keys [1]: [ca_county#68] -Join type: Inner -Join condition: (CASE WHEN (web_sales#60 > 0.00) THEN (web_sales#71 / web_sales#60) END > CASE WHEN (store_sales#25 > 0.00) THEN (store_sales#37 / store_sales#25) END) +(82) Project [codegen id : 18] +Output [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Input [6]: [ws_bill_addr_sk#59, ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_address_sk#65, ca_county#66] + +(83) HashAggregate [codegen id : 18] +Input [4]: [ws_ext_sales_price#60, d_year#63, d_qoy#64, ca_county#66] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#60))] +Aggregate Attributes [1]: [sum#67] +Results [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] + +(84) CometColumnarExchange +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Arguments: hashpartitioning(ca_county#66, d_qoy#64, d_year#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(85) CometHashAggregate +Input [4]: [ca_county#66, d_qoy#64, d_year#63, sum#68] +Keys [3]: [ca_county#66, d_qoy#64, d_year#63] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#60))] + +(86) CometBroadcastExchange +Input [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#66, web_sales#69] + +(87) CometBroadcastHashJoin +Left output [8]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58] +Right output [2]: [ca_county#66, web_sales#69] +Arguments: [ca_county#44], [ca_county#66], Inner, (CASE WHEN (web_sales#58 > 0.00) THEN (web_sales#69 / web_sales#58) END > CASE WHEN (store_sales#23 > 0.00) THEN (store_sales#36 / store_sales#23) END), BuildRight -(94) Project [codegen id : 24] -Output [6]: [ca_county#9, d_year#6, (web_sales#60 / web_sales#49) AS web_q1_q2_increase#72, (store_sales#25 / store_sales#13) AS store_q1_q2_increase#73, (web_sales#71 / web_sales#60) AS web_q2_q3_increase#74, (store_sales#37 / store_sales#25) AS store_q2_q3_increase#75] -Input [10]: [ca_county#9, d_year#6, store_sales#13, store_sales#25, store_sales#37, ca_county#45, web_sales#49, web_sales#60, ca_county#68, web_sales#71] +(88) CometProject +Input [10]: [ca_county#9, d_year#6, store_sales#24, store_sales#23, store_sales#36, ca_county#44, web_sales#47, web_sales#58, ca_county#66, web_sales#69] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9, d_year#6, (web_sales#58 / web_sales#47) AS web_q1_q2_increase#70, (store_sales#23 / store_sales#24) AS store_q1_q2_increase#71, (web_sales#69 / web_sales#58) AS web_q2_q3_increase#72, (store_sales#36 / store_sales#23) AS store_q2_q3_increase#73] -(95) CometColumnarExchange -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] +(89) CometExchange +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: rangepartitioning(ca_county#9 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(96) CometSort -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] -Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75], [ca_county#9 ASC NULLS FIRST] +(90) CometSort +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] +Arguments: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73], [ca_county#9 ASC NULLS FIRST] -(97) CometColumnarToRow [codegen id : 25] -Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#72, store_q1_q2_increase#73, web_q2_q3_increase#74, store_q2_q3_increase#75] +(91) CometColumnarToRow [codegen id : 19] +Input [6]: [ca_county#9, d_year#6, web_q1_q2_increase#70, store_q1_q2_increase#71, web_q2_q3_increase#72, store_q2_q3_increase#73] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (101) -+- * CometColumnarToRow (100) - +- CometFilter (99) - +- CometNativeScan parquet spark_catalog.default.date_dim (98) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(98) CometNativeScan parquet spark_catalog.default.date_dim +(92) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_year#6, d_qoy#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,1), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(99) CometFilter +(93) CometFilter Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] Condition : ((((isnotnull(d_qoy#7) AND isnotnull(d_year#6)) AND (d_qoy#7 = 1)) AND (d_year#6 = 2000)) AND isnotnull(d_date_sk#5)) -(100) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -(101) BroadcastExchange +(95) BroadcastExchange Input [3]: [d_date_sk#5, d_year#6, d_qoy#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#16 IN dynamicpruning#17 -BroadcastExchange (105) -+- * CometColumnarToRow (104) - +- CometFilter (103) - +- CometNativeScan parquet spark_catalog.default.date_dim (102) +Subquery:2 Hosting operator id = 16 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#15 +BroadcastExchange (99) ++- * CometColumnarToRow (98) + +- CometFilter (97) + +- CometNativeScan parquet spark_catalog.default.date_dim (96) -(102) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(96) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#16, d_year#17, d_qoy#18] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(103) CometFilter -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Condition : ((((isnotnull(d_qoy#20) AND isnotnull(d_year#19)) AND (d_qoy#20 = 2)) AND (d_year#19 = 2000)) AND isnotnull(d_date_sk#18)) +(97) CometFilter +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Condition : ((((isnotnull(d_qoy#18) AND isnotnull(d_year#17)) AND (d_qoy#18 = 2)) AND (d_year#17 = 2000)) AND isnotnull(d_date_sk#16)) -(104) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] +(98) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] -(105) BroadcastExchange -Input [3]: [d_date_sk#18, d_year#19, d_qoy#20] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(99) BroadcastExchange +Input [3]: [d_date_sk#16, d_year#17, d_qoy#18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29 -BroadcastExchange (109) -+- * CometColumnarToRow (108) - +- CometFilter (107) - +- CometNativeScan parquet spark_catalog.default.date_dim (106) +Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometFilter (101) + +- CometNativeScan parquet spark_catalog.default.date_dim (100) -(106) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(100) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#29, d_year#30, d_qoy#31] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,3), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(107) CometFilter -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Condition : ((((isnotnull(d_qoy#32) AND isnotnull(d_year#31)) AND (d_qoy#32 = 3)) AND (d_year#31 = 2000)) AND isnotnull(d_date_sk#30)) +(101) CometFilter +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Condition : ((((isnotnull(d_qoy#31) AND isnotnull(d_year#30)) AND (d_qoy#31 = 3)) AND (d_year#30 = 2000)) AND isnotnull(d_date_sk#29)) -(108) CometColumnarToRow [codegen id : 1] -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] +(102) CometColumnarToRow [codegen id : 1] +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] -(109) BroadcastExchange -Input [3]: [d_date_sk#30, d_year#31, d_qoy#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=16] +(103) BroadcastExchange +Input [3]: [d_date_sk#29, d_year#30, d_qoy#31] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -Subquery:4 Hosting operator id = 48 Hosting Expression = ws_sold_date_sk#40 IN dynamicpruning#4 +Subquery:4 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#39 IN dynamicpruning#4 -Subquery:5 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#52 IN dynamicpruning#17 +Subquery:5 Hosting operator id = 59 Hosting Expression = ws_sold_date_sk#50 IN dynamicpruning#15 -Subquery:6 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#63 IN dynamicpruning#29 +Subquery:6 Hosting operator id = 74 Hosting Expression = ws_sold_date_sk#61 IN dynamicpruning#28 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/extended.txt index f6f3c8032a..2738ee5022 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/extended.txt @@ -1,150 +1,144 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : : +- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : : +- CometBroadcastExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 38 out of 120 eligible operators (31%). Final plan contains 28 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 57 out of 120 eligible operators (47%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/simplified.txt index f3a0572081..a8230fcbb2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q31.native_datafusion/simplified.txt @@ -1,166 +1,143 @@ -WholeStageCodegen (25) +WholeStageCodegen (19) CometColumnarToRow InputAdapter CometSort [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] - CometColumnarExchange [ca_county] #1 - WholeStageCodegen (24) - Project [ca_county,d_year,web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - Project [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] - BroadcastHashJoin [ca_county,ca_county,web_sales,web_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - Project [ca_county,d_year,store_sales,store_sales,store_sales] - BroadcastHashJoin [ca_county,ca_county] - BroadcastHashJoin [ca_county,ca_county] - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #2 - WholeStageCodegen (3) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [ca_address_sk,ca_county] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #6 - WholeStageCodegen (6) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow + CometExchange [ca_county] #1 + CometProject [web_sales,web_sales,store_sales,store_sales,web_sales,store_sales] [ca_county,d_year,web_q1_q2_increase,store_q1_q2_increase,web_q2_q3_increase,store_q2_q3_increase] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales,ca_county,web_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,store_sales,store_sales,ca_county,web_sales] + CometProject [ca_county,d_year,store_sales,store_sales,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales,ca_county,store_sales] + CometBroadcastHashJoin [ca_county,d_year,store_sales,ca_county,store_sales] + CometHashAggregate [d_qoy,sum] [ca_county,d_year,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #2 + WholeStageCodegen (3) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ss_ext_sales_price)),store_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #9 - WholeStageCodegen (10) - HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #3 - BroadcastExchange #10 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #10 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #12 - WholeStageCodegen (14) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [ca_address_sk,ca_county] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county] + CometBroadcastExchange [ca_county,store_sales] #5 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #6 + WholeStageCodegen (6) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (19) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #14 - WholeStageCodegen (18) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_qoy] #7 - InputAdapter - ReusedExchange [ca_address_sk,ca_county] #4 - InputAdapter - BroadcastExchange #15 - WholeStageCodegen (23) - HashAggregate [ca_county,d_qoy,d_year,sum] [sum(UnscaledValue(ws_ext_sales_price)),web_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ca_county,d_qoy,d_year] #16 - WholeStageCodegen (22) - HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,d_year,d_qoy,ca_county] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk] + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,store_sales] #8 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,store_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #9 + WholeStageCodegen (9) + HashAggregate [ca_county,d_qoy,d_year,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_addr_sk,ss_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #3 + BroadcastExchange #10 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_qoy] InputAdapter ReusedExchange [d_date_sk,d_year,d_qoy] #10 InputAdapter ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #11 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #12 + WholeStageCodegen (12) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #3 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #13 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #14 + WholeStageCodegen (15) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #7 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 + CometBroadcastExchange [ca_county,web_sales] #15 + CometHashAggregate [d_qoy,d_year,sum] [ca_county,web_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [ca_county,d_qoy,d_year] #16 + WholeStageCodegen (18) + HashAggregate [ca_county,d_qoy,d_year,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,d_year,d_qoy,ca_county] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_bill_addr_sk,ws_ext_sales_price,d_year,d_qoy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_qoy] #10 + InputAdapter + ReusedExchange [ca_address_sk,ca_county] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/explain.txt index df3987b0a0..7be934815a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,67 +118,63 @@ Results [3]: [cs_item_sk#7, sum#13, count#14] Input [3]: [cs_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(cs_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [cs_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [cs_item_sk#7, sum#13, count#14] Keys [1]: [cs_item_sk#7] Functions [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(cs_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(cs_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] -Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] +Condition : isnotnull((1.3 * avg(cs_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [2]: [(1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [cs_item_sk#7] Join type: Inner -Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#16) +Join condition: (cast(cs_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(cs_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [cs_ext_discount_amt#2, cs_sold_date_sk#3] -Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#16, cs_item_sk#7] +Input [5]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, i_item_sk#5, (1.3 * avg(cs_ext_discount_amt))#15, cs_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] -Output [1]: [d_date_sk#17] +Output [1]: [d_date_sk#16] (26) BroadcastHashJoin [codegen id : 6] Left keys [1]: [cs_sold_date_sk#3] -Right keys [1]: [d_date_sk#17] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None (27) Project [codegen id : 6] Output [1]: [cs_ext_discount_amt#2] -Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#17] +Input [3]: [cs_ext_discount_amt#2, cs_sold_date_sk#3, d_date_sk#16] (28) HashAggregate [codegen id : 6] Input [1]: [cs_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#18] -Results [1]: [sum#19] +Aggregate Attributes [1]: [sum#17] +Results [1]: [sum#18] (29) CometColumnarExchange -Input [1]: [sum#19] +Input [1]: [sum#18] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#19] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#19] +(30) CometHashAggregate +Input [1]: [sum#18] Keys: [] Functions [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_discount_amt#2))#20] -Results [1]: [MakeDecimal(sum(UnscaledValue(cs_ext_discount_amt#2))#20,17,2) AS excess discount amount#21] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [excess discount amount#19] ===== Subqueries ===== @@ -191,25 +187,25 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_date#22] +Output [2]: [d_date_sk#16, d_date#20] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#17, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 2000-01-27)) AND (d_date#22 <= 2000-04-26)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#16, d_date#20] +Condition : (((isnotnull(d_date#20) AND (d_date#20 >= 2000-01-27)) AND (d_date#20 <= 2000-04-26)) AND isnotnull(d_date_sk#16)) (34) CometProject -Input [2]: [d_date_sk#17, d_date#22] -Arguments: [d_date_sk#17], [d_date_sk#17] +Input [2]: [d_date_sk#16, d_date#20] +Arguments: [d_date_sk#16], [d_date_sk#16] (35) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] (36) BroadcastExchange -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] Subquery:2 Hosting operator id = 11 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/extended.txt index 1eb8f397c3..bef02a0372 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/simplified.txt index 14c21b32a5..3ab00362fd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q32.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(cs_ext_discount_amt)),excess discount amount,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [excess discount amount,sum(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [cs_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(cs_ext_discount_amt))] - HashAggregate [cs_item_sk,sum,count] [avg(UnscaledValue(cs_ext_discount_amt)),(1.3 * avg(cs_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(cs_ext_discount_amt)),cs_item_sk,avg(UnscaledValue(cs_ext_discount_amt))] CometColumnarExchange [cs_item_sk] #5 WholeStageCodegen (3) HashAggregate [cs_item_sk,cs_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/explain.txt index a4e15583d4..59d3c022de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/explain.txt @@ -1,70 +1,67 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * HashAggregate (65) - +- * CometColumnarToRow (64) - +- CometColumnarExchange (63) - +- * HashAggregate (62) - +- Union (61) - :- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- CometColumnarExchange (26) - : +- * HashAggregate (25) - : +- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * Project (34) - : : : +- * BroadcastHashJoin Inner BuildRight (33) - : : : :- * Filter (31) - : : : : +- * ColumnarToRow (30) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) - : : : +- ReusedExchange (32) - : : +- ReusedExchange (35) - : +- ReusedExchange (38) - +- * HashAggregate (60) - +- * CometColumnarToRow (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- * Project (56) - +- * BroadcastHashJoin Inner BuildRight (55) - :- * Project (53) - : +- * BroadcastHashJoin Inner BuildRight (52) - : :- * Project (50) - : : +- * BroadcastHashJoin Inner BuildRight (49) - : : :- * Filter (47) - : : : +- * ColumnarToRow (46) - : : : +- Scan parquet spark_catalog.default.web_sales (45) - : : +- ReusedExchange (48) - : +- ReusedExchange (51) - +- ReusedExchange (54) +* CometColumnarToRow (63) ++- CometTakeOrderedAndProject (62) + +- CometHashAggregate (61) + +- CometExchange (60) + +- CometHashAggregate (59) + +- CometUnion (58) + :- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (22) + : +- * CometColumnarToRow (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * Project (33) + : : : +- * BroadcastHashJoin Inner BuildRight (32) + : : : :- * Filter (30) + : : : : +- * ColumnarToRow (29) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (28) + : : : +- ReusedExchange (31) + : : +- ReusedExchange (34) + : +- ReusedExchange (37) + +- CometHashAggregate (57) + +- CometColumnarExchange (56) + +- * HashAggregate (55) + +- * Project (54) + +- * BroadcastHashJoin Inner BuildRight (53) + :- * Project (51) + : +- * BroadcastHashJoin Inner BuildRight (50) + : :- * Project (48) + : : +- * BroadcastHashJoin Inner BuildRight (47) + : : :- * Filter (45) + : : : +- * ColumnarToRow (44) + : : : +- Scan parquet spark_catalog.default.web_sales (43) + : : +- ReusedExchange (46) + : +- ReusedExchange (49) + +- ReusedExchange (52) (1) Scan parquet spark_catalog.default.store_sales @@ -82,7 +79,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 71] +(4) ReusedExchange [Reuses operator id: 68] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -190,227 +187,211 @@ Results [2]: [i_manufact_id#10, sum#14] Input [2]: [i_manufact_id#10, sum#14] Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(27) CometColumnarToRow [codegen id : 5] -Input [2]: [i_manufact_id#10, sum#14] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [2]: [i_manufact_id#10, sum#14] Keys [1]: [i_manufact_id#10] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#15] -Results [2]: [i_manufact_id#10, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#15,17,2) AS total_sales#16] -(29) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(28) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#18), dynamicpruningexpression(cs_sold_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(30) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +(29) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] -(31) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) +(30) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] +Condition : (isnotnull(cs_bill_addr_sk#15) AND isnotnull(cs_item_sk#16)) -(32) ReusedExchange [Reuses operator id: 71] -Output [1]: [d_date_sk#21] +(31) ReusedExchange [Reuses operator id: 68] +Output [1]: [d_date_sk#19] -(33) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#20] -Right keys [1]: [d_date_sk#21] +(32) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(34) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] -Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] +(33) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17] +Input [5]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18, d_date_sk#19] -(35) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#22] +(34) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#20] -(36) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#17] -Right keys [1]: [ca_address_sk#22] +(35) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#15] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(37) Project [codegen id : 9] -Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] -Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] +(36) Project [codegen id : 8] +Output [2]: [cs_item_sk#16, cs_ext_sales_price#17] +Input [4]: [cs_bill_addr_sk#15, cs_item_sk#16, cs_ext_sales_price#17, ca_address_sk#20] -(38) ReusedExchange [Reuses operator id: 22] -Output [2]: [i_item_sk#23, i_manufact_id#24] +(37) ReusedExchange [Reuses operator id: 22] +Output [2]: [i_item_sk#21, i_manufact_id#22] -(39) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#18] -Right keys [1]: [i_item_sk#23] +(38) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#16] +Right keys [1]: [i_item_sk#21] Join type: Inner Join condition: None -(40) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_manufact_id#24] - -(41) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#19, i_manufact_id#24] -Keys [1]: [i_manufact_id#24] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum#25] -Results [2]: [i_manufact_id#24, sum#26] - -(42) CometColumnarExchange -Input [2]: [i_manufact_id#24, sum#26] -Arguments: hashpartitioning(i_manufact_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(43) CometColumnarToRow [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] - -(44) HashAggregate [codegen id : 10] -Input [2]: [i_manufact_id#24, sum#26] -Keys [1]: [i_manufact_id#24] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#19))#27] -Results [2]: [i_manufact_id#24, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#19))#27,17,2) AS total_sales#28] - -(45) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(39) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Input [4]: [cs_item_sk#16, cs_ext_sales_price#17, i_item_sk#21, i_manufact_id#22] + +(40) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#17, i_manufact_id#22] +Keys [1]: [i_manufact_id#22] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#17))] +Aggregate Attributes [1]: [sum#23] +Results [2]: [i_manufact_id#22, sum#24] + +(41) CometColumnarExchange +Input [2]: [i_manufact_id#22, sum#24] +Arguments: hashpartitioning(i_manufact_id#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(42) CometHashAggregate +Input [2]: [i_manufact_id#22, sum#24] +Keys [1]: [i_manufact_id#22] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#17))] + +(43) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#32), dynamicpruningexpression(ws_sold_date_sk#32 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#28), dynamicpruningexpression(ws_sold_date_sk#28 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(46) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] +(44) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] -(47) Filter [codegen id : 14] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32] -Condition : (isnotnull(ws_bill_addr_sk#30) AND isnotnull(ws_item_sk#29)) +(45) Filter [codegen id : 12] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28] +Condition : (isnotnull(ws_bill_addr_sk#26) AND isnotnull(ws_item_sk#25)) -(48) ReusedExchange [Reuses operator id: 71] -Output [1]: [d_date_sk#33] +(46) ReusedExchange [Reuses operator id: 68] +Output [1]: [d_date_sk#29] -(49) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#32] -Right keys [1]: [d_date_sk#33] +(47) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#28] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(50) Project [codegen id : 14] -Output [3]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31] -Input [5]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ws_sold_date_sk#32, d_date_sk#33] +(48) Project [codegen id : 12] +Output [3]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27] +Input [5]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ws_sold_date_sk#28, d_date_sk#29] -(51) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#34] +(49) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#30] -(52) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#30] -Right keys [1]: [ca_address_sk#34] +(50) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#26] +Right keys [1]: [ca_address_sk#30] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [2]: [ws_item_sk#29, ws_ext_sales_price#31] -Input [4]: [ws_item_sk#29, ws_bill_addr_sk#30, ws_ext_sales_price#31, ca_address_sk#34] +(51) Project [codegen id : 12] +Output [2]: [ws_item_sk#25, ws_ext_sales_price#27] +Input [4]: [ws_item_sk#25, ws_bill_addr_sk#26, ws_ext_sales_price#27, ca_address_sk#30] -(54) ReusedExchange [Reuses operator id: 22] -Output [2]: [i_item_sk#35, i_manufact_id#36] +(52) ReusedExchange [Reuses operator id: 22] +Output [2]: [i_item_sk#31, i_manufact_id#32] -(55) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#29] -Right keys [1]: [i_item_sk#35] +(53) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#25] +Right keys [1]: [i_item_sk#31] Join type: Inner Join condition: None -(56) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Input [4]: [ws_item_sk#29, ws_ext_sales_price#31, i_item_sk#35, i_manufact_id#36] - -(57) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#31, i_manufact_id#36] -Keys [1]: [i_manufact_id#36] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum#37] -Results [2]: [i_manufact_id#36, sum#38] - -(58) CometColumnarExchange -Input [2]: [i_manufact_id#36, sum#38] -Arguments: hashpartitioning(i_manufact_id#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(59) CometColumnarToRow [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] - -(60) HashAggregate [codegen id : 15] -Input [2]: [i_manufact_id#36, sum#38] -Keys [1]: [i_manufact_id#36] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#31))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#31))#39] -Results [2]: [i_manufact_id#36, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#31))#39,17,2) AS total_sales#40] - -(61) Union - -(62) HashAggregate [codegen id : 16] -Input [2]: [i_manufact_id#10, total_sales#16] +(54) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Input [4]: [ws_item_sk#25, ws_ext_sales_price#27, i_item_sk#31, i_manufact_id#32] + +(55) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#27, i_manufact_id#32] +Keys [1]: [i_manufact_id#32] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#33] +Results [2]: [i_manufact_id#32, sum#34] + +(56) CometColumnarExchange +Input [2]: [i_manufact_id#32, sum#34] +Arguments: hashpartitioning(i_manufact_id#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(57) CometHashAggregate +Input [2]: [i_manufact_id#32, sum#34] +Keys [1]: [i_manufact_id#32] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#27))] + +(58) CometUnion +Child 0 Input [2]: [i_manufact_id#10, total_sales#35] +Child 1 Input [2]: [i_manufact_id#22, total_sales#36] +Child 2 Input [2]: [i_manufact_id#32, total_sales#37] + +(59) CometHashAggregate +Input [2]: [i_manufact_id#10, total_sales#35] Keys [1]: [i_manufact_id#10] -Functions [1]: [partial_sum(total_sales#16)] -Aggregate Attributes [2]: [sum#41, isEmpty#42] -Results [3]: [i_manufact_id#10, sum#43, isEmpty#44] - -(63) CometColumnarExchange -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] -Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sales#35)] -(64) CometColumnarToRow [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(60) CometExchange +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] +Arguments: hashpartitioning(i_manufact_id#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(65) HashAggregate [codegen id : 17] -Input [3]: [i_manufact_id#10, sum#43, isEmpty#44] +(61) CometHashAggregate +Input [3]: [i_manufact_id#10, sum#38, isEmpty#39] Keys [1]: [i_manufact_id#10] -Functions [1]: [sum(total_sales#16)] -Aggregate Attributes [1]: [sum(total_sales#16)#45] -Results [2]: [i_manufact_id#10, sum(total_sales#16)#45 AS total_sales#46] +Functions [1]: [sum(total_sales#35)] + +(62) CometTakeOrderedAndProject +Input [2]: [i_manufact_id#10, total_sales#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#40 ASC NULLS FIRST], output=[i_manufact_id#10,total_sales#40]), [i_manufact_id#10, total_sales#40], 100, 0, [total_sales#40 ASC NULLS FIRST], [i_manufact_id#10, total_sales#40] -(66) TakeOrderedAndProject -Input [2]: [i_manufact_id#10, total_sales#46] -Arguments: 100, [total_sales#46 ASC NULLS FIRST], [i_manufact_id#10, total_sales#46] +(63) CometColumnarToRow [codegen id : 13] +Input [2]: [i_manufact_id#10, total_sales#40] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.date_dim (67) +BroadcastExchange (68) ++- * CometColumnarToRow (67) + +- CometProject (66) + +- CometFilter (65) + +- CometNativeScan parquet spark_catalog.default.date_dim (64) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#47, d_moy#48] +(64) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#41, d_moy#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,5), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] -Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#48)) AND (d_year#47 = 1998)) AND (d_moy#48 = 5)) AND isnotnull(d_date_sk#6)) +(65) CometFilter +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] +Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 5)) AND isnotnull(d_date_sk#6)) -(69) CometProject -Input [3]: [d_date_sk#6, d_year#47, d_moy#48] +(66) CometProject +Input [3]: [d_date_sk#6, d_year#41, d_moy#42] Arguments: [d_date_sk#6], [d_date_sk#6] -(70) CometColumnarToRow [codegen id : 1] +(67) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(71) BroadcastExchange +(68) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 28 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#32 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 43 Hosting Expression = ws_sold_date_sk#28 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/extended.txt index 79b2700a8c..8945c29e4c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/extended.txt @@ -1,112 +1,109 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 46 out of 93 eligible operators (49%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 53 out of 93 eligible operators (56%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/simplified.txt index fd1c1d0ef2..b6ce5dd61a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q33.native_datafusion/simplified.txt @@ -1,105 +1,94 @@ -TakeOrderedAndProject [total_sales,i_manufact_id] - WholeStageCodegen (17) - HashAggregate [i_manufact_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (16) - HashAggregate [i_manufact_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] - CometFilter [i_item_sk,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] - CometBroadcastExchange [i_manufact_id] #6 - CometProject [i_manufact_id] - CometFilter [i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] - WholeStageCodegen (10) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #7 - WholeStageCodegen (9) - HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_manufact_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_manufact_id] #5 - WholeStageCodegen (15) - HashAggregate [i_manufact_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id] #8 - WholeStageCodegen (14) - HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_manufact_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_manufact_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_manufact_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_manufact_id,total_sales,sum(total_sales)] + CometExchange [i_manufact_id] #1 + CometHashAggregate [total_sales] [i_manufact_id,sum,isEmpty] + CometUnion [i_manufact_id,total_sales] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometBroadcastHashJoin [i_item_sk,i_manufact_id,i_manufact_id] + CometFilter [i_item_sk,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_manufact_id] + CometBroadcastExchange [i_manufact_id] #6 + CometProject [i_manufact_id] + CometFilter [i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_category,i_manufact_id] + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #7 + WholeStageCodegen (8) + HashAggregate [i_manufact_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_manufact_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_manufact_id] #5 + CometHashAggregate [sum] [i_manufact_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_manufact_id] #8 + WholeStageCodegen (12) + HashAggregate [i_manufact_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_manufact_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_manufact_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/explain.txt index 7d332cb2e7..293e96c42c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#19, 10)) AS c_salutation#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#20, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#21, 30)) AS c_last_name#25, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#22, 1)) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#18, 10)) AS c_salutation#22, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#19, 20)) AS c_first_name#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#20, 30)) AS c_last_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#21, 1)) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/simplified.txt index 10af5ceadc..ae1c4b111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/explain.txt index 7d1dadfda2..c7f056d14c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, min#41, max#42, sum#43, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), min(cd_dep_count#22), max(cd_dep_count#22), avg(cd_dep_count#22), min(cd_dep_employed_count#23), max(cd_dep_employed_count#23), avg(cd_dep_employed_count#23), min(cd_dep_college_count#24), max(cd_dep_college_count#24), avg(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, min(cd_dep_count#22)#54, max(cd_dep_count#22)#55, avg(cd_dep_count#22)#56, min(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, avg(cd_dep_employed_count#23)#59, min(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, avg(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, count(1)#53 AS cnt1#63, min(cd_dep_count#22)#54 AS min(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, avg(cd_dep_count#22)#56 AS avg(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, min(cd_dep_employed_count#23)#57 AS min(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, avg(cd_dep_employed_count#23)#59 AS avg(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, min(cd_dep_college_count#24)#60 AS min(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, avg(cd_dep_college_count#24)#62 AS avg(cd_dep_college_count)#74, cd_dep_count#22] -(45) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#63, min(cd_dep_count)#64, max(cd_dep_count)#65, avg(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, min(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, avg(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, min(cd_dep_college_count)#72, max(cd_dep_college_count)#73, avg(cd_dep_college_count)#74, cd_dep_count#22] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#63, min(cd_dep_count)#64, max(cd_dep_count)#65, avg(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, min(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, avg(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, min(cd_dep_college_count)#72, max(cd_dep_college_count)#73, avg(cd_dep_college_count)#74] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64, cd_dep_count#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cnt1#53,min(cd_dep_count)#54,max(cd_dep_count)#55,avg(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,min(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,avg(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,min(cd_dep_college_count)#62,max(cd_dep_college_count)#63,avg(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64] + +(45) CometColumnarToRow [codegen id : 10] +Input [17]: [ca_state#18, cd_gender#25, cd_marital_status#26, cnt1#53, min(cd_dep_count)#54, max(cd_dep_count)#55, avg(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, min(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, avg(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, min(cd_dep_college_count)#62, max(cd_dep_college_count)#63, avg(cd_dep_college_count)#64] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#9, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 2002)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 2002)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/simplified.txt index 48bc5637d0..121f4d88b0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/explain.txt index 4db51f2231..5eb5ea659b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), min(cd_dep_count#26), max(cd_dep_count#26), avg(cd_dep_count#26), min(cd_dep_employed_count#27), max(cd_dep_employed_count#27), avg(cd_dep_employed_count#27), min(cd_dep_college_count#28), max(cd_dep_college_count#28), avg(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, min(cd_dep_count#26)#58, max(cd_dep_count#26)#59, avg(cd_dep_count#26)#60, min(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, avg(cd_dep_employed_count#27)#63, min(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, avg(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, count(1)#57 AS cnt1#67, min(cd_dep_count#26)#58 AS min(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, avg(cd_dep_count#26)#60 AS avg(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, min(cd_dep_employed_count#27)#61 AS min(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, avg(cd_dep_employed_count#27)#63 AS avg(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, min(cd_dep_college_count#28)#64 AS min(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, avg(cd_dep_college_count#28)#66 AS avg(cd_dep_college_count)#78, cd_dep_count#26] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78, cd_dep_count#26] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68, cd_dep_count#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cnt1#57,min(cd_dep_count)#58,max(cd_dep_count)#59,avg(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,min(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,avg(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,min(cd_dep_college_count)#66,max(cd_dep_college_count)#67,avg(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/explain.txt index 4db51f2231..5eb5ea659b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, min#45, max#46, sum#47, count#48, min#49, max#50, sum#51, count#52, min#53, max#54, sum#55, count#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), min(cd_dep_count#26), max(cd_dep_count#26), avg(cd_dep_count#26), min(cd_dep_employed_count#27), max(cd_dep_employed_count#27), avg(cd_dep_employed_count#27), min(cd_dep_college_count#28), max(cd_dep_college_count#28), avg(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, min(cd_dep_count#26)#58, max(cd_dep_count#26)#59, avg(cd_dep_count#26)#60, min(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, avg(cd_dep_employed_count#27)#63, min(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, avg(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, count(1)#57 AS cnt1#67, min(cd_dep_count#26)#58 AS min(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, avg(cd_dep_count#26)#60 AS avg(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, min(cd_dep_employed_count#27)#61 AS min(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, avg(cd_dep_employed_count#27)#63 AS avg(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, min(cd_dep_college_count#28)#64 AS min(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, avg(cd_dep_college_count#28)#66 AS avg(cd_dep_college_count)#78, cd_dep_count#26] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78, cd_dep_count#26] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#67, min(cd_dep_count)#68, max(cd_dep_count)#69, avg(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, min(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, avg(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, min(cd_dep_college_count)#76, max(cd_dep_college_count)#77, avg(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68, cd_dep_count#26] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cnt1#57,min(cd_dep_count)#58,max(cd_dep_count)#59,avg(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,min(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,avg(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,min(cd_dep_college_count)#66,max(cd_dep_college_count)#67,avg(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [17]: [ca_state#22, cd_gender#29, cd_marital_status#30, cnt1#57, min(cd_dep_count)#58, max(cd_dep_count)#59, avg(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, min(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, avg(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, min(cd_dep_college_count)#66, max(cd_dep_college_count)#67, avg(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/simplified.txt index f1fe09fb46..25f6107970 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),count,min,max,sum,count,min,max,sum,count,min,max,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_dep_count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] + CometHashAggregate [count,min,max,sum,count,min,max,sum,count,min,max,sum,count] [ca_state,cd_gender,cd_marital_status,cnt1,min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),cd_dep_employed_count,cnt2,min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),cd_dep_college_count,cnt3,min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count),cd_dep_count,count(1),min(cd_dep_count),max(cd_dep_count),avg(cd_dep_count),min(cd_dep_employed_count),max(cd_dep_employed_count),avg(cd_dep_employed_count),min(cd_dep_college_count),max(cd_dep_college_count),avg(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,min,max,sum,count,min,max,sum,count,min,max,sum,count,count,min,max,sum,count,min,max,sum,count,min,max,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/explain.txt index d3f2114c78..69fb838706 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/explain.txt @@ -1,35 +1,34 @@ == Physical Plan == -TakeOrderedAndProject (31) -+- * Project (30) - +- Window (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometColumnarExchange (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) - +- CometColumnarExchange (23) - +- * HashAggregate (22) - +- * Expand (21) - +- * Project (20) - +- * BroadcastHashJoin Inner BuildRight (19) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - +- BroadcastExchange (18) - +- * CometColumnarToRow (17) - +- CometProject (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (30) ++- * Project (29) + +- Window (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometColumnarExchange (23) + +- * HashAggregate (22) + +- * Expand (21) + +- * Project (20) + +- * BroadcastHashJoin Inner BuildRight (19) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + +- BroadcastExchange (18) + +- * CometColumnarToRow (17) + +- CometProject (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) Scan parquet spark_catalog.default.store_sales @@ -47,7 +46,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 36] +(4) ReusedExchange [Reuses operator id: 35] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,68 +138,63 @@ Results [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Arguments: hashpartitioning(i_category#15, i_class#16, spark_grouping_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [5]: [i_category#15, i_class#16, spark_grouping_id#17, sum#20, sum#21] Keys [3]: [i_category#15, i_class#16, spark_grouping_id#17] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#22, sum(UnscaledValue(ss_ext_sales_price#3))#23] -Results [7]: [(MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS gross_margin#24, i_category#15, i_class#16, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS lochierarchy#25, (MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#22,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#23,17,2)) AS _w0#26, (cast((shiftright(spark_grouping_id#17, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint)) AS _w1#27, CASE WHEN (cast((shiftright(spark_grouping_id#17, 0) & 1) as tinyint) = 0) THEN i_category#15 END AS _w2#28] -(26) CometColumnarExchange -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: hashpartitioning(_w1#27, _w2#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(25) CometExchange +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: hashpartitioning(_w1#25, _w2#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(27) CometSort -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28], [_w1#27 ASC NULLS FIRST, _w2#28 ASC NULLS FIRST, _w0#26 ASC NULLS FIRST] +(26) CometSort +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26], [_w1#25 ASC NULLS FIRST, _w2#26 ASC NULLS FIRST, _w0#24 ASC NULLS FIRST] -(28) CometColumnarToRow [codegen id : 6] -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] +(27) CometColumnarToRow [codegen id : 5] +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] -(29) Window -Input [7]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28] -Arguments: [rank(_w0#26) windowspecdefinition(_w1#27, _w2#28, _w0#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#29], [_w1#27, _w2#28], [_w0#26 ASC NULLS FIRST] +(28) Window +Input [7]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26] +Arguments: [rank(_w0#24) windowspecdefinition(_w1#25, _w2#26, _w0#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#27], [_w1#25, _w2#26], [_w0#24 ASC NULLS FIRST] -(30) Project [codegen id : 7] -Output [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Input [8]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, _w0#26, _w1#27, _w2#28, rank_within_parent#29] +(29) Project [codegen id : 6] +Output [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Input [8]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, _w0#24, _w1#25, _w2#26, rank_within_parent#27] -(31) TakeOrderedAndProject -Input [5]: [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] -Arguments: 100, [lochierarchy#25 DESC NULLS LAST, CASE WHEN (lochierarchy#25 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#29 ASC NULLS FIRST], [gross_margin#24, i_category#15, i_class#16, lochierarchy#25, rank_within_parent#29] +(30) TakeOrderedAndProject +Input [5]: [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] +Arguments: 100, [lochierarchy#23 DESC NULLS LAST, CASE WHEN (lochierarchy#23 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#27 ASC NULLS FIRST], [gross_margin#22, i_category#15, i_class#16, lochierarchy#23, rank_within_parent#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (36) -+- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.date_dim (32) +BroadcastExchange (35) ++- * CometColumnarToRow (34) + +- CometProject (33) + +- CometFilter (32) + +- CometNativeScan parquet spark_catalog.default.date_dim (31) -(32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#30] +(31) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(33) CometFilter -Input [2]: [d_date_sk#7, d_year#30] -Condition : ((isnotnull(d_year#30) AND (d_year#30 = 2001)) AND isnotnull(d_date_sk#7)) +(32) CometFilter +Input [2]: [d_date_sk#7, d_year#28] +Condition : ((isnotnull(d_year#28) AND (d_year#28 = 2001)) AND isnotnull(d_date_sk#7)) -(34) CometProject -Input [2]: [d_date_sk#7, d_year#30] +(33) CometProject +Input [2]: [d_date_sk#7, d_year#28] Arguments: [d_date_sk#7], [d_date_sk#7] -(35) CometColumnarToRow [codegen id : 1] +(34) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(36) BroadcastExchange +(35) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/extended.txt index bd826eb3a3..675a701ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/extended.txt @@ -3,41 +3,40 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 15 out of 34 eligible operators (44%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 34 eligible operators (47%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/simplified.txt index d6f8548c89..7abc26c44d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q36.native_datafusion/simplified.txt @@ -1,54 +1,51 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,spark_grouping_id,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,lochierarchy,_w0,_w1,_w2,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] - Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,spark_grouping_id,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Expand [ss_ext_sales_price,ss_net_profit,i_category,i_class] + Project [ss_ext_sales_price,ss_net_profit,i_category,i_class] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/explain.txt index 540361017b..cdfbad5a14 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#46, avg(inv_quantity_on_hand#28)#22 AS mean#47] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#46, mean#47] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#47)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#46 / knownfloatingpointnormalized(normalizenanandzero(mean#47))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#47)) = 0.0) THEN null ELSE (stdev#46 / knownfloatingpointnormalized(normalizenanandzero(mean#47))) END AS cov#48] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#46, mean#47] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#47 ASC NULLS FIRST, cov#48 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#44, mean#45] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#45)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#44 / knownfloatingpointnormalized(normalizenanandzero(mean#45))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#47 ASC NULLS FIRST, cov#48 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#44, mean#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#45)) = 0.0) THEN null ELSE (stdev#44 / knownfloatingpointnormalized(normalizenanandzero(mean#45))) END AS cov#46] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#45 ASC NULLS FIRST, cov#46 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#45 ASC NULLS FIRST, cov#46 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#49, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#47, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#49, d_moy#10] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#10)) AND (d_year#49 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#47, d_moy#10] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#10)) AND (d_year#47 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#49, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#47, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#50, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#48, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#50, d_moy#35] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#35)) AND (d_year#50 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#48, d_moy#33] +Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#33)) AND (d_year#48 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#50, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#48, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/simplified.txt index 11dd59a97f..534680d8c3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39a.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/explain.txt index 1e019e0e20..ca5a288b6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/explain.txt @@ -1,51 +1,49 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * BroadcastHashJoin Inner BuildRight (44) - :- * Project (24) - : +- * Filter (23) - : +- * HashAggregate (22) - : +- * CometColumnarToRow (21) - : +- CometColumnarExchange (20) - : +- * HashAggregate (19) - : +- * Project (18) - : +- * BroadcastHashJoin Inner BuildRight (17) - : :- * Project (15) - : : +- * BroadcastHashJoin Inner BuildRight (14) - : : :- * Project (9) - : : : +- * BroadcastHashJoin Inner BuildRight (8) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- BroadcastExchange (7) - : : : +- * CometColumnarToRow (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- BroadcastExchange (13) - : : +- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) - : +- ReusedExchange (16) - +- BroadcastExchange (43) - +- * Project (42) - +- * Filter (41) - +- * HashAggregate (40) - +- * CometColumnarToRow (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * Project (36) - +- * BroadcastHashJoin Inner BuildRight (35) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (30) - : : +- * BroadcastHashJoin Inner BuildRight (29) - : : :- * Filter (27) - : : : +- * ColumnarToRow (26) - : : : +- Scan parquet spark_catalog.default.inventory (25) - : : +- ReusedExchange (28) - : +- ReusedExchange (31) - +- ReusedExchange (34) +* CometColumnarToRow (45) ++- CometSort (44) + +- CometExchange (43) + +- CometBroadcastHashJoin (42) + :- CometProject (23) + : +- CometFilter (22) + : +- CometHashAggregate (21) + : +- CometColumnarExchange (20) + : +- * HashAggregate (19) + : +- * Project (18) + : +- * BroadcastHashJoin Inner BuildRight (17) + : :- * Project (15) + : : +- * BroadcastHashJoin Inner BuildRight (14) + : : :- * Project (9) + : : : +- * BroadcastHashJoin Inner BuildRight (8) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- BroadcastExchange (7) + : : : +- * CometColumnarToRow (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- BroadcastExchange (13) + : : +- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometNativeScan parquet spark_catalog.default.warehouse (10) + : +- ReusedExchange (16) + +- CometBroadcastExchange (41) + +- CometProject (40) + +- CometFilter (39) + +- CometHashAggregate (38) + +- CometColumnarExchange (37) + +- * HashAggregate (36) + +- * Project (35) + +- * BroadcastHashJoin Inner BuildRight (34) + :- * Project (32) + : +- * BroadcastHashJoin Inner BuildRight (31) + : :- * Project (29) + : : +- * BroadcastHashJoin Inner BuildRight (28) + : : :- * Filter (26) + : : : +- * ColumnarToRow (25) + : : : +- Scan parquet spark_catalog.default.inventory (24) + : : +- ReusedExchange (27) + : +- ReusedExchange (30) + +- ReusedExchange (33) (1) Scan parquet spark_catalog.default.inventory @@ -119,7 +117,7 @@ Join condition: None Output [5]: [inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] Input [6]: [inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4, i_item_sk#6, w_warehouse_sk#7, w_warehouse_name#8] -(16) ReusedExchange [Reuses operator id: 52] +(16) ReusedExchange [Reuses operator id: 50] Output [2]: [d_date_sk#9, d_moy#10] (17) BroadcastHashJoin [codegen id : 4] @@ -143,188 +141,177 @@ Results [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Arguments: hashpartitioning(w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(21) CometColumnarToRow [codegen id : 10] -Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] - -(22) HashAggregate [codegen id : 10] +(21) CometHashAggregate Input [9]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10, n#16, avg#17, m2#18, sum#19, count#20] Keys [4]: [w_warehouse_name#8, w_warehouse_sk#7, i_item_sk#6, d_moy#10] Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double)), avg(inv_quantity_on_hand#3)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#3 as double))#21, avg(inv_quantity_on_hand#3)#22] -Results [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stddev_samp(cast(inv_quantity_on_hand#3 as double))#21 AS stdev#23, avg(inv_quantity_on_hand#3)#22 AS mean#24] -(23) Filter [codegen id : 10] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] -Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))))) > 1.5) END) +(22) CometFilter +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Condition : (CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.0) END AND CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))))) > 1.5) END) -(24) Project [codegen id : 10] -Output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#24)) = 0.0) THEN null ELSE (stdev#23 / knownfloatingpointnormalized(normalizenanandzero(mean#24))) END AS cov#25] -Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#23, mean#24] +(23) CometProject +Input [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, stdev#21, mean#22] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23], [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#22)) = 0.0) THEN null ELSE (stdev#21 / knownfloatingpointnormalized(normalizenanandzero(mean#22))) END AS cov#23] -(25) Scan parquet spark_catalog.default.inventory -Output [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(24) Scan parquet spark_catalog.default.inventory +Output [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(inv_date_sk#29), dynamicpruningexpression(inv_date_sk#29 IN dynamicpruning#30)] +PartitionFilters: [isnotnull(inv_date_sk#27), dynamicpruningexpression(inv_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(inv_item_sk), IsNotNull(inv_warehouse_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] +(25) ColumnarToRow [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] -(27) Filter [codegen id : 8] -Input [4]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29] -Condition : (isnotnull(inv_item_sk#26) AND isnotnull(inv_warehouse_sk#27)) +(26) Filter [codegen id : 8] +Input [4]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27] +Condition : (isnotnull(inv_item_sk#24) AND isnotnull(inv_warehouse_sk#25)) -(28) ReusedExchange [Reuses operator id: 7] -Output [1]: [i_item_sk#31] +(27) ReusedExchange [Reuses operator id: 7] +Output [1]: [i_item_sk#29] -(29) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_item_sk#26] -Right keys [1]: [i_item_sk#31] +(28) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_item_sk#24] +Right keys [1]: [i_item_sk#29] Join type: Inner Join condition: None -(30) Project [codegen id : 8] -Output [4]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] -Input [5]: [inv_item_sk#26, inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31] +(29) Project [codegen id : 8] +Output [4]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] +Input [5]: [inv_item_sk#24, inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29] -(31) ReusedExchange [Reuses operator id: 13] -Output [2]: [w_warehouse_sk#32, w_warehouse_name#33] +(30) ReusedExchange [Reuses operator id: 13] +Output [2]: [w_warehouse_sk#30, w_warehouse_name#31] -(32) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_warehouse_sk#27] -Right keys [1]: [w_warehouse_sk#32] +(31) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_warehouse_sk#25] +Right keys [1]: [w_warehouse_sk#30] Join type: Inner Join condition: None -(33) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] -Input [6]: [inv_warehouse_sk#27, inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33] +(32) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] +Input [6]: [inv_warehouse_sk#25, inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31] -(34) ReusedExchange [Reuses operator id: 57] -Output [2]: [d_date_sk#34, d_moy#35] +(33) ReusedExchange [Reuses operator id: 55] +Output [2]: [d_date_sk#32, d_moy#33] -(35) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [inv_date_sk#29] -Right keys [1]: [d_date_sk#34] +(34) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [inv_date_sk#27] +Right keys [1]: [d_date_sk#32] Join type: Inner Join condition: None -(36) Project [codegen id : 8] -Output [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Input [7]: [inv_quantity_on_hand#28, inv_date_sk#29, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_date_sk#34, d_moy#35] - -(37) HashAggregate [codegen id : 8] -Input [5]: [inv_quantity_on_hand#28, i_item_sk#31, w_warehouse_sk#32, w_warehouse_name#33, d_moy#35] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#28 as double)), partial_avg(inv_quantity_on_hand#28)] -Aggregate Attributes [5]: [n#36, avg#37, m2#38, sum#39, count#40] -Results [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(38) CometColumnarExchange -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Arguments: hashpartitioning(w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(39) CometColumnarToRow [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] - -(40) HashAggregate [codegen id : 9] -Input [9]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35, n#41, avg#42, m2#43, sum#44, count#45] -Keys [4]: [w_warehouse_name#33, w_warehouse_sk#32, i_item_sk#31, d_moy#35] -Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double)), avg(inv_quantity_on_hand#28)] -Aggregate Attributes [2]: [stddev_samp(cast(inv_quantity_on_hand#28 as double))#21, avg(inv_quantity_on_hand#28)#22] -Results [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stddev_samp(cast(inv_quantity_on_hand#28 as double))#21 AS stdev#46, avg(inv_quantity_on_hand#28)#22 AS mean#47] - -(41) Filter [codegen id : 9] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#46, mean#47] -Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#47)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#46 / knownfloatingpointnormalized(normalizenanandzero(mean#47))))) > 1.0) END - -(42) Project [codegen id : 9] -Output [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#47)) = 0.0) THEN null ELSE (stdev#46 / knownfloatingpointnormalized(normalizenanandzero(mean#47))) END AS cov#48] -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, stdev#46, mean#47] - -(43) BroadcastExchange -Input [5]: [w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=5] - -(44) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [i_item_sk#6, w_warehouse_sk#7] -Right keys [2]: [i_item_sk#31, w_warehouse_sk#32] -Join type: Inner -Join condition: None +(35) Project [codegen id : 8] +Output [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Input [7]: [inv_quantity_on_hand#26, inv_date_sk#27, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_date_sk#32, d_moy#33] + +(36) HashAggregate [codegen id : 8] +Input [5]: [inv_quantity_on_hand#26, i_item_sk#29, w_warehouse_sk#30, w_warehouse_name#31, d_moy#33] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [partial_stddev_samp(cast(inv_quantity_on_hand#26 as double)), partial_avg(inv_quantity_on_hand#26)] +Aggregate Attributes [5]: [n#34, avg#35, m2#36, sum#37, count#38] +Results [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] + +(37) CometColumnarExchange +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Arguments: hashpartitioning(w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(38) CometHashAggregate +Input [9]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33, n#39, avg#40, m2#41, sum#42, count#43] +Keys [4]: [w_warehouse_name#31, w_warehouse_sk#30, i_item_sk#29, d_moy#33] +Functions [2]: [stddev_samp(cast(inv_quantity_on_hand#26 as double)), avg(inv_quantity_on_hand#26)] -(45) CometColumnarExchange -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#47 ASC NULLS FIRST, cov#48 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(39) CometFilter +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#44, mean#45] +Condition : CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#45)) = 0.0) THEN false ELSE (knownfloatingpointnormalized(normalizenanandzero((stdev#44 / knownfloatingpointnormalized(normalizenanandzero(mean#45))))) > 1.0) END -(46) CometSort -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] -Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#24 ASC NULLS FIRST, cov#25 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, mean#47 ASC NULLS FIRST, cov#48 ASC NULLS FIRST] +(40) CometProject +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, stdev#44, mean#45] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46], [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, CASE WHEN (knownfloatingpointnormalized(normalizenanandzero(mean#45)) = 0.0) THEN null ELSE (stdev#44 / knownfloatingpointnormalized(normalizenanandzero(mean#45))) END AS cov#46] -(47) CometColumnarToRow [codegen id : 11] -Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#24, cov#25, w_warehouse_sk#32, i_item_sk#31, d_moy#35, mean#47, cov#48] +(41) CometBroadcastExchange +Input [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] + +(42) CometBroadcastHashJoin +Left output [5]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23] +Right output [5]: [w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [i_item_sk#6, w_warehouse_sk#7], [i_item_sk#29, w_warehouse_sk#30], Inner, BuildRight + +(43) CometExchange +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: rangepartitioning(w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#45 ASC NULLS FIRST, cov#46 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(44) CometSort +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] +Arguments: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46], [w_warehouse_sk#7 ASC NULLS FIRST, i_item_sk#6 ASC NULLS FIRST, d_moy#10 ASC NULLS FIRST, mean#22 ASC NULLS FIRST, cov#23 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, mean#45 ASC NULLS FIRST, cov#46 ASC NULLS FIRST] + +(45) CometColumnarToRow [codegen id : 9] +Input [10]: [w_warehouse_sk#7, i_item_sk#6, d_moy#10, mean#22, cov#23, w_warehouse_sk#30, i_item_sk#29, d_moy#33, mean#45, cov#46] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (50) ++- * CometColumnarToRow (49) + +- CometProject (48) + +- CometFilter (47) + +- CometNativeScan parquet spark_catalog.default.date_dim (46) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#49, d_moy#10] +(46) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#9, d_year#47, d_moy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,1), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#9, d_year#49, d_moy#10] -Condition : ((((isnotnull(d_year#49) AND isnotnull(d_moy#10)) AND (d_year#49 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) +(47) CometFilter +Input [3]: [d_date_sk#9, d_year#47, d_moy#10] +Condition : ((((isnotnull(d_year#47) AND isnotnull(d_moy#10)) AND (d_year#47 = 2001)) AND (d_moy#10 = 1)) AND isnotnull(d_date_sk#9)) -(50) CometProject -Input [3]: [d_date_sk#9, d_year#49, d_moy#10] +(48) CometProject +Input [3]: [d_date_sk#9, d_year#47, d_moy#10] Arguments: [d_date_sk#9, d_moy#10], [d_date_sk#9, d_moy#10] -(51) CometColumnarToRow [codegen id : 1] +(49) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#9, d_moy#10] -(52) BroadcastExchange +(50) BroadcastExchange Input [2]: [d_date_sk#9, d_moy#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -Subquery:2 Hosting operator id = 25 Hosting Expression = inv_date_sk#29 IN dynamicpruning#30 -BroadcastExchange (57) -+- * CometColumnarToRow (56) - +- CometProject (55) - +- CometFilter (54) - +- CometNativeScan parquet spark_catalog.default.date_dim (53) +Subquery:2 Hosting operator id = 24 Hosting Expression = inv_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#34, d_year#50, d_moy#35] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#32, d_year#48, d_moy#33] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(54) CometFilter -Input [3]: [d_date_sk#34, d_year#50, d_moy#35] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#35)) AND (d_year#50 = 2001)) AND (d_moy#35 = 2)) AND isnotnull(d_date_sk#34)) +(52) CometFilter +Input [3]: [d_date_sk#32, d_year#48, d_moy#33] +Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#33)) AND (d_year#48 = 2001)) AND (d_moy#33 = 2)) AND isnotnull(d_date_sk#32)) -(55) CometProject -Input [3]: [d_date_sk#34, d_year#50, d_moy#35] -Arguments: [d_date_sk#34, d_moy#35], [d_date_sk#34, d_moy#35] +(53) CometProject +Input [3]: [d_date_sk#32, d_year#48, d_moy#33] +Arguments: [d_date_sk#32, d_moy#33], [d_date_sk#32, d_moy#33] -(56) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#34, d_moy#35] +(54) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#32, d_moy#33] -(57) BroadcastExchange -Input [2]: [d_date_sk#34, d_moy#35] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +(55) BroadcastExchange +Input [2]: [d_date_sk#32, d_moy#33] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/extended.txt index e44cca98a1..44dca9257c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/extended.txt @@ -1,75 +1,73 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- BroadcastHashJoin - :- Project - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.warehouse - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometBroadcastHashJoin + :- CometProject + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.warehouse + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 24 out of 60 eligible operators (40%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 32 out of 60 eligible operators (53%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/simplified.txt index 11dd59a97f..534680d8c3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q39b.native_datafusion/simplified.txt @@ -1,84 +1,77 @@ -WholeStageCodegen (11) +WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] - CometColumnarExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 - WholeStageCodegen (10) - BroadcastHashJoin [i_item_sk,w_warehouse_sk,i_item_sk,w_warehouse_sk] - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk] - CometNativeScan parquet spark_catalog.default.item [i_item_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [w_warehouse_sk,w_warehouse_name] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] - InputAdapter - ReusedExchange [d_date_sk,d_moy] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (9) - Project [w_warehouse_sk,i_item_sk,d_moy,mean,stdev] - Filter [mean,stdev] - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,n,avg,m2,sum,count] [stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand),stdev,mean,n,avg,m2,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 - WholeStageCodegen (8) - HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] - Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] - BroadcastHashJoin [inv_date_sk,d_date_sk] - Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] - BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] - Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] - BroadcastHashJoin [inv_item_sk,i_item_sk] - Filter [inv_item_sk,inv_warehouse_sk] - ColumnarToRow + CometExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov,d_moy,mean,cov] #1 + CometBroadcastHashJoin [w_warehouse_sk,i_item_sk,d_moy,mean,cov,w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [i_item_sk] #4 + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + CometFilter [i_item_sk] + CometNativeScan parquet spark_catalog.default.item [i_item_sk] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #8 + CometFilter [w_warehouse_sk,w_warehouse_name] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #3 + CometBroadcastExchange [w_warehouse_sk,i_item_sk,d_moy,mean,cov] #6 + CometProject [stdev] [w_warehouse_sk,i_item_sk,d_moy,mean,cov] + CometFilter [w_warehouse_sk,i_item_sk,d_moy,stdev,mean] + CometHashAggregate [w_warehouse_name,n,avg,m2,sum,count] [w_warehouse_sk,i_item_sk,d_moy,stdev,mean,stddev_samp(cast(inv_quantity_on_hand as double)),avg(inv_quantity_on_hand)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy] #7 + WholeStageCodegen (8) + HashAggregate [w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy,inv_quantity_on_hand] [n,avg,m2,sum,count,n,avg,m2,sum,count] + Project [inv_quantity_on_hand,i_item_sk,w_warehouse_sk,w_warehouse_name,d_moy] + BroadcastHashJoin [inv_date_sk,d_date_sk] + Project [inv_quantity_on_hand,inv_date_sk,i_item_sk,w_warehouse_sk,w_warehouse_name] + BroadcastHashJoin [inv_warehouse_sk,w_warehouse_sk] + Project [inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk,i_item_sk] + BroadcastHashJoin [inv_item_sk,i_item_sk] + Filter [inv_item_sk,inv_warehouse_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.inventory [inv_item_sk,inv_warehouse_sk,inv_quantity_on_hand,inv_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [i_item_sk] #4 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name] #5 + InputAdapter + ReusedExchange [d_date_sk,d_moy] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/explain.txt index 57160be074..9f31cd4690 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/explain.txt @@ -1,124 +1,119 @@ == Physical Plan == -TakeOrderedAndProject (120) -+- * Project (119) - +- * BroadcastHashJoin Inner BuildRight (118) - :- * Project (99) - : +- * BroadcastHashJoin Inner BuildRight (98) - : :- * Project (78) - : : +- * BroadcastHashJoin Inner BuildRight (77) - : : :- * Project (58) - : : : +- * BroadcastHashJoin Inner BuildRight (57) - : : : :- * BroadcastHashJoin Inner BuildRight (37) - : : : : :- * Filter (18) - : : : : : +- * HashAggregate (17) - : : : : : +- * CometColumnarToRow (16) - : : : : : +- CometColumnarExchange (15) - : : : : : +- * HashAggregate (14) - : : : : : +- * Project (13) - : : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * CometColumnarToRow (4) - : : : : : : : +- CometProject (3) - : : : : : : : +- CometFilter (2) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * Filter (7) - : : : : : : +- * ColumnarToRow (6) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : : : +- ReusedExchange (11) - : : : : +- BroadcastExchange (36) - : : : : +- * HashAggregate (35) - : : : : +- * CometColumnarToRow (34) - : : : : +- CometColumnarExchange (33) - : : : : +- * HashAggregate (32) - : : : : +- * Project (31) - : : : : +- * BroadcastHashJoin Inner BuildRight (30) - : : : : :- * Project (28) - : : : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : : : :- * CometColumnarToRow (22) - : : : : : : +- CometProject (21) - : : : : : : +- CometFilter (20) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : : : +- BroadcastExchange (26) - : : : : : +- * Filter (25) - : : : : : +- * ColumnarToRow (24) - : : : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : : : +- ReusedExchange (29) - : : : +- BroadcastExchange (56) - : : : +- * Filter (55) - : : : +- * HashAggregate (54) - : : : +- * CometColumnarToRow (53) - : : : +- CometColumnarExchange (52) - : : : +- * HashAggregate (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * Project (47) - : : : : +- * BroadcastHashJoin Inner BuildRight (46) - : : : : :- * CometColumnarToRow (41) - : : : : : +- CometProject (40) - : : : : : +- CometFilter (39) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : : : +- BroadcastExchange (45) - : : : : +- * Filter (44) - : : : : +- * ColumnarToRow (43) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (42) - : : : +- ReusedExchange (48) - : : +- BroadcastExchange (76) - : : +- * HashAggregate (75) - : : +- * CometColumnarToRow (74) - : : +- CometColumnarExchange (73) - : : +- * HashAggregate (72) - : : +- * Project (71) - : : +- * BroadcastHashJoin Inner BuildRight (70) - : : :- * Project (68) - : : : +- * BroadcastHashJoin Inner BuildRight (67) - : : : :- * CometColumnarToRow (62) - : : : : +- CometProject (61) - : : : : +- CometFilter (60) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : : : +- BroadcastExchange (66) - : : : +- * Filter (65) - : : : +- * ColumnarToRow (64) - : : : +- Scan parquet spark_catalog.default.catalog_sales (63) - : : +- ReusedExchange (69) - : +- BroadcastExchange (97) - : +- * Filter (96) - : +- * HashAggregate (95) - : +- * CometColumnarToRow (94) - : +- CometColumnarExchange (93) - : +- * HashAggregate (92) - : +- * Project (91) - : +- * BroadcastHashJoin Inner BuildRight (90) - : :- * Project (88) - : : +- * BroadcastHashJoin Inner BuildRight (87) - : : :- * CometColumnarToRow (82) - : : : +- CometProject (81) - : : : +- CometFilter (80) - : : : +- CometNativeScan parquet spark_catalog.default.customer (79) - : : +- BroadcastExchange (86) - : : +- * Filter (85) - : : +- * ColumnarToRow (84) - : : +- Scan parquet spark_catalog.default.web_sales (83) - : +- ReusedExchange (89) - +- BroadcastExchange (117) - +- * HashAggregate (116) - +- * CometColumnarToRow (115) - +- CometColumnarExchange (114) - +- * HashAggregate (113) - +- * Project (112) - +- * BroadcastHashJoin Inner BuildRight (111) - :- * Project (109) - : +- * BroadcastHashJoin Inner BuildRight (108) - : :- * CometColumnarToRow (103) - : : +- CometProject (102) - : : +- CometFilter (101) - : : +- CometNativeScan parquet spark_catalog.default.customer (100) - : +- BroadcastExchange (107) - : +- * Filter (106) - : +- * ColumnarToRow (105) - : +- Scan parquet spark_catalog.default.web_sales (104) - +- ReusedExchange (110) +* CometColumnarToRow (115) ++- CometTakeOrderedAndProject (114) + +- CometProject (113) + +- CometBroadcastHashJoin (112) + :- CometProject (94) + : +- CometBroadcastHashJoin (93) + : :- CometProject (74) + : : +- CometBroadcastHashJoin (73) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometBroadcastHashJoin (35) + : : : : :- CometFilter (17) + : : : : : +- CometHashAggregate (16) + : : : : : +- CometColumnarExchange (15) + : : : : : +- * HashAggregate (14) + : : : : : +- * Project (13) + : : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * CometColumnarToRow (4) + : : : : : : : +- CometProject (3) + : : : : : : : +- CometFilter (2) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * Filter (7) + : : : : : : +- * ColumnarToRow (6) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : : : +- ReusedExchange (11) + : : : : +- CometBroadcastExchange (34) + : : : : +- CometHashAggregate (33) + : : : : +- CometColumnarExchange (32) + : : : : +- * HashAggregate (31) + : : : : +- * Project (30) + : : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : : :- * Project (27) + : : : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : : : :- * CometColumnarToRow (21) + : : : : : : +- CometProject (20) + : : : : : : +- CometFilter (19) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Filter (24) + : : : : : +- * ColumnarToRow (23) + : : : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : : : +- ReusedExchange (28) + : : : +- CometBroadcastExchange (53) + : : : +- CometFilter (52) + : : : +- CometHashAggregate (51) + : : : +- CometColumnarExchange (50) + : : : +- * HashAggregate (49) + : : : +- * Project (48) + : : : +- * BroadcastHashJoin Inner BuildRight (47) + : : : :- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * CometColumnarToRow (39) + : : : : : +- CometProject (38) + : : : : : +- CometFilter (37) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : : : +- BroadcastExchange (43) + : : : : +- * Filter (42) + : : : : +- * ColumnarToRow (41) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (40) + : : : +- ReusedExchange (46) + : : +- CometBroadcastExchange (72) + : : +- CometHashAggregate (71) + : : +- CometColumnarExchange (70) + : : +- * HashAggregate (69) + : : +- * Project (68) + : : +- * BroadcastHashJoin Inner BuildRight (67) + : : :- * Project (65) + : : : +- * BroadcastHashJoin Inner BuildRight (64) + : : : :- * CometColumnarToRow (59) + : : : : +- CometProject (58) + : : : : +- CometFilter (57) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : : : +- BroadcastExchange (63) + : : : +- * Filter (62) + : : : +- * ColumnarToRow (61) + : : : +- Scan parquet spark_catalog.default.catalog_sales (60) + : : +- ReusedExchange (66) + : +- CometBroadcastExchange (92) + : +- CometFilter (91) + : +- CometHashAggregate (90) + : +- CometColumnarExchange (89) + : +- * HashAggregate (88) + : +- * Project (87) + : +- * BroadcastHashJoin Inner BuildRight (86) + : :- * Project (84) + : : +- * BroadcastHashJoin Inner BuildRight (83) + : : :- * CometColumnarToRow (78) + : : : +- CometProject (77) + : : : +- CometFilter (76) + : : : +- CometNativeScan parquet spark_catalog.default.customer (75) + : : +- BroadcastExchange (82) + : : +- * Filter (81) + : : +- * ColumnarToRow (80) + : : +- Scan parquet spark_catalog.default.web_sales (79) + : +- ReusedExchange (85) + +- CometBroadcastExchange (111) + +- CometHashAggregate (110) + +- CometColumnarExchange (109) + +- * HashAggregate (108) + +- * Project (107) + +- * BroadcastHashJoin Inner BuildRight (106) + :- * Project (104) + : +- * BroadcastHashJoin Inner BuildRight (103) + : :- * CometColumnarToRow (98) + : : +- CometProject (97) + : : +- CometFilter (96) + : : +- CometNativeScan parquet spark_catalog.default.customer (95) + : +- BroadcastExchange (102) + : +- * Filter (101) + : +- * ColumnarToRow (100) + : +- Scan parquet spark_catalog.default.web_sales (99) + +- ReusedExchange (105) (1) CometNativeScan parquet spark_catalog.default.customer @@ -168,7 +163,7 @@ Join condition: None Output [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] Input [14]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_sales_price#17, ss_ext_wholesale_cost#18, ss_ext_list_price#19, ss_sold_date_sk#20] -(11) ReusedExchange [Reuses operator id: 124] +(11) ReusedExchange [Reuses operator id: 119] Output [2]: [d_date_sk#22, d_year#23] (12) BroadcastHashJoin [codegen id : 3] @@ -192,561 +187,529 @@ Results [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cus Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 24] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] - -(17) HashAggregate [codegen id : 24] +(16) CometHashAggregate Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23, sum#26, isEmpty#27] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, d_year#23] Functions [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28] -Results [2]: [c_customer_id#9 AS customer_id#29, sum(((((ss_ext_list_price#19 - ss_ext_wholesale_cost#18) - ss_ext_discount_amt#16) + ss_ext_sales_price#17) / 2))#28 AS year_total#30] -(18) Filter [codegen id : 24] -Input [2]: [customer_id#29, year_total#30] -Condition : (isnotnull(year_total#30) AND (year_total#30 > 0.000000)) +(17) CometFilter +Input [2]: [customer_id#28, year_total#29] +Condition : (isnotnull(year_total#29) AND (year_total#29 > 0.000000)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Condition : (isnotnull(c_customer_sk#31) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#32, 16)))) +(19) CometFilter +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Condition : (isnotnull(c_customer_sk#30) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#31, 16)))) -(21) CometProject -Input [8]: [c_customer_sk#31, c_customer_id#32, c_first_name#33, c_last_name#34, c_preferred_cust_flag#35, c_birth_country#36, c_login#37, c_email_address#38] -Arguments: [c_customer_sk#31, c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44], [c_customer_sk#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#32, 16)) AS c_customer_id#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#33, 20)) AS c_first_name#40, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#34, 30)) AS c_last_name#41, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#35, 1)) AS c_preferred_cust_flag#42, c_birth_country#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#37, 13)) AS c_login#43, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#38, 50)) AS c_email_address#44] +(20) CometProject +Input [8]: [c_customer_sk#30, c_customer_id#31, c_first_name#32, c_last_name#33, c_preferred_cust_flag#34, c_birth_country#35, c_login#36, c_email_address#37] +Arguments: [c_customer_sk#30, c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43], [c_customer_sk#30, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#31, 16)) AS c_customer_id#38, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#32, 20)) AS c_first_name#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#33, 30)) AS c_last_name#40, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#34, 1)) AS c_preferred_cust_flag#41, c_birth_country#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#36, 13)) AS c_login#42, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#37, 50)) AS c_email_address#43] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#31, c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#30, c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43] -(23) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_customer_sk#45, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] +(22) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_customer_sk#44, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#50), dynamicpruningexpression(ss_sold_date_sk#50 IN dynamicpruning#51)] +PartitionFilters: [isnotnull(ss_sold_date_sk#49), dynamicpruningexpression(ss_sold_date_sk#49 IN dynamicpruning#50)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [6]: [ss_customer_sk#45, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] +(23) ColumnarToRow [codegen id : 4] +Input [6]: [ss_customer_sk#44, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] -(25) Filter [codegen id : 4] -Input [6]: [ss_customer_sk#45, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] -Condition : isnotnull(ss_customer_sk#45) +(24) Filter [codegen id : 4] +Input [6]: [ss_customer_sk#44, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] +Condition : isnotnull(ss_customer_sk#44) -(26) BroadcastExchange -Input [6]: [ss_customer_sk#45, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] +(25) BroadcastExchange +Input [6]: [ss_customer_sk#44, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#31] -Right keys [1]: [ss_customer_sk#45] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#30] +Right keys [1]: [ss_customer_sk#44] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [12]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] -Input [14]: [c_customer_sk#31, c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, ss_customer_sk#45, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50] +(27) Project [codegen id : 6] +Output [12]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] +Input [14]: [c_customer_sk#30, c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, ss_customer_sk#44, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49] -(29) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#52, d_year#53] +(28) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#51, d_year#52] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#50] -Right keys [1]: [d_date_sk#52] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#49] +Right keys [1]: [d_date_sk#51] Join type: Inner Join condition: None -(31) Project [codegen id : 6] -Output [12]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, d_year#53] -Input [14]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, ss_sold_date_sk#50, d_date_sk#52, d_year#53] - -(32) HashAggregate [codegen id : 6] -Input [12]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, ss_ext_discount_amt#46, ss_ext_sales_price#47, ss_ext_wholesale_cost#48, ss_ext_list_price#49, d_year#53] -Keys [8]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53] -Functions [1]: [partial_sum(((((ss_ext_list_price#49 - ss_ext_wholesale_cost#48) - ss_ext_discount_amt#46) + ss_ext_sales_price#47) / 2))] -Aggregate Attributes [2]: [sum#54, isEmpty#55] -Results [10]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53, sum#56, isEmpty#57] - -(33) CometColumnarExchange -Input [10]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53, sum#56, isEmpty#57] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [10]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53, sum#56, isEmpty#57] - -(35) HashAggregate [codegen id : 7] -Input [10]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53, sum#56, isEmpty#57] -Keys [8]: [c_customer_id#39, c_first_name#40, c_last_name#41, c_preferred_cust_flag#42, c_birth_country#36, c_login#43, c_email_address#44, d_year#53] -Functions [1]: [sum(((((ss_ext_list_price#49 - ss_ext_wholesale_cost#48) - ss_ext_discount_amt#46) + ss_ext_sales_price#47) / 2))] -Aggregate Attributes [1]: [sum(((((ss_ext_list_price#49 - ss_ext_wholesale_cost#48) - ss_ext_discount_amt#46) + ss_ext_sales_price#47) / 2))#28] -Results [8]: [c_customer_id#39 AS customer_id#58, c_first_name#40 AS customer_first_name#59, c_last_name#41 AS customer_last_name#60, c_preferred_cust_flag#42 AS customer_preferred_cust_flag#61, c_birth_country#36 AS customer_birth_country#62, c_login#43 AS customer_login#63, c_email_address#44 AS customer_email_address#64, sum(((((ss_ext_list_price#49 - ss_ext_wholesale_cost#48) - ss_ext_discount_amt#46) + ss_ext_sales_price#47) / 2))#28 AS year_total#65] - -(36) BroadcastExchange -Input [8]: [customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#65] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#58] -Join type: Inner -Join condition: None - -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#66, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#71, c_login#72, c_email_address#73] +(30) Project [codegen id : 6] +Output [12]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, d_year#52] +Input [14]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, ss_sold_date_sk#49, d_date_sk#51, d_year#52] + +(31) HashAggregate [codegen id : 6] +Input [12]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, ss_ext_discount_amt#45, ss_ext_sales_price#46, ss_ext_wholesale_cost#47, ss_ext_list_price#48, d_year#52] +Keys [8]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52] +Functions [1]: [partial_sum(((((ss_ext_list_price#48 - ss_ext_wholesale_cost#47) - ss_ext_discount_amt#45) + ss_ext_sales_price#46) / 2))] +Aggregate Attributes [2]: [sum#53, isEmpty#54] +Results [10]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52, sum#55, isEmpty#56] + +(32) CometColumnarExchange +Input [10]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52, sum#55, isEmpty#56] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [10]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52, sum#55, isEmpty#56] +Keys [8]: [c_customer_id#38, c_first_name#39, c_last_name#40, c_preferred_cust_flag#41, c_birth_country#35, c_login#42, c_email_address#43, d_year#52] +Functions [1]: [sum(((((ss_ext_list_price#48 - ss_ext_wholesale_cost#47) - ss_ext_discount_amt#45) + ss_ext_sales_price#46) / 2))] + +(34) CometBroadcastExchange +Input [8]: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64] +Arguments: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#28, year_total#29] +Right output [8]: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64] +Arguments: [customer_id#28], [customer_id#57], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#65, c_customer_id#66, c_first_name#67, c_last_name#68, c_preferred_cust_flag#69, c_birth_country#70, c_login#71, c_email_address#72] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#66, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#71, c_login#72, c_email_address#73] -Condition : (isnotnull(c_customer_sk#66) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#67, 16)))) +(37) CometFilter +Input [8]: [c_customer_sk#65, c_customer_id#66, c_first_name#67, c_last_name#68, c_preferred_cust_flag#69, c_birth_country#70, c_login#71, c_email_address#72] +Condition : (isnotnull(c_customer_sk#65) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#66, 16)))) -(40) CometProject -Input [8]: [c_customer_sk#66, c_customer_id#67, c_first_name#68, c_last_name#69, c_preferred_cust_flag#70, c_birth_country#71, c_login#72, c_email_address#73] -Arguments: [c_customer_sk#66, c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79], [c_customer_sk#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#67, 16)) AS c_customer_id#74, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#68, 20)) AS c_first_name#75, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#69, 30)) AS c_last_name#76, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#70, 1)) AS c_preferred_cust_flag#77, c_birth_country#71, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#72, 13)) AS c_login#78, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#73, 50)) AS c_email_address#79] +(38) CometProject +Input [8]: [c_customer_sk#65, c_customer_id#66, c_first_name#67, c_last_name#68, c_preferred_cust_flag#69, c_birth_country#70, c_login#71, c_email_address#72] +Arguments: [c_customer_sk#65, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78], [c_customer_sk#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#66, 16)) AS c_customer_id#73, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#67, 20)) AS c_first_name#74, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#68, 30)) AS c_last_name#75, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#69, 1)) AS c_preferred_cust_flag#76, c_birth_country#70, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#71, 13)) AS c_login#77, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#72, 50)) AS c_email_address#78] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#66, c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#65, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78] -(42) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#80, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] +(40) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#79, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#85), dynamicpruningexpression(cs_sold_date_sk#85 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(cs_sold_date_sk#84), dynamicpruningexpression(cs_sold_date_sk#84 IN dynamicpruning#21)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [6]: [cs_bill_customer_sk#80, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] +(41) ColumnarToRow [codegen id : 7] +Input [6]: [cs_bill_customer_sk#79, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] -(44) Filter [codegen id : 8] -Input [6]: [cs_bill_customer_sk#80, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] -Condition : isnotnull(cs_bill_customer_sk#80) +(42) Filter [codegen id : 7] +Input [6]: [cs_bill_customer_sk#79, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] +Condition : isnotnull(cs_bill_customer_sk#79) -(45) BroadcastExchange -Input [6]: [cs_bill_customer_sk#80, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [6]: [cs_bill_customer_sk#79, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#66] -Right keys [1]: [cs_bill_customer_sk#80] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#65] +Right keys [1]: [cs_bill_customer_sk#79] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [12]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] -Input [14]: [c_customer_sk#66, c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, cs_bill_customer_sk#80, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85] +(45) Project [codegen id : 9] +Output [12]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] +Input [14]: [c_customer_sk#65, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, cs_bill_customer_sk#79, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84] -(48) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#86, d_year#87] +(46) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#85, d_year#86] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#85] -Right keys [1]: [d_date_sk#86] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#84] +Right keys [1]: [d_date_sk#85] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [12]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, d_year#87] -Input [14]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, cs_sold_date_sk#85, d_date_sk#86, d_year#87] - -(51) HashAggregate [codegen id : 10] -Input [12]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, cs_ext_discount_amt#81, cs_ext_sales_price#82, cs_ext_wholesale_cost#83, cs_ext_list_price#84, d_year#87] -Keys [8]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87] -Functions [1]: [partial_sum(((((cs_ext_list_price#84 - cs_ext_wholesale_cost#83) - cs_ext_discount_amt#81) + cs_ext_sales_price#82) / 2))] -Aggregate Attributes [2]: [sum#88, isEmpty#89] -Results [10]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87, sum#90, isEmpty#91] - -(52) CometColumnarExchange -Input [10]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87, sum#90, isEmpty#91] -Arguments: hashpartitioning(c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [10]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87, sum#90, isEmpty#91] - -(54) HashAggregate [codegen id : 11] -Input [10]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87, sum#90, isEmpty#91] -Keys [8]: [c_customer_id#74, c_first_name#75, c_last_name#76, c_preferred_cust_flag#77, c_birth_country#71, c_login#78, c_email_address#79, d_year#87] -Functions [1]: [sum(((((cs_ext_list_price#84 - cs_ext_wholesale_cost#83) - cs_ext_discount_amt#81) + cs_ext_sales_price#82) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#84 - cs_ext_wholesale_cost#83) - cs_ext_discount_amt#81) + cs_ext_sales_price#82) / 2))#92] -Results [2]: [c_customer_id#74 AS customer_id#93, sum(((((cs_ext_list_price#84 - cs_ext_wholesale_cost#83) - cs_ext_discount_amt#81) + cs_ext_sales_price#82) / 2))#92 AS year_total#94] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#93, year_total#94] -Condition : (isnotnull(year_total#94) AND (year_total#94 > 0.000000)) - -(56) BroadcastExchange -Input [2]: [customer_id#93, year_total#94] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#93] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 24] -Output [11]: [customer_id#29, year_total#30, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#65, year_total#94] -Input [12]: [customer_id#29, year_total#30, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#65, customer_id#93, year_total#94] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#95, c_customer_id#96, c_first_name#97, c_last_name#98, c_preferred_cust_flag#99, c_birth_country#100, c_login#101, c_email_address#102] +(48) Project [codegen id : 9] +Output [12]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, d_year#86] +Input [14]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, cs_sold_date_sk#84, d_date_sk#85, d_year#86] + +(49) HashAggregate [codegen id : 9] +Input [12]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, cs_ext_discount_amt#80, cs_ext_sales_price#81, cs_ext_wholesale_cost#82, cs_ext_list_price#83, d_year#86] +Keys [8]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86] +Functions [1]: [partial_sum(((((cs_ext_list_price#83 - cs_ext_wholesale_cost#82) - cs_ext_discount_amt#80) + cs_ext_sales_price#81) / 2))] +Aggregate Attributes [2]: [sum#87, isEmpty#88] +Results [10]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86, sum#89, isEmpty#90] + +(50) CometColumnarExchange +Input [10]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86, sum#89, isEmpty#90] +Arguments: hashpartitioning(c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [10]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86, sum#89, isEmpty#90] +Keys [8]: [c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#70, c_login#77, c_email_address#78, d_year#86] +Functions [1]: [sum(((((cs_ext_list_price#83 - cs_ext_wholesale_cost#82) - cs_ext_discount_amt#80) + cs_ext_sales_price#81) / 2))] + +(52) CometFilter +Input [2]: [customer_id#91, year_total#92] +Condition : (isnotnull(year_total#92) AND (year_total#92 > 0.000000)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#91, year_total#92] +Arguments: [customer_id#91, year_total#92] + +(54) CometBroadcastHashJoin +Left output [10]: [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64] +Right output [2]: [customer_id#91, year_total#92] +Arguments: [customer_id#28], [customer_id#91], Inner, BuildRight + +(55) CometProject +Input [12]: [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64, customer_id#91, year_total#92] +Arguments: [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64, year_total#92], [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64, year_total#92] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#93, c_customer_id#94, c_first_name#95, c_last_name#96, c_preferred_cust_flag#97, c_birth_country#98, c_login#99, c_email_address#100] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#95, c_customer_id#96, c_first_name#97, c_last_name#98, c_preferred_cust_flag#99, c_birth_country#100, c_login#101, c_email_address#102] -Condition : (isnotnull(c_customer_sk#95) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#96, 16)))) +(57) CometFilter +Input [8]: [c_customer_sk#93, c_customer_id#94, c_first_name#95, c_last_name#96, c_preferred_cust_flag#97, c_birth_country#98, c_login#99, c_email_address#100] +Condition : (isnotnull(c_customer_sk#93) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#94, 16)))) -(61) CometProject -Input [8]: [c_customer_sk#95, c_customer_id#96, c_first_name#97, c_last_name#98, c_preferred_cust_flag#99, c_birth_country#100, c_login#101, c_email_address#102] -Arguments: [c_customer_sk#95, c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108], [c_customer_sk#95, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#96, 16)) AS c_customer_id#103, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#97, 20)) AS c_first_name#104, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#98, 30)) AS c_last_name#105, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#99, 1)) AS c_preferred_cust_flag#106, c_birth_country#100, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#101, 13)) AS c_login#107, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#102, 50)) AS c_email_address#108] +(58) CometProject +Input [8]: [c_customer_sk#93, c_customer_id#94, c_first_name#95, c_last_name#96, c_preferred_cust_flag#97, c_birth_country#98, c_login#99, c_email_address#100] +Arguments: [c_customer_sk#93, c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106], [c_customer_sk#93, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#94, 16)) AS c_customer_id#101, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#95, 20)) AS c_first_name#102, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#96, 30)) AS c_last_name#103, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#97, 1)) AS c_preferred_cust_flag#104, c_birth_country#98, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#99, 13)) AS c_login#105, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#100, 50)) AS c_email_address#106] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#95, c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#93, c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106] -(63) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_bill_customer_sk#109, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] +(60) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_bill_customer_sk#107, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#114), dynamicpruningexpression(cs_sold_date_sk#114 IN dynamicpruning#51)] +PartitionFilters: [isnotnull(cs_sold_date_sk#112), dynamicpruningexpression(cs_sold_date_sk#112 IN dynamicpruning#50)] PushedFilters: [IsNotNull(cs_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [6]: [cs_bill_customer_sk#109, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] +(61) ColumnarToRow [codegen id : 10] +Input [6]: [cs_bill_customer_sk#107, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] -(65) Filter [codegen id : 12] -Input [6]: [cs_bill_customer_sk#109, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] -Condition : isnotnull(cs_bill_customer_sk#109) +(62) Filter [codegen id : 10] +Input [6]: [cs_bill_customer_sk#107, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] +Condition : isnotnull(cs_bill_customer_sk#107) -(66) BroadcastExchange -Input [6]: [cs_bill_customer_sk#109, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [6]: [cs_bill_customer_sk#107, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#95] -Right keys [1]: [cs_bill_customer_sk#109] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#93] +Right keys [1]: [cs_bill_customer_sk#107] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [12]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] -Input [14]: [c_customer_sk#95, c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, cs_bill_customer_sk#109, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114] +(65) Project [codegen id : 12] +Output [12]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] +Input [14]: [c_customer_sk#93, c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, cs_bill_customer_sk#107, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112] -(69) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#115, d_year#116] +(66) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#113, d_year#114] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [cs_sold_date_sk#114] -Right keys [1]: [d_date_sk#115] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cs_sold_date_sk#112] +Right keys [1]: [d_date_sk#113] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [12]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, d_year#116] -Input [14]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, cs_sold_date_sk#114, d_date_sk#115, d_year#116] - -(72) HashAggregate [codegen id : 14] -Input [12]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, cs_ext_discount_amt#110, cs_ext_sales_price#111, cs_ext_wholesale_cost#112, cs_ext_list_price#113, d_year#116] -Keys [8]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116] -Functions [1]: [partial_sum(((((cs_ext_list_price#113 - cs_ext_wholesale_cost#112) - cs_ext_discount_amt#110) + cs_ext_sales_price#111) / 2))] -Aggregate Attributes [2]: [sum#117, isEmpty#118] -Results [10]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116, sum#119, isEmpty#120] - -(73) CometColumnarExchange -Input [10]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116, sum#119, isEmpty#120] -Arguments: hashpartitioning(c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [10]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116, sum#119, isEmpty#120] - -(75) HashAggregate [codegen id : 15] -Input [10]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116, sum#119, isEmpty#120] -Keys [8]: [c_customer_id#103, c_first_name#104, c_last_name#105, c_preferred_cust_flag#106, c_birth_country#100, c_login#107, c_email_address#108, d_year#116] -Functions [1]: [sum(((((cs_ext_list_price#113 - cs_ext_wholesale_cost#112) - cs_ext_discount_amt#110) + cs_ext_sales_price#111) / 2))] -Aggregate Attributes [1]: [sum(((((cs_ext_list_price#113 - cs_ext_wholesale_cost#112) - cs_ext_discount_amt#110) + cs_ext_sales_price#111) / 2))#92] -Results [2]: [c_customer_id#103 AS customer_id#121, sum(((((cs_ext_list_price#113 - cs_ext_wholesale_cost#112) - cs_ext_discount_amt#110) + cs_ext_sales_price#111) / 2))#92 AS year_total#122] - -(76) BroadcastExchange -Input [2]: [customer_id#121, year_total#122] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#121] -Join type: Inner -Join condition: (CASE WHEN (year_total#94 > 0.000000) THEN (year_total#122 / year_total#94) END > CASE WHEN (year_total#30 > 0.000000) THEN (year_total#65 / year_total#30) END) - -(78) Project [codegen id : 24] -Output [10]: [customer_id#29, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#94, year_total#122] -Input [13]: [customer_id#29, year_total#30, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#65, year_total#94, customer_id#121, year_total#122] - -(79) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#123, c_customer_id#124, c_first_name#125, c_last_name#126, c_preferred_cust_flag#127, c_birth_country#128, c_login#129, c_email_address#130] +(68) Project [codegen id : 12] +Output [12]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, d_year#114] +Input [14]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, cs_sold_date_sk#112, d_date_sk#113, d_year#114] + +(69) HashAggregate [codegen id : 12] +Input [12]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, cs_ext_discount_amt#108, cs_ext_sales_price#109, cs_ext_wholesale_cost#110, cs_ext_list_price#111, d_year#114] +Keys [8]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114] +Functions [1]: [partial_sum(((((cs_ext_list_price#111 - cs_ext_wholesale_cost#110) - cs_ext_discount_amt#108) + cs_ext_sales_price#109) / 2))] +Aggregate Attributes [2]: [sum#115, isEmpty#116] +Results [10]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114, sum#117, isEmpty#118] + +(70) CometColumnarExchange +Input [10]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114, sum#117, isEmpty#118] +Arguments: hashpartitioning(c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [10]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114, sum#117, isEmpty#118] +Keys [8]: [c_customer_id#101, c_first_name#102, c_last_name#103, c_preferred_cust_flag#104, c_birth_country#98, c_login#105, c_email_address#106, d_year#114] +Functions [1]: [sum(((((cs_ext_list_price#111 - cs_ext_wholesale_cost#110) - cs_ext_discount_amt#108) + cs_ext_sales_price#109) / 2))] + +(72) CometBroadcastExchange +Input [2]: [customer_id#119, year_total#120] +Arguments: [customer_id#119, year_total#120] + +(73) CometBroadcastHashJoin +Left output [11]: [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64, year_total#92] +Right output [2]: [customer_id#119, year_total#120] +Arguments: [customer_id#28], [customer_id#119], Inner, (CASE WHEN (year_total#92 > 0.000000) THEN (year_total#120 / year_total#92) END > CASE WHEN (year_total#29 > 0.000000) THEN (year_total#64 / year_total#29) END), BuildRight + +(74) CometProject +Input [13]: [customer_id#28, year_total#29, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#64, year_total#92, customer_id#119, year_total#120] +Arguments: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120], [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120] + +(75) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#121, c_customer_id#122, c_first_name#123, c_last_name#124, c_preferred_cust_flag#125, c_birth_country#126, c_login#127, c_email_address#128] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(80) CometFilter -Input [8]: [c_customer_sk#123, c_customer_id#124, c_first_name#125, c_last_name#126, c_preferred_cust_flag#127, c_birth_country#128, c_login#129, c_email_address#130] -Condition : (isnotnull(c_customer_sk#123) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#124, 16)))) +(76) CometFilter +Input [8]: [c_customer_sk#121, c_customer_id#122, c_first_name#123, c_last_name#124, c_preferred_cust_flag#125, c_birth_country#126, c_login#127, c_email_address#128] +Condition : (isnotnull(c_customer_sk#121) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#122, 16)))) -(81) CometProject -Input [8]: [c_customer_sk#123, c_customer_id#124, c_first_name#125, c_last_name#126, c_preferred_cust_flag#127, c_birth_country#128, c_login#129, c_email_address#130] -Arguments: [c_customer_sk#123, c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136], [c_customer_sk#123, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#124, 16)) AS c_customer_id#131, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#125, 20)) AS c_first_name#132, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#126, 30)) AS c_last_name#133, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#127, 1)) AS c_preferred_cust_flag#134, c_birth_country#128, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#129, 13)) AS c_login#135, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#130, 50)) AS c_email_address#136] +(77) CometProject +Input [8]: [c_customer_sk#121, c_customer_id#122, c_first_name#123, c_last_name#124, c_preferred_cust_flag#125, c_birth_country#126, c_login#127, c_email_address#128] +Arguments: [c_customer_sk#121, c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134], [c_customer_sk#121, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#122, 16)) AS c_customer_id#129, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#123, 20)) AS c_first_name#130, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#124, 30)) AS c_last_name#131, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#125, 1)) AS c_preferred_cust_flag#132, c_birth_country#126, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#127, 13)) AS c_login#133, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#128, 50)) AS c_email_address#134] -(82) CometColumnarToRow [codegen id : 18] -Input [8]: [c_customer_sk#123, c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136] +(78) CometColumnarToRow [codegen id : 15] +Input [8]: [c_customer_sk#121, c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134] -(83) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#137, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] +(79) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#135, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#142), dynamicpruningexpression(ws_sold_date_sk#142 IN dynamicpruning#21)] +PartitionFilters: [isnotnull(ws_sold_date_sk#140), dynamicpruningexpression(ws_sold_date_sk#140 IN dynamicpruning#21)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(84) ColumnarToRow [codegen id : 16] -Input [6]: [ws_bill_customer_sk#137, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] +(80) ColumnarToRow [codegen id : 13] +Input [6]: [ws_bill_customer_sk#135, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] -(85) Filter [codegen id : 16] -Input [6]: [ws_bill_customer_sk#137, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] -Condition : isnotnull(ws_bill_customer_sk#137) +(81) Filter [codegen id : 13] +Input [6]: [ws_bill_customer_sk#135, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] +Condition : isnotnull(ws_bill_customer_sk#135) -(86) BroadcastExchange -Input [6]: [ws_bill_customer_sk#137, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +(82) BroadcastExchange +Input [6]: [ws_bill_customer_sk#135, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -(87) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [c_customer_sk#123] -Right keys [1]: [ws_bill_customer_sk#137] +(83) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [c_customer_sk#121] +Right keys [1]: [ws_bill_customer_sk#135] Join type: Inner Join condition: None -(88) Project [codegen id : 18] -Output [12]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] -Input [14]: [c_customer_sk#123, c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, ws_bill_customer_sk#137, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142] - -(89) ReusedExchange [Reuses operator id: 124] -Output [2]: [d_date_sk#143, d_year#144] +(84) Project [codegen id : 15] +Output [12]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] +Input [14]: [c_customer_sk#121, c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, ws_bill_customer_sk#135, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140] -(90) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [ws_sold_date_sk#142] -Right keys [1]: [d_date_sk#143] -Join type: Inner -Join condition: None +(85) ReusedExchange [Reuses operator id: 119] +Output [2]: [d_date_sk#141, d_year#142] -(91) Project [codegen id : 18] -Output [12]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, d_year#144] -Input [14]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, ws_sold_date_sk#142, d_date_sk#143, d_year#144] - -(92) HashAggregate [codegen id : 18] -Input [12]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, ws_ext_discount_amt#138, ws_ext_sales_price#139, ws_ext_wholesale_cost#140, ws_ext_list_price#141, d_year#144] -Keys [8]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144] -Functions [1]: [partial_sum(((((ws_ext_list_price#141 - ws_ext_wholesale_cost#140) - ws_ext_discount_amt#138) + ws_ext_sales_price#139) / 2))] -Aggregate Attributes [2]: [sum#145, isEmpty#146] -Results [10]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144, sum#147, isEmpty#148] - -(93) CometColumnarExchange -Input [10]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144, sum#147, isEmpty#148] -Arguments: hashpartitioning(c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(94) CometColumnarToRow [codegen id : 19] -Input [10]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144, sum#147, isEmpty#148] - -(95) HashAggregate [codegen id : 19] -Input [10]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144, sum#147, isEmpty#148] -Keys [8]: [c_customer_id#131, c_first_name#132, c_last_name#133, c_preferred_cust_flag#134, c_birth_country#128, c_login#135, c_email_address#136, d_year#144] -Functions [1]: [sum(((((ws_ext_list_price#141 - ws_ext_wholesale_cost#140) - ws_ext_discount_amt#138) + ws_ext_sales_price#139) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#141 - ws_ext_wholesale_cost#140) - ws_ext_discount_amt#138) + ws_ext_sales_price#139) / 2))#149] -Results [2]: [c_customer_id#131 AS customer_id#150, sum(((((ws_ext_list_price#141 - ws_ext_wholesale_cost#140) - ws_ext_discount_amt#138) + ws_ext_sales_price#139) / 2))#149 AS year_total#151] - -(96) Filter [codegen id : 19] -Input [2]: [customer_id#150, year_total#151] -Condition : (isnotnull(year_total#151) AND (year_total#151 > 0.000000)) - -(97) BroadcastExchange -Input [2]: [customer_id#150, year_total#151] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=14] - -(98) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#150] +(86) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ws_sold_date_sk#140] +Right keys [1]: [d_date_sk#141] Join type: Inner Join condition: None -(99) Project [codegen id : 24] -Output [11]: [customer_id#29, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#94, year_total#122, year_total#151] -Input [12]: [customer_id#29, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#94, year_total#122, customer_id#150, year_total#151] - -(100) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#152, c_customer_id#153, c_first_name#154, c_last_name#155, c_preferred_cust_flag#156, c_birth_country#157, c_login#158, c_email_address#159] +(87) Project [codegen id : 15] +Output [12]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, d_year#142] +Input [14]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, ws_sold_date_sk#140, d_date_sk#141, d_year#142] + +(88) HashAggregate [codegen id : 15] +Input [12]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, ws_ext_discount_amt#136, ws_ext_sales_price#137, ws_ext_wholesale_cost#138, ws_ext_list_price#139, d_year#142] +Keys [8]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142] +Functions [1]: [partial_sum(((((ws_ext_list_price#139 - ws_ext_wholesale_cost#138) - ws_ext_discount_amt#136) + ws_ext_sales_price#137) / 2))] +Aggregate Attributes [2]: [sum#143, isEmpty#144] +Results [10]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142, sum#145, isEmpty#146] + +(89) CometColumnarExchange +Input [10]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142, sum#145, isEmpty#146] +Arguments: hashpartitioning(c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(90) CometHashAggregate +Input [10]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142, sum#145, isEmpty#146] +Keys [8]: [c_customer_id#129, c_first_name#130, c_last_name#131, c_preferred_cust_flag#132, c_birth_country#126, c_login#133, c_email_address#134, d_year#142] +Functions [1]: [sum(((((ws_ext_list_price#139 - ws_ext_wholesale_cost#138) - ws_ext_discount_amt#136) + ws_ext_sales_price#137) / 2))] + +(91) CometFilter +Input [2]: [customer_id#147, year_total#148] +Condition : (isnotnull(year_total#148) AND (year_total#148 > 0.000000)) + +(92) CometBroadcastExchange +Input [2]: [customer_id#147, year_total#148] +Arguments: [customer_id#147, year_total#148] + +(93) CometBroadcastHashJoin +Left output [10]: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120] +Right output [2]: [customer_id#147, year_total#148] +Arguments: [customer_id#28], [customer_id#147], Inner, BuildRight + +(94) CometProject +Input [12]: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120, customer_id#147, year_total#148] +Arguments: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120, year_total#148], [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120, year_total#148] + +(95) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#149, c_customer_id#150, c_first_name#151, c_last_name#152, c_preferred_cust_flag#153, c_birth_country#154, c_login#155, c_email_address#156] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(101) CometFilter -Input [8]: [c_customer_sk#152, c_customer_id#153, c_first_name#154, c_last_name#155, c_preferred_cust_flag#156, c_birth_country#157, c_login#158, c_email_address#159] -Condition : (isnotnull(c_customer_sk#152) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#153, 16)))) +(96) CometFilter +Input [8]: [c_customer_sk#149, c_customer_id#150, c_first_name#151, c_last_name#152, c_preferred_cust_flag#153, c_birth_country#154, c_login#155, c_email_address#156] +Condition : (isnotnull(c_customer_sk#149) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#150, 16)))) -(102) CometProject -Input [8]: [c_customer_sk#152, c_customer_id#153, c_first_name#154, c_last_name#155, c_preferred_cust_flag#156, c_birth_country#157, c_login#158, c_email_address#159] -Arguments: [c_customer_sk#152, c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165], [c_customer_sk#152, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#153, 16)) AS c_customer_id#160, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#154, 20)) AS c_first_name#161, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#155, 30)) AS c_last_name#162, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#156, 1)) AS c_preferred_cust_flag#163, c_birth_country#157, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#158, 13)) AS c_login#164, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#159, 50)) AS c_email_address#165] +(97) CometProject +Input [8]: [c_customer_sk#149, c_customer_id#150, c_first_name#151, c_last_name#152, c_preferred_cust_flag#153, c_birth_country#154, c_login#155, c_email_address#156] +Arguments: [c_customer_sk#149, c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162], [c_customer_sk#149, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#150, 16)) AS c_customer_id#157, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#151, 20)) AS c_first_name#158, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#152, 30)) AS c_last_name#159, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#153, 1)) AS c_preferred_cust_flag#160, c_birth_country#154, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#155, 13)) AS c_login#161, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#156, 50)) AS c_email_address#162] -(103) CometColumnarToRow [codegen id : 22] -Input [8]: [c_customer_sk#152, c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165] +(98) CometColumnarToRow [codegen id : 18] +Input [8]: [c_customer_sk#149, c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162] -(104) Scan parquet spark_catalog.default.web_sales -Output [6]: [ws_bill_customer_sk#166, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] +(99) Scan parquet spark_catalog.default.web_sales +Output [6]: [ws_bill_customer_sk#163, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#171), dynamicpruningexpression(ws_sold_date_sk#171 IN dynamicpruning#51)] +PartitionFilters: [isnotnull(ws_sold_date_sk#168), dynamicpruningexpression(ws_sold_date_sk#168 IN dynamicpruning#50)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(105) ColumnarToRow [codegen id : 20] -Input [6]: [ws_bill_customer_sk#166, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] +(100) ColumnarToRow [codegen id : 16] +Input [6]: [ws_bill_customer_sk#163, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] -(106) Filter [codegen id : 20] -Input [6]: [ws_bill_customer_sk#166, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] -Condition : isnotnull(ws_bill_customer_sk#166) +(101) Filter [codegen id : 16] +Input [6]: [ws_bill_customer_sk#163, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] +Condition : isnotnull(ws_bill_customer_sk#163) -(107) BroadcastExchange -Input [6]: [ws_bill_customer_sk#166, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=15] +(102) BroadcastExchange +Input [6]: [ws_bill_customer_sk#163, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=11] -(108) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [c_customer_sk#152] -Right keys [1]: [ws_bill_customer_sk#166] +(103) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [c_customer_sk#149] +Right keys [1]: [ws_bill_customer_sk#163] Join type: Inner Join condition: None -(109) Project [codegen id : 22] -Output [12]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] -Input [14]: [c_customer_sk#152, c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, ws_bill_customer_sk#166, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171] +(104) Project [codegen id : 18] +Output [12]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] +Input [14]: [c_customer_sk#149, c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, ws_bill_customer_sk#163, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168] -(110) ReusedExchange [Reuses operator id: 128] -Output [2]: [d_date_sk#172, d_year#173] +(105) ReusedExchange [Reuses operator id: 123] +Output [2]: [d_date_sk#169, d_year#170] -(111) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [ws_sold_date_sk#171] -Right keys [1]: [d_date_sk#172] +(106) BroadcastHashJoin [codegen id : 18] +Left keys [1]: [ws_sold_date_sk#168] +Right keys [1]: [d_date_sk#169] Join type: Inner Join condition: None -(112) Project [codegen id : 22] -Output [12]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, d_year#173] -Input [14]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, ws_sold_date_sk#171, d_date_sk#172, d_year#173] - -(113) HashAggregate [codegen id : 22] -Input [12]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, ws_ext_discount_amt#167, ws_ext_sales_price#168, ws_ext_wholesale_cost#169, ws_ext_list_price#170, d_year#173] -Keys [8]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173] -Functions [1]: [partial_sum(((((ws_ext_list_price#170 - ws_ext_wholesale_cost#169) - ws_ext_discount_amt#167) + ws_ext_sales_price#168) / 2))] -Aggregate Attributes [2]: [sum#174, isEmpty#175] -Results [10]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173, sum#176, isEmpty#177] - -(114) CometColumnarExchange -Input [10]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173, sum#176, isEmpty#177] -Arguments: hashpartitioning(c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] - -(115) CometColumnarToRow [codegen id : 23] -Input [10]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173, sum#176, isEmpty#177] - -(116) HashAggregate [codegen id : 23] -Input [10]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173, sum#176, isEmpty#177] -Keys [8]: [c_customer_id#160, c_first_name#161, c_last_name#162, c_preferred_cust_flag#163, c_birth_country#157, c_login#164, c_email_address#165, d_year#173] -Functions [1]: [sum(((((ws_ext_list_price#170 - ws_ext_wholesale_cost#169) - ws_ext_discount_amt#167) + ws_ext_sales_price#168) / 2))] -Aggregate Attributes [1]: [sum(((((ws_ext_list_price#170 - ws_ext_wholesale_cost#169) - ws_ext_discount_amt#167) + ws_ext_sales_price#168) / 2))#149] -Results [2]: [c_customer_id#160 AS customer_id#178, sum(((((ws_ext_list_price#170 - ws_ext_wholesale_cost#169) - ws_ext_discount_amt#167) + ws_ext_sales_price#168) / 2))#149 AS year_total#179] - -(117) BroadcastExchange -Input [2]: [customer_id#178, year_total#179] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=17] - -(118) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [customer_id#29] -Right keys [1]: [customer_id#178] -Join type: Inner -Join condition: (CASE WHEN (year_total#94 > 0.000000) THEN (year_total#122 / year_total#94) END > CASE WHEN (year_total#151 > 0.000000) THEN (year_total#179 / year_total#151) END) +(107) Project [codegen id : 18] +Output [12]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, d_year#170] +Input [14]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, ws_sold_date_sk#168, d_date_sk#169, d_year#170] + +(108) HashAggregate [codegen id : 18] +Input [12]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, ws_ext_discount_amt#164, ws_ext_sales_price#165, ws_ext_wholesale_cost#166, ws_ext_list_price#167, d_year#170] +Keys [8]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170] +Functions [1]: [partial_sum(((((ws_ext_list_price#167 - ws_ext_wholesale_cost#166) - ws_ext_discount_amt#164) + ws_ext_sales_price#165) / 2))] +Aggregate Attributes [2]: [sum#171, isEmpty#172] +Results [10]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170, sum#173, isEmpty#174] + +(109) CometColumnarExchange +Input [10]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170, sum#173, isEmpty#174] +Arguments: hashpartitioning(c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] + +(110) CometHashAggregate +Input [10]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170, sum#173, isEmpty#174] +Keys [8]: [c_customer_id#157, c_first_name#158, c_last_name#159, c_preferred_cust_flag#160, c_birth_country#154, c_login#161, c_email_address#162, d_year#170] +Functions [1]: [sum(((((ws_ext_list_price#167 - ws_ext_wholesale_cost#166) - ws_ext_discount_amt#164) + ws_ext_sales_price#165) / 2))] + +(111) CometBroadcastExchange +Input [2]: [customer_id#175, year_total#176] +Arguments: [customer_id#175, year_total#176] + +(112) CometBroadcastHashJoin +Left output [11]: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120, year_total#148] +Right output [2]: [customer_id#175, year_total#176] +Arguments: [customer_id#28], [customer_id#175], Inner, (CASE WHEN (year_total#92 > 0.000000) THEN (year_total#120 / year_total#92) END > CASE WHEN (year_total#148 > 0.000000) THEN (year_total#176 / year_total#148) END), BuildRight + +(113) CometProject +Input [13]: [customer_id#28, customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63, year_total#92, year_total#120, year_total#148, customer_id#175, year_total#176] +Arguments: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63], [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63] -(119) Project [codegen id : 24] -Output [7]: [customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64] -Input [13]: [customer_id#29, customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64, year_total#94, year_total#122, year_total#151, customer_id#178, year_total#179] +(114) CometTakeOrderedAndProject +Input [7]: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#57 ASC NULLS FIRST,customer_first_name#58 ASC NULLS FIRST,customer_last_name#59 ASC NULLS FIRST,customer_preferred_cust_flag#60 ASC NULLS FIRST,customer_birth_country#61 ASC NULLS FIRST,customer_login#62 ASC NULLS FIRST,customer_email_address#63 ASC NULLS FIRST], output=[customer_id#57,customer_first_name#58,customer_last_name#59,customer_preferred_cust_flag#60,customer_birth_country#61,customer_login#62,customer_email_address#63]), [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63], 100, 0, [customer_id#57 ASC NULLS FIRST, customer_first_name#58 ASC NULLS FIRST, customer_last_name#59 ASC NULLS FIRST, customer_preferred_cust_flag#60 ASC NULLS FIRST, customer_birth_country#61 ASC NULLS FIRST, customer_login#62 ASC NULLS FIRST, customer_email_address#63 ASC NULLS FIRST], [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63] -(120) TakeOrderedAndProject -Input [7]: [customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64] -Arguments: 100, [customer_id#58 ASC NULLS FIRST, customer_first_name#59 ASC NULLS FIRST, customer_last_name#60 ASC NULLS FIRST, customer_preferred_cust_flag#61 ASC NULLS FIRST, customer_birth_country#62 ASC NULLS FIRST, customer_login#63 ASC NULLS FIRST, customer_email_address#64 ASC NULLS FIRST], [customer_id#58, customer_first_name#59, customer_last_name#60, customer_preferred_cust_flag#61, customer_birth_country#62, customer_login#63, customer_email_address#64] +(115) CometColumnarToRow [codegen id : 19] +Input [7]: [customer_id#57, customer_first_name#58, customer_last_name#59, customer_preferred_cust_flag#60, customer_birth_country#61, customer_login#62, customer_email_address#63] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#20 IN dynamicpruning#21 -BroadcastExchange (124) -+- * CometColumnarToRow (123) - +- CometFilter (122) - +- CometNativeScan parquet spark_catalog.default.date_dim (121) +BroadcastExchange (119) ++- * CometColumnarToRow (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(121) CometNativeScan parquet spark_catalog.default.date_dim +(116) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#22, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(122) CometFilter +(117) CometFilter Input [2]: [d_date_sk#22, d_year#23] Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#22)) -(123) CometColumnarToRow [codegen id : 1] +(118) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#22, d_year#23] -(124) BroadcastExchange +(119) BroadcastExchange Input [2]: [d_date_sk#22, d_year#23] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=18] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#50 IN dynamicpruning#51 -BroadcastExchange (128) -+- * CometColumnarToRow (127) - +- CometFilter (126) - +- CometNativeScan parquet spark_catalog.default.date_dim (125) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#49 IN dynamicpruning#50 +BroadcastExchange (123) ++- * CometColumnarToRow (122) + +- CometFilter (121) + +- CometNativeScan parquet spark_catalog.default.date_dim (120) -(125) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#52, d_year#53] +(120) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#51, d_year#52] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(126) CometFilter -Input [2]: [d_date_sk#52, d_year#53] -Condition : ((isnotnull(d_year#53) AND (d_year#53 = 2002)) AND isnotnull(d_date_sk#52)) +(121) CometFilter +Input [2]: [d_date_sk#51, d_year#52] +Condition : ((isnotnull(d_year#52) AND (d_year#52 = 2002)) AND isnotnull(d_date_sk#51)) -(127) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#52, d_year#53] +(122) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#51, d_year#52] -(128) BroadcastExchange -Input [2]: [d_date_sk#52, d_year#53] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=19] +(123) BroadcastExchange +Input [2]: [d_date_sk#51, d_year#52] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=14] -Subquery:3 Hosting operator id = 42 Hosting Expression = cs_sold_date_sk#85 IN dynamicpruning#21 +Subquery:3 Hosting operator id = 40 Hosting Expression = cs_sold_date_sk#84 IN dynamicpruning#21 -Subquery:4 Hosting operator id = 63 Hosting Expression = cs_sold_date_sk#114 IN dynamicpruning#51 +Subquery:4 Hosting operator id = 60 Hosting Expression = cs_sold_date_sk#112 IN dynamicpruning#50 -Subquery:5 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#142 IN dynamicpruning#21 +Subquery:5 Hosting operator id = 79 Hosting Expression = ws_sold_date_sk#140 IN dynamicpruning#21 -Subquery:6 Hosting operator id = 104 Hosting Expression = ws_sold_date_sk#171 IN dynamicpruning#51 +Subquery:6 Hosting operator id = 99 Hosting Expression = ws_sold_date_sk#168 IN dynamicpruning#50 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/extended.txt index 54e1a1c11a..b2f95f1c2f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/extended.txt @@ -1,136 +1,131 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- HashAggregate - : : : : : +- CometColumnarToRow - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : : +- BroadcastExchange - : : : : : : +- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- HashAggregate - : : : : +- CometColumnarToRow - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : : +- BroadcastExchange + : : : : : : +- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -151,4 +146,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 40 out of 126 eligible operators (31%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 64 out of 126 eligible operators (50%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/simplified.txt index 56bc32e144..2934bad069 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q4.native_datafusion/simplified.txt @@ -1,18 +1,18 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - WholeStageCodegen (24) - Project [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - Project [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (19) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,year_total] + CometBroadcastHashJoin [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] @@ -41,151 +41,131 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2)),customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total] #4 + CometHashAggregate [d_year,sum,isEmpty] [customer_id,customer_first_name,customer_last_name,customer_preferred_cust_flag,customer_birth_country,customer_login,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum(((((ss_ext_list_price - ss_ext_wholesale_cost) - ss_ext_discount_amt) + ss_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ss_ext_list_price,ss_ext_wholesale_cost,ss_ext_discount_amt,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_sales_price,ss_ext_wholesale_cost,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #14 - WholeStageCodegen (19) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 - WholeStageCodegen (18) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - BroadcastExchange #16 - WholeStageCodegen (16) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #17 - WholeStageCodegen (23) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2)),customer_id,year_total,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 - WholeStageCodegen (22) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((cs_ext_list_price - cs_ext_wholesale_cost) - cs_ext_discount_amt) + cs_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,cs_ext_list_price,cs_ext_wholesale_cost,cs_ext_discount_amt,cs_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,d_year] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + BroadcastHashJoin [c_customer_sk,cs_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_ext_discount_amt,cs_ext_sales_price,cs_ext_wholesale_cost,cs_ext_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 InputAdapter - BroadcastExchange #19 - WholeStageCodegen (20) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #14 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #15 + WholeStageCodegen (15) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + InputAdapter + BroadcastExchange #16 + WholeStageCodegen (13) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #17 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum,isEmpty] [customer_id,year_total,c_customer_id,sum(((((ws_ext_list_price - ws_ext_wholesale_cost) - ws_ext_discount_amt) + ws_ext_sales_price) / 2))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #18 + WholeStageCodegen (18) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_wholesale_cost,ws_ext_discount_amt,ws_ext_sales_price] [sum,isEmpty,sum,isEmpty] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #19 + WholeStageCodegen (16) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_sales_price,ws_ext_wholesale_cost,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/explain.txt index 3a1a49b654..266cf32952 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -207,19 +207,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#21] Input [3]: [ca_zip#12, ca_city#10, sum#21] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(37) CometColumnarToRow [codegen id : 7] -Input [3]: [ca_zip#12, ca_city#10, sum#21] - -(38) HashAggregate [codegen id : 7] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#21] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#22] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#22,17,2) AS sum(ws_sales_price)#23] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#23] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#22]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#22], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] + +(39) CometColumnarToRow [codegen id : 7] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#22] ===== Subqueries ===== @@ -232,18 +230,18 @@ BroadcastExchange (44) (40) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#24, d_qoy#25] +Output [3]: [d_date_sk#13, d_year#23, d_qoy#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (41) CometFilter -Input [3]: [d_date_sk#13, d_year#24, d_qoy#25] -Condition : ((((isnotnull(d_qoy#25) AND isnotnull(d_year#24)) AND (d_qoy#25 = 2)) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#13)) +Input [3]: [d_date_sk#13, d_year#23, d_qoy#24] +Condition : ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#13)) (42) CometProject -Input [3]: [d_date_sk#13, d_year#24, d_qoy#25] +Input [3]: [d_date_sk#13, d_year#23, d_qoy#24] Arguments: [d_date_sk#13], [d_date_sk#13] (43) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/extended.txt index c58a64e326..3c79c4eafe 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -48,4 +48,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 18 out of 41 eligible operators (43%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 20 out of 41 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/simplified.txt index 81ecde84b2..4a8d64e446 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (7) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (6) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/explain.txt index cf57f11d1e..4510721869 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#23] Input [3]: [ca_zip#12, ca_city#10, sum#23] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#23] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#23] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#24] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#24,17,2) AS sum(ws_sales_price)#25] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#24]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#24], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/explain.txt index cf57f11d1e..4510721869 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (39) -+- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -210,19 +210,17 @@ Results [3]: [ca_zip#12, ca_city#10, sum#23] Input [3]: [ca_zip#12, ca_city#10, sum#23] Arguments: hashpartitioning(ca_zip#12, ca_city#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(37) CometColumnarToRow [codegen id : 3] -Input [3]: [ca_zip#12, ca_city#10, sum#23] - -(38) HashAggregate [codegen id : 3] +(37) CometHashAggregate Input [3]: [ca_zip#12, ca_city#10, sum#23] Keys [2]: [ca_zip#12, ca_city#10] Functions [1]: [sum(UnscaledValue(ws_sales_price#4))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#4))#24] -Results [3]: [ca_zip#12, ca_city#10, MakeDecimal(sum(UnscaledValue(ws_sales_price#4))#24,17,2) AS sum(ws_sales_price)#25] -(39) TakeOrderedAndProject -Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] -Arguments: 100, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#25] +(38) CometTakeOrderedAndProject +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_zip#12 ASC NULLS FIRST,ca_city#10 ASC NULLS FIRST], output=[ca_zip#12,ca_city#10,sum(ws_sales_price)#24]), [ca_zip#12, ca_city#10, sum(ws_sales_price)#24], 100, 0, [ca_zip#12 ASC NULLS FIRST, ca_city#10 ASC NULLS FIRST], [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] + +(39) CometColumnarToRow [codegen id : 3] +Input [3]: [ca_zip#12, ca_city#10, sum(ws_sales_price)#24] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/extended.txt index 4a57091056..9b4812f3ae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -44,4 +44,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Comet accelerated 32 out of 41 eligible operators (78%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 41 eligible operators (82%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/simplified.txt index d78fc716ab..8291503327 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q45/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] - WholeStageCodegen (3) - HashAggregate [ca_zip,ca_city,sum] [sum(UnscaledValue(ws_sales_price)),sum(ws_sales_price),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_zip,ca_city,sum(ws_sales_price)] + CometHashAggregate [sum] [ca_zip,ca_city,sum(ws_sales_price),sum(UnscaledValue(ws_sales_price))] CometColumnarExchange [ca_zip,ca_city] #1 WholeStageCodegen (2) HashAggregate [ca_zip,ca_city,ws_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/explain.txt index 4630317250..7c69d9cb6a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, su Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17, sum#20, sum#21] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#17] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#22, sum(UnscaledValue(ss_net_profit#7))#23] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#17 AS bought_city#24, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#22,17,2) AS amt#25, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#23,17,2) AS profit#26] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(c_current_addr_sk#28)) +(31) CometFilter +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Condition : (isnotnull(c_customer_sk#22) AND isnotnull(c_current_addr_sk#23)) -(33) CometProject -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#29, c_last_name#30] -Arguments: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32], [c_customer_sk#27, c_current_addr_sk#28, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#29, 20)) AS c_first_name#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#30, 30)) AS c_last_name#32] +(32) CometProject +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [c_customer_sk#22, c_current_addr_sk#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#24, 20)) AS c_first_name#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#25, 30)) AS c_last_name#27] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(35) BroadcastExchange -Input [4]: [c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30] +Right output [4]: [c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_customer_sk#1], [c_customer_sk#22], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#27] -Join type: Inner -Join condition: None +(35) CometProject +Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, amt#29, profit#30, c_customer_sk#22, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Arguments: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27], [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] -(37) Project [codegen id : 8] -Output [7]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32] -Input [9]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#24, amt#25, profit#26, c_customer_sk#27, c_current_addr_sk#28, c_first_name#31, c_last_name#32] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#31, ca_city#32] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#33, ca_city#34] +(37) CometFilter +Input [2]: [ca_address_sk#31, ca_city#32] +Condition : (isnotnull(ca_address_sk#31) AND isnotnull(ca_city#32)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#28] -Right keys [1]: [ca_address_sk#33] -Join type: Inner -Join condition: NOT (ca_city#34 = bought_city#24) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#31, ca_city#32] +Arguments: [ca_address_sk#31, ca_city#32] -(40) Project [codegen id : 8] -Output [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Input [9]: [ss_ticket_number#5, bought_city#24, amt#25, profit#26, c_current_addr_sk#28, c_first_name#31, c_last_name#32, ca_address_sk#33, ca_city#34] +(39) CometBroadcastHashJoin +Left output [7]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27] +Right output [2]: [ca_address_sk#31, ca_city#32] +Arguments: [c_current_addr_sk#23], [ca_address_sk#31], Inner, NOT (ca_city#32 = bought_city#28), BuildRight -(41) TakeOrderedAndProject -Input [7]: [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] -Arguments: 100, [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, ca_city#34 ASC NULLS FIRST, bought_city#24 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#32, c_first_name#31, ca_city#34, bought_city#24, ss_ticket_number#5, amt#25, profit#26] +(40) CometProject +Input [9]: [ss_ticket_number#5, bought_city#28, amt#29, profit#30, c_current_addr_sk#23, c_first_name#26, c_last_name#27, ca_address_sk#31, ca_city#32] +Arguments: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(41) CometTakeOrderedAndProject +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#27 ASC NULLS FIRST,c_first_name#26 ASC NULLS FIRST,ca_city#32 ASC NULLS FIRST,bought_city#28 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#27,c_first_name#26,ca_city#32,bought_city#28,ss_ticket_number#5,amt#29,profit#30]), [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30], 100, 0, [c_last_name#27 ASC NULLS FIRST, c_first_name#26 ASC NULLS FIRST, ca_city#32 ASC NULLS FIRST, bought_city#28 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] + +(42) CometColumnarToRow [codegen id : 6] +Input [7]: [c_last_name#27, c_first_name#26, ca_city#32, bought_city#28, ss_ticket_number#5, amt#29, profit#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#35, d_dow#36] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#33, d_dow#34] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_dow, [0,6]), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] -Condition : ((d_dow#36 IN (6,0) AND d_year#35 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(44) CometFilter +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] +Condition : ((d_dow#34 IN (6,0) AND d_year#33 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(44) CometProject -Input [3]: [d_date_sk#10, d_year#35, d_dow#36] +(45) CometProject +Input [3]: [d_date_sk#10, d_year#33, d_dow#34] Arguments: [d_date_sk#10], [d_date_sk#10] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/simplified.txt index b4b78689b1..44cd36c176 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q46.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),bought_city,amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,amt,profit] + CometBroadcastHashJoin [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,amt,profit,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,amt,profit,ca_city,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_nu InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/explain.txt index 5956a3b4a6..52637e52b3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum#29] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] -Keys [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29] -Functions [1]: [sum(UnscaledValue(ss_sales_price#31))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#31))#19] -Results [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, MakeDecimal(sum(UnscaledValue(ss_sales_price#31))#19,17,2) AS sum_sales#32] +(32) CometHashAggregate +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum#29] +Keys [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28] +Functions [1]: [sum(UnscaledValue(ss_sales_price#30))] -(35) CometColumnarExchange -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: hashpartitioning(i_category#24, i_brand#25, s_store_name#26, s_company_name#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: hashpartitioning(i_category#23, i_brand#24, s_store_name#25, s_company_name#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32], [i_category#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, s_store_name#26 ASC NULLS FIRST, s_company_name#27 ASC NULLS FIRST, d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31], [i_category#23 ASC NULLS FIRST, i_brand#24 ASC NULLS FIRST, s_store_name#25 ASC NULLS FIRST, s_company_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] -(38) Window -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: [rank(d_year#28, d_moy#29) windowspecdefinition(i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#33], [i_category#24, i_brand#25, s_store_name#26, s_company_name#27], [d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: [rank(d_year#27, d_moy#28) windowspecdefinition(i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#32], [i_category#23, i_brand#24, s_store_name#25, s_company_name#26], [d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] -Input [8]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32, rn#33] +(37) Project [codegen id : 12] +Output [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] +Input [8]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31, rn#32] -(40) BroadcastExchange -Input [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] +(38) BroadcastExchange +Input [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, (rn#33 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, (rn#32 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#32] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] -(44) CometSort -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] -Arguments: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40], [i_category#34 ASC NULLS FIRST, i_brand#35 ASC NULLS FIRST, s_store_name#36 ASC NULLS FIRST, s_company_name#37 ASC NULLS FIRST, d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] +Arguments: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39], [i_category#33 ASC NULLS FIRST, i_brand#34 ASC NULLS FIRST, s_store_name#35 ASC NULLS FIRST, s_company_name#36 ASC NULLS FIRST, d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] -(46) Window -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] -Arguments: [rank(d_year#38, d_moy#39) windowspecdefinition(i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#41], [i_category#34, i_brand#35, s_store_name#36, s_company_name#37], [d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] +Arguments: [rank(d_year#37, d_moy#38) windowspecdefinition(i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#40], [i_category#33, i_brand#34, s_store_name#35, s_company_name#36], [d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] -Input [8]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40, rn#41] +(45) Project [codegen id : 18] +Output [6]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] +Input [8]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39, rn#40] -(48) BroadcastExchange -Input [6]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] +(46) BroadcastExchange +Input [6]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, (rn#41 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, (rn#40 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#32 AS psum#42, sum_sales#40 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#32, i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] +(48) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#41, sum_sales#39 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] -(51) TakeOrderedAndProject -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/simplified.txt index 017805e5b2..b87d01e0f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_brand,s_company_name,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_bra Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/explain.txt index 3f674fa5c8..c848bc438b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (30) -+- * CometColumnarToRow (29) +* CometColumnarToRow (30) ++- CometHashAggregate (29) +- CometColumnarExchange (28) +- * HashAggregate (27) +- * Project (26) @@ -162,15 +162,13 @@ Results [1]: [sum#21] Input [1]: [sum#21] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 6] -Input [1]: [sum#21] - -(30) HashAggregate [codegen id : 6] +(29) CometHashAggregate Input [1]: [sum#21] Keys: [] Functions [1]: [sum(ss_quantity#4)] -Aggregate Attributes [1]: [sum(ss_quantity#4)#22] -Results [1]: [sum(ss_quantity#4)#22 AS sum(ss_quantity)#23] + +(30) CometColumnarToRow [codegen id : 6] +Input [1]: [sum(ss_quantity)#22] ===== Subqueries ===== @@ -183,18 +181,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#19, d_year#24] +Output [2]: [d_date_sk#19, d_year#23] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [2]: [d_date_sk#19, d_year#24] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 2001)) AND isnotnull(d_date_sk#19)) +Input [2]: [d_date_sk#19, d_year#23] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 2001)) AND isnotnull(d_date_sk#19)) (33) CometProject -Input [2]: [d_date_sk#19, d_year#24] +Input [2]: [d_date_sk#19, d_year#23] Arguments: [d_date_sk#19], [d_date_sk#19] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/extended.txt index 1ef8426231..ffe4f6d22e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/simplified.txt index 0cd7e900b0..484b010a1b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q48.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (6) - HashAggregate [sum] [sum(ss_quantity),sum(ss_quantity),sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [sum(ss_quantity),sum(ss_quantity)] CometColumnarExchange #1 WholeStageCodegen (5) HashAggregate [ss_quantity] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/explain.txt index 0a43ebc390..17221af5d0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/explain.txt index 39114bd417..72d4c1c721 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/explain.txt @@ -1,85 +1,82 @@ == Physical Plan == -TakeOrderedAndProject (81) -+- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * Expand (76) - +- Union (75) - :- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- Union (9) - : : : :- * Project (4) - : : : : +- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- * Project (8) - : : : +- * Filter (7) - : : : +- * ColumnarToRow (6) - : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : +- ReusedExchange (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- Union (32) - : : : :- * Project (27) - : : : : +- * Filter (26) - : : : : +- * ColumnarToRow (25) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : +- * Project (31) - : : : +- * Filter (30) - : : : +- * ColumnarToRow (29) - : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : +- ReusedExchange (33) - : +- BroadcastExchange (40) - : +- * CometColumnarToRow (39) - : +- CometProject (38) - : +- CometFilter (37) - : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - +- * HashAggregate (74) - +- * CometColumnarToRow (73) - +- CometColumnarExchange (72) - +- * HashAggregate (71) - +- * Project (70) - +- * BroadcastHashJoin Inner BuildRight (69) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- Union (60) - : : :- * Project (50) - : : : +- * Filter (49) - : : : +- * ColumnarToRow (48) - : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : +- * Project (59) - : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : :- BroadcastExchange (53) - : : : +- * ColumnarToRow (52) - : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : +- * CometColumnarToRow (57) - : : +- CometProject (56) - : : +- CometFilter (55) - : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : +- ReusedExchange (61) - +- BroadcastExchange (68) - +- * CometColumnarToRow (67) - +- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.web_site (64) +* CometColumnarToRow (78) ++- CometTakeOrderedAndProject (77) + +- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometExpand (73) + +- CometUnion (72) + :- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- Union (9) + : : : :- * Project (4) + : : : : +- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- * Project (8) + : : : +- * Filter (7) + : : : +- * ColumnarToRow (6) + : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : +- ReusedExchange (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + :- CometHashAggregate (44) + : +- CometColumnarExchange (43) + : +- * HashAggregate (42) + : +- * Project (41) + : +- * BroadcastHashJoin Inner BuildRight (40) + : :- * Project (34) + : : +- * BroadcastHashJoin Inner BuildRight (33) + : : :- Union (31) + : : : :- * Project (26) + : : : : +- * Filter (25) + : : : : +- * ColumnarToRow (24) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : +- * Project (30) + : : : +- * Filter (29) + : : : +- * ColumnarToRow (28) + : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : +- ReusedExchange (32) + : +- BroadcastExchange (39) + : +- * CometColumnarToRow (38) + : +- CometProject (37) + : +- CometFilter (36) + : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildRight (60) + : :- Union (58) + : : :- * Project (48) + : : : +- * Filter (47) + : : : +- * ColumnarToRow (46) + : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : +- * Project (57) + : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : :- BroadcastExchange (51) + : : : +- * ColumnarToRow (50) + : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : +- * CometColumnarToRow (55) + : : +- CometProject (54) + : : +- CometFilter (53) + : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : +- ReusedExchange (59) + +- BroadcastExchange (66) + +- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.web_site (62) (1) Scan parquet spark_catalog.default.store_sales @@ -122,7 +119,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 86] +(10) ReusedExchange [Reuses operator id: 83] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -178,322 +175,306 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#38, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#39, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#40, store channel AS channel#41, concat(store, s_store_id#25) AS id#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(cp_catalog_page_id#65, 16)) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, static_invoke(CharVarcharCodegenUtils.readSidePadding(cp_catalog_page_id#56, 16)) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#79, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#80, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#81, catalog channel AS channel#82, concat(catalog_page, cp_catalog_page_id#66) AS id#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 86] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 83] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, static_invoke(CharVarcharCodegenUtils.readSidePadding(web_site_id#111, 16)) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, static_invoke(CharVarcharCodegenUtils.readSidePadding(web_site_id#93, 16)) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#125, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#126, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#127, web channel AS channel#128, concat(web_site, web_site_id#112) AS id#129] - -(75) Union - -(76) Expand [codegen id : 20] -Input [5]: [sales#38, returns#39, profit#40, channel#41, id#42] -Arguments: [[sales#38, returns#39, profit#40, channel#41, id#42, 0], [sales#38, returns#39, profit#40, channel#41, null, 1], [sales#38, returns#39, profit#40, null, null, 3]], [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] - -(77) HashAggregate [codegen id : 20] -Input [6]: [sales#38, returns#39, profit#40, channel#130, id#131, spark_grouping_id#132] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [partial_sum(sales#38), partial_sum(returns#39), partial_sum(profit#40)] -Aggregate Attributes [6]: [sum#133, isEmpty#134, sum#135, isEmpty#136, sum#137, isEmpty#138] -Results [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(78) CometColumnarExchange -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Arguments: hashpartitioning(channel#130, id#131, spark_grouping_id#132, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(79) CometColumnarToRow [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] - -(80) HashAggregate [codegen id : 21] -Input [9]: [channel#130, id#131, spark_grouping_id#132, sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144] -Keys [3]: [channel#130, id#131, spark_grouping_id#132] -Functions [3]: [sum(sales#38), sum(returns#39), sum(profit#40)] -Aggregate Attributes [3]: [sum(sales#38)#145, sum(returns#39)#146, sum(profit#40)#147] -Results [5]: [channel#130, id#131, sum(sales#38)#145 AS sales#148, sum(returns#39)#146 AS returns#149, sum(profit#40)#147 AS profit#150] - -(81) TakeOrderedAndProject -Input [5]: [channel#130, id#131, sales#148, returns#149, profit#150] -Arguments: 100, [channel#130 ASC NULLS FIRST, id#131 ASC NULLS FIRST], [channel#130, id#131, sales#148, returns#149, profit#150] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Child 1 Input [5]: [sales#108, returns#109, profit#110, channel#111, id#112] +Child 2 Input [5]: [sales#113, returns#114, profit#115, channel#116, id#117] + +(73) CometExpand +Input [5]: [sales#103, returns#104, profit#105, channel#106, id#107] +Arguments: [[sales#103, returns#104, profit#105, channel#106, id#107, 0], [sales#103, returns#104, profit#105, channel#106, null, 1], [sales#103, returns#104, profit#105, null, null, 3]], [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] + +(74) CometHashAggregate +Input [6]: [sales#103, returns#104, profit#105, channel#118, id#119, spark_grouping_id#120] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [partial_sum(sales#103), partial_sum(returns#104), partial_sum(profit#105)] + +(75) CometExchange +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Arguments: hashpartitioning(channel#118, id#119, spark_grouping_id#120, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [9]: [channel#118, id#119, spark_grouping_id#120, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] +Keys [3]: [channel#118, id#119, spark_grouping_id#120] +Functions [3]: [sum(sales#103), sum(returns#104), sum(profit#105)] + +(77) CometTakeOrderedAndProject +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#118 ASC NULLS FIRST,id#119 ASC NULLS FIRST], output=[channel#118,id#119,sales#127,returns#128,profit#129]), [channel#118, id#119, sales#127, returns#128, profit#129], 100, 0, [channel#118 ASC NULLS FIRST, id#119 ASC NULLS FIRST], [channel#118, id#119, sales#127, returns#128, profit#129] + +(78) CometColumnarToRow [codegen id : 17] +Input [5]: [channel#118, id#119, sales#127, returns#128, profit#129] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (86) -+- * CometColumnarToRow (85) - +- CometProject (84) - +- CometFilter (83) - +- CometNativeScan parquet spark_catalog.default.date_dim (82) +BroadcastExchange (83) ++- * CometColumnarToRow (82) + +- CometProject (81) + +- CometFilter (80) + +- CometNativeScan parquet spark_catalog.default.date_dim (79) -(82) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#151] +(79) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#130] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-23), LessThanOrEqual(d_date,2000-09-06), IsNotNull(d_date_sk)] ReadSchema: struct -(83) CometFilter -Input [2]: [d_date_sk#22, d_date#151] -Condition : (((isnotnull(d_date#151) AND (d_date#151 >= 2000-08-23)) AND (d_date#151 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) +(80) CometFilter +Input [2]: [d_date_sk#22, d_date#130] +Condition : (((isnotnull(d_date#130) AND (d_date#130 >= 2000-08-23)) AND (d_date#130 <= 2000-09-06)) AND isnotnull(d_date_sk#22)) -(84) CometProject -Input [2]: [d_date_sk#22, d_date#151] +(81) CometProject +Input [2]: [d_date_sk#22, d_date#130] Arguments: [d_date_sk#22], [d_date_sk#22] -(85) CometColumnarToRow [codegen id : 1] +(82) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(86) BroadcastExchange +(83) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/extended.txt index 60352ef90a..88064e71a8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/extended.txt @@ -1,106 +1,103 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometExpand + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 28 out of 86 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 86 eligible operators (41%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/simplified.txt index 9dc4fc19c7..839d067d85 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q5.native_datafusion/simplified.txt @@ -1,137 +1,126 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (21) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (20) - HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Expand [sales,returns,profit,channel,id] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #2 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] +WholeStageCodegen (17) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id,spark_grouping_id] #1 + CometHashAggregate [sales,returns,profit] [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExpand [channel,id] [sales,returns,profit,channel,id,spark_grouping_id] + CometUnion [sales,returns,profit,channel,id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),s_store_id] + CometColumnarExchange [s_store_id] #2 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),cp_catalog_page_id] + CometColumnarExchange [cp_catalog_page_id] #5 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [sales,returns,profit,channel,id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),web_site_id] + CometColumnarExchange [web_site_id] #7 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cp_catalog_page_id] #5 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),sales,returns,profit,channel,id,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [web_site_id] #7 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + BroadcastExchange #8 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/explain.txt index 4001dbe16b..8721b4b255 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * HashAggregate (29) - +- * CometColumnarToRow (28) +* CometColumnarToRow (30) ++- CometTakeOrderedAndProject (29) + +- CometHashAggregate (28) +- CometColumnarExchange (27) +- * HashAggregate (26) +- * Project (25) @@ -159,19 +159,17 @@ Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_na Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Arguments: hashpartitioning(s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(28) CometColumnarToRow [codegen id : 6] -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] - -(29) HashAggregate [codegen id : 6] +(28) CometHashAggregate Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum#33, sum#34, sum#35, sum#36, sum#37] Keys [10]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25] Functions [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END), sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END), sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)] -Aggregate Attributes [5]: [sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42] -Results [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 30) THEN 1 ELSE 0 END)#38 AS 30 days #43, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 30) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 60)) THEN 1 ELSE 0 END)#39 AS 31 - 60 days #44, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 60) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 90)) THEN 1 ELSE 0 END)#40 AS 61 - 90 days #45, sum(CASE WHEN (((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 90) AND ((sr_returned_date_sk#9 - ss_sold_date_sk#5) <= 120)) THEN 1 ELSE 0 END)#41 AS 91 - 120 days #46, sum(CASE WHEN ((sr_returned_date_sk#9 - ss_sold_date_sk#5) > 120) THEN 1 ELSE 0 END)#42 AS >120 days #47] -(30) TakeOrderedAndProject -Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] -Arguments: 100, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #43, 31 - 60 days #44, 61 - 90 days #45, 91 - 120 days #46, >120 days #47] +(29) CometTakeOrderedAndProject +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#12 ASC NULLS FIRST,s_company_id#13 ASC NULLS FIRST,s_street_number#14 ASC NULLS FIRST,s_street_name#15 ASC NULLS FIRST,s_street_type#22 ASC NULLS FIRST,s_suite_number#23 ASC NULLS FIRST,s_city#18 ASC NULLS FIRST,s_county#19 ASC NULLS FIRST,s_state#24 ASC NULLS FIRST,s_zip#25 ASC NULLS FIRST], output=[s_store_name#12,s_company_id#13,s_street_number#14,s_street_name#15,s_street_type#22,s_suite_number#23,s_city#18,s_county#19,s_state#24,s_zip#25,30 days #38,31 - 60 days #39,61 - 90 days #40,91 - 120 days #41,>120 days #42]), [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42], 100, 0, [s_store_name#12 ASC NULLS FIRST, s_company_id#13 ASC NULLS FIRST, s_street_number#14 ASC NULLS FIRST, s_street_name#15 ASC NULLS FIRST, s_street_type#22 ASC NULLS FIRST, s_suite_number#23 ASC NULLS FIRST, s_city#18 ASC NULLS FIRST, s_county#19 ASC NULLS FIRST, s_state#24 ASC NULLS FIRST, s_zip#25 ASC NULLS FIRST], [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] + +(30) CometColumnarToRow [codegen id : 6] +Input [15]: [s_store_name#12, s_company_id#13, s_street_number#14, s_street_name#15, s_street_type#22, s_suite_number#23, s_city#18, s_county#19, s_state#24, s_zip#25, 30 days #38, 31 - 60 days #39, 61 - 90 days #40, 91 - 120 days #41, >120 days #42] ===== Subqueries ===== @@ -184,18 +182,18 @@ BroadcastExchange (35) (31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#27, d_year#48, d_moy#49] +Output [3]: [d_date_sk#27, d_year#43, d_moy#44] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,8), IsNotNull(d_date_sk)] ReadSchema: struct (32) CometFilter -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] -Condition : ((((isnotnull(d_year#48) AND isnotnull(d_moy#49)) AND (d_year#48 = 2001)) AND (d_moy#49 = 8)) AND isnotnull(d_date_sk#27)) +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] +Condition : ((((isnotnull(d_year#43) AND isnotnull(d_moy#44)) AND (d_year#43 = 2001)) AND (d_moy#44 = 8)) AND isnotnull(d_date_sk#27)) (33) CometProject -Input [3]: [d_date_sk#27, d_year#48, d_moy#49] +Input [3]: [d_date_sk#27, d_year#43, d_moy#44] Arguments: [d_date_sk#27], [d_date_sk#27] (34) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/extended.txt index 6ece21441c..babe7d6a33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -39,4 +39,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 33 eligible operators (48%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/simplified.txt index 186c041b09..0a9ef0f315 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q50.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] - WholeStageCodegen (6) - HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sum,sum,sum,sum,sum] [sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END),30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ] + CometHashAggregate [sum,sum,sum,sum,sum] [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,30 days ,31 - 60 days ,61 - 90 days ,91 - 120 days ,>120 days ,sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) <= 30) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 30) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 60)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 60) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 90)) THEN 1 ELSE 0 END),sum(CASE WHEN (((sr_returned_date_sk - ss_sold_date_sk) > 90) AND ((sr_returned_date_sk - ss_sold_date_sk) <= 120)) THEN 1 ELSE 0 END),sum(CASE WHEN ((sr_returned_date_sk - ss_sold_date_sk) > 120) THEN 1 ELSE 0 END)] CometColumnarExchange [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip] #1 WholeStageCodegen (5) HashAggregate [s_store_name,s_company_id,s_street_number,s_street_name,s_street_type,s_suite_number,s_city,s_county,s_state,s_zip,sr_returned_date_sk,ss_sold_date_sk] [sum,sum,sum,sum,sum,sum,sum,sum,sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/explain.txt index 9af40029c8..f17ae036f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/explain.txt @@ -1,46 +1,44 @@ == Physical Plan == -TakeOrderedAndProject (42) -+- * Filter (41) - +- Window (40) - +- * CometColumnarToRow (39) - +- CometSort (38) - +- CometExchange (37) - +- CometProject (36) - +- CometSortMergeJoin (35) - :- CometSort (17) - : +- CometColumnarExchange (16) - : +- * Project (15) - : +- Window (14) - : +- * CometColumnarToRow (13) - : +- CometSort (12) - : +- CometColumnarExchange (11) - : +- * HashAggregate (10) - : +- * CometColumnarToRow (9) - : +- CometColumnarExchange (8) - : +- * HashAggregate (7) - : +- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- Window (31) - +- * CometColumnarToRow (30) - +- CometSort (29) - +- CometColumnarExchange (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- CometColumnarExchange (25) - +- * HashAggregate (24) - +- * Project (23) - +- * BroadcastHashJoin Inner BuildRight (22) - :- * Filter (20) - : +- * ColumnarToRow (19) - : +- Scan parquet spark_catalog.default.store_sales (18) - +- ReusedExchange (21) +TakeOrderedAndProject (40) ++- * Filter (39) + +- Window (38) + +- * CometColumnarToRow (37) + +- CometSort (36) + +- CometExchange (35) + +- CometProject (34) + +- CometSortMergeJoin (33) + :- CometSort (16) + : +- CometColumnarExchange (15) + : +- * Project (14) + : +- Window (13) + : +- * CometColumnarToRow (12) + : +- CometSort (11) + : +- CometExchange (10) + : +- CometHashAggregate (9) + : +- CometColumnarExchange (8) + : +- * HashAggregate (7) + : +- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- CometSort (32) + +- CometColumnarExchange (31) + +- * Project (30) + +- Window (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometExchange (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Filter (19) + : +- * ColumnarToRow (18) + : +- Scan parquet spark_catalog.default.store_sales (17) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.web_sales @@ -58,7 +56,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 47] +(4) ReusedExchange [Reuses operator id: 45] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -82,183 +80,173 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS _w0#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1] -Arguments: [sum(_w0#11) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1] +Arguments: [sum(_w0#10) windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 5] -Output [3]: [item_sk#10, d_date#6, cume_sales#12] -Input [5]: [item_sk#10, d_date#6, _w0#11, ws_item_sk#1, cume_sales#12] +(14) Project [codegen id : 4] +Output [3]: [item_sk#9, d_date#6, cume_sales#11] +Input [5]: [item_sk#9, d_date#6, _w0#10, ws_item_sk#1, cume_sales#11] -(16) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(15) CometColumnarExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(17) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#12] -Arguments: [item_sk#10, d_date#6, cume_sales#12], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(16) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#11] +Arguments: [item_sk#9, d_date#6, cume_sales#11], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(18) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(17) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#15), dynamicpruningexpression(ss_sold_date_sk#15 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#14), dynamicpruningexpression(ss_sold_date_sk#14 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] -(20) Filter [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15] -Condition : isnotnull(ss_item_sk#13) +(19) Filter [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14] +Condition : isnotnull(ss_item_sk#12) -(21) ReusedExchange [Reuses operator id: 47] -Output [2]: [d_date_sk#16, d_date#17] +(20) ReusedExchange [Reuses operator id: 45] +Output [2]: [d_date_sk#15, d_date#16] -(22) BroadcastHashJoin [codegen id : 7] -Left keys [1]: [ss_sold_date_sk#15] -Right keys [1]: [d_date_sk#16] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#14] +Right keys [1]: [d_date_sk#15] Join type: Inner Join condition: None -(23) Project [codegen id : 7] -Output [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Input [5]: [ss_item_sk#13, ss_sales_price#14, ss_sold_date_sk#15, d_date_sk#16, d_date#17] - -(24) HashAggregate [codegen id : 7] -Input [3]: [ss_item_sk#13, ss_sales_price#14, d_date#17] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum#18] -Results [3]: [ss_item_sk#13, d_date#17, sum#19] +(22) Project [codegen id : 6] +Output [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Input [5]: [ss_item_sk#12, ss_sales_price#13, ss_sold_date_sk#14, d_date_sk#15, d_date#16] -(25) CometColumnarExchange -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Arguments: hashpartitioning(ss_item_sk#13, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) HashAggregate [codegen id : 6] +Input [3]: [ss_item_sk#12, ss_sales_price#13, d_date#16] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#13))] +Aggregate Attributes [1]: [sum#17] +Results [3]: [ss_item_sk#12, d_date#16, sum#18] -(26) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] +(24) CometColumnarExchange +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Arguments: hashpartitioning(ss_item_sk#12, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) HashAggregate [codegen id : 8] -Input [3]: [ss_item_sk#13, d_date#17, sum#19] -Keys [2]: [ss_item_sk#13, d_date#17] -Functions [1]: [sum(UnscaledValue(ss_sales_price#14))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#14))#20] -Results [4]: [ss_item_sk#13 AS item_sk#21, d_date#17, MakeDecimal(sum(UnscaledValue(ss_sales_price#14))#20,17,2) AS _w0#22, ss_item_sk#13] +(25) CometHashAggregate +Input [3]: [ss_item_sk#12, d_date#16, sum#18] +Keys [2]: [ss_item_sk#12, d_date#16] +Functions [1]: [sum(UnscaledValue(ss_sales_price#13))] -(28) CometColumnarExchange -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: hashpartitioning(ss_item_sk#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(26) CometExchange +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: hashpartitioning(ss_item_sk#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(29) CometSort -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13], [ss_item_sk#13 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(27) CometSort +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12], [ss_item_sk#12 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(30) CometColumnarToRow [codegen id : 9] -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] +(28) CometColumnarToRow [codegen id : 7] +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] -(31) Window -Input [4]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13] -Arguments: [sum(_w0#22) windowspecdefinition(ss_item_sk#13, d_date#17 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#23], [ss_item_sk#13], [d_date#17 ASC NULLS FIRST] +(29) Window +Input [4]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12] +Arguments: [sum(_w0#20) windowspecdefinition(ss_item_sk#12, d_date#16 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS cume_sales#21], [ss_item_sk#12], [d_date#16 ASC NULLS FIRST] -(32) Project [codegen id : 10] -Output [3]: [item_sk#21, d_date#17, cume_sales#23] -Input [5]: [item_sk#21, d_date#17, _w0#22, ss_item_sk#13, cume_sales#23] +(30) Project [codegen id : 8] +Output [3]: [item_sk#19, d_date#16, cume_sales#21] +Input [5]: [item_sk#19, d_date#16, _w0#20, ss_item_sk#12, cume_sales#21] -(33) CometColumnarExchange -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: hashpartitioning(item_sk#21, d_date#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(31) CometColumnarExchange +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: hashpartitioning(item_sk#19, d_date#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(34) CometSort -Input [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#21, d_date#17, cume_sales#23], [item_sk#21 ASC NULLS FIRST, d_date#17 ASC NULLS FIRST] +(32) CometSort +Input [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#19, d_date#16, cume_sales#21], [item_sk#19 ASC NULLS FIRST, d_date#16 ASC NULLS FIRST] -(35) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#12] -Right output [3]: [item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#10, d_date#6], [item_sk#21, d_date#17], FullOuter +(33) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#11] +Right output [3]: [item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#9, d_date#6], [item_sk#19, d_date#16], FullOuter -(36) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#12, item_sk#21, d_date#17, cume_sales#23] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#21 END AS item_sk#24, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#17 END AS d_date#25, cume_sales#12 AS web_sales#26, cume_sales#23 AS store_sales#27] +(34) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#11, item_sk#19, d_date#16, cume_sales#21] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#19 END AS item_sk#22, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#16 END AS d_date#23, cume_sales#11 AS web_sales#24, cume_sales#21 AS store_sales#25] -(37) CometExchange -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: hashpartitioning(item_sk#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(35) CometExchange +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: hashpartitioning(item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(38) CometSort -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [item_sk#24, d_date#25, web_sales#26, store_sales#27], [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST] +(36) CometSort +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [item_sk#22, d_date#23, web_sales#24, store_sales#25], [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST] -(39) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] +(37) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] -(40) Window -Input [4]: [item_sk#24, d_date#25, web_sales#26, store_sales#27] -Arguments: [max(web_sales#26) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#28, max(store_sales#27) windowspecdefinition(item_sk#24, d_date#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#29], [item_sk#24], [d_date#25 ASC NULLS FIRST] +(38) Window +Input [4]: [item_sk#22, d_date#23, web_sales#24, store_sales#25] +Arguments: [max(web_sales#24) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS web_cumulative#26, max(store_sales#25) windowspecdefinition(item_sk#22, d_date#23 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS store_cumulative#27], [item_sk#22], [d_date#23 ASC NULLS FIRST] -(41) Filter [codegen id : 12] -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Condition : ((isnotnull(web_cumulative#28) AND isnotnull(store_cumulative#29)) AND (web_cumulative#28 > store_cumulative#29)) +(39) Filter [codegen id : 10] +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Condition : ((isnotnull(web_cumulative#26) AND isnotnull(store_cumulative#27)) AND (web_cumulative#26 > store_cumulative#27)) -(42) TakeOrderedAndProject -Input [6]: [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] -Arguments: 100, [item_sk#24 ASC NULLS FIRST, d_date#25 ASC NULLS FIRST], [item_sk#24, d_date#25, web_sales#26, store_sales#27, web_cumulative#28, store_cumulative#29] +(40) TakeOrderedAndProject +Input [6]: [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] +Arguments: 100, [item_sk#22 ASC NULLS FIRST, d_date#23 ASC NULLS FIRST], [item_sk#22, d_date#23, web_sales#24, store_sales#25, web_cumulative#26, store_cumulative#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (47) -+- * CometColumnarToRow (46) - +- CometProject (45) - +- CometFilter (44) - +- CometNativeScan parquet spark_catalog.default.date_dim (43) +BroadcastExchange (45) ++- * CometColumnarToRow (44) + +- CometProject (43) + +- CometFilter (42) + +- CometNativeScan parquet spark_catalog.default.date_dim (41) -(43) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(41) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(44) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] -Condition : (((isnotnull(d_month_seq#30) AND (d_month_seq#30 >= 1200)) AND (d_month_seq#30 <= 1211)) AND isnotnull(d_date_sk#5)) +(42) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#5)) -(45) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#30] +(43) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#28] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(46) CometColumnarToRow [codegen id : 1] +(44) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(47) BroadcastExchange +(45) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -Subquery:2 Hosting operator id = 18 Hosting Expression = ss_sold_date_sk#15 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 17 Hosting Expression = ss_sold_date_sk#14 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/extended.txt index 9dc007f5e9..4a15646c08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/extended.txt @@ -12,48 +12,46 @@ TakeOrderedAndProject : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort +- CometColumnarExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 25 out of 47 eligible operators (53%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/simplified.txt index 51d3f11ae6..ba94b57292 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q51.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (12) + WholeStageCodegen (10) Filter [web_cumulative,store_cumulative] InputAdapter Window [web_sales,item_sk,d_date,store_sales] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -12,62 +12,56 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) + WholeStageCodegen (4) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ws_item_sk] - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #4 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ws_item_sk] #3 + CometHashAggregate [sum] [item_sk,d_date,_w0,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #4 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 CometSort [item_sk,d_date,cume_sales] CometColumnarExchange [item_sk,d_date] #6 - WholeStageCodegen (10) + WholeStageCodegen (8) Project [item_sk,d_date,cume_sales] InputAdapter Window [_w0,ss_item_sk,d_date] - WholeStageCodegen (9) + WholeStageCodegen (7) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,_w0,ss_item_sk] - CometColumnarExchange [ss_item_sk] #7 - WholeStageCodegen (8) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #8 - WholeStageCodegen (7) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #5 + CometExchange [ss_item_sk] #7 + CometHashAggregate [sum] [item_sk,d_date,_w0,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #8 + WholeStageCodegen (6) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/explain.txt index 8f5f268b10..ad94fec43c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manufact_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manufact_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_qoy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manufact_id#5, d_qoy#16, sum#19] Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Arguments: hashpartitioning(i_manufact_id#5, d_qoy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manufact_id#5, d_qoy#16, sum#19] Keys [2]: [i_manufact_id#5, d_qoy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manufact_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manufact_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [i_manufact_id#5, sum_sales#21, _w0#22], [i_manufact_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [i_manufact_id#5, sum_sales#20, _w0#21], [i_manufact_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manufact_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#23], [i_manufact_id#5] +(26) Window +Input [3]: [i_manufact_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manufact_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_quarterly_sales#22], [i_manufact_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] -Condition : CASE WHEN (avg_quarterly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_quarterly_sales#23)) / avg_quarterly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] +Condition : CASE WHEN (avg_quarterly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_quarterly_sales#22)) / avg_quarterly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Input [4]: [i_manufact_id#5, sum_sales#21, _w0#22, avg_quarterly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Input [4]: [i_manufact_id#5, sum_sales#20, _w0#21, avg_quarterly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] -Arguments: 100, [avg_quarterly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#21, avg_quarterly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] +Arguments: 100, [avg_quarterly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST, i_manufact_id#5 ASC NULLS FIRST], [i_manufact_id#5, sum_sales#20, avg_quarterly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_qoy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_qoy#16] Arguments: [d_date_sk#15, d_qoy#16], [d_date_sk#15, d_qoy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_qoy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_qoy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/simplified.txt index 63c3e1a17a..f42de7b17a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q53.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [avg_quarterly_sales,sum_sales,i_manufact_id] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manufact_id,sum_sales,avg_quarterly_sales] Filter [avg_quarterly_sales,sum_sales] InputAdapter Window [_w0,i_manufact_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manufact_id,sum_sales,_w0] - CometColumnarExchange [i_manufact_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manufact_id,d_qoy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manufact_id,d_qoy] #2 - WholeStageCodegen (4) - HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] - Project [i_manufact_id,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manufact_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + CometExchange [i_manufact_id] #1 + CometHashAggregate [d_qoy,sum] [i_manufact_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manufact_id,d_qoy] #2 + WholeStageCodegen (4) + HashAggregate [i_manufact_id,d_qoy,ss_sales_price] [sum,sum] + Project [i_manufact_id,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manufact_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_qoy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manufact_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manufact_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_qoy] + InputAdapter + ReusedExchange [d_date_sk,d_qoy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/explain.txt index e362f08727..c232fd729a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/explain.txt @@ -1,65 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (61) -+- * HashAggregate (60) - +- * CometColumnarToRow (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (49) - : +- * BroadcastHashJoin Inner BuildRight (48) - : :- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * CometColumnarToRow (29) - : : : : +- CometHashAggregate (28) - : : : : +- CometColumnarExchange (27) - : : : : +- * HashAggregate (26) - : : : : +- * Project (25) - : : : : +- * BroadcastHashJoin Inner BuildRight (24) - : : : : :- * Project (19) - : : : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : : : :- * Project (16) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) - : : : : : : :- Union (9) - : : : : : : : :- * Project (4) - : : : : : : : : +- * Filter (3) - : : : : : : : : +- * ColumnarToRow (2) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : : +- * Project (8) - : : : : : : : +- * Filter (7) - : : : : : : : +- * ColumnarToRow (6) - : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) - : : : : : : +- BroadcastExchange (14) - : : : : : : +- * CometColumnarToRow (13) - : : : : : : +- CometProject (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- ReusedExchange (17) - : : : : +- BroadcastExchange (23) - : : : : +- * CometColumnarToRow (22) - : : : : +- CometFilter (21) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) - : : : +- BroadcastExchange (33) - : : : +- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) - : +- BroadcastExchange (47) - : +- * CometColumnarToRow (46) - : +- CometProject (45) - : +- CometFilter (44) - : +- CometNativeScan parquet spark_catalog.default.store (43) - +- ReusedExchange (50) +* CometColumnarToRow (60) ++- CometTakeOrderedAndProject (59) + +- CometHashAggregate (58) + +- CometExchange (57) + +- CometHashAggregate (56) + +- CometHashAggregate (55) + +- CometColumnarExchange (54) + +- * HashAggregate (53) + +- * Project (52) + +- * BroadcastHashJoin Inner BuildRight (51) + :- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (42) + : : +- * BroadcastHashJoin Inner BuildRight (41) + : : :- * Project (35) + : : : +- * BroadcastHashJoin Inner BuildRight (34) + : : : :- * CometColumnarToRow (29) + : : : : +- CometHashAggregate (28) + : : : : +- CometColumnarExchange (27) + : : : : +- * HashAggregate (26) + : : : : +- * Project (25) + : : : : +- * BroadcastHashJoin Inner BuildRight (24) + : : : : :- * Project (19) + : : : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : : : :- * Project (16) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (15) + : : : : : : :- Union (9) + : : : : : : : :- * Project (4) + : : : : : : : : +- * Filter (3) + : : : : : : : : +- * ColumnarToRow (2) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : : +- * Project (8) + : : : : : : : +- * Filter (7) + : : : : : : : +- * ColumnarToRow (6) + : : : : : : : +- Scan parquet spark_catalog.default.web_sales (5) + : : : : : : +- BroadcastExchange (14) + : : : : : : +- * CometColumnarToRow (13) + : : : : : : +- CometProject (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- ReusedExchange (17) + : : : : +- BroadcastExchange (23) + : : : : +- * CometColumnarToRow (22) + : : : : +- CometFilter (21) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (20) + : : : +- BroadcastExchange (33) + : : : +- * Filter (32) + : : : +- * ColumnarToRow (31) + : : : +- Scan parquet spark_catalog.default.store_sales (30) + : : +- BroadcastExchange (40) + : : +- * CometColumnarToRow (39) + : : +- CometProject (38) + : : +- CometFilter (37) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (36) + : +- BroadcastExchange (47) + : +- * CometColumnarToRow (46) + : +- CometProject (45) + : +- CometFilter (44) + : +- CometNativeScan parquet spark_catalog.default.store (43) + +- ReusedExchange (50) (1) Scan parquet spark_catalog.default.catalog_sales @@ -134,7 +133,7 @@ Join condition: None Output [2]: [sold_date_sk#5, customer_sk#6] Input [4]: [sold_date_sk#5, customer_sk#6, item_sk#7, i_item_sk#14] -(17) ReusedExchange [Reuses operator id: 66] +(17) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#17] (18) BroadcastHashJoin [codegen id : 6] @@ -287,7 +286,7 @@ Join condition: None Output [3]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22] Input [7]: [c_customer_sk#18, ss_ext_sales_price#21, ss_sold_date_sk#22, ca_county#25, ca_state#27, s_county#28, s_state#30] -(50) ReusedExchange [Reuses operator id: 71] +(50) ReusedExchange [Reuses operator id: 70] Output [1]: [d_date_sk#31] (51) BroadcastHashJoin [codegen id : 11] @@ -311,191 +310,182 @@ Results [2]: [c_customer_sk#18, sum#33] Input [2]: [c_customer_sk#18, sum#33] Arguments: hashpartitioning(c_customer_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(55) CometColumnarToRow [codegen id : 12] -Input [2]: [c_customer_sk#18, sum#33] - -(56) HashAggregate [codegen id : 12] +(55) CometHashAggregate Input [2]: [c_customer_sk#18, sum#33] Keys [1]: [c_customer_sk#18] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#21))#34] -Results [1]: [cast((MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#21))#34,17,2) / 50) as int) AS segment#35] -(57) HashAggregate [codegen id : 12] -Input [1]: [segment#35] -Keys [1]: [segment#35] +(56) CometHashAggregate +Input [1]: [segment#34] +Keys [1]: [segment#34] Functions [1]: [partial_count(1)] -Aggregate Attributes [1]: [count#36] -Results [2]: [segment#35, count#37] -(58) CometColumnarExchange -Input [2]: [segment#35, count#37] -Arguments: hashpartitioning(segment#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(57) CometExchange +Input [2]: [segment#34, count#35] +Arguments: hashpartitioning(segment#34, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(59) CometColumnarToRow [codegen id : 13] -Input [2]: [segment#35, count#37] - -(60) HashAggregate [codegen id : 13] -Input [2]: [segment#35, count#37] -Keys [1]: [segment#35] +(58) CometHashAggregate +Input [2]: [segment#34, count#35] +Keys [1]: [segment#34] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#38] -Results [3]: [segment#35, count(1)#38 AS num_customers#39, (segment#35 * 50) AS segment_base#40] -(61) TakeOrderedAndProject -Input [3]: [segment#35, num_customers#39, segment_base#40] -Arguments: 100, [segment#35 ASC NULLS FIRST, num_customers#39 ASC NULLS FIRST], [segment#35, num_customers#39, segment_base#40] +(59) CometTakeOrderedAndProject +Input [3]: [segment#34, num_customers#36, segment_base#37] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[segment#34 ASC NULLS FIRST,num_customers#36 ASC NULLS FIRST], output=[segment#34,num_customers#36,segment_base#37]), [segment#34, num_customers#36, segment_base#37], 100, 0, [segment#34 ASC NULLS FIRST, num_customers#36 ASC NULLS FIRST], [segment#34, num_customers#36, segment_base#37] + +(60) CometColumnarToRow [codegen id : 12] +Input [3]: [segment#34, num_customers#36, segment_base#37] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (66) -+- * CometColumnarToRow (65) - +- CometProject (64) - +- CometFilter (63) - +- CometNativeScan parquet spark_catalog.default.date_dim (62) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometNativeScan parquet spark_catalog.default.date_dim (61) -(62) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#17, d_year#41, d_moy#42] +(61) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#17, d_year#38, d_moy#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,12), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(63) CometFilter -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 12)) AND (d_year#41 = 1998)) AND isnotnull(d_date_sk#17)) +(62) CometFilter +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] +Condition : ((((isnotnull(d_moy#39) AND isnotnull(d_year#38)) AND (d_moy#39 = 12)) AND (d_year#38 = 1998)) AND isnotnull(d_date_sk#17)) -(64) CometProject -Input [3]: [d_date_sk#17, d_year#41, d_moy#42] +(63) CometProject +Input [3]: [d_date_sk#17, d_year#38, d_moy#39] Arguments: [d_date_sk#17], [d_date_sk#17] -(65) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#17] -(66) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#17] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] Subquery:2 Hosting operator id = 5 Hosting Expression = ws_sold_date_sk#10 IN dynamicpruning#4 Subquery:3 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#23 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.date_dim (67) +BroadcastExchange (70) ++- * CometColumnarToRow (69) + +- CometProject (68) + +- CometFilter (67) + +- CometNativeScan parquet spark_catalog.default.date_dim (66) -(67) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#31, d_month_seq#43] +(66) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#31, d_month_seq#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,ScalarSubquery#44), LessThanOrEqual(d_month_seq,ScalarSubquery#45), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,ScalarSubquery#41), LessThanOrEqual(d_month_seq,ScalarSubquery#42), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter -Input [2]: [d_date_sk#31, d_month_seq#43] -Condition : (((isnotnull(d_month_seq#43) AND (d_month_seq#43 >= ReusedSubquery Subquery scalar-subquery#44, [id=#46])) AND (d_month_seq#43 <= ReusedSubquery Subquery scalar-subquery#45, [id=#47])) AND isnotnull(d_date_sk#31)) +(67) CometFilter +Input [2]: [d_date_sk#31, d_month_seq#40] +Condition : (((isnotnull(d_month_seq#40) AND (d_month_seq#40 >= ReusedSubquery Subquery scalar-subquery#41, [id=#43])) AND (d_month_seq#40 <= ReusedSubquery Subquery scalar-subquery#42, [id=#44])) AND isnotnull(d_date_sk#31)) -(69) CometProject -Input [2]: [d_date_sk#31, d_month_seq#43] +(68) CometProject +Input [2]: [d_date_sk#31, d_month_seq#40] Arguments: [d_date_sk#31], [d_date_sk#31] -(70) CometColumnarToRow [codegen id : 1] +(69) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#31] -(71) BroadcastExchange +(70) BroadcastExchange Input [1]: [d_date_sk#31] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] -Subquery:4 Hosting operator id = 68 Hosting Expression = ReusedSubquery Subquery scalar-subquery#44, [id=#46] +Subquery:4 Hosting operator id = 67 Hosting Expression = ReusedSubquery Subquery scalar-subquery#41, [id=#43] -Subquery:5 Hosting operator id = 68 Hosting Expression = ReusedSubquery Subquery scalar-subquery#45, [id=#47] +Subquery:5 Hosting operator id = 67 Hosting Expression = ReusedSubquery Subquery scalar-subquery#42, [id=#44] -Subquery:6 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#44, [id=#46] -* CometColumnarToRow (78) -+- CometHashAggregate (77) - +- CometExchange (76) - +- CometHashAggregate (75) - +- CometProject (74) - +- CometFilter (73) - +- CometNativeScan parquet spark_catalog.default.date_dim (72) +Subquery:6 Hosting operator id = 66 Hosting Expression = Subquery scalar-subquery#41, [id=#43] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometProject (73) + +- CometFilter (72) + +- CometNativeScan parquet spark_catalog.default.date_dim (71) -(72) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#48, d_year#49, d_moy#50] +(71) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#45, d_year#46, d_moy#47] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(73) CometFilter -Input [3]: [d_month_seq#48, d_year#49, d_moy#50] -Condition : (((isnotnull(d_year#49) AND isnotnull(d_moy#50)) AND (d_year#49 = 1998)) AND (d_moy#50 = 12)) +(72) CometFilter +Input [3]: [d_month_seq#45, d_year#46, d_moy#47] +Condition : (((isnotnull(d_year#46) AND isnotnull(d_moy#47)) AND (d_year#46 = 1998)) AND (d_moy#47 = 12)) -(74) CometProject -Input [3]: [d_month_seq#48, d_year#49, d_moy#50] -Arguments: [(d_month_seq + 1)#51], [(d_month_seq#48 + 1) AS (d_month_seq + 1)#51] +(73) CometProject +Input [3]: [d_month_seq#45, d_year#46, d_moy#47] +Arguments: [(d_month_seq + 1)#48], [(d_month_seq#45 + 1) AS (d_month_seq + 1)#48] -(75) CometHashAggregate -Input [1]: [(d_month_seq + 1)#51] -Keys [1]: [(d_month_seq + 1)#51] +(74) CometHashAggregate +Input [1]: [(d_month_seq + 1)#48] +Keys [1]: [(d_month_seq + 1)#48] Functions: [] -(76) CometExchange -Input [1]: [(d_month_seq + 1)#51] -Arguments: hashpartitioning((d_month_seq + 1)#51, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(75) CometExchange +Input [1]: [(d_month_seq + 1)#48] +Arguments: hashpartitioning((d_month_seq + 1)#48, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(77) CometHashAggregate -Input [1]: [(d_month_seq + 1)#51] -Keys [1]: [(d_month_seq + 1)#51] +(76) CometHashAggregate +Input [1]: [(d_month_seq + 1)#48] +Keys [1]: [(d_month_seq + 1)#48] Functions: [] -(78) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 1)#51] +(77) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 1)#48] -Subquery:7 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#45, [id=#47] -* CometColumnarToRow (85) -+- CometHashAggregate (84) - +- CometExchange (83) - +- CometHashAggregate (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +Subquery:7 Hosting operator id = 66 Hosting Expression = Subquery scalar-subquery#42, [id=#44] +* CometColumnarToRow (84) ++- CometHashAggregate (83) + +- CometExchange (82) + +- CometHashAggregate (81) + +- CometProject (80) + +- CometFilter (79) + +- CometNativeScan parquet spark_catalog.default.date_dim (78) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#52, d_year#53, d_moy#54] +(78) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_month_seq#49, d_year#50, d_moy#51] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,12)] ReadSchema: struct -(80) CometFilter -Input [3]: [d_month_seq#52, d_year#53, d_moy#54] -Condition : (((isnotnull(d_year#53) AND isnotnull(d_moy#54)) AND (d_year#53 = 1998)) AND (d_moy#54 = 12)) +(79) CometFilter +Input [3]: [d_month_seq#49, d_year#50, d_moy#51] +Condition : (((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 12)) -(81) CometProject -Input [3]: [d_month_seq#52, d_year#53, d_moy#54] -Arguments: [(d_month_seq + 3)#55], [(d_month_seq#52 + 3) AS (d_month_seq + 3)#55] +(80) CometProject +Input [3]: [d_month_seq#49, d_year#50, d_moy#51] +Arguments: [(d_month_seq + 3)#52], [(d_month_seq#49 + 3) AS (d_month_seq + 3)#52] -(82) CometHashAggregate -Input [1]: [(d_month_seq + 3)#55] -Keys [1]: [(d_month_seq + 3)#55] +(81) CometHashAggregate +Input [1]: [(d_month_seq + 3)#52] +Keys [1]: [(d_month_seq + 3)#52] Functions: [] -(83) CometExchange -Input [1]: [(d_month_seq + 3)#55] -Arguments: hashpartitioning((d_month_seq + 3)#55, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] +(82) CometExchange +Input [1]: [(d_month_seq + 3)#52] +Arguments: hashpartitioning((d_month_seq + 3)#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(84) CometHashAggregate -Input [1]: [(d_month_seq + 3)#55] -Keys [1]: [(d_month_seq + 3)#55] +(83) CometHashAggregate +Input [1]: [(d_month_seq + 3)#52] +Keys [1]: [(d_month_seq + 3)#52] Functions: [] -(85) CometColumnarToRow [codegen id : 1] -Input [1]: [(d_month_seq + 3)#55] +(84) CometColumnarToRow [codegen id : 1] +Input [1]: [(d_month_seq + 3)#52] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/extended.txt index 51c5ebdbea..d39d759d13 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/extended.txt @@ -1,120 +1,119 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Union - : : : : : : : :- Project - : : : : : : : : +- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- SubqueryBroadcast - : : : : : : : : +- BroadcastExchange - : : : : : : : : +- CometColumnarToRow - : : : : : : : : +- CometProject - : : : : : : : : +- CometFilter - : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : : +- Project - : : : : : : : +- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : : :- ReusedSubquery - : : : : +- ReusedSubquery - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometExchange - : : : : +- CometHashAggregate - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Subquery - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - : :- ReusedSubquery - : +- ReusedSubquery - +- CometNativeScan parquet spark_catalog.default.date_dim - :- Subquery - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Subquery - +- CometColumnarToRow - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Union + : : : : : : : :- Project + : : : : : : : : +- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- SubqueryBroadcast + : : : : : : : : +- BroadcastExchange + : : : : : : : : +- CometColumnarToRow + : : : : : : : : +- CometProject + : : : : : : : : +- CometFilter + : : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : : +- Project + : : : : : : : +- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : : :- ReusedSubquery + : : : : +- ReusedSubquery + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometExchange + : : : : +- CometHashAggregate + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + : :- ReusedSubquery + : +- ReusedSubquery + +- CometNativeScan parquet spark_catalog.default.date_dim + :- Subquery + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- Subquery + +- CometColumnarToRow + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 51 out of 100 eligible operators (51%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 55 out of 100 eligible operators (55%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/simplified.txt index 6e6245b520..fca17ec550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q54.native_datafusion/simplified.txt @@ -1,129 +1,126 @@ -TakeOrderedAndProject [segment,num_customers,segment_base] - WholeStageCodegen (13) - HashAggregate [segment,count] [count(1),num_customers,segment_base,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [segment] #1 - WholeStageCodegen (12) - HashAggregate [segment] [count,count] - HashAggregate [c_customer_sk,sum] [sum(UnscaledValue(ss_ext_sales_price)),segment,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_sk] #2 - WholeStageCodegen (11) - HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] - Project [c_customer_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [ca_county,ca_state,s_county,s_state] - Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometHashAggregate [c_customer_sk,c_current_addr_sk] - CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 - WholeStageCodegen (6) - HashAggregate [c_customer_sk,c_current_addr_sk] - Project [c_customer_sk,c_current_addr_sk] - BroadcastHashJoin [customer_sk,c_customer_sk] - Project [customer_sk] - BroadcastHashJoin [sold_date_sk,d_date_sk] - Project [sold_date_sk,customer_sk] - BroadcastHashJoin [item_sk,i_item_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] - Filter [cs_item_sk,cs_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - WholeStageCodegen (2) - Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] - Filter [ws_item_sk,ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_sk] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (7) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - ReusedSubquery [(d_month_seq + 1)] #3 - ReusedSubquery [(d_month_seq + 3)] #4 - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - Subquery #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 1)] - CometExchange [(d_month_seq + 1)] #9 - CometHashAggregate [(d_month_seq + 1)] - CometProject [d_month_seq] [(d_month_seq + 1)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] - Subquery #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometHashAggregate [(d_month_seq + 3)] - CometExchange [(d_month_seq + 3)] #10 - CometHashAggregate [(d_month_seq + 3)] - CometProject [d_month_seq] [(d_month_seq + 3)] - CometFilter [d_month_seq,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] +WholeStageCodegen (12) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [segment,num_customers,segment_base] + CometHashAggregate [count] [segment,num_customers,segment_base,count(1)] + CometExchange [segment] #1 + CometHashAggregate [segment,count] + CometHashAggregate [c_customer_sk,sum] [segment,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [c_customer_sk] #2 + WholeStageCodegen (11) + HashAggregate [c_customer_sk,ss_ext_sales_price] [sum,sum] + Project [c_customer_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [ca_county,ca_state,s_county,s_state] + Project [c_customer_sk,ss_ext_sales_price,ss_sold_date_sk,ca_county,ca_state] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [c_customer_sk,c_current_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow InputAdapter - BroadcastExchange #11 - WholeStageCodegen (8) - CometColumnarToRow + CometHashAggregate [c_customer_sk,c_current_addr_sk] + CometColumnarExchange [c_customer_sk,c_current_addr_sk] #3 + WholeStageCodegen (6) + HashAggregate [c_customer_sk,c_current_addr_sk] + Project [c_customer_sk,c_current_addr_sk] + BroadcastHashJoin [customer_sk,c_customer_sk] + Project [customer_sk] + BroadcastHashJoin [sold_date_sk,d_date_sk] + Project [sold_date_sk,customer_sk] + BroadcastHashJoin [item_sk,i_item_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [cs_sold_date_sk,cs_bill_customer_sk,cs_item_sk] + Filter [cs_item_sk,cs_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_customer_sk,cs_item_sk,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + WholeStageCodegen (2) + Project [ws_sold_date_sk,ws_bill_customer_sk,ws_item_sk] + Filter [ws_item_sk,ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_customer_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_sk] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Filter [ss_customer_sk] + ColumnarToRow InputAdapter - CometProject [ca_state] [ca_address_sk,ca_county,ca_state] - CometFilter [ca_address_sk,ca_county,ca_state] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_county,s_state] - CometFilter [s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_county,s_state] - InputAdapter - ReusedExchange [d_date_sk] #8 + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + ReusedSubquery [(d_month_seq + 1)] #3 + ReusedSubquery [(d_month_seq + 3)] #4 + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + Subquery #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 1)] + CometExchange [(d_month_seq + 1)] #9 + CometHashAggregate [(d_month_seq + 1)] + CometProject [d_month_seq] [(d_month_seq + 1)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + Subquery #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometHashAggregate [(d_month_seq + 3)] + CometExchange [(d_month_seq + 3)] #10 + CometHashAggregate [(d_month_seq + 3)] + CometProject [d_month_seq] [(d_month_seq + 3)] + CometFilter [d_month_seq,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_month_seq,d_year,d_moy] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [ca_state] [ca_address_sk,ca_county,ca_state] + CometFilter [ca_address_sk,ca_county,ca_state] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_county,ca_state] + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_county,s_state] + CometFilter [s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_county,s_state] + InputAdapter + ReusedExchange [d_date_sk] #8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/explain.txt index dab8a2806c..3068b7d276 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -194,227 +191,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,2), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 2001)) AND (d_moy#51 = 2)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 2001)) AND (d_moy#45 = 2)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/simplified.txt index 81d90bdfb2..30fea52641 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q56.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [total_sales,i_item_id] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_color] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_color] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_color] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/explain.txt index 9d35d600a6..6e99ffc45d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] -Keys [5]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(cs_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#29))#18] -Results [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(cs_sales_price#29))#18,17,2) AS sum_sales#30] +(32) CometHashAggregate +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum#27] +Keys [5]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(cs_sales_price#28))] -(35) CometColumnarExchange -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: hashpartitioning(i_category#23, i_brand#24, cc_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: hashpartitioning(i_category#22, i_brand#23, cc_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30], [i_category#23 ASC NULLS FIRST, i_brand#24 ASC NULLS FIRST, cc_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29], [i_category#22 ASC NULLS FIRST, i_brand#23 ASC NULLS FIRST, cc_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] -(38) Window -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#23, i_brand#24, cc_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#31], [i_category#23, i_brand#24, cc_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#22, i_brand#23, cc_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#22, i_brand#23, cc_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] -Input [7]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30, rn#31] +(37) Project [codegen id : 12] +Output [5]: [i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] +Input [7]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29, rn#30] -(40) BroadcastExchange -Input [5]: [i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] +(38) BroadcastExchange +Input [5]: [i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#23, i_brand#24, cc_name#25, (rn#31 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#22, i_brand#23, cc_name#24, (rn#30 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#30] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#29] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] -(44) CometSort -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] -Arguments: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37], [i_category#32 ASC NULLS FIRST, i_brand#33 ASC NULLS FIRST, cc_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] +Arguments: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36], [i_category#31 ASC NULLS FIRST, i_brand#32 ASC NULLS FIRST, cc_name#33 ASC NULLS FIRST, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] -(46) Window -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] -Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#32, i_brand#33, cc_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#32, i_brand#33, cc_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] +Arguments: [rank(d_year#34, d_moy#35) windowspecdefinition(i_category#31, i_brand#32, cc_name#33, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#31, i_brand#32, cc_name#33], [d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] -Input [7]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37, rn#38] +(45) Project [codegen id : 18] +Output [5]: [i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] +Input [7]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36, rn#37] -(48) BroadcastExchange -Input [5]: [i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] +(46) BroadcastExchange +Input [5]: [i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#32, i_brand#33, cc_name#34, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#31, i_brand#32, cc_name#33, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#30 AS psum#39, sum_sales#37 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#30, i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] +(48) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#29 AS psum#38, sum_sales#36 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#29, i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] -(51) TakeOrderedAndProject -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST], [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/simplified.txt index 4f9ac35f4d..320acb9508 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_year,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,cc_name,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,cc_name,i_category,i_brand,d_ Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/explain.txt index 6ea099c1da..7452e39753 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/explain.txt @@ -1,57 +1,55 @@ == Physical Plan == -TakeOrderedAndProject (53) -+- * Project (52) - +- * BroadcastHashJoin Inner BuildRight (51) - :- * Project (35) - : +- * BroadcastHashJoin Inner BuildRight (34) - : :- * Filter (18) - : : +- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (33) - : +- * Filter (32) - : +- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Filter (21) - : : : +- * ColumnarToRow (20) - : : : +- Scan parquet spark_catalog.default.catalog_sales (19) - : : +- ReusedExchange (22) - : +- ReusedExchange (25) - +- BroadcastExchange (50) - +- * Filter (49) - +- * HashAggregate (48) - +- * CometColumnarToRow (47) - +- CometColumnarExchange (46) - +- * HashAggregate (45) - +- * Project (44) - +- * BroadcastHashJoin Inner BuildRight (43) - :- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Filter (38) - : : +- * ColumnarToRow (37) - : : +- Scan parquet spark_catalog.default.web_sales (36) - : +- ReusedExchange (39) - +- ReusedExchange (42) +* CometColumnarToRow (51) ++- CometTakeOrderedAndProject (50) + +- CometProject (49) + +- CometBroadcastHashJoin (48) + :- CometProject (33) + : +- CometBroadcastHashJoin (32) + : :- CometFilter (17) + : : +- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (31) + : +- CometFilter (30) + : +- CometHashAggregate (29) + : +- CometColumnarExchange (28) + : +- * HashAggregate (27) + : +- * Project (26) + : +- * BroadcastHashJoin Inner BuildRight (25) + : :- * Project (23) + : : +- * BroadcastHashJoin Inner BuildRight (22) + : : :- * Filter (20) + : : : +- * ColumnarToRow (19) + : : : +- Scan parquet spark_catalog.default.catalog_sales (18) + : : +- ReusedExchange (21) + : +- ReusedExchange (24) + +- CometBroadcastExchange (47) + +- CometFilter (46) + +- CometHashAggregate (45) + +- CometColumnarExchange (44) + +- * HashAggregate (43) + +- * Project (42) + +- * BroadcastHashJoin Inner BuildRight (41) + :- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Filter (36) + : : +- * ColumnarToRow (35) + : : +- Scan parquet spark_catalog.default.web_sales (34) + : +- ReusedExchange (37) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.store_sales @@ -101,7 +99,7 @@ Join condition: None Output [3]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#7] Input [5]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 63] +(11) ReusedExchange [Reuses operator id: 61] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -125,274 +123,260 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#11] -Results [2]: [i_item_id#7 AS item_id#12, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#11,17,2) AS ss_item_rev#13] -(18) Filter [codegen id : 12] -Input [2]: [item_id#12, ss_item_rev#13] -Condition : isnotnull(ss_item_rev#13) +(17) CometFilter +Input [2]: [item_id#11, ss_item_rev#12] +Condition : isnotnull(ss_item_rev#12) -(19) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(18) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#16), dynamicpruningexpression(cs_sold_date_sk#16 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(cs_sold_date_sk#15), dynamicpruningexpression(cs_sold_date_sk#15 IN dynamicpruning#4)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] +(19) ColumnarToRow [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] -(21) Filter [codegen id : 6] -Input [3]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16] -Condition : isnotnull(cs_item_sk#14) +(20) Filter [codegen id : 6] +Input [3]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15] +Condition : isnotnull(cs_item_sk#13) -(22) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#17, i_item_id#18] +(21) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#16, i_item_id#17] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_item_sk#14] -Right keys [1]: [i_item_sk#17] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_item_sk#13] +Right keys [1]: [i_item_sk#16] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#18] -Input [5]: [cs_item_sk#14, cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_sk#17, i_item_id#18] +(23) Project [codegen id : 6] +Output [3]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#17] +Input [5]: [cs_item_sk#13, cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_sk#16, i_item_id#17] -(25) ReusedExchange [Reuses operator id: 63] -Output [1]: [d_date_sk#19] +(24) ReusedExchange [Reuses operator id: 61] +Output [1]: [d_date_sk#18] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cs_sold_date_sk#16] -Right keys [1]: [d_date_sk#19] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cs_sold_date_sk#15] +Right keys [1]: [d_date_sk#18] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [2]: [cs_ext_sales_price#15, i_item_id#18] -Input [4]: [cs_ext_sales_price#15, cs_sold_date_sk#16, i_item_id#18, d_date_sk#19] - -(28) HashAggregate [codegen id : 6] -Input [2]: [cs_ext_sales_price#15, i_item_id#18] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum#20] -Results [2]: [i_item_id#18, sum#21] - -(29) CometColumnarExchange -Input [2]: [i_item_id#18, sum#21] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] - -(31) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#15))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#15))#22] -Results [2]: [i_item_id#18 AS item_id#23, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#15))#22,17,2) AS cs_item_rev#24] - -(32) Filter [codegen id : 7] -Input [2]: [item_id#23, cs_item_rev#24] -Condition : isnotnull(cs_item_rev#24) - -(33) BroadcastExchange -Input [2]: [item_id#23, cs_item_rev#24] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(34) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#23] -Join type: Inner -Join condition: ((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * cs_item_rev#24)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * cs_item_rev#24))) AND (cast(cs_item_rev#24 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(cs_item_rev#24 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) - -(35) Project [codegen id : 12] -Output [3]: [item_id#12, ss_item_rev#13, cs_item_rev#24] -Input [4]: [item_id#12, ss_item_rev#13, item_id#23, cs_item_rev#24] - -(36) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] +(26) Project [codegen id : 6] +Output [2]: [cs_ext_sales_price#14, i_item_id#17] +Input [4]: [cs_ext_sales_price#14, cs_sold_date_sk#15, i_item_id#17, d_date_sk#18] + +(27) HashAggregate [codegen id : 6] +Input [2]: [cs_ext_sales_price#14, i_item_id#17] +Keys [1]: [i_item_id#17] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#14))] +Aggregate Attributes [1]: [sum#19] +Results [2]: [i_item_id#17, sum#20] + +(28) CometColumnarExchange +Input [2]: [i_item_id#17, sum#20] +Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [2]: [i_item_id#17, sum#20] +Keys [1]: [i_item_id#17] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#14))] + +(30) CometFilter +Input [2]: [item_id#21, cs_item_rev#22] +Condition : isnotnull(cs_item_rev#22) + +(31) CometBroadcastExchange +Input [2]: [item_id#21, cs_item_rev#22] +Arguments: [item_id#21, cs_item_rev#22] + +(32) CometBroadcastHashJoin +Left output [2]: [item_id#11, ss_item_rev#12] +Right output [2]: [item_id#21, cs_item_rev#22] +Arguments: [item_id#11], [item_id#21], Inner, ((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * cs_item_rev#22)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * cs_item_rev#22))) AND (cast(cs_item_rev#22 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(cs_item_rev#22 as decimal(20,3)) <= (1.1 * ss_item_rev#12))), BuildRight + +(33) CometProject +Input [4]: [item_id#11, ss_item_rev#12, item_id#21, cs_item_rev#22] +Arguments: [item_id#11, ss_item_rev#12, cs_item_rev#22], [item_id#11, ss_item_rev#12, cs_item_rev#22] + +(34) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#27), dynamicpruningexpression(ws_sold_date_sk#27 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ws_sold_date_sk#25), dynamicpruningexpression(ws_sold_date_sk#25 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(37) ColumnarToRow [codegen id : 10] -Input [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] +(35) ColumnarToRow [codegen id : 9] +Input [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] -(38) Filter [codegen id : 10] -Input [3]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27] -Condition : isnotnull(ws_item_sk#25) +(36) Filter [codegen id : 9] +Input [3]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25] +Condition : isnotnull(ws_item_sk#23) -(39) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#28, i_item_id#29] +(37) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#26, i_item_id#27] -(40) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_item_sk#25] -Right keys [1]: [i_item_sk#28] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_item_sk#23] +Right keys [1]: [i_item_sk#26] Join type: Inner Join condition: None -(41) Project [codegen id : 10] -Output [3]: [ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_id#29] -Input [5]: [ws_item_sk#25, ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_sk#28, i_item_id#29] +(39) Project [codegen id : 9] +Output [3]: [ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_id#27] +Input [5]: [ws_item_sk#23, ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_sk#26, i_item_id#27] -(42) ReusedExchange [Reuses operator id: 63] -Output [1]: [d_date_sk#30] +(40) ReusedExchange [Reuses operator id: 61] +Output [1]: [d_date_sk#28] -(43) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#27] -Right keys [1]: [d_date_sk#30] +(41) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#25] +Right keys [1]: [d_date_sk#28] Join type: Inner Join condition: None -(44) Project [codegen id : 10] -Output [2]: [ws_ext_sales_price#26, i_item_id#29] -Input [4]: [ws_ext_sales_price#26, ws_sold_date_sk#27, i_item_id#29, d_date_sk#30] - -(45) HashAggregate [codegen id : 10] -Input [2]: [ws_ext_sales_price#26, i_item_id#29] -Keys [1]: [i_item_id#29] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#26))] -Aggregate Attributes [1]: [sum#31] -Results [2]: [i_item_id#29, sum#32] - -(46) CometColumnarExchange -Input [2]: [i_item_id#29, sum#32] -Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(47) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] - -(48) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] -Keys [1]: [i_item_id#29] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#26))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#26))#33] -Results [2]: [i_item_id#29 AS item_id#34, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#26))#33,17,2) AS ws_item_rev#35] - -(49) Filter [codegen id : 11] -Input [2]: [item_id#34, ws_item_rev#35] -Condition : isnotnull(ws_item_rev#35) - -(50) BroadcastExchange -Input [2]: [item_id#34, ws_item_rev#35] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(51) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#34] -Join type: Inner -Join condition: ((((((((cast(ss_item_rev#13 as decimal(19,3)) >= (0.9 * ws_item_rev#35)) AND (cast(ss_item_rev#13 as decimal(20,3)) <= (1.1 * ws_item_rev#35))) AND (cast(cs_item_rev#24 as decimal(19,3)) >= (0.9 * ws_item_rev#35))) AND (cast(cs_item_rev#24 as decimal(20,3)) <= (1.1 * ws_item_rev#35))) AND (cast(ws_item_rev#35 as decimal(19,3)) >= (0.9 * ss_item_rev#13))) AND (cast(ws_item_rev#35 as decimal(20,3)) <= (1.1 * ss_item_rev#13))) AND (cast(ws_item_rev#35 as decimal(19,3)) >= (0.9 * cs_item_rev#24))) AND (cast(ws_item_rev#35 as decimal(20,3)) <= (1.1 * cs_item_rev#24))) +(42) Project [codegen id : 9] +Output [2]: [ws_ext_sales_price#24, i_item_id#27] +Input [4]: [ws_ext_sales_price#24, ws_sold_date_sk#25, i_item_id#27, d_date_sk#28] -(52) Project [codegen id : 12] -Output [8]: [item_id#12, ss_item_rev#13, (((ss_item_rev#13 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS ss_dev#36, cs_item_rev#24, (((cs_item_rev#24 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS cs_dev#37, ws_item_rev#35, (((ws_item_rev#35 / ((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35)) / 3) * 100) AS ws_dev#38, (((ss_item_rev#13 + cs_item_rev#24) + ws_item_rev#35) / 3) AS average#39] -Input [5]: [item_id#12, ss_item_rev#13, cs_item_rev#24, item_id#34, ws_item_rev#35] +(43) HashAggregate [codegen id : 9] +Input [2]: [ws_ext_sales_price#24, i_item_id#27] +Keys [1]: [i_item_id#27] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#24))] +Aggregate Attributes [1]: [sum#29] +Results [2]: [i_item_id#27, sum#30] -(53) TakeOrderedAndProject -Input [8]: [item_id#12, ss_item_rev#13, ss_dev#36, cs_item_rev#24, cs_dev#37, ws_item_rev#35, ws_dev#38, average#39] -Arguments: 100, [item_id#12 ASC NULLS FIRST, ss_item_rev#13 ASC NULLS FIRST], [item_id#12, ss_item_rev#13, ss_dev#36, cs_item_rev#24, cs_dev#37, ws_item_rev#35, ws_dev#38, average#39] +(44) CometColumnarExchange +Input [2]: [i_item_id#27, sum#30] +Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(45) CometHashAggregate +Input [2]: [i_item_id#27, sum#30] +Keys [1]: [i_item_id#27] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#24))] -Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (63) -+- * CometColumnarToRow (62) - +- CometProject (61) - +- CometBroadcastHashJoin (60) - :- CometFilter (55) - : +- CometNativeScan parquet spark_catalog.default.date_dim (54) - +- CometBroadcastExchange (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +(46) CometFilter +Input [2]: [item_id#31, ws_item_rev#32] +Condition : isnotnull(ws_item_rev#32) +(47) CometBroadcastExchange +Input [2]: [item_id#31, ws_item_rev#32] +Arguments: [item_id#31, ws_item_rev#32] -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#40] +(48) CometBroadcastHashJoin +Left output [3]: [item_id#11, ss_item_rev#12, cs_item_rev#22] +Right output [2]: [item_id#31, ws_item_rev#32] +Arguments: [item_id#11], [item_id#31], Inner, ((((((((cast(ss_item_rev#12 as decimal(19,3)) >= (0.9 * ws_item_rev#32)) AND (cast(ss_item_rev#12 as decimal(20,3)) <= (1.1 * ws_item_rev#32))) AND (cast(cs_item_rev#22 as decimal(19,3)) >= (0.9 * ws_item_rev#32))) AND (cast(cs_item_rev#22 as decimal(20,3)) <= (1.1 * ws_item_rev#32))) AND (cast(ws_item_rev#32 as decimal(19,3)) >= (0.9 * ss_item_rev#12))) AND (cast(ws_item_rev#32 as decimal(20,3)) <= (1.1 * ss_item_rev#12))) AND (cast(ws_item_rev#32 as decimal(19,3)) >= (0.9 * cs_item_rev#22))) AND (cast(ws_item_rev#32 as decimal(20,3)) <= (1.1 * cs_item_rev#22))), BuildRight + +(49) CometProject +Input [5]: [item_id#11, ss_item_rev#12, cs_item_rev#22, item_id#31, ws_item_rev#32] +Arguments: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36], [item_id#11, ss_item_rev#12, (((ss_item_rev#12 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS ss_dev#33, cs_item_rev#22, (((cs_item_rev#22 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS cs_dev#34, ws_item_rev#32, (((ws_item_rev#32 / ((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32)) / 3) * 100) AS ws_dev#35, (((ss_item_rev#12 + cs_item_rev#22) + ws_item_rev#32) / 3) AS average#36] + +(50) CometTakeOrderedAndProject +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#11 ASC NULLS FIRST,ss_item_rev#12 ASC NULLS FIRST], output=[item_id#11,ss_item_rev#12,ss_dev#33,cs_item_rev#22,cs_dev#34,ws_item_rev#32,ws_dev#35,average#36]), [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36], 100, 0, [item_id#11 ASC NULLS FIRST, ss_item_rev#12 ASC NULLS FIRST], [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] + +(51) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#11, ss_item_rev#12, ss_dev#33, cs_item_rev#22, cs_dev#34, ws_item_rev#32, ws_dev#35, average#36] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (61) ++- * CometColumnarToRow (60) + +- CometProject (59) + +- CometBroadcastHashJoin (58) + :- CometFilter (53) + : +- CometNativeScan parquet spark_catalog.default.date_dim (52) + +- CometBroadcastExchange (57) + +- CometProject (56) + +- CometFilter (55) + +- CometNativeScan parquet spark_catalog.default.date_dim (54) + + +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#37] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date_sk#8, d_date#40] +(53) CometFilter +Input [2]: [d_date_sk#8, d_date#37] Condition : isnotnull(d_date_sk#8) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(54) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#43)] +PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#40)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date#41, d_week_seq#42] -Condition : (isnotnull(d_week_seq#42) AND (d_week_seq#42 = ReusedSubquery Subquery scalar-subquery#43, [id=#44])) +(55) CometFilter +Input [2]: [d_date#38, d_week_seq#39] +Condition : (isnotnull(d_week_seq#39) AND (d_week_seq#39 = ReusedSubquery Subquery scalar-subquery#40, [id=#41])) -(58) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(56) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(59) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(57) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(60) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#40] -Right output [1]: [d_date#41] -Arguments: [d_date#40], [d_date#41], LeftSemi, BuildRight +(58) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#37] +Right output [1]: [d_date#38] +Arguments: [d_date#37], [d_date#38], LeftSemi, BuildRight -(61) CometProject -Input [2]: [d_date_sk#8, d_date#40] +(59) CometProject +Input [2]: [d_date_sk#8, d_date#37] Arguments: [d_date_sk#8], [d_date_sk#8] -(62) CometColumnarToRow [codegen id : 1] +(60) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(63) BroadcastExchange +(61) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 57 Hosting Expression = ReusedSubquery Subquery scalar-subquery#43, [id=#44] +Subquery:2 Hosting operator id = 55 Hosting Expression = ReusedSubquery Subquery scalar-subquery#40, [id=#41] -Subquery:3 Hosting operator id = 56 Hosting Expression = Subquery scalar-subquery#43, [id=#44] -* CometColumnarToRow (67) -+- CometProject (66) - +- CometFilter (65) - +- CometNativeScan parquet spark_catalog.default.date_dim (64) +Subquery:3 Hosting operator id = 54 Hosting Expression = Subquery scalar-subquery#40, [id=#41] +* CometColumnarToRow (65) ++- CometProject (64) + +- CometFilter (63) + +- CometNativeScan parquet spark_catalog.default.date_dim (62) -(64) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#45, d_week_seq#46] +(62) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#42, d_week_seq#43] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), EqualTo(d_date,2000-01-03)] ReadSchema: struct -(65) CometFilter -Input [2]: [d_date#45, d_week_seq#46] -Condition : (isnotnull(d_date#45) AND (d_date#45 = 2000-01-03)) +(63) CometFilter +Input [2]: [d_date#42, d_week_seq#43] +Condition : (isnotnull(d_date#42) AND (d_date#42 = 2000-01-03)) -(66) CometProject -Input [2]: [d_date#45, d_week_seq#46] -Arguments: [d_week_seq#46], [d_week_seq#46] +(64) CometProject +Input [2]: [d_date#42, d_week_seq#43] +Arguments: [d_week_seq#43], [d_week_seq#43] -(67) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#46] +(65) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#43] -Subquery:4 Hosting operator id = 19 Hosting Expression = cs_sold_date_sk#16 IN dynamicpruning#4 +Subquery:4 Hosting operator id = 18 Hosting Expression = cs_sold_date_sk#15 IN dynamicpruning#4 -Subquery:5 Hosting operator id = 36 Hosting Expression = ws_sold_date_sk#27 IN dynamicpruning#4 +Subquery:5 Hosting operator id = 34 Hosting Expression = ws_sold_date_sk#25 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/extended.txt index 787f30c437..f41b254f4a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/extended.txt @@ -1,97 +1,95 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- ReusedSubquery - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : : +- ReusedSubquery - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : : +- ReusedSubquery - : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Subquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- ReusedSubquery + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : : +- ReusedSubquery + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : : +- ReusedSubquery + : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Subquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -124,4 +122,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 56 out of 108 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 69 out of 108 eligible operators (63%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/simplified.txt index fd841da602..929d8e5571 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q58.native_datafusion/simplified.txt @@ -1,13 +1,13 @@ -TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] - WholeStageCodegen (12) - Project [item_id,ss_item_rev,cs_item_rev,ws_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,ws_item_rev,cs_item_rev] - Project [item_id,ss_item_rev,cs_item_rev] - BroadcastHashJoin [item_id,item_id,ss_item_rev,cs_item_rev] - Filter [ss_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),item_id,ss_item_rev,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev,ws_dev,average] + CometBroadcastHashJoin [item_id,ss_item_rev,cs_item_rev,item_id,ws_item_rev] + CometProject [item_id,ss_item_rev,cs_item_rev] + CometBroadcastHashJoin [item_id,ss_item_rev,item_id,cs_item_rev] + CometFilter [item_id,ss_item_rev] + CometHashAggregate [sum] [item_id,ss_item_rev,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] @@ -50,49 +50,41 @@ TakeOrderedAndProject [item_id,ss_item_rev,ss_dev,cs_item_rev,cs_dev,ws_item_rev CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Filter [cs_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),item_id,cs_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (6) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #4 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (11) - Filter [ws_item_rev] - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),item_id,ws_item_rev,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (10) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] + CometBroadcastExchange [item_id,cs_item_rev] #5 + CometFilter [item_id,cs_item_rev] + CometHashAggregate [sum] [item_id,cs_item_rev,i_item_id,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #6 + WholeStageCodegen (6) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [i_item_sk,i_item_id] #4 InputAdapter ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [item_id,ws_item_rev] #7 + CometFilter [item_id,ws_item_rev] + CometHashAggregate [sum] [item_id,ws_item_rev,i_item_id,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (9) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #4 + InputAdapter + ReusedExchange [d_date_sk] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/explain.txt index 48c6b7db44..6a88690a20 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#21] Input [2]: [ca_state#3, count#21] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#21] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#21] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#22] -Results [2]: [ca_state#3 AS state#23, count(1)#22 AS cnt#24] -(39) Filter [codegen id : 5] -Input [2]: [state#23, cnt#24] -Condition : (cnt#24 >= 10) +(38) CometFilter +Input [2]: [state#22, cnt#23] +Condition : (cnt#23 >= 10) + +(39) CometTakeOrderedAndProject +Input [2]: [state#22, cnt#23] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#23 ASC NULLS FIRST], output=[state#22,cnt#23]), [state#22, cnt#23], 100, 0, [cnt#23 ASC NULLS FIRST], [state#22, cnt#23] -(40) TakeOrderedAndProject -Input [2]: [state#23, cnt#24] -Arguments: 100, [cnt#24 ASC NULLS FIRST], [state#23, cnt#24] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#22, cnt#23] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#25] +Output [2]: [d_date_sk#10, d_month_seq#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#26), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#25), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#25] -Condition : ((isnotnull(d_month_seq#25) AND (d_month_seq#25 = ReusedSubquery Subquery scalar-subquery#26, [id=#27])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#24] +Condition : ((isnotnull(d_month_seq#24) AND (d_month_seq#24 = ReusedSubquery Subquery scalar-subquery#25, [id=#26])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#25] +Input [2]: [d_date_sk#10, d_month_seq#24] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,9 +257,9 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = ReusedSubquery Subquery scalar-subquery#26, [id=#27] +Subquery:2 Hosting operator id = 42 Hosting Expression = ReusedSubquery Subquery scalar-subquery#25, [id=#26] -Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquery#26, [id=#27] +Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquery#25, [id=#26] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -272,35 +270,35 @@ Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#28, d_year#29, d_moy#30] +Output [3]: [d_month_seq#27, d_year#28, d_moy#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Condition : (((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2000)) AND (d_moy#30 = 1)) +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Condition : (((isnotnull(d_year#28) AND isnotnull(d_moy#29)) AND (d_year#28 = 2000)) AND (d_moy#29 = 1)) (48) CometProject -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Arguments: [d_month_seq#28], [d_month_seq#28] +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Arguments: [d_month_seq#27], [d_month_seq#27] (49) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#28] -Arguments: hashpartitioning(d_month_seq#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#27] +Arguments: hashpartitioning(d_month_seq#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/extended.txt index ee120ac920..7b3bb445c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 60 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 60 eligible operators (70%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/simplified.txt index 6b96848c69..1af5d36a20 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [state,cnt] + CometFilter [state,cnt] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/explain.txt index 38d1c84a80..5d41a98f81 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/explain.txt @@ -1,71 +1,68 @@ == Physical Plan == -TakeOrderedAndProject (67) -+- * HashAggregate (66) - +- * CometColumnarToRow (65) - +- CometColumnarExchange (64) - +- * HashAggregate (63) - +- Union (62) - :- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : +- BroadcastExchange (23) - : +- * CometColumnarToRow (22) - : +- CometProject (21) - : +- CometBroadcastHashJoin (20) - : :- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.item (14) - : +- CometBroadcastExchange (19) - : +- CometProject (18) - : +- CometFilter (17) - : +- CometNativeScan parquet spark_catalog.default.item (16) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * Project (41) - : +- * BroadcastHashJoin Inner BuildRight (40) - : :- * Project (38) - : : +- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- * Filter (32) - : : : : +- * ColumnarToRow (31) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (30) - : : : +- ReusedExchange (33) - : : +- ReusedExchange (36) - : +- ReusedExchange (39) - +- * HashAggregate (61) - +- * CometColumnarToRow (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- * Project (57) - +- * BroadcastHashJoin Inner BuildRight (56) - :- * Project (54) - : +- * BroadcastHashJoin Inner BuildRight (53) - : :- * Project (51) - : : +- * BroadcastHashJoin Inner BuildRight (50) - : : :- * Filter (48) - : : : +- * ColumnarToRow (47) - : : : +- Scan parquet spark_catalog.default.web_sales (46) - : : +- ReusedExchange (49) - : +- ReusedExchange (52) - +- ReusedExchange (55) +* CometColumnarToRow (64) ++- CometTakeOrderedAndProject (63) + +- CometHashAggregate (62) + +- CometExchange (61) + +- CometHashAggregate (60) + +- CometUnion (59) + :- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : +- BroadcastExchange (23) + : +- * CometColumnarToRow (22) + : +- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.item (14) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (37) + : : +- * BroadcastHashJoin Inner BuildRight (36) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- * Filter (31) + : : : : +- * ColumnarToRow (30) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (29) + : : : +- ReusedExchange (32) + : : +- ReusedExchange (35) + : +- ReusedExchange (38) + +- CometHashAggregate (58) + +- CometColumnarExchange (57) + +- * HashAggregate (56) + +- * Project (55) + +- * BroadcastHashJoin Inner BuildRight (54) + :- * Project (52) + : +- * BroadcastHashJoin Inner BuildRight (51) + : :- * Project (49) + : : +- * BroadcastHashJoin Inner BuildRight (48) + : : :- * Filter (46) + : : : +- * ColumnarToRow (45) + : : : +- Scan parquet spark_catalog.default.web_sales (44) + : : +- ReusedExchange (47) + : +- ReusedExchange (50) + +- ReusedExchange (53) (1) Scan parquet spark_catalog.default.store_sales @@ -83,7 +80,7 @@ Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Input [4]: [ss_item_sk#1, ss_addr_sk#2, ss_ext_sales_price#3, ss_sold_date_sk#4] Condition : (isnotnull(ss_addr_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 72] +(4) ReusedExchange [Reuses operator id: 69] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -195,227 +192,211 @@ Results [2]: [i_item_id#14, sum#16] Input [2]: [i_item_id#14, sum#16] Arguments: hashpartitioning(i_item_id#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(28) CometColumnarToRow [codegen id : 5] -Input [2]: [i_item_id#14, sum#16] - -(29) HashAggregate [codegen id : 5] +(28) CometHashAggregate Input [2]: [i_item_id#14, sum#16] Keys [1]: [i_item_id#14] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#3))#17] -Results [2]: [i_item_id#14 AS i_item_id#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#17,17,2) AS total_sales#19] -(30) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(29) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#23), dynamicpruningexpression(cs_sold_date_sk#23 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#20), dynamicpruningexpression(cs_sold_date_sk#20 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_bill_addr_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] +(30) ColumnarToRow [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] -(32) Filter [codegen id : 9] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23] -Condition : (isnotnull(cs_bill_addr_sk#20) AND isnotnull(cs_item_sk#21)) +(31) Filter [codegen id : 8] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20] +Condition : (isnotnull(cs_bill_addr_sk#17) AND isnotnull(cs_item_sk#18)) -(33) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#24] +(32) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#21] -(34) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_sold_date_sk#23] -Right keys [1]: [d_date_sk#24] +(33) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_sold_date_sk#20] +Right keys [1]: [d_date_sk#21] Join type: Inner Join condition: None -(35) Project [codegen id : 9] -Output [3]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22] -Input [5]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, cs_sold_date_sk#23, d_date_sk#24] +(34) Project [codegen id : 8] +Output [3]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19] +Input [5]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, cs_sold_date_sk#20, d_date_sk#21] -(36) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#25] +(35) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#22] -(37) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_bill_addr_sk#20] -Right keys [1]: [ca_address_sk#25] +(36) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_bill_addr_sk#17] +Right keys [1]: [ca_address_sk#22] Join type: Inner Join condition: None -(38) Project [codegen id : 9] -Output [2]: [cs_item_sk#21, cs_ext_sales_price#22] -Input [4]: [cs_bill_addr_sk#20, cs_item_sk#21, cs_ext_sales_price#22, ca_address_sk#25] +(37) Project [codegen id : 8] +Output [2]: [cs_item_sk#18, cs_ext_sales_price#19] +Input [4]: [cs_bill_addr_sk#17, cs_item_sk#18, cs_ext_sales_price#19, ca_address_sk#22] -(39) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#26, i_item_id#27] +(38) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#23, i_item_id#24] -(40) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [cs_item_sk#21] -Right keys [1]: [i_item_sk#26] +(39) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [cs_item_sk#18] +Right keys [1]: [i_item_sk#23] Join type: Inner Join condition: None -(41) Project [codegen id : 9] -Output [2]: [cs_ext_sales_price#22, i_item_id#27] -Input [4]: [cs_item_sk#21, cs_ext_sales_price#22, i_item_sk#26, i_item_id#27] - -(42) HashAggregate [codegen id : 9] -Input [2]: [cs_ext_sales_price#22, i_item_id#27] -Keys [1]: [i_item_id#27] -Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum#28] -Results [2]: [i_item_id#27, sum#29] - -(43) CometColumnarExchange -Input [2]: [i_item_id#27, sum#29] -Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(44) CometColumnarToRow [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] - -(45) HashAggregate [codegen id : 10] -Input [2]: [i_item_id#27, sum#29] -Keys [1]: [i_item_id#27] -Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#22))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#22))#30] -Results [2]: [i_item_id#27, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#22))#30,17,2) AS total_sales#31] - -(46) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(40) Project [codegen id : 8] +Output [2]: [cs_ext_sales_price#19, i_item_id#24] +Input [4]: [cs_item_sk#18, cs_ext_sales_price#19, i_item_sk#23, i_item_id#24] + +(41) HashAggregate [codegen id : 8] +Input [2]: [cs_ext_sales_price#19, i_item_id#24] +Keys [1]: [i_item_id#24] +Functions [1]: [partial_sum(UnscaledValue(cs_ext_sales_price#19))] +Aggregate Attributes [1]: [sum#25] +Results [2]: [i_item_id#24, sum#26] + +(42) CometColumnarExchange +Input [2]: [i_item_id#24, sum#26] +Arguments: hashpartitioning(i_item_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(43) CometHashAggregate +Input [2]: [i_item_id#24, sum#26] +Keys [1]: [i_item_id#24] +Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#19))] + +(44) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#35), dynamicpruningexpression(ws_sold_date_sk#35 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#30), dynamicpruningexpression(ws_sold_date_sk#30 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_bill_addr_sk), IsNotNull(ws_item_sk)] ReadSchema: struct -(47) ColumnarToRow [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] +(45) ColumnarToRow [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] -(48) Filter [codegen id : 14] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35] -Condition : (isnotnull(ws_bill_addr_sk#33) AND isnotnull(ws_item_sk#32)) +(46) Filter [codegen id : 12] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30] +Condition : (isnotnull(ws_bill_addr_sk#28) AND isnotnull(ws_item_sk#27)) -(49) ReusedExchange [Reuses operator id: 72] -Output [1]: [d_date_sk#36] +(47) ReusedExchange [Reuses operator id: 69] +Output [1]: [d_date_sk#31] -(50) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#35] -Right keys [1]: [d_date_sk#36] +(48) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#30] +Right keys [1]: [d_date_sk#31] Join type: Inner Join condition: None -(51) Project [codegen id : 14] -Output [3]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34] -Input [5]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ws_sold_date_sk#35, d_date_sk#36] +(49) Project [codegen id : 12] +Output [3]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29] +Input [5]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ws_sold_date_sk#30, d_date_sk#31] -(52) ReusedExchange [Reuses operator id: 11] -Output [1]: [ca_address_sk#37] +(50) ReusedExchange [Reuses operator id: 11] +Output [1]: [ca_address_sk#32] -(53) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_bill_addr_sk#33] -Right keys [1]: [ca_address_sk#37] +(51) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_bill_addr_sk#28] +Right keys [1]: [ca_address_sk#32] Join type: Inner Join condition: None -(54) Project [codegen id : 14] -Output [2]: [ws_item_sk#32, ws_ext_sales_price#34] -Input [4]: [ws_item_sk#32, ws_bill_addr_sk#33, ws_ext_sales_price#34, ca_address_sk#37] +(52) Project [codegen id : 12] +Output [2]: [ws_item_sk#27, ws_ext_sales_price#29] +Input [4]: [ws_item_sk#27, ws_bill_addr_sk#28, ws_ext_sales_price#29, ca_address_sk#32] -(55) ReusedExchange [Reuses operator id: 23] -Output [2]: [i_item_sk#38, i_item_id#39] +(53) ReusedExchange [Reuses operator id: 23] +Output [2]: [i_item_sk#33, i_item_id#34] -(56) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_item_sk#32] -Right keys [1]: [i_item_sk#38] +(54) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_item_sk#27] +Right keys [1]: [i_item_sk#33] Join type: Inner Join condition: None -(57) Project [codegen id : 14] -Output [2]: [ws_ext_sales_price#34, i_item_id#39] -Input [4]: [ws_item_sk#32, ws_ext_sales_price#34, i_item_sk#38, i_item_id#39] - -(58) HashAggregate [codegen id : 14] -Input [2]: [ws_ext_sales_price#34, i_item_id#39] -Keys [1]: [i_item_id#39] -Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum#40] -Results [2]: [i_item_id#39, sum#41] - -(59) CometColumnarExchange -Input [2]: [i_item_id#39, sum#41] -Arguments: hashpartitioning(i_item_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(60) CometColumnarToRow [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] - -(61) HashAggregate [codegen id : 15] -Input [2]: [i_item_id#39, sum#41] -Keys [1]: [i_item_id#39] -Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#34))#42] -Results [2]: [i_item_id#39, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#34))#42,17,2) AS total_sales#43] - -(62) Union - -(63) HashAggregate [codegen id : 16] -Input [2]: [i_item_id#18, total_sales#19] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(total_sales#19)] -Aggregate Attributes [2]: [sum#44, isEmpty#45] -Results [3]: [i_item_id#18, sum#46, isEmpty#47] - -(64) CometColumnarExchange -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(65) CometColumnarToRow [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] - -(66) HashAggregate [codegen id : 17] -Input [3]: [i_item_id#18, sum#46, isEmpty#47] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(total_sales#19)] -Aggregate Attributes [1]: [sum(total_sales#19)#48] -Results [2]: [i_item_id#18, sum(total_sales#19)#48 AS total_sales#49] - -(67) TakeOrderedAndProject -Input [2]: [i_item_id#18, total_sales#49] -Arguments: 100, [i_item_id#18 ASC NULLS FIRST, total_sales#49 ASC NULLS FIRST], [i_item_id#18, total_sales#49] +(55) Project [codegen id : 12] +Output [2]: [ws_ext_sales_price#29, i_item_id#34] +Input [4]: [ws_item_sk#27, ws_ext_sales_price#29, i_item_sk#33, i_item_id#34] + +(56) HashAggregate [codegen id : 12] +Input [2]: [ws_ext_sales_price#29, i_item_id#34] +Keys [1]: [i_item_id#34] +Functions [1]: [partial_sum(UnscaledValue(ws_ext_sales_price#29))] +Aggregate Attributes [1]: [sum#35] +Results [2]: [i_item_id#34, sum#36] + +(57) CometColumnarExchange +Input [2]: [i_item_id#34, sum#36] +Arguments: hashpartitioning(i_item_id#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(58) CometHashAggregate +Input [2]: [i_item_id#34, sum#36] +Keys [1]: [i_item_id#34] +Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#29))] + +(59) CometUnion +Child 0 Input [2]: [i_item_id#37, total_sales#38] +Child 1 Input [2]: [i_item_id#24, total_sales#39] +Child 2 Input [2]: [i_item_id#34, total_sales#40] + +(60) CometHashAggregate +Input [2]: [i_item_id#37, total_sales#38] +Keys [1]: [i_item_id#37] +Functions [1]: [partial_sum(total_sales#38)] + +(61) CometExchange +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Arguments: hashpartitioning(i_item_id#37, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(62) CometHashAggregate +Input [3]: [i_item_id#37, sum#41, isEmpty#42] +Keys [1]: [i_item_id#37] +Functions [1]: [sum(total_sales#38)] + +(63) CometTakeOrderedAndProject +Input [2]: [i_item_id#37, total_sales#43] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#37 ASC NULLS FIRST,total_sales#43 ASC NULLS FIRST], output=[i_item_id#37,total_sales#43]), [i_item_id#37, total_sales#43], 100, 0, [i_item_id#37 ASC NULLS FIRST, total_sales#43 ASC NULLS FIRST], [i_item_id#37, total_sales#43] + +(64) CometColumnarToRow [codegen id : 13] +Input [2]: [i_item_id#37, total_sales#43] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (72) -+- * CometColumnarToRow (71) - +- CometProject (70) - +- CometFilter (69) - +- CometNativeScan parquet spark_catalog.default.date_dim (68) +BroadcastExchange (69) ++- * CometColumnarToRow (68) + +- CometProject (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.date_dim (65) -(68) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#6, d_year#50, d_moy#51] +(65) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#6, d_year#44, d_moy#45] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,9), IsNotNull(d_date_sk)] ReadSchema: struct -(69) CometFilter -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] -Condition : ((((isnotnull(d_year#50) AND isnotnull(d_moy#51)) AND (d_year#50 = 1998)) AND (d_moy#51 = 9)) AND isnotnull(d_date_sk#6)) +(66) CometFilter +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] +Condition : ((((isnotnull(d_year#44) AND isnotnull(d_moy#45)) AND (d_year#44 = 1998)) AND (d_moy#45 = 9)) AND isnotnull(d_date_sk#6)) -(70) CometProject -Input [3]: [d_date_sk#6, d_year#50, d_moy#51] +(67) CometProject +Input [3]: [d_date_sk#6, d_year#44, d_moy#45] Arguments: [d_date_sk#6], [d_date_sk#6] -(71) CometColumnarToRow [codegen id : 1] +(68) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(72) BroadcastExchange +(69) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 30 Hosting Expression = cs_sold_date_sk#23 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 29 Hosting Expression = cs_sold_date_sk#20 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 46 Hosting Expression = ws_sold_date_sk#35 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 44 Hosting Expression = ws_sold_date_sk#30 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/extended.txt index 7a2832757d..c478c765c0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/extended.txt @@ -1,115 +1,112 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 49 out of 96 eligible operators (51%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 96 eligible operators (58%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/simplified.txt index 4c05038b34..1dc7b5feca 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q60.native_datafusion/simplified.txt @@ -1,106 +1,95 @@ -TakeOrderedAndProject [i_item_id,total_sales] - WholeStageCodegen (17) - HashAggregate [i_item_id,sum,isEmpty] [sum(total_sales),total_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #1 - WholeStageCodegen (16) - HashAggregate [i_item_id,total_sales] [sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ss_ext_sales_price)),i_item_id,total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_addr_sk,ca_address_sk] - Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_addr_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [i_item_id] [i_item_sk,i_item_id] - CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] - CometFilter [i_item_sk,i_item_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - CometBroadcastExchange [i_item_id] #6 - CometProject [i_item_id] [i_item_id] - CometFilter [i_item_id,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] - WholeStageCodegen (10) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(cs_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (9) - HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Project [cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] - Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_bill_addr_sk,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (15) - HashAggregate [i_item_id,sum] [sum(UnscaledValue(ws_ext_sales_price)),total_sales,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #8 - WholeStageCodegen (14) - HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] - Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_bill_addr_sk,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - ReusedExchange [ca_address_sk] #4 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,total_sales] + CometHashAggregate [sum,isEmpty] [i_item_id,total_sales,sum(total_sales)] + CometExchange [i_item_id] #1 + CometHashAggregate [total_sales] [i_item_id,sum,isEmpty] + CometUnion [i_item_id,total_sales] + CometHashAggregate [sum] [i_item_id,total_sales,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id] #2 + WholeStageCodegen (4) + HashAggregate [i_item_id,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_addr_sk,ca_address_sk] + Project [ss_item_sk,ss_addr_sk,ss_ext_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_addr_sk,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_addr_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_item_id] [i_item_sk,i_item_id] + CometBroadcastHashJoin [i_item_sk,i_item_id,i_item_id] + CometFilter [i_item_sk,i_item_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] + CometBroadcastExchange [i_item_id] #6 + CometProject [i_item_id] [i_item_id] + CometFilter [i_item_id,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_id,i_category] + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (8) + HashAggregate [i_item_id,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Project [cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_bill_addr_sk,ca_address_sk] + Project [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_bill_addr_sk,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_bill_addr_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + CometHashAggregate [sum] [i_item_id,total_sales,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id] #8 + WholeStageCodegen (12) + HashAggregate [i_item_id,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_bill_addr_sk,ca_address_sk] + Project [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_bill_addr_sk,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_bill_addr_sk,ws_ext_sales_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [ca_address_sk] #4 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/explain.txt index 7eae15cdc2..c3466aad6b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == * Project (69) +- * BroadcastNestedLoopJoin Inner BuildRight (68) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) + :- * CometColumnarToRow (44) + : +- CometHashAggregate (43) : +- CometColumnarExchange (42) : +- * HashAggregate (41) : +- * Project (40) @@ -46,8 +46,8 @@ : +- CometFilter (35) : +- CometNativeScan parquet spark_catalog.default.item (34) +- BroadcastExchange (67) - +- * HashAggregate (66) - +- * CometColumnarToRow (65) + +- * CometColumnarToRow (66) + +- CometHashAggregate (65) +- CometColumnarExchange (64) +- * HashAggregate (63) +- * Project (62) @@ -265,119 +265,115 @@ Results [1]: [sum#22] Input [1]: [sum#22] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 15] -Input [1]: [sum#22] - -(44) HashAggregate [codegen id : 15] +(43) CometHashAggregate Input [1]: [sum#22] Keys: [] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#5))#23] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#5))#23,17,2) AS promotions#24] + +(44) CometColumnarToRow [codegen id : 15] +Input [1]: [promotions#23] (45) Scan parquet spark_catalog.default.store_sales -Output [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Output [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#29), dynamicpruningexpression(ss_sold_date_sk#29 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_customer_sk), IsNotNull(ss_item_sk)] ReadSchema: struct (46) ColumnarToRow [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] (47) Filter [codegen id : 13] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29] -Condition : ((isnotnull(ss_store_sk#27) AND isnotnull(ss_customer_sk#26)) AND isnotnull(ss_item_sk#25)) +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28] +Condition : ((isnotnull(ss_store_sk#26) AND isnotnull(ss_customer_sk#25)) AND isnotnull(ss_item_sk#24)) (48) ReusedExchange [Reuses operator id: 8] -Output [1]: [s_store_sk#30] +Output [1]: [s_store_sk#29] (49) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_store_sk#27] -Right keys [1]: [s_store_sk#30] +Left keys [1]: [ss_store_sk#26] +Right keys [1]: [s_store_sk#29] Join type: Inner Join condition: None (50) Project [codegen id : 13] -Output [4]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29] -Input [6]: [ss_item_sk#25, ss_customer_sk#26, ss_store_sk#27, ss_ext_sales_price#28, ss_sold_date_sk#29, s_store_sk#30] +Output [4]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28] +Input [6]: [ss_item_sk#24, ss_customer_sk#25, ss_store_sk#26, ss_ext_sales_price#27, ss_sold_date_sk#28, s_store_sk#29] (51) ReusedExchange [Reuses operator id: 74] -Output [1]: [d_date_sk#31] +Output [1]: [d_date_sk#30] (52) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#29] -Right keys [1]: [d_date_sk#31] +Left keys [1]: [ss_sold_date_sk#28] +Right keys [1]: [d_date_sk#30] Join type: Inner Join condition: None (53) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, ss_sold_date_sk#29, d_date_sk#31] +Output [3]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, ss_sold_date_sk#28, d_date_sk#30] (54) ReusedExchange [Reuses operator id: 24] -Output [2]: [c_customer_sk#32, c_current_addr_sk#33] +Output [2]: [c_customer_sk#31, c_current_addr_sk#32] (55) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_customer_sk#26] -Right keys [1]: [c_customer_sk#32] +Left keys [1]: [ss_customer_sk#25] +Right keys [1]: [c_customer_sk#31] Join type: Inner Join condition: None (56) Project [codegen id : 13] -Output [3]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33] -Input [5]: [ss_item_sk#25, ss_customer_sk#26, ss_ext_sales_price#28, c_customer_sk#32, c_current_addr_sk#33] +Output [3]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32] +Input [5]: [ss_item_sk#24, ss_customer_sk#25, ss_ext_sales_price#27, c_customer_sk#31, c_current_addr_sk#32] (57) ReusedExchange [Reuses operator id: 31] -Output [1]: [ca_address_sk#34] +Output [1]: [ca_address_sk#33] (58) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#34] +Left keys [1]: [c_current_addr_sk#32] +Right keys [1]: [ca_address_sk#33] Join type: Inner Join condition: None (59) Project [codegen id : 13] -Output [2]: [ss_item_sk#25, ss_ext_sales_price#28] -Input [4]: [ss_item_sk#25, ss_ext_sales_price#28, c_current_addr_sk#33, ca_address_sk#34] +Output [2]: [ss_item_sk#24, ss_ext_sales_price#27] +Input [4]: [ss_item_sk#24, ss_ext_sales_price#27, c_current_addr_sk#32, ca_address_sk#33] (60) ReusedExchange [Reuses operator id: 38] -Output [1]: [i_item_sk#35] +Output [1]: [i_item_sk#34] (61) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_item_sk#25] -Right keys [1]: [i_item_sk#35] +Left keys [1]: [ss_item_sk#24] +Right keys [1]: [i_item_sk#34] Join type: Inner Join condition: None (62) Project [codegen id : 13] -Output [1]: [ss_ext_sales_price#28] -Input [3]: [ss_item_sk#25, ss_ext_sales_price#28, i_item_sk#35] +Output [1]: [ss_ext_sales_price#27] +Input [3]: [ss_item_sk#24, ss_ext_sales_price#27, i_item_sk#34] (63) HashAggregate [codegen id : 13] -Input [1]: [ss_ext_sales_price#28] +Input [1]: [ss_ext_sales_price#27] Keys: [] -Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum#36] -Results [1]: [sum#37] +Functions [1]: [partial_sum(UnscaledValue(ss_ext_sales_price#27))] +Aggregate Attributes [1]: [sum#35] +Results [1]: [sum#36] (64) CometColumnarExchange -Input [1]: [sum#37] +Input [1]: [sum#36] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(65) CometColumnarToRow [codegen id : 14] -Input [1]: [sum#37] - -(66) HashAggregate [codegen id : 14] -Input [1]: [sum#37] +(65) CometHashAggregate +Input [1]: [sum#36] Keys: [] -Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#28))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#28))#38] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#28))#38,17,2) AS total#39] +Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#27))] + +(66) CometColumnarToRow [codegen id : 14] +Input [1]: [total#37] (67) BroadcastExchange -Input [1]: [total#39] +Input [1]: [total#37] Arguments: IdentityBroadcastMode, [plan_id=8] (68) BroadcastNestedLoopJoin [codegen id : 15] @@ -385,8 +381,8 @@ Join type: Inner Join condition: None (69) Project [codegen id : 15] -Output [3]: [promotions#24, total#39, ((cast(promotions#24 as decimal(15,4)) / cast(total#39 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#40] -Input [2]: [promotions#24, total#39] +Output [3]: [promotions#23, total#37, ((cast(promotions#23 as decimal(15,4)) / cast(total#37 as decimal(15,4))) * 100) AS ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100)#38] +Input [2]: [promotions#23, total#37] ===== Subqueries ===== @@ -399,18 +395,18 @@ BroadcastExchange (74) (70) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#14, d_year#41, d_moy#42] +Output [3]: [d_date_sk#14, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct (71) CometFilter -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_year#41) AND isnotnull(d_moy#42)) AND (d_year#41 = 1998)) AND (d_moy#42 = 11)) AND isnotnull(d_date_sk#14)) +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] +Condition : ((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 1998)) AND (d_moy#40 = 11)) AND isnotnull(d_date_sk#14)) (72) CometProject -Input [3]: [d_date_sk#14, d_year#41, d_moy#42] +Input [3]: [d_date_sk#14, d_year#39, d_moy#40] Arguments: [d_date_sk#14], [d_date_sk#14] (73) CometColumnarToRow [codegen id : 1] @@ -420,6 +416,6 @@ Input [1]: [d_date_sk#14] Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#29 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 45 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/extended.txt index 0443f5fc55..aed26a99bf 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/extended.txt @@ -1,7 +1,7 @@ Project -+- BroadcastNestedLoopJoin - :- HashAggregate - : +- CometColumnarToRow ++- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + :- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -55,8 +55,8 @@ Project : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.item +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -98,4 +98,4 @@ Project +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 83 eligible operators (43%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 38 out of 83 eligible operators (45%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/simplified.txt index f5bacac9c6..40f77cab07 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q61.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ WholeStageCodegen (15) Project [promotions,total] BroadcastNestedLoopJoin - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),promotions,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [promotions,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #1 WholeStageCodegen (7) HashAggregate [ss_ext_sales_price] [sum,sum] @@ -75,9 +75,9 @@ WholeStageCodegen (15) InputAdapter BroadcastExchange #8 WholeStageCodegen (14) - HashAggregate [sum] [sum(UnscaledValue(ss_ext_sales_price)),total,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [total,sum(UnscaledValue(ss_ext_sales_price))] CometColumnarExchange #9 WholeStageCodegen (13) HashAggregate [ss_ext_sales_price] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/explain.txt index 03bd5bf65c..d0bd47cf60 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [4]: [i_manager_id#5, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] Input [6]: [i_item_sk#1, i_manager_id#5, ss_item_sk#10, ss_store_sk#11, ss_sales_price#12, ss_sold_date_sk#13] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#15, d_moy#16] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [3]: [i_manager_id#5, d_moy#16, sum#19] Input [3]: [i_manager_id#5, d_moy#16, sum#19] Arguments: hashpartitioning(i_manager_id#5, d_moy#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [3]: [i_manager_id#5, d_moy#16, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [3]: [i_manager_id#5, d_moy#16, sum#19] Keys [2]: [i_manager_id#5, d_moy#16] Functions [1]: [sum(UnscaledValue(ss_sales_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#12))#20] -Results [3]: [i_manager_id#5, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#12))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_manager_id#5, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [i_manager_id#5, sum_sales#21, _w0#22], [i_manager_id#5 ASC NULLS FIRST] +(24) CometSort +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [i_manager_id#5, sum_sales#20, _w0#21], [i_manager_id#5 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] -(27) Window -Input [3]: [i_manager_id#5, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_manager_id#5] +(26) Window +Input [3]: [i_manager_id#5, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_manager_id#5, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_manager_id#5] -(28) Filter [codegen id : 7] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) ELSE false END +(27) Filter [codegen id : 6] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) ELSE false END -(29) Project [codegen id : 7] -Output [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Input [4]: [i_manager_id#5, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Input [4]: [i_manager_id#5, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [3]: [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#23 ASC NULLS FIRST, sum_sales#21 ASC NULLS FIRST], [i_manager_id#5, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [3]: [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [i_manager_id#5 ASC NULLS FIRST, avg_monthly_sales#22 ASC NULLS FIRST, sum_sales#20 ASC NULLS FIRST], [i_manager_id#5, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#13 IN dynamicpruning#14 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_month_seq, [1200,1201,1202,1203,1204,1205,1206,1207,1208,1209,1210,1211]), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] -Condition : (d_month_seq#24 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) +(31) CometFilter +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] +Condition : (d_month_seq#23 INSET 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211 AND isnotnull(d_date_sk#15)) -(33) CometProject -Input [3]: [d_date_sk#15, d_month_seq#24, d_moy#16] +(32) CometProject +Input [3]: [d_date_sk#15, d_month_seq#23, d_moy#16] Arguments: [d_date_sk#15, d_moy#16], [d_date_sk#15, d_moy#16] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#15, d_moy#16] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#15, d_moy#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/simplified.txt index 2933149226..3dd0af75de 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q63.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [i_manager_id,avg_monthly_sales,sum_sales] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_manager_id,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_manager_id] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_manager_id,sum_sales,_w0] - CometColumnarExchange [i_manager_id] #1 - WholeStageCodegen (5) - HashAggregate [i_manager_id,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_manager_id,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] - Project [i_manager_id,ss_sales_price,d_moy] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_item_sk,i_manager_id] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_month_seq,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + CometExchange [i_manager_id] #1 + CometHashAggregate [d_moy,sum] [i_manager_id,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_manager_id,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_manager_id,d_moy,ss_sales_price] [sum,sum] + Project [i_manager_id,ss_sales_price,d_moy] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_manager_id,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometProject [i_item_sk,i_manager_id] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_manager_id] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_month_seq,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/explain.txt index dcf67d7592..e4c9c999ca 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/explain.txt @@ -1,47 +1,43 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (24) - : +- * BroadcastHashJoin Inner BuildRight (23) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * CometColumnarToRow (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.store (1) - : : +- BroadcastExchange (15) - : : +- * Filter (14) - : : +- * HashAggregate (13) - : : +- * CometColumnarToRow (12) - : : +- CometColumnarExchange (11) - : : +- * HashAggregate (10) - : : +- * Project (9) - : : +- * BroadcastHashJoin Inner BuildRight (8) - : : :- * Filter (6) - : : : +- * ColumnarToRow (5) - : : : +- Scan parquet spark_catalog.default.store_sales (4) - : : +- ReusedExchange (7) - : +- BroadcastExchange (22) - : +- * CometColumnarToRow (21) - : +- CometProject (20) - : +- CometFilter (19) - : +- CometNativeScan parquet spark_catalog.default.item (18) - +- BroadcastExchange (40) - +- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- CometColumnarExchange (32) - +- * HashAggregate (31) - +- * Project (30) - +- * BroadcastHashJoin Inner BuildRight (29) - :- * Filter (27) - : +- * ColumnarToRow (26) - : +- Scan parquet spark_catalog.default.store_sales (25) - +- ReusedExchange (28) +* CometColumnarToRow (39) ++- CometTakeOrderedAndProject (38) + +- CometProject (37) + +- CometBroadcastHashJoin (36) + :- CometProject (21) + : +- CometBroadcastHashJoin (20) + : :- CometProject (15) + : : +- CometBroadcastHashJoin (14) + : : :- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.store (1) + : : +- CometBroadcastExchange (13) + : : +- CometFilter (12) + : : +- CometHashAggregate (11) + : : +- CometColumnarExchange (10) + : : +- * HashAggregate (9) + : : +- * Project (8) + : : +- * BroadcastHashJoin Inner BuildRight (7) + : : :- * Filter (5) + : : : +- * ColumnarToRow (4) + : : : +- Scan parquet spark_catalog.default.store_sales (3) + : : +- ReusedExchange (6) + : +- CometBroadcastExchange (19) + : +- CometProject (18) + : +- CometFilter (17) + : +- CometNativeScan parquet spark_catalog.default.item (16) + +- CometBroadcastExchange (35) + +- CometFilter (34) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- CometColumnarExchange (29) + +- * HashAggregate (28) + +- * Project (27) + +- * BroadcastHashJoin Inner BuildRight (26) + :- * Filter (24) + : +- * ColumnarToRow (23) + : +- Scan parquet spark_catalog.default.store_sales (22) + +- ReusedExchange (25) (1) CometNativeScan parquet spark_catalog.default.store @@ -55,10 +51,7 @@ ReadSchema: struct Input [2]: [s_store_sk#1, s_store_name#2] Condition : isnotnull(s_store_sk#1) -(3) CometColumnarToRow [codegen id : 9] -Input [2]: [s_store_sk#1, s_store_name#2] - -(4) Scan parquet spark_catalog.default.store_sales +(3) Scan parquet spark_catalog.default.store_sales Output [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Batched: true Location: InMemoryFileIndex [] @@ -66,221 +59,201 @@ PartitionFilters: [isnotnull(ss_sold_date_sk#6), dynamicpruningexpression(ss_sol PushedFilters: [IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(5) ColumnarToRow [codegen id : 2] +(4) ColumnarToRow [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] -(6) Filter [codegen id : 2] +(5) Filter [codegen id : 2] Input [4]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6] Condition : (isnotnull(ss_store_sk#4) AND isnotnull(ss_item_sk#3)) -(7) ReusedExchange [Reuses operator id: 48] +(6) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#8] -(8) BroadcastHashJoin [codegen id : 2] +(7) BroadcastHashJoin [codegen id : 2] Left keys [1]: [ss_sold_date_sk#6] Right keys [1]: [d_date_sk#8] Join type: Inner Join condition: None -(9) Project [codegen id : 2] +(8) Project [codegen id : 2] Output [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Input [5]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5, ss_sold_date_sk#6, d_date_sk#8] -(10) HashAggregate [codegen id : 2] +(9) HashAggregate [codegen id : 2] Input [3]: [ss_item_sk#3, ss_store_sk#4, ss_sales_price#5] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#5))] Aggregate Attributes [1]: [sum#9] Results [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] -(11) CometColumnarExchange +(10) CometColumnarExchange Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Arguments: hashpartitioning(ss_store_sk#4, ss_item_sk#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(12) CometColumnarToRow [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] - -(13) HashAggregate [codegen id : 3] +(11) CometHashAggregate Input [3]: [ss_store_sk#4, ss_item_sk#3, sum#10] Keys [2]: [ss_store_sk#4, ss_item_sk#3] Functions [1]: [sum(UnscaledValue(ss_sales_price#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#5))#11] -Results [3]: [ss_store_sk#4, ss_item_sk#3, MakeDecimal(sum(UnscaledValue(ss_sales_price#5))#11,17,2) AS revenue#12] -(14) Filter [codegen id : 3] -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Condition : isnotnull(revenue#12) +(12) CometFilter +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Condition : isnotnull(revenue#11) -(15) BroadcastExchange -Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#12] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=2] +(13) CometBroadcastExchange +Input [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [ss_store_sk#4, ss_item_sk#3, revenue#11] -(16) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [s_store_sk#1] -Right keys [1]: [ss_store_sk#4] -Join type: Inner -Join condition: None +(14) CometBroadcastHashJoin +Left output [2]: [s_store_sk#1, s_store_name#2] +Right output [3]: [ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_sk#1], [ss_store_sk#4], Inner, BuildRight -(17) Project [codegen id : 9] -Output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] -Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12] +(15) CometProject +Input [5]: [s_store_sk#1, s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Arguments: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11], [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] -(18) CometNativeScan parquet spark_catalog.default.item -Output [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] +(16) CometNativeScan parquet spark_catalog.default.item +Output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(19) CometFilter -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Condition : isnotnull(i_item_sk#13) +(17) CometFilter +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Condition : isnotnull(i_item_sk#12) -(20) CometProject -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#17] -Arguments: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18], [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_brand#17, 50)) AS i_brand#18] +(18) CometProject +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#16] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_brand#16, 50)) AS i_brand#17] -(21) CometColumnarToRow [codegen id : 4] -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(19) CometBroadcastExchange +Input [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(22) BroadcastExchange -Input [5]: [i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] +(20) CometBroadcastHashJoin +Left output [4]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11] +Right output [5]: [i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [ss_item_sk#3], [i_item_sk#12], Inner, BuildRight -(23) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_item_sk#3] -Right keys [1]: [i_item_sk#13] -Join type: Inner -Join condition: None +(21) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#11, i_item_sk#12, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(24) Project [codegen id : 9] -Output [7]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, ss_item_sk#3, revenue#12, i_item_sk#13, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18] - -(25) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#22), dynamicpruningexpression(ss_sold_date_sk#22 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#21), dynamicpruningexpression(ss_sold_date_sk#21 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_store_sk)] ReadSchema: struct -(26) ColumnarToRow [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] -(27) Filter [codegen id : 6] -Input [4]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22] -Condition : isnotnull(ss_store_sk#20) +(24) Filter [codegen id : 4] +Input [4]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21] +Condition : isnotnull(ss_store_sk#19) -(28) ReusedExchange [Reuses operator id: 48] -Output [1]: [d_date_sk#23] +(25) ReusedExchange [Reuses operator id: 44] +Output [1]: [d_date_sk#22] -(29) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#22] -Right keys [1]: [d_date_sk#23] +(26) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [ss_sold_date_sk#21] +Right keys [1]: [d_date_sk#22] Join type: Inner Join condition: None -(30) Project [codegen id : 6] -Output [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Input [5]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21, ss_sold_date_sk#22, d_date_sk#23] - -(31) HashAggregate [codegen id : 6] -Input [3]: [ss_item_sk#19, ss_store_sk#20, ss_sales_price#21] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum#24] -Results [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(32) CometColumnarExchange -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Arguments: hashpartitioning(ss_store_sk#20, ss_item_sk#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(33) CometColumnarToRow [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] - -(34) HashAggregate [codegen id : 7] -Input [3]: [ss_store_sk#20, ss_item_sk#19, sum#25] -Keys [2]: [ss_store_sk#20, ss_item_sk#19] -Functions [1]: [sum(UnscaledValue(ss_sales_price#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#21))#26] -Results [2]: [ss_store_sk#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#21))#26,17,2) AS revenue#27] - -(35) HashAggregate [codegen id : 7] -Input [2]: [ss_store_sk#20, revenue#27] -Keys [1]: [ss_store_sk#20] -Functions [1]: [partial_avg(revenue#27)] -Aggregate Attributes [2]: [sum#28, count#29] -Results [3]: [ss_store_sk#20, sum#30, count#31] - -(36) CometColumnarExchange -Input [3]: [ss_store_sk#20, sum#30, count#31] -Arguments: hashpartitioning(ss_store_sk#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(37) CometColumnarToRow [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] - -(38) HashAggregate [codegen id : 8] -Input [3]: [ss_store_sk#20, sum#30, count#31] -Keys [1]: [ss_store_sk#20] -Functions [1]: [avg(revenue#27)] -Aggregate Attributes [1]: [avg(revenue#27)#32] -Results [2]: [ss_store_sk#20, avg(revenue#27)#32 AS ave#33] - -(39) Filter [codegen id : 8] -Input [2]: [ss_store_sk#20, ave#33] -Condition : isnotnull(ave#33) - -(40) BroadcastExchange -Input [2]: [ss_store_sk#20, ave#33] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] - -(41) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [ss_store_sk#4] -Right keys [1]: [ss_store_sk#20] -Join type: Inner -Join condition: (cast(revenue#12 as decimal(23,7)) <= (0.1 * ave#33)) +(27) Project [codegen id : 4] +Output [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Input [5]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20, ss_sold_date_sk#21, d_date_sk#22] + +(28) HashAggregate [codegen id : 4] +Input [3]: [ss_item_sk#18, ss_store_sk#19, ss_sales_price#20] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#20))] +Aggregate Attributes [1]: [sum#23] +Results [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] + +(29) CometColumnarExchange +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Arguments: hashpartitioning(ss_store_sk#19, ss_item_sk#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] + +(30) CometHashAggregate +Input [3]: [ss_store_sk#19, ss_item_sk#18, sum#24] +Keys [2]: [ss_store_sk#19, ss_item_sk#18] +Functions [1]: [sum(UnscaledValue(ss_sales_price#20))] + +(31) CometHashAggregate +Input [2]: [ss_store_sk#19, revenue#25] +Keys [1]: [ss_store_sk#19] +Functions [1]: [partial_avg(revenue#25)] + +(32) CometExchange +Input [3]: [ss_store_sk#19, sum#26, count#27] +Arguments: hashpartitioning(ss_store_sk#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] + +(33) CometHashAggregate +Input [3]: [ss_store_sk#19, sum#26, count#27] +Keys [1]: [ss_store_sk#19] +Functions [1]: [avg(revenue#25)] + +(34) CometFilter +Input [2]: [ss_store_sk#19, ave#28] +Condition : isnotnull(ave#28) + +(35) CometBroadcastExchange +Input [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#19, ave#28] + +(36) CometBroadcastHashJoin +Left output [7]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Right output [2]: [ss_store_sk#19, ave#28] +Arguments: [ss_store_sk#4], [ss_store_sk#19], Inner, (cast(revenue#11 as decimal(23,7)) <= (0.1 * ave#28)), BuildRight + +(37) CometProject +Input [9]: [s_store_name#2, ss_store_sk#4, revenue#11, i_item_desc#13, i_current_price#14, i_wholesale_cost#15, i_brand#17, ss_store_sk#19, ave#28] +Arguments: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(42) Project [codegen id : 9] -Output [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Input [9]: [s_store_name#2, ss_store_sk#4, revenue#12, i_item_desc#14, i_current_price#15, i_wholesale_cost#16, i_brand#18, ss_store_sk#20, ave#33] +(38) CometTakeOrderedAndProject +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#2 ASC NULLS FIRST,i_item_desc#13 ASC NULLS FIRST], output=[s_store_name#2,i_item_desc#13,revenue#11,i_current_price#14,i_wholesale_cost#15,i_brand#17]), [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17], 100, 0, [s_store_name#2 ASC NULLS FIRST, i_item_desc#13 ASC NULLS FIRST], [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] -(43) TakeOrderedAndProject -Input [6]: [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] -Arguments: 100, [s_store_name#2 ASC NULLS FIRST, i_item_desc#14 ASC NULLS FIRST], [s_store_name#2, i_item_desc#14, revenue#12, i_current_price#15, i_wholesale_cost#16, i_brand#18] +(39) CometColumnarToRow [codegen id : 5] +Input [6]: [s_store_name#2, i_item_desc#13, revenue#11, i_current_price#14, i_wholesale_cost#15, i_brand#17] ===== Subqueries ===== -Subquery:1 Hosting operator id = 4 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (48) -+- * CometColumnarToRow (47) - +- CometProject (46) - +- CometFilter (45) - +- CometNativeScan parquet spark_catalog.default.date_dim (44) +Subquery:1 Hosting operator id = 3 Hosting Expression = ss_sold_date_sk#6 IN dynamicpruning#7 +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(44) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_month_seq#34] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_month_seq#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1176), LessThanOrEqual(d_month_seq,1187), IsNotNull(d_date_sk)] ReadSchema: struct -(45) CometFilter -Input [2]: [d_date_sk#8, d_month_seq#34] -Condition : (((isnotnull(d_month_seq#34) AND (d_month_seq#34 >= 1176)) AND (d_month_seq#34 <= 1187)) AND isnotnull(d_date_sk#8)) +(41) CometFilter +Input [2]: [d_date_sk#8, d_month_seq#29] +Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1176)) AND (d_month_seq#29 <= 1187)) AND isnotnull(d_date_sk#8)) -(46) CometProject -Input [2]: [d_date_sk#8, d_month_seq#34] +(42) CometProject +Input [2]: [d_date_sk#8, d_month_seq#29] Arguments: [d_date_sk#8], [d_date_sk#8] -(47) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(48) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] -Subquery:2 Hosting operator id = 25 Hosting Expression = ss_sold_date_sk#22 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#21 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/extended.txt index b1bae81b20..12c6a7eedd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/extended.txt @@ -1,60 +1,56 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- Filter - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometBroadcastExchange + +- CometFilter + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 17 out of 48 eligible operators (35%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 48 eligible operators (68%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/simplified.txt index 2695c9fb89..3c68fd2a34 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q65.native_datafusion/simplified.txt @@ -1,71 +1,56 @@ -TakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - WholeStageCodegen (9) - Project [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_store_sk,ss_store_sk,revenue,ave] - Project [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [s_store_name,ss_store_sk,ss_item_sk,revenue] - BroadcastHashJoin [s_store_sk,ss_store_sk] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,i_item_desc,revenue,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand,ss_store_sk,ave] + CometProject [s_store_name,ss_store_sk,revenue,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastHashJoin [s_store_name,ss_store_sk,ss_item_sk,revenue,i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometProject [s_store_name,ss_store_sk,ss_item_sk,revenue] + CometBroadcastHashJoin [s_store_sk,s_store_name,ss_store_sk,ss_item_sk,revenue] CometFilter [s_store_sk,s_store_name] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name] - InputAdapter - BroadcastExchange #1 - WholeStageCodegen (3) - Filter [revenue] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #2 - WholeStageCodegen (2) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [ss_store_sk,ss_item_sk,revenue] #1 + CometFilter [ss_store_sk,ss_item_sk,revenue] + CometHashAggregate [sum] [ss_store_sk,ss_item_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #2 + WholeStageCodegen (2) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - Filter [ave] - HashAggregate [ss_store_sk,sum,count] [avg(revenue),ave,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk] #6 - WholeStageCodegen (7) - HashAggregate [ss_store_sk,revenue] [sum,count,sum,count] - HashAggregate [ss_store_sk,ss_item_sk,sum] [sum(UnscaledValue(ss_sales_price)),revenue,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_store_sk,ss_item_sk] #7 - WholeStageCodegen (6) - HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_store_sk,ss_sales_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + CometBroadcastExchange [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] #4 + CometProject [i_brand] [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometFilter [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_desc,i_current_price,i_wholesale_cost,i_brand] + CometBroadcastExchange [ss_store_sk,ave] #5 + CometFilter [ss_store_sk,ave] + CometHashAggregate [sum,count] [ss_store_sk,ave,avg(revenue)] + CometExchange [ss_store_sk] #6 + CometHashAggregate [revenue] [ss_store_sk,sum,count] + CometHashAggregate [ss_item_sk,sum] [ss_store_sk,revenue,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_store_sk,ss_item_sk] #7 + WholeStageCodegen (4) + HashAggregate [ss_store_sk,ss_item_sk,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_store_sk,ss_sales_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/explain.txt index b4e8604910..f43ca3663f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/explain.txt @@ -1,60 +1,58 @@ == Physical Plan == -TakeOrderedAndProject (56) -+- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- Union (51) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) - +- * HashAggregate (50) - +- * CometColumnarToRow (49) - +- CometColumnarExchange (48) - +- * HashAggregate (47) - +- * Project (46) - +- * BroadcastHashJoin Inner BuildRight (45) - :- * Project (43) - : +- * BroadcastHashJoin Inner BuildRight (42) - : :- * Project (40) - : : +- * BroadcastHashJoin Inner BuildRight (39) - : : :- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * Filter (34) - : : : : +- * ColumnarToRow (33) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (35) - : : +- ReusedExchange (38) - : +- ReusedExchange (41) - +- ReusedExchange (44) +* CometColumnarToRow (54) ++- CometTakeOrderedAndProject (53) + +- CometHashAggregate (52) + +- CometExchange (51) + +- CometHashAggregate (50) + +- CometUnion (49) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.time_dim (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.ship_mode (21) + +- CometHashAggregate (48) + +- CometColumnarExchange (47) + +- * HashAggregate (46) + +- * Project (45) + +- * BroadcastHashJoin Inner BuildRight (44) + :- * Project (42) + : +- * BroadcastHashJoin Inner BuildRight (41) + : :- * Project (39) + : : +- * BroadcastHashJoin Inner BuildRight (38) + : : :- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * Filter (33) + : : : : +- * ColumnarToRow (32) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (31) + : : : +- ReusedExchange (34) + : : +- ReusedExchange (37) + : +- ReusedExchange (40) + +- ReusedExchange (43) (1) Scan parquet spark_catalog.default.web_sales @@ -104,7 +102,7 @@ Join condition: None Output [12]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] Input [14]: [ws_sold_time_sk#1, ws_ship_mode_sk#2, ws_warehouse_sk#3, ws_quantity#4, ws_ext_sales_price#5, ws_net_paid#6, ws_sold_date_sk#7, w_warehouse_sk#9, w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15] -(11) ReusedExchange [Reuses operator id: 60] +(11) ReusedExchange [Reuses operator id: 58] Output [3]: [d_date_sk#17, d_year#18, d_moy#19] (12) BroadcastHashJoin [codegen id : 5] @@ -192,158 +190,146 @@ Results [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13 Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [55]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18, sum#72, isEmpty#73, sum#74, isEmpty#75, sum#76, isEmpty#77, sum#78, isEmpty#79, sum#80, isEmpty#81, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] Keys [7]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, d_year#18] Functions [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143] -Results [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, DHL,BARIAN AS ship_carriers#144, d_year#18 AS year#145, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#120 AS jan_sales#146, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#121 AS feb_sales#147, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#122 AS mar_sales#148, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#123 AS apr_sales#149, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#124 AS may_sales#150, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#125 AS jun_sales#151, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#126 AS jul_sales#152, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#127 AS aug_sales#153, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#128 AS sep_sales#154, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#129 AS oct_sales#155, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#130 AS nov_sales#156, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_ext_sales_price#5 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#131 AS dec_sales#157, sum(CASE WHEN (d_moy#19 = 1) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#132 AS jan_net#158, sum(CASE WHEN (d_moy#19 = 2) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#133 AS feb_net#159, sum(CASE WHEN (d_moy#19 = 3) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#134 AS mar_net#160, sum(CASE WHEN (d_moy#19 = 4) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#135 AS apr_net#161, sum(CASE WHEN (d_moy#19 = 5) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#136 AS may_net#162, sum(CASE WHEN (d_moy#19 = 6) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#137 AS jun_net#163, sum(CASE WHEN (d_moy#19 = 7) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#138 AS jul_net#164, sum(CASE WHEN (d_moy#19 = 8) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#139 AS aug_net#165, sum(CASE WHEN (d_moy#19 = 9) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#140 AS sep_net#166, sum(CASE WHEN (d_moy#19 = 10) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#141 AS oct_net#167, sum(CASE WHEN (d_moy#19 = 11) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#142 AS nov_net#168, sum(CASE WHEN (d_moy#19 = 12) THEN (ws_net_paid#6 * cast(ws_quantity#4 as decimal(10,0))) ELSE 0.00 END)#143 AS dec_net#169] -(32) Scan parquet spark_catalog.default.catalog_sales -Output [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(31) Scan parquet spark_catalog.default.catalog_sales +Output [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#176), dynamicpruningexpression(cs_sold_date_sk#176 IN dynamicpruning#8)] +PartitionFilters: [isnotnull(cs_sold_date_sk#126), dynamicpruningexpression(cs_sold_date_sk#126 IN dynamicpruning#8)] PushedFilters: [IsNotNull(cs_warehouse_sk), IsNotNull(cs_sold_time_sk), IsNotNull(cs_ship_mode_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] +(32) ColumnarToRow [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] -(34) Filter [codegen id : 11] -Input [7]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176] -Condition : ((isnotnull(cs_warehouse_sk#172) AND isnotnull(cs_sold_time_sk#170)) AND isnotnull(cs_ship_mode_sk#171)) +(33) Filter [codegen id : 10] +Input [7]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126] +Condition : ((isnotnull(cs_warehouse_sk#122) AND isnotnull(cs_sold_time_sk#120)) AND isnotnull(cs_ship_mode_sk#121)) -(35) ReusedExchange [Reuses operator id: 8] -Output [7]: [w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(34) ReusedExchange [Reuses operator id: 8] +Output [7]: [w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_warehouse_sk#172] -Right keys [1]: [w_warehouse_sk#177] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_warehouse_sk#122] +Right keys [1]: [w_warehouse_sk#127] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [12]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_warehouse_sk#172, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_sk#177, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183] +(36) Project [codegen id : 10] +Output [12]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_warehouse_sk#122, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_sk#127, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133] -(38) ReusedExchange [Reuses operator id: 60] -Output [3]: [d_date_sk#184, d_year#185, d_moy#186] +(37) ReusedExchange [Reuses operator id: 58] +Output [3]: [d_date_sk#134, d_year#135, d_moy#136] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_date_sk#176] -Right keys [1]: [d_date_sk#184] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_date_sk#126] +Right keys [1]: [d_date_sk#134] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [13]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [15]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, cs_sold_date_sk#176, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_date_sk#184, d_year#185, d_moy#186] +(39) Project [codegen id : 10] +Output [13]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [15]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, cs_sold_date_sk#126, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_date_sk#134, d_year#135, d_moy#136] -(41) ReusedExchange [Reuses operator id: 18] -Output [1]: [t_time_sk#187] +(40) ReusedExchange [Reuses operator id: 18] +Output [1]: [t_time_sk#137] -(42) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_sold_time_sk#170] -Right keys [1]: [t_time_sk#187] +(41) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_sold_time_sk#120] +Right keys [1]: [t_time_sk#137] Join type: Inner Join condition: None -(43) Project [codegen id : 11] -Output [12]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [14]: [cs_sold_time_sk#170, cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, t_time_sk#187] +(42) Project [codegen id : 10] +Output [12]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [14]: [cs_sold_time_sk#120, cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, t_time_sk#137] -(44) ReusedExchange [Reuses operator id: 25] -Output [1]: [sm_ship_mode_sk#188] +(43) ReusedExchange [Reuses operator id: 25] +Output [1]: [sm_ship_mode_sk#138] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [cs_ship_mode_sk#171] -Right keys [1]: [sm_ship_mode_sk#188] +(44) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [cs_ship_mode_sk#121] +Right keys [1]: [sm_ship_mode_sk#138] Join type: Inner Join condition: None -(46) Project [codegen id : 11] -Output [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Input [13]: [cs_ship_mode_sk#171, cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186, sm_ship_mode_sk#188] - -(47) HashAggregate [codegen id : 11] -Input [11]: [cs_quantity#173, cs_sales_price#174, cs_net_paid_inc_tax#175, w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, d_moy#186] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [48]: [sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234, sum#235, isEmpty#236] -Results [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(48) CometColumnarExchange -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Arguments: hashpartitioning(w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(49) CometColumnarToRow [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] - -(50) HashAggregate [codegen id : 12] -Input [55]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185, sum#237, isEmpty#238, sum#239, isEmpty#240, sum#241, isEmpty#242, sum#243, isEmpty#244, sum#245, isEmpty#246, sum#247, isEmpty#248, sum#249, isEmpty#250, sum#251, isEmpty#252, sum#253, isEmpty#254, sum#255, isEmpty#256, sum#257, isEmpty#258, sum#259, isEmpty#260, sum#261, isEmpty#262, sum#263, isEmpty#264, sum#265, isEmpty#266, sum#267, isEmpty#268, sum#269, isEmpty#270, sum#271, isEmpty#272, sum#273, isEmpty#274, sum#275, isEmpty#276, sum#277, isEmpty#278, sum#279, isEmpty#280, sum#281, isEmpty#282, sum#283, isEmpty#284] -Keys [7]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, d_year#185] -Functions [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)] -Aggregate Attributes [24]: [sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308] -Results [32]: [w_warehouse_name#178, w_warehouse_sq_ft#179, w_city#180, w_county#181, w_state#182, w_country#183, DHL,BARIAN AS ship_carriers#309, d_year#185 AS year#310, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#285 AS jan_sales#311, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#286 AS feb_sales#312, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#287 AS mar_sales#313, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#288 AS apr_sales#314, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#289 AS may_sales#315, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#290 AS jun_sales#316, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#291 AS jul_sales#317, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#292 AS aug_sales#318, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#293 AS sep_sales#319, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#294 AS oct_sales#320, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#295 AS nov_sales#321, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_sales_price#174 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#296 AS dec_sales#322, sum(CASE WHEN (d_moy#186 = 1) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#297 AS jan_net#323, sum(CASE WHEN (d_moy#186 = 2) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#298 AS feb_net#324, sum(CASE WHEN (d_moy#186 = 3) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#299 AS mar_net#325, sum(CASE WHEN (d_moy#186 = 4) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#300 AS apr_net#326, sum(CASE WHEN (d_moy#186 = 5) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#301 AS may_net#327, sum(CASE WHEN (d_moy#186 = 6) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#302 AS jun_net#328, sum(CASE WHEN (d_moy#186 = 7) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#303 AS jul_net#329, sum(CASE WHEN (d_moy#186 = 8) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#304 AS aug_net#330, sum(CASE WHEN (d_moy#186 = 9) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#305 AS sep_net#331, sum(CASE WHEN (d_moy#186 = 10) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#306 AS oct_net#332, sum(CASE WHEN (d_moy#186 = 11) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#307 AS nov_net#333, sum(CASE WHEN (d_moy#186 = 12) THEN (cs_net_paid_inc_tax#175 * cast(cs_quantity#173 as decimal(10,0))) ELSE 0.00 END)#308 AS dec_net#334] - -(51) Union - -(52) HashAggregate [codegen id : 13] -Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#146, feb_sales#147, mar_sales#148, apr_sales#149, may_sales#150, jun_sales#151, jul_sales#152, aug_sales#153, sep_sales#154, oct_sales#155, nov_sales#156, dec_sales#157, jan_net#158, feb_net#159, mar_net#160, apr_net#161, may_net#162, jun_net#163, jul_net#164, aug_net#165, sep_net#166, oct_net#167, nov_net#168, dec_net#169] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [partial_sum(jan_sales#146), partial_sum(feb_sales#147), partial_sum(mar_sales#148), partial_sum(apr_sales#149), partial_sum(may_sales#150), partial_sum(jun_sales#151), partial_sum(jul_sales#152), partial_sum(aug_sales#153), partial_sum(sep_sales#154), partial_sum(oct_sales#155), partial_sum(nov_sales#156), partial_sum(dec_sales#157), partial_sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#158), partial_sum(feb_net#159), partial_sum(mar_net#160), partial_sum(apr_net#161), partial_sum(may_net#162), partial_sum(jun_net#163), partial_sum(jul_net#164), partial_sum(aug_net#165), partial_sum(sep_net#166), partial_sum(oct_net#167), partial_sum(nov_net#168), partial_sum(dec_net#169)] -Aggregate Attributes [72]: [sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358, sum#359, isEmpty#360, sum#361, isEmpty#362, sum#363, isEmpty#364, sum#365, isEmpty#366, sum#367, isEmpty#368, sum#369, isEmpty#370, sum#371, isEmpty#372, sum#373, isEmpty#374, sum#375, isEmpty#376, sum#377, isEmpty#378, sum#379, isEmpty#380, sum#381, isEmpty#382, sum#383, isEmpty#384, sum#385, isEmpty#386, sum#387, isEmpty#388, sum#389, isEmpty#390, sum#391, isEmpty#392, sum#393, isEmpty#394, sum#395, isEmpty#396, sum#397, isEmpty#398, sum#399, isEmpty#400, sum#401, isEmpty#402, sum#403, isEmpty#404, sum#405, isEmpty#406] -Results [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(53) CometColumnarExchange -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(54) CometColumnarToRow [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] - -(55) HashAggregate [codegen id : 14] -Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum#407, isEmpty#408, sum#409, isEmpty#410, sum#411, isEmpty#412, sum#413, isEmpty#414, sum#415, isEmpty#416, sum#417, isEmpty#418, sum#419, isEmpty#420, sum#421, isEmpty#422, sum#423, isEmpty#424, sum#425, isEmpty#426, sum#427, isEmpty#428, sum#429, isEmpty#430, sum#431, isEmpty#432, sum#433, isEmpty#434, sum#435, isEmpty#436, sum#437, isEmpty#438, sum#439, isEmpty#440, sum#441, isEmpty#442, sum#443, isEmpty#444, sum#445, isEmpty#446, sum#447, isEmpty#448, sum#449, isEmpty#450, sum#451, isEmpty#452, sum#453, isEmpty#454, sum#455, isEmpty#456, sum#457, isEmpty#458, sum#459, isEmpty#460, sum#461, isEmpty#462, sum#463, isEmpty#464, sum#465, isEmpty#466, sum#467, isEmpty#468, sum#469, isEmpty#470, sum#471, isEmpty#472, sum#473, isEmpty#474, sum#475, isEmpty#476, sum#477, isEmpty#478] -Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145] -Functions [36]: [sum(jan_sales#146), sum(feb_sales#147), sum(mar_sales#148), sum(apr_sales#149), sum(may_sales#150), sum(jun_sales#151), sum(jul_sales#152), sum(aug_sales#153), sum(sep_sales#154), sum(oct_sales#155), sum(nov_sales#156), sum(dec_sales#157), sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#158), sum(feb_net#159), sum(mar_net#160), sum(apr_net#161), sum(may_net#162), sum(jun_net#163), sum(jul_net#164), sum(aug_net#165), sum(sep_net#166), sum(oct_net#167), sum(nov_net#168), sum(dec_net#169)] -Aggregate Attributes [36]: [sum(jan_sales#146)#479, sum(feb_sales#147)#480, sum(mar_sales#148)#481, sum(apr_sales#149)#482, sum(may_sales#150)#483, sum(jun_sales#151)#484, sum(jul_sales#152)#485, sum(aug_sales#153)#486, sum(sep_sales#154)#487, sum(oct_sales#155)#488, sum(nov_sales#156)#489, sum(dec_sales#157)#490, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502, sum(jan_net#158)#503, sum(feb_net#159)#504, sum(mar_net#160)#505, sum(apr_net#161)#506, sum(may_net#162)#507, sum(jun_net#163)#508, sum(jul_net#164)#509, sum(aug_net#165)#510, sum(sep_net#166)#511, sum(oct_net#167)#512, sum(nov_net#168)#513, sum(dec_net#169)#514] -Results [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, sum(jan_sales#146)#479 AS jan_sales#515, sum(feb_sales#147)#480 AS feb_sales#516, sum(mar_sales#148)#481 AS mar_sales#517, sum(apr_sales#149)#482 AS apr_sales#518, sum(may_sales#150)#483 AS may_sales#519, sum(jun_sales#151)#484 AS jun_sales#520, sum(jul_sales#152)#485 AS jul_sales#521, sum(aug_sales#153)#486 AS aug_sales#522, sum(sep_sales#154)#487 AS sep_sales#523, sum(oct_sales#155)#488 AS oct_sales#524, sum(nov_sales#156)#489 AS nov_sales#525, sum(dec_sales#157)#490 AS dec_sales#526, sum((jan_sales#146 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#491 AS jan_sales_per_sq_foot#527, sum((feb_sales#147 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#492 AS feb_sales_per_sq_foot#528, sum((mar_sales#148 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#493 AS mar_sales_per_sq_foot#529, sum((apr_sales#149 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#494 AS apr_sales_per_sq_foot#530, sum((may_sales#150 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#495 AS may_sales_per_sq_foot#531, sum((jun_sales#151 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#496 AS jun_sales_per_sq_foot#532, sum((jul_sales#152 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#497 AS jul_sales_per_sq_foot#533, sum((aug_sales#153 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#498 AS aug_sales_per_sq_foot#534, sum((sep_sales#154 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#499 AS sep_sales_per_sq_foot#535, sum((oct_sales#155 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#500 AS oct_sales_per_sq_foot#536, sum((nov_sales#156 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#501 AS nov_sales_per_sq_foot#537, sum((dec_sales#157 / cast(w_warehouse_sq_ft#11 as decimal(10,0))))#502 AS dec_sales_per_sq_foot#538, sum(jan_net#158)#503 AS jan_net#539, sum(feb_net#159)#504 AS feb_net#540, sum(mar_net#160)#505 AS mar_net#541, sum(apr_net#161)#506 AS apr_net#542, sum(may_net#162)#507 AS may_net#543, sum(jun_net#163)#508 AS jun_net#544, sum(jul_net#164)#509 AS jul_net#545, sum(aug_net#165)#510 AS aug_net#546, sum(sep_net#166)#511 AS sep_net#547, sum(oct_net#167)#512 AS oct_net#548, sum(nov_net#168)#513 AS nov_net#549, sum(dec_net#169)#514 AS dec_net#550] - -(56) TakeOrderedAndProject -Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] -Arguments: 100, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#144, year#145, jan_sales#515, feb_sales#516, mar_sales#517, apr_sales#518, may_sales#519, jun_sales#520, jul_sales#521, aug_sales#522, sep_sales#523, oct_sales#524, nov_sales#525, dec_sales#526, jan_sales_per_sq_foot#527, feb_sales_per_sq_foot#528, mar_sales_per_sq_foot#529, apr_sales_per_sq_foot#530, may_sales_per_sq_foot#531, jun_sales_per_sq_foot#532, jul_sales_per_sq_foot#533, aug_sales_per_sq_foot#534, sep_sales_per_sq_foot#535, oct_sales_per_sq_foot#536, nov_sales_per_sq_foot#537, dec_sales_per_sq_foot#538, jan_net#539, feb_net#540, mar_net#541, apr_net#542, may_net#543, jun_net#544, jul_net#545, aug_net#546, sep_net#547, oct_net#548, nov_net#549, dec_net#550] +(45) Project [codegen id : 10] +Output [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Input [13]: [cs_ship_mode_sk#121, cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136, sm_ship_mode_sk#138] + +(46) HashAggregate [codegen id : 10] +Input [11]: [cs_quantity#123, cs_sales_price#124, cs_net_paid_inc_tax#125, w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, d_moy#136] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), partial_sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] +Aggregate Attributes [48]: [sum#139, isEmpty#140, sum#141, isEmpty#142, sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152, sum#153, isEmpty#154, sum#155, isEmpty#156, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162, sum#163, isEmpty#164, sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170, sum#171, isEmpty#172, sum#173, isEmpty#174, sum#175, isEmpty#176, sum#177, isEmpty#178, sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184, sum#185, isEmpty#186] +Results [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] + +(47) CometColumnarExchange +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Arguments: hashpartitioning(w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] + +(48) CometHashAggregate +Input [55]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135, sum#187, isEmpty#188, sum#189, isEmpty#190, sum#191, isEmpty#192, sum#193, isEmpty#194, sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200, sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206, sum#207, isEmpty#208, sum#209, isEmpty#210, sum#211, isEmpty#212, sum#213, isEmpty#214, sum#215, isEmpty#216, sum#217, isEmpty#218, sum#219, isEmpty#220, sum#221, isEmpty#222, sum#223, isEmpty#224, sum#225, isEmpty#226, sum#227, isEmpty#228, sum#229, isEmpty#230, sum#231, isEmpty#232, sum#233, isEmpty#234] +Keys [7]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, d_year#135] +Functions [24]: [sum(CASE WHEN (d_moy#136 = 1) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_sales_price#124 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 1) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 2) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 3) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 4) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 5) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 6) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 7) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 8) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 9) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 10) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 11) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END), sum(CASE WHEN (d_moy#136 = 12) THEN (cs_net_paid_inc_tax#125 * cast(cs_quantity#123 as decimal(10,0))) ELSE 0.00 END)] + +(49) CometUnion +Child 0 Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Child 1 Input [32]: [w_warehouse_name#128, w_warehouse_sq_ft#129, w_city#130, w_county#131, w_state#132, w_country#133, ship_carriers#261, year#262, jan_sales#263, feb_sales#264, mar_sales#265, apr_sales#266, may_sales#267, jun_sales#268, jul_sales#269, aug_sales#270, sep_sales#271, oct_sales#272, nov_sales#273, dec_sales#274, jan_net#275, feb_net#276, mar_net#277, apr_net#278, may_net#279, jun_net#280, jul_net#281, aug_net#282, sep_net#283, oct_net#284, nov_net#285, dec_net#286] + +(50) CometHashAggregate +Input [32]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#237, feb_sales#238, mar_sales#239, apr_sales#240, may_sales#241, jun_sales#242, jul_sales#243, aug_sales#244, sep_sales#245, oct_sales#246, nov_sales#247, dec_sales#248, jan_net#249, feb_net#250, mar_net#251, apr_net#252, may_net#253, jun_net#254, jul_net#255, aug_net#256, sep_net#257, oct_net#258, nov_net#259, dec_net#260] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [partial_sum(jan_sales#237), partial_sum(feb_sales#238), partial_sum(mar_sales#239), partial_sum(apr_sales#240), partial_sum(may_sales#241), partial_sum(jun_sales#242), partial_sum(jul_sales#243), partial_sum(aug_sales#244), partial_sum(sep_sales#245), partial_sum(oct_sales#246), partial_sum(nov_sales#247), partial_sum(dec_sales#248), partial_sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), partial_sum(jan_net#249), partial_sum(feb_net#250), partial_sum(mar_net#251), partial_sum(apr_net#252), partial_sum(may_net#253), partial_sum(jun_net#254), partial_sum(jul_net#255), partial_sum(aug_net#256), partial_sum(sep_net#257), partial_sum(oct_net#258), partial_sum(nov_net#259), partial_sum(dec_net#260)] + +(51) CometExchange +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Arguments: hashpartitioning(w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [80]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, sum#287, isEmpty#288, sum#289, isEmpty#290, sum#291, isEmpty#292, sum#293, isEmpty#294, sum#295, isEmpty#296, sum#297, isEmpty#298, sum#299, isEmpty#300, sum#301, isEmpty#302, sum#303, isEmpty#304, sum#305, isEmpty#306, sum#307, isEmpty#308, sum#309, isEmpty#310, sum#311, isEmpty#312, sum#313, isEmpty#314, sum#315, isEmpty#316, sum#317, isEmpty#318, sum#319, isEmpty#320, sum#321, isEmpty#322, sum#323, isEmpty#324, sum#325, isEmpty#326, sum#327, isEmpty#328, sum#329, isEmpty#330, sum#331, isEmpty#332, sum#333, isEmpty#334, sum#335, isEmpty#336, sum#337, isEmpty#338, sum#339, isEmpty#340, sum#341, isEmpty#342, sum#343, isEmpty#344, sum#345, isEmpty#346, sum#347, isEmpty#348, sum#349, isEmpty#350, sum#351, isEmpty#352, sum#353, isEmpty#354, sum#355, isEmpty#356, sum#357, isEmpty#358] +Keys [8]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236] +Functions [36]: [sum(jan_sales#237), sum(feb_sales#238), sum(mar_sales#239), sum(apr_sales#240), sum(may_sales#241), sum(jun_sales#242), sum(jul_sales#243), sum(aug_sales#244), sum(sep_sales#245), sum(oct_sales#246), sum(nov_sales#247), sum(dec_sales#248), sum((jan_sales#237 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((feb_sales#238 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((mar_sales#239 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((apr_sales#240 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((may_sales#241 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jun_sales#242 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((jul_sales#243 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((aug_sales#244 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((sep_sales#245 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((oct_sales#246 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((nov_sales#247 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum((dec_sales#248 / cast(w_warehouse_sq_ft#11 as decimal(10,0)))), sum(jan_net#249), sum(feb_net#250), sum(mar_net#251), sum(apr_net#252), sum(may_net#253), sum(jun_net#254), sum(jul_net#255), sum(aug_net#256), sum(sep_net#257), sum(oct_net#258), sum(nov_net#259), sum(dec_net#260)] + +(53) CometTakeOrderedAndProject +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[w_warehouse_name#10 ASC NULLS FIRST], output=[w_warehouse_name#10,w_warehouse_sq_ft#11,w_city#12,w_county#13,w_state#16,w_country#15,ship_carriers#235,year#236,jan_sales#359,feb_sales#360,mar_sales#361,apr_sales#362,may_sales#363,jun_sales#364,jul_sales#365,aug_sales#366,sep_sales#367,oct_sales#368,nov_sales#369,dec_sales#370,jan_sales_per_sq_foot#371,feb_sales_per_sq_foot#372,mar_sales_per_sq_foot#373,apr_sales_per_sq_foot#374,may_sales_per_sq_foot#375,jun_sales_per_sq_foot#376,jul_sales_per_sq_foot#377,aug_sales_per_sq_foot#378,sep_sales_per_sq_foot#379,oct_sales_per_sq_foot#380,nov_sales_per_sq_foot#381,dec_sales_per_sq_foot#382,jan_net#383,feb_net#384,mar_net#385,apr_net#386,may_net#387,jun_net#388,jul_net#389,aug_net#390,sep_net#391,oct_net#392,nov_net#393,dec_net#394]), [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394], 100, 0, [w_warehouse_name#10 ASC NULLS FIRST], [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] + +(54) CometColumnarToRow [codegen id : 11] +Input [44]: [w_warehouse_name#10, w_warehouse_sq_ft#11, w_city#12, w_county#13, w_state#16, w_country#15, ship_carriers#235, year#236, jan_sales#359, feb_sales#360, mar_sales#361, apr_sales#362, may_sales#363, jun_sales#364, jul_sales#365, aug_sales#366, sep_sales#367, oct_sales#368, nov_sales#369, dec_sales#370, jan_sales_per_sq_foot#371, feb_sales_per_sq_foot#372, mar_sales_per_sq_foot#373, apr_sales_per_sq_foot#374, may_sales_per_sq_foot#375, jun_sales_per_sq_foot#376, jul_sales_per_sq_foot#377, aug_sales_per_sq_foot#378, sep_sales_per_sq_foot#379, oct_sales_per_sq_foot#380, nov_sales_per_sq_foot#381, dec_sales_per_sq_foot#382, jan_net#383, feb_net#384, mar_net#385, apr_net#386, may_net#387, jun_net#388, jul_net#389, aug_net#390, sep_net#391, oct_net#392, nov_net#393, dec_net#394] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#7 IN dynamicpruning#8 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometFilter (58) - +- CometNativeScan parquet spark_catalog.default.date_dim (57) +BroadcastExchange (58) ++- * CometColumnarToRow (57) + +- CometFilter (56) + +- CometNativeScan parquet spark_catalog.default.date_dim (55) -(57) CometNativeScan parquet spark_catalog.default.date_dim +(55) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#17, d_year#18, d_moy#19] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(58) CometFilter +(56) CometFilter Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Condition : ((isnotnull(d_year#18) AND (d_year#18 = 2001)) AND isnotnull(d_date_sk#17)) -(59) CometColumnarToRow [codegen id : 1] +(57) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#17, d_year#18, d_moy#19] -(60) BroadcastExchange +(58) BroadcastExchange Input [3]: [d_date_sk#17, d_year#18, d_moy#19] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -Subquery:2 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#176 IN dynamicpruning#8 +Subquery:2 Hosting operator id = 31 Hosting Expression = cs_sold_date_sk#126 IN dynamicpruning#8 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/extended.txt index caf49b6d52..6da78c44b8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/extended.txt @@ -1,82 +1,80 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.time_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.ship_mode - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.warehouse - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.time_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.ship_mode +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.time_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.ship_mode + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.warehouse + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.time_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.ship_mode -Comet accelerated 27 out of 66 eligible operators (40%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 33 out of 66 eligible operators (50%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/simplified.txt index 3a1f053d60..0f165b9c3f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q66.native_datafusion/simplified.txt @@ -1,90 +1,82 @@ -TakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] - WholeStageCodegen (14) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net),jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 - WholeStageCodegen (13) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 - WholeStageCodegen (5) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] - Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_time_sk,t_time_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] - Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [t_time_sk] - CometFilter [t_time_sk,t_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [sm_ship_mode_sk] - CometFilter [sm_ship_mode_sk,sm_carrier] - CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] - WholeStageCodegen (12) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 - WholeStageCodegen (11) - HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] - Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_time_sk,t_time_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] - BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] - Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 - InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #3 - InputAdapter - ReusedExchange [t_time_sk] #5 - InputAdapter - ReusedExchange [sm_ship_mode_sk] #6 +WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_sales_per_sq_foot,feb_sales_per_sq_foot,mar_sales_per_sq_foot,apr_sales_per_sq_foot,may_sales_per_sq_foot,jun_sales_per_sq_foot,jul_sales_per_sq_foot,aug_sales_per_sq_foot,sep_sales_per_sq_foot,oct_sales_per_sq_foot,nov_sales_per_sq_foot,dec_sales_per_sq_foot,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,sum(jan_sales),sum(feb_sales),sum(mar_sales),sum(apr_sales),sum(may_sales),sum(jun_sales),sum(jul_sales),sum(aug_sales),sum(sep_sales),sum(oct_sales),sum(nov_sales),sum(dec_sales),sum((jan_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((feb_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((mar_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((apr_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((may_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jun_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((jul_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((aug_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((sep_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((oct_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((nov_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum((dec_sales / cast(w_warehouse_sq_ft as decimal(10,0)))),sum(jan_net),sum(feb_net),sum(mar_net),sum(apr_net),sum(may_net),sum(jun_net),sum(jul_net),sum(aug_net),sum(sep_net),sum(oct_net),sum(nov_net),sum(dec_net)] + CometExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year] #1 + CometHashAggregate [jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_ext_sales_price * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (ws_net_paid * cast(ws_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #2 + WholeStageCodegen (5) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,ws_ext_sales_price,ws_quantity,ws_net_paid] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_ship_mode_sk,sm_ship_mode_sk] + Project [ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_time_sk,t_time_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_time_sk,ws_ship_mode_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [ws_warehouse_sk,w_warehouse_sk] + Filter [ws_warehouse_sk,ws_sold_time_sk,ws_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_ship_mode_sk,ws_warehouse_sk,ws_quantity,ws_ext_sales_price,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [w_state] [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometFilter [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk] + CometFilter [t_time_sk,t_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_time] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [sm_ship_mode_sk] + CometFilter [sm_ship_mode_sk,sm_carrier] + CometNativeScan parquet spark_catalog.default.ship_mode [sm_ship_mode_sk,sm_carrier] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,ship_carriers,year,jan_sales,feb_sales,mar_sales,apr_sales,may_sales,jun_sales,jul_sales,aug_sales,sep_sales,oct_sales,nov_sales,dec_sales,jan_net,feb_net,mar_net,apr_net,may_net,jun_net,jul_net,aug_net,sep_net,oct_net,nov_net,dec_net,d_year,sum(CASE WHEN (d_moy = 1) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_sales_price * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 1) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 2) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 3) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 4) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 5) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 6) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 7) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 8) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 9) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 10) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 11) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END),sum(CASE WHEN (d_moy = 12) THEN (cs_net_paid_inc_tax * cast(cs_quantity as decimal(10,0))) ELSE 0.00 END)] + CometColumnarExchange [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year] #7 + WholeStageCodegen (10) + HashAggregate [w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy,cs_sales_price,cs_quantity,cs_net_paid_inc_tax] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + Project [cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_ship_mode_sk,sm_ship_mode_sk] + Project [cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_time_sk,t_time_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_time_sk,cs_ship_mode_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] + BroadcastHashJoin [cs_warehouse_sk,w_warehouse_sk] + Filter [cs_warehouse_sk,cs_sold_time_sk,cs_ship_mode_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_ship_mode_sk,cs_warehouse_sk,cs_quantity,cs_sales_price,cs_net_paid_inc_tax,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [w_warehouse_sk,w_warehouse_name,w_warehouse_sq_ft,w_city,w_county,w_state,w_country] #4 + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #3 + InputAdapter + ReusedExchange [t_time_sk] #5 + InputAdapter + ReusedExchange [sm_ship_mode_sk] #6 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/explain.txt index 1cc7d86902..05e4619e93 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/explain.txt @@ -7,9 +7,9 @@ TakeOrderedAndProject (34) +- CometSort (29) +- CometColumnarExchange (28) +- WindowGroupLimit (27) - +- * Sort (26) - +- * HashAggregate (25) - +- * CometColumnarToRow (24) + +- * CometColumnarToRow (26) + +- CometSort (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -142,50 +142,48 @@ Results [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year# Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Arguments: hashpartitioning(i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(24) CometColumnarToRow [codegen id : 5] -Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] - -(25) HashAggregate [codegen id : 5] +(24) CometHashAggregate Input [11]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31, sum#34, isEmpty#35] Keys [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, spark_grouping_id#31] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36] -Results [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#36 AS sumsales#37] -(26) Sort [codegen id : 5] -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23 ASC NULLS FIRST, sumsales#37 DESC NULLS LAST], false, 0 +(25) CometSort +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36], [i_category#23 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] + +(26) CometColumnarToRow [codegen id : 5] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] (27) WindowGroupLimit -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23], [sumsales#37 DESC NULLS LAST], rank(sumsales#37), 100, Partial +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Partial (28) CometColumnarExchange -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] Arguments: hashpartitioning(i_category#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] (29) CometSort -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37], [i_category#23 ASC NULLS FIRST, sumsales#37 DESC NULLS LAST] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36], [i_category#23 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] (30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] (31) WindowGroupLimit -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [i_category#23], [sumsales#37 DESC NULLS LAST], rank(sumsales#37), 100, Final +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [i_category#23], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Final (32) Window -Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37] -Arguments: [rank(sumsales#37) windowspecdefinition(i_category#23, sumsales#37 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#38], [i_category#23], [sumsales#37 DESC NULLS LAST] +Input [9]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36] +Arguments: [rank(sumsales#36) windowspecdefinition(i_category#23, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [i_category#23], [sumsales#36 DESC NULLS LAST] (33) Filter [codegen id : 7] -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Condition : (rk#38 <= 100) +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Condition : (rk#37 <= 100) (34) TakeOrderedAndProject -Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] -Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#37 ASC NULLS FIRST, rk#38 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#37, rk#38] +Input [10]: [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] +Arguments: 100, [i_category#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, i_product_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_qoy#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, s_store_id#30 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#37 ASC NULLS FIRST], [i_category#23, i_class#24, i_brand#25, i_product_name#26, d_year#27, d_qoy#28, d_moy#29, s_store_id#30, sumsales#36, rk#37] ===== Subqueries ===== @@ -198,18 +196,18 @@ BroadcastExchange (39) (35) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +Output [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (36) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#39) AND (d_month_seq#39 >= 1200)) AND (d_month_seq#39 <= 1211)) AND isnotnull(d_date_sk#7)) +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#38) AND (d_month_seq#38 >= 1200)) AND (d_month_seq#38 <= 1211)) AND isnotnull(d_date_sk#7)) (37) CometProject -Input [5]: [d_date_sk#7, d_month_seq#39, d_year#8, d_moy#9, d_qoy#10] +Input [5]: [d_date_sk#7, d_month_seq#38, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (38) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/extended.txt index e64576b0f0..2cc4e03fbd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/extended.txt @@ -5,10 +5,10 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometSort +- CometColumnarExchange - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -43,4 +43,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 15 out of 37 eligible operators (40%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 37 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/simplified.txt index 7c5b24a903..71c4cba3f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q67.native_datafusion/simplified.txt @@ -11,10 +11,10 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_ CometColumnarExchange [i_category] #1 WindowGroupLimit [i_category,sumsales] WholeStageCodegen (5) - Sort [i_category,sumsales] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometHashAggregate [spark_grouping_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id] #2 WholeStageCodegen (4) HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,spark_grouping_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/explain.txt index 1e2350c06a..97178d8f71 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/explain.txt @@ -1,45 +1,46 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * HashAggregate (30) - : : +- * CometColumnarToRow (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (20) - : : : +- * BroadcastHashJoin Inner BuildRight (19) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (6) - : : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : : :- * Filter (3) - : : : : : : +- * ColumnarToRow (2) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : : +- ReusedExchange (4) - : : : : +- BroadcastExchange (11) - : : : : +- * CometColumnarToRow (10) - : : : : +- CometProject (9) - : : : : +- CometFilter (8) - : : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : : +- BroadcastExchange (18) - : : : +- * CometColumnarToRow (17) - : : : +- CometProject (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometFilter (22) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) - : +- BroadcastExchange (35) - : +- * CometColumnarToRow (34) - : +- CometProject (33) - : +- CometFilter (32) - : +- CometNativeScan parquet spark_catalog.default.customer (31) - +- ReusedExchange (38) +* CometColumnarToRow (42) ++- CometTakeOrderedAndProject (41) + +- CometProject (40) + +- CometBroadcastHashJoin (39) + :- CometProject (35) + : +- CometBroadcastHashJoin (34) + : :- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (20) + : : : +- * BroadcastHashJoin Inner BuildRight (19) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (6) + : : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : : :- * Filter (3) + : : : : : : +- * ColumnarToRow (2) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : : +- ReusedExchange (4) + : : : : +- BroadcastExchange (11) + : : : : +- * CometColumnarToRow (10) + : : : : +- CometProject (9) + : : : : +- CometFilter (8) + : : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : : +- BroadcastExchange (18) + : : : +- * CometColumnarToRow (17) + : : : +- CometProject (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometFilter (22) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (21) + : +- CometBroadcastExchange (33) + : +- CometProject (32) + : +- CometFilter (31) + : +- CometNativeScan parquet spark_catalog.default.customer (30) + +- CometBroadcastExchange (38) + +- CometFilter (37) + +- CometNativeScan parquet spark_catalog.default.customer_address (36) (1) Scan parquet spark_catalog.default.store_sales @@ -57,7 +58,7 @@ Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [9]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_ext_sales_price#6, ss_ext_list_price#7, ss_ext_tax#8, ss_sold_date_sk#9] Condition : (((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_addr_sk#3)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 47] Output [1]: [d_date_sk#11] (5) BroadcastHashJoin [codegen id : 5] @@ -173,95 +174,100 @@ Results [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, su Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(29) CometColumnarToRow [codegen id : 8] -Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] - -(30) HashAggregate [codegen id : 8] +(29) CometHashAggregate Input [7]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18, sum#22, sum#23, sum#24] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, ca_city#18] Functions [3]: [sum(UnscaledValue(ss_ext_sales_price#6)), sum(UnscaledValue(ss_ext_list_price#7)), sum(UnscaledValue(ss_ext_tax#8))] -Aggregate Attributes [3]: [sum(UnscaledValue(ss_ext_sales_price#6))#25, sum(UnscaledValue(ss_ext_list_price#7))#26, sum(UnscaledValue(ss_ext_tax#8))#27] -Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ca_city#18 AS bought_city#28, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#6))#25,17,2) AS extended_price#29, MakeDecimal(sum(UnscaledValue(ss_ext_list_price#7))#26,17,2) AS list_price#30, MakeDecimal(sum(UnscaledValue(ss_ext_tax#8))#27,17,2) AS extended_tax#31] -(31) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] +(30) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(32) CometFilter -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Condition : (isnotnull(c_customer_sk#32) AND isnotnull(c_current_addr_sk#33)) +(31) CometFilter +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Condition : (isnotnull(c_customer_sk#25) AND isnotnull(c_current_addr_sk#26)) -(33) CometProject -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#34, c_last_name#35] -Arguments: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37], [c_customer_sk#32, c_current_addr_sk#33, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#34, 20)) AS c_first_name#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#35, 30)) AS c_last_name#37] +(32) CometProject +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#27, c_last_name#28] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [c_customer_sk#25, c_current_addr_sk#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#27, 20)) AS c_first_name#29, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#28, 30)) AS c_last_name#30] -(34) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(33) CometBroadcastExchange +Input [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(35) BroadcastExchange -Input [4]: [c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +(34) CometBroadcastHashJoin +Left output [6]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34] +Right output [4]: [c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_customer_sk#1], [c_customer_sk#25], Inner, BuildRight -(36) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#32] -Join type: Inner -Join condition: None +(35) CometProject +Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_customer_sk#25, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Arguments: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30], [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] -(37) Project [codegen id : 8] -Output [8]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37] -Input [10]: [ss_ticket_number#5, ss_customer_sk#1, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_customer_sk#32, c_current_addr_sk#33, c_first_name#36, c_last_name#37] +(36) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#35, ca_city#36] +Batched: true +Location [not included in comparison]/{warehouse_dir}/customer_address] +PushedFilters: [IsNotNull(ca_address_sk), IsNotNull(ca_city)] +ReadSchema: struct -(38) ReusedExchange [Reuses operator id: 24] -Output [2]: [ca_address_sk#38, ca_city#39] +(37) CometFilter +Input [2]: [ca_address_sk#35, ca_city#36] +Condition : (isnotnull(ca_address_sk#35) AND isnotnull(ca_city#36)) -(39) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [c_current_addr_sk#33] -Right keys [1]: [ca_address_sk#38] -Join type: Inner -Join condition: NOT (ca_city#39 = bought_city#28) +(38) CometBroadcastExchange +Input [2]: [ca_address_sk#35, ca_city#36] +Arguments: [ca_address_sk#35, ca_city#36] -(40) Project [codegen id : 8] -Output [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Input [10]: [ss_ticket_number#5, bought_city#28, extended_price#29, list_price#30, extended_tax#31, c_current_addr_sk#33, c_first_name#36, c_last_name#37, ca_address_sk#38, ca_city#39] +(39) CometBroadcastHashJoin +Left output [8]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30] +Right output [2]: [ca_address_sk#35, ca_city#36] +Arguments: [c_current_addr_sk#26], [ca_address_sk#35], Inner, NOT (ca_city#36 = bought_city#31), BuildRight -(41) TakeOrderedAndProject -Input [8]: [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] -Arguments: 100, [c_last_name#37 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#37, c_first_name#36, ca_city#39, bought_city#28, ss_ticket_number#5, extended_price#29, extended_tax#31, list_price#30] +(40) CometProject +Input [10]: [ss_ticket_number#5, bought_city#31, extended_price#32, list_price#33, extended_tax#34, c_current_addr_sk#26, c_first_name#29, c_last_name#30, ca_address_sk#35, ca_city#36] +Arguments: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(41) CometTakeOrderedAndProject +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#30 ASC NULLS FIRST,ss_ticket_number#5 ASC NULLS FIRST], output=[c_last_name#30,c_first_name#29,ca_city#36,bought_city#31,ss_ticket_number#5,extended_price#32,extended_tax#34,list_price#33]), [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33], 100, 0, [c_last_name#30 ASC NULLS FIRST, ss_ticket_number#5 ASC NULLS FIRST], [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] + +(42) CometColumnarToRow [codegen id : 6] +Input [8]: [c_last_name#30, c_first_name#29, ca_city#36, bought_city#31, ss_ticket_number#5, extended_price#32, extended_tax#34, list_price#33] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (47) ++- * CometColumnarToRow (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.date_dim (43) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#40, d_dom#41] +(43) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#37, d_dom#38] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] -Condition : ((((isnotnull(d_dom#41) AND (d_dom#41 >= 1)) AND (d_dom#41 <= 2)) AND d_year#40 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) +(44) CometFilter +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] +Condition : ((((isnotnull(d_dom#38) AND (d_dom#38 >= 1)) AND (d_dom#38 <= 2)) AND d_year#37 IN (1999,2000,2001)) AND isnotnull(d_date_sk#11)) -(44) CometProject -Input [3]: [d_date_sk#11, d_year#40, d_dom#41] +(45) CometProject +Input [3]: [d_date_sk#11, d_year#37, d_dom#38] Arguments: [d_date_sk#11], [d_date_sk#11] -(45) CometColumnarToRow [codegen id : 1] +(46) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(46) BroadcastExchange +(47) BroadcastExchange Input [1]: [d_date_sk#11] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/extended.txt index c122bf3803..de7dad7b58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/extended.txt @@ -1,56 +1,54 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.household_demographics - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.household_demographics + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 20 out of 45 eligible operators (44%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 28 out of 45 eligible operators (62%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/simplified.txt index 05b883b1e6..d10dfa6232 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q68.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_city,extended_price,extended_tax,list_price] - WholeStageCodegen (8) - Project [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk,ca_city,bought_city] - Project [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,sum,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax)),bought_city,extended_price,list_price,extended_tax,sum,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometProject [c_last_name,c_first_name,ca_city,bought_city,ss_ticket_number,extended_price,extended_tax,list_price] + CometBroadcastHashJoin [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name,ca_address_sk,ca_city] + CometProject [ss_ticket_number,bought_city,extended_price,list_price,extended_tax,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum,sum] [ss_ticket_number,ss_customer_sk,bought_city,extended_price,list_price,extended_tax,ca_city,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_ext_list_price)),sum(UnscaledValue(ss_ext_tax))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city] #1 WholeStageCodegen (5) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city,ss_ext_sales_price,ss_ext_list_price,ss_ext_tax] [sum,sum,sum,sum,sum,sum] @@ -55,13 +55,10 @@ TakeOrderedAndProject [c_last_name,ss_ticket_number,c_first_name,ca_city,bought_ InputAdapter CometFilter [ca_address_sk,ca_city] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] - InputAdapter - ReusedExchange [ca_address_sk,ca_city] #5 + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] #6 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_city] #7 + CometFilter [ca_address_sk,ca_city] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_city] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/explain.txt index cd1eacdb81..8704e3b3f6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -237,19 +237,17 @@ Results [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_pur Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] Arguments: hashpartitioning(cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(42) CometColumnarToRow [codegen id : 10] -Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] - -(43) HashAggregate [codegen id : 10] +(42) CometHashAggregate Input [6]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25, count#27] Keys [5]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cd_purchase_estimate#20, cd_credit_rating#25] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#28] -Results [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, count(1)#28 AS cnt1#29, cd_purchase_estimate#20, count(1)#28 AS cnt2#30, cd_credit_rating#25, count(1)#28 AS cnt3#31] -(44) TakeOrderedAndProject -Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#29, cd_purchase_estimate#20, cnt2#30, cd_credit_rating#25, cnt3#31] -Arguments: 100, [cd_gender#22 ASC NULLS FIRST, cd_marital_status#23 ASC NULLS FIRST, cd_education_status#24 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#25 ASC NULLS FIRST], [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#29, cd_purchase_estimate#20, cnt2#30, cd_credit_rating#25, cnt3#31] +(43) CometTakeOrderedAndProject +Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#22 ASC NULLS FIRST,cd_marital_status#23 ASC NULLS FIRST,cd_education_status#24 ASC NULLS FIRST,cd_purchase_estimate#20 ASC NULLS FIRST,cd_credit_rating#25 ASC NULLS FIRST], output=[cd_gender#22,cd_marital_status#23,cd_education_status#24,cnt1#28,cd_purchase_estimate#20,cnt2#29,cd_credit_rating#25,cnt3#30]), [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30], 100, 0, [cd_gender#22 ASC NULLS FIRST, cd_marital_status#23 ASC NULLS FIRST, cd_education_status#24 ASC NULLS FIRST, cd_purchase_estimate#20 ASC NULLS FIRST, cd_credit_rating#25 ASC NULLS FIRST], [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] + +(44) CometColumnarToRow [codegen id : 10] +Input [8]: [cd_gender#22, cd_marital_status#23, cd_education_status#24, cnt1#28, cd_purchase_estimate#20, cnt2#29, cd_credit_rating#25, cnt3#30] ===== Subqueries ===== @@ -262,18 +260,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#32, d_moy#33] +Output [3]: [d_date_sk#7, d_year#31, d_moy#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,6), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#7, d_year#32, d_moy#33] -Condition : (((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 2001)) AND (d_moy#33 >= 4)) AND (d_moy#33 <= 6)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#31, d_moy#32] +Condition : (((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 2001)) AND (d_moy#32 >= 4)) AND (d_moy#32 <= 6)) AND isnotnull(d_date_sk#7)) (47) CometProject -Input [3]: [d_date_sk#7, d_year#32, d_moy#33] +Input [3]: [d_date_sk#7, d_year#31, d_moy#32] Arguments: [d_date_sk#7], [d_date_sk#7] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/extended.txt index 821b101f54..67e35cb533 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -63,4 +63,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 53 eligible operators (39%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 53 eligible operators (43%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/simplified.txt index f8868e38be..43cee0de33 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/explain.txt index 96075ed3ec..dedc8d09a4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_pur Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#32] -Results [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#24, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] -Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#26 ASC NULLS FIRST,cd_marital_status#27 ASC NULLS FIRST,cd_education_status#28 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#29 ASC NULLS FIRST], output=[cd_gender#26,cd_marital_status#27,cd_education_status#28,cnt1#32,cd_purchase_estimate#24,cnt2#33,cd_credit_rating#29,cnt3#34]), [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34], 100, 0, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/explain.txt index 96075ed3ec..dedc8d09a4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (46) -+- * HashAggregate (45) - +- * CometColumnarToRow (44) +* CometColumnarToRow (46) ++- CometTakeOrderedAndProject (45) + +- CometHashAggregate (44) +- CometColumnarExchange (43) +- * HashAggregate (42) +- * Project (41) @@ -248,19 +248,17 @@ Results [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_pur Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Arguments: hashpartitioning(cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) CometColumnarToRow [codegen id : 6] -Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] - -(45) HashAggregate [codegen id : 6] +(44) CometHashAggregate Input [6]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29, count#31] Keys [5]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cd_purchase_estimate#24, cd_credit_rating#29] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#32] -Results [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, count(1)#32 AS cnt1#33, cd_purchase_estimate#24, count(1)#32 AS cnt2#34, cd_credit_rating#29, count(1)#32 AS cnt3#35] -(46) TakeOrderedAndProject -Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] -Arguments: 100, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#33, cd_purchase_estimate#24, cnt2#34, cd_credit_rating#29, cnt3#35] +(45) CometTakeOrderedAndProject +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#26 ASC NULLS FIRST,cd_marital_status#27 ASC NULLS FIRST,cd_education_status#28 ASC NULLS FIRST,cd_purchase_estimate#24 ASC NULLS FIRST,cd_credit_rating#29 ASC NULLS FIRST], output=[cd_gender#26,cd_marital_status#27,cd_education_status#28,cnt1#32,cd_purchase_estimate#24,cnt2#33,cd_credit_rating#29,cnt3#34]), [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34], 100, 0, [cd_gender#26 ASC NULLS FIRST, cd_marital_status#27 ASC NULLS FIRST, cd_education_status#28 ASC NULLS FIRST, cd_purchase_estimate#24 ASC NULLS FIRST, cd_credit_rating#29 ASC NULLS FIRST], [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] + +(46) CometColumnarToRow [codegen id : 6] +Input [8]: [cd_gender#26, cd_marital_status#27, cd_education_status#28, cnt1#32, cd_purchase_estimate#24, cnt2#33, cd_credit_rating#29, cnt3#34] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/extended.txt index b4fbb455ef..14208708ab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -59,4 +59,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 53 eligible operators (69%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/simplified.txt index 68bf32c40b..50a010955e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q69/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cnt1,cnt2,cnt3] - WholeStageCodegen (6) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,count] [count(1),cnt1,cnt2,cnt3,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] #1 WholeStageCodegen (5) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/explain.txt index 627eb9e23d..343fe0167d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * HashAggregate (31) - +- * CometColumnarToRow (30) +* CometColumnarToRow (32) ++- CometTakeOrderedAndProject (31) + +- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -168,19 +168,17 @@ Results [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34 Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Arguments: hashpartitioning(i_item_id#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [9]: [i_item_id#17, sum#29, count#30, sum#31, count#32, sum#33, count#34, sum#35, count#36] Keys [1]: [i_item_id#17] Functions [4]: [avg(ss_quantity#4), avg(UnscaledValue(ss_list_price#5)), avg(UnscaledValue(ss_coupon_amt#7)), avg(UnscaledValue(ss_sales_price#6))] -Aggregate Attributes [4]: [avg(ss_quantity#4)#37, avg(UnscaledValue(ss_list_price#5))#38, avg(UnscaledValue(ss_coupon_amt#7))#39, avg(UnscaledValue(ss_sales_price#6))#40] -Results [5]: [i_item_id#17, avg(ss_quantity#4)#37 AS agg1#41, cast((avg(UnscaledValue(ss_list_price#5))#38 / 100.0) as decimal(11,6)) AS agg2#42, cast((avg(UnscaledValue(ss_coupon_amt#7))#39 / 100.0) as decimal(11,6)) AS agg3#43, cast((avg(UnscaledValue(ss_sales_price#6))#40 / 100.0) as decimal(11,6)) AS agg4#44] -(32) TakeOrderedAndProject -Input [5]: [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] -Arguments: 100, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#41, agg2#42, agg3#43, agg4#44] +(31) CometTakeOrderedAndProject +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#17 ASC NULLS FIRST], output=[i_item_id#17,agg1#37,agg2#38,agg3#39,agg4#40]), [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40], 100, 0, [i_item_id#17 ASC NULLS FIRST], [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] + +(32) CometColumnarToRow [codegen id : 6] +Input [5]: [i_item_id#17, agg1#37, agg2#38, agg3#39, agg4#40] ===== Subqueries ===== @@ -193,18 +191,18 @@ BroadcastExchange (37) (33) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#45] +Output [2]: [d_date_sk#14, d_year#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (34) CometFilter -Input [2]: [d_date_sk#14, d_year#45] -Condition : ((isnotnull(d_year#45) AND (d_year#45 = 2000)) AND isnotnull(d_date_sk#14)) +Input [2]: [d_date_sk#14, d_year#41] +Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2000)) AND isnotnull(d_date_sk#14)) (35) CometProject -Input [2]: [d_date_sk#14, d_year#45] +Input [2]: [d_date_sk#14, d_year#41] Arguments: [d_date_sk#14], [d_date_sk#14] (36) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/extended.txt index f40fdbe4e3..7344a874f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -41,4 +41,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.promotion -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 18 out of 35 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/simplified.txt index bb670b4a73..5d0ad36f9d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q7.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] - WholeStageCodegen (6) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price)),agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,agg1,agg2,agg3,agg4,avg(ss_quantity),avg(UnscaledValue(ss_list_price)),avg(UnscaledValue(ss_coupon_amt)),avg(UnscaledValue(ss_sales_price))] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (5) HashAggregate [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/explain.txt index 071f670c73..9233c5ca49 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/explain.txt @@ -1,52 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometColumnarExchange (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Expand (38) - +- * Project (37) - +- * BroadcastHashJoin Inner BuildRight (36) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (35) - +- * Project (34) - +- * BroadcastHashJoin LeftSemi BuildRight (33) - :- * CometColumnarToRow (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.store (7) - +- BroadcastExchange (32) - +- * Project (31) - +- * Filter (30) - +- Window (29) - +- WindowGroupLimit (28) - +- * Sort (27) - +- * HashAggregate (26) - +- * CometColumnarToRow (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * Project (22) - +- * BroadcastHashJoin Inner BuildRight (21) - :- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Filter (12) - : : +- * ColumnarToRow (11) - : : +- Scan parquet spark_catalog.default.store_sales (10) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometProject (15) - : +- CometFilter (14) - : +- CometNativeScan parquet spark_catalog.default.store (13) - +- ReusedExchange (20) +TakeOrderedAndProject (47) ++- * Project (46) + +- Window (45) + +- * CometColumnarToRow (44) + +- CometSort (43) + +- CometExchange (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Expand (38) + +- * Project (37) + +- * BroadcastHashJoin Inner BuildRight (36) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (35) + +- * Project (34) + +- * BroadcastHashJoin LeftSemi BuildRight (33) + :- * CometColumnarToRow (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.store (7) + +- BroadcastExchange (32) + +- * Project (31) + +- * Filter (30) + +- Window (29) + +- WindowGroupLimit (28) + +- * CometColumnarToRow (27) + +- CometSort (26) + +- CometHashAggregate (25) + +- CometColumnarExchange (24) + +- * HashAggregate (23) + +- * Project (22) + +- * BroadcastHashJoin Inner BuildRight (21) + :- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Filter (12) + : : +- * ColumnarToRow (11) + : : +- Scan parquet spark_catalog.default.store_sales (10) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometProject (15) + : +- CometFilter (14) + : +- CometNativeScan parquet spark_catalog.default.store (13) + +- ReusedExchange (20) (1) Scan parquet spark_catalog.default.store_sales @@ -64,7 +63,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 53] +(4) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -138,7 +137,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14] -(20) ReusedExchange [Reuses operator id: 53] +(20) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#15] (21) BroadcastHashJoin [codegen id : 4] @@ -162,35 +161,33 @@ Results [2]: [s_state#14, sum#17] Input [2]: [s_state#14, sum#17] Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#14, sum#17] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#14, sum#17] Keys [1]: [s_state#14] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18] -Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14] -(27) Sort [codegen id : 5] -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14, _w0#18, s_state#14], [s_state#14 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#14, _w0#18, s_state#14] (28) WindowGroupLimit -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14], [_w0#19 DESC NULLS LAST], rank(_w0#19), 5, Final +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14], [_w0#18 DESC NULLS LAST], rank(_w0#18), 5, Final (29) Window -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST] +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [rank(_w0#18) windowspecdefinition(s_state#14, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#14], [_w0#18 DESC NULLS LAST] (30) Filter [codegen id : 6] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] -Condition : (ranking#20 <= 5) +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] +Condition : (ranking#19 <= 5) (31) Project [codegen id : 6] Output [1]: [s_state#14] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] (32) BroadcastExchange Input [1]: [s_state#14] @@ -203,11 +200,11 @@ Join type: LeftSemi Join condition: None (34) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2)) AS s_state#21] +Output [3]: [s_store_sk#6, s_county#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2)) AS s_state#20] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (35) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#21] +Input [3]: [s_store_sk#6, s_county#7, s_state#20] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (36) BroadcastHashJoin [codegen id : 8] @@ -217,86 +214,81 @@ Join type: Inner Join condition: None (37) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_state#21, s_county#7] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21] +Output [3]: [ss_net_profit#2, s_state#20, s_county#7] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#20] (38) Expand [codegen id : 8] -Input [3]: [ss_net_profit#2, s_state#21, s_county#7] -Arguments: [[ss_net_profit#2, s_state#21, s_county#7, 0], [ss_net_profit#2, s_state#21, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#22, s_county#23, spark_grouping_id#24] +Input [3]: [ss_net_profit#2, s_state#20, s_county#7] +Arguments: [[ss_net_profit#2, s_state#20, s_county#7, 0], [ss_net_profit#2, s_state#20, null, 1], [ss_net_profit#2, null, null, 3]], [ss_net_profit#2, s_state#21, s_county#22, spark_grouping_id#23] (39) HashAggregate [codegen id : 8] -Input [4]: [ss_net_profit#2, s_state#22, s_county#23, spark_grouping_id#24] -Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] +Input [4]: [ss_net_profit#2, s_state#21, s_county#22, spark_grouping_id#23] +Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#25] -Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] +Aggregate Attributes [1]: [sum#24] +Results [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] (40) CometColumnarExchange -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] -Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(41) CometColumnarToRow [codegen id : 9] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] +Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] +Arguments: hashpartitioning(s_state#21, s_county#22, spark_grouping_id#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(42) HashAggregate [codegen id : 9] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] -Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] +(41) CometHashAggregate +Input [4]: [s_state#21, s_county#22, spark_grouping_id#23, sum#25] +Keys [3]: [s_state#21, s_county#22, spark_grouping_id#23] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(43) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(42) CometExchange +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: hashpartitioning(_w1#29, _w2#30, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(44) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(43) CometSort +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30], [_w1#29 ASC NULLS FIRST, _w2#30 ASC NULLS FIRST, _w0#28 DESC NULLS LAST] -(45) CometColumnarToRow [codegen id : 10] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(44) CometColumnarToRow [codegen id : 9] +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] -(46) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(45) Window +Input [7]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30] +Arguments: [rank(_w0#28) windowspecdefinition(_w1#29, _w2#30, _w0#28 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#31], [_w1#29, _w2#30], [_w0#28 DESC NULLS LAST] -(47) Project [codegen id : 11] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(46) Project [codegen id : 10] +Output [5]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] +Input [8]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, _w0#28, _w1#29, _w2#30, rank_within_parent#31] -(48) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(47) TakeOrderedAndProject +Input [5]: [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] +Arguments: 100, [lochierarchy#27 DESC NULLS LAST, CASE WHEN (lochierarchy#27 = 0) THEN s_state#21 END ASC NULLS FIRST, rank_within_parent#31 ASC NULLS FIRST], [total_sum#26, s_state#21, s_county#22, lochierarchy#27, rank_within_parent#31] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometNativeScan parquet spark_catalog.default.date_dim (49) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometNativeScan parquet spark_catalog.default.date_dim (48) -(49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#34] +(48) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#34] -Condition : (((isnotnull(d_month_seq#34) AND (d_month_seq#34 >= 1200)) AND (d_month_seq#34 <= 1211)) AND isnotnull(d_date_sk#5)) +(49) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#32] +Condition : (((isnotnull(d_month_seq#32) AND (d_month_seq#32 >= 1200)) AND (d_month_seq#32 <= 1211)) AND isnotnull(d_date_sk#5)) -(51) CometProject -Input [2]: [d_date_sk#5, d_month_seq#34] +(50) CometProject +Input [2]: [d_date_sk#5, d_month_seq#32] Arguments: [d_date_sk#5], [d_date_sk#5] -(52) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(53) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/extended.txt index 4832534e6e..be842d629a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/extended.txt @@ -3,63 +3,62 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 18 out of 53 eligible operators (33%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 53 eligible operators (39%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/simplified.txt index f61238590a..4f132afeb6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_datafusion/simplified.txt @@ -1,80 +1,77 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (11) + WholeStageCodegen (10) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (10) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (9) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #6 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #3 + BroadcastExchange #5 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #6 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/explain.txt index 44f6ce791c..bba95ffeb2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/explain.txt @@ -1,53 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (49) -+- * Project (48) - +- Window (47) - +- * CometColumnarToRow (46) - +- CometSort (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * CometColumnarToRow (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- * Expand (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (36) - +- * Project (35) - +- * BroadcastHashJoin LeftSemi BuildRight (34) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (33) - +- * Project (32) - +- * Filter (31) - +- Window (30) - +- WindowGroupLimit (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (48) ++- * Project (47) + +- Window (46) + +- * CometColumnarToRow (45) + +- CometSort (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometColumnarExchange (41) + +- * HashAggregate (40) + +- * Expand (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (36) + +- * Project (35) + +- * BroadcastHashJoin LeftSemi BuildRight (34) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (33) + +- * Project (32) + +- * Filter (31) + +- Window (30) + +- WindowGroupLimit (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -239,68 +238,63 @@ Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(42) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(44) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(43) CometExchange +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: hashpartitioning(_w1#30, _w2#31, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(45) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(44) CometSort +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31], [_w1#30 ASC NULLS FIRST, _w2#31 ASC NULLS FIRST, _w0#29 DESC NULLS LAST] -(46) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(45) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] -(47) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(46) Window +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [rank(_w0#29) windowspecdefinition(_w1#30, _w2#31, _w0#29 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#32], [_w1#30, _w2#31], [_w0#29 DESC NULLS LAST] -(48) Project [codegen id : 7] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(47) Project [codegen id : 6] +Output [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Input [8]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31, rank_within_parent#32] -(49) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(48) TakeOrderedAndProject +Input [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Arguments: 100, [lochierarchy#28 DESC NULLS LAST, CASE WHEN (lochierarchy#28 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#32 ASC NULLS FIRST], [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (54) -+- * CometColumnarToRow (53) - +- CometProject (52) - +- CometFilter (51) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (50) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometProject (51) + +- CometFilter (50) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) -(50) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(51) CometFilter +(50) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(52) CometProject +(51) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(53) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(54) BroadcastExchange +(53) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/extended.txt index 45a2c7a669..da26f66d1f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/extended.txt @@ -3,59 +3,58 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 53 eligible operators (64%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/simplified.txt index 80f0cfc8c2..9471f61da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70.native_iceberg_compat/simplified.txt @@ -1,74 +1,71 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/explain.txt index 44f6ce791c..bba95ffeb2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/explain.txt @@ -1,53 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (49) -+- * Project (48) - +- Window (47) - +- * CometColumnarToRow (46) - +- CometSort (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * CometColumnarToRow (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- * Expand (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (9) - : +- CometProject (8) - : +- CometBroadcastHashJoin (7) - : :- CometFilter (2) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : +- CometBroadcastExchange (6) - : +- CometProject (5) - : +- CometFilter (4) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - +- BroadcastExchange (36) - +- * Project (35) - +- * BroadcastHashJoin LeftSemi BuildRight (34) - :- * CometColumnarToRow (12) - : +- CometFilter (11) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - +- BroadcastExchange (33) - +- * Project (32) - +- * Filter (31) - +- Window (30) - +- WindowGroupLimit (29) - +- * CometColumnarToRow (28) - +- CometSort (27) - +- CometHashAggregate (26) - +- CometExchange (25) - +- CometHashAggregate (24) - +- CometProject (23) - +- CometBroadcastHashJoin (22) - :- CometProject (20) - : +- CometBroadcastHashJoin (19) - : :- CometFilter (14) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : +- CometBroadcastExchange (18) - : +- CometProject (17) - : +- CometFilter (16) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - +- ReusedExchange (21) +TakeOrderedAndProject (48) ++- * Project (47) + +- Window (46) + +- * CometColumnarToRow (45) + +- CometSort (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometColumnarExchange (41) + +- * HashAggregate (40) + +- * Expand (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (9) + : +- CometProject (8) + : +- CometBroadcastHashJoin (7) + : :- CometFilter (2) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : +- CometBroadcastExchange (6) + : +- CometProject (5) + : +- CometFilter (4) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + +- BroadcastExchange (36) + +- * Project (35) + +- * BroadcastHashJoin LeftSemi BuildRight (34) + :- * CometColumnarToRow (12) + : +- CometFilter (11) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + +- BroadcastExchange (33) + +- * Project (32) + +- * Filter (31) + +- Window (30) + +- WindowGroupLimit (29) + +- * CometColumnarToRow (28) + +- CometSort (27) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometProject (23) + +- CometBroadcastHashJoin (22) + :- CometProject (20) + : +- CometBroadcastHashJoin (19) + : :- CometFilter (14) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : +- CometBroadcastExchange (18) + : +- CometProject (17) + : +- CometFilter (16) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + +- ReusedExchange (21) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -239,68 +238,63 @@ Results [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Arguments: hashpartitioning(s_state#22, s_county#23, spark_grouping_id#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(42) CometColumnarToRow [codegen id : 5] -Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [4]: [s_state#22, s_county#23, spark_grouping_id#24, sum#26] Keys [3]: [s_state#22, s_county#23, spark_grouping_id#24] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#27] -Results [7]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS total_sum#28, s_state#22, s_county#23, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS lochierarchy#29, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#27,17,2) AS _w0#30, (cast((shiftright(spark_grouping_id#24, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint)) AS _w1#31, CASE WHEN (cast((shiftright(spark_grouping_id#24, 0) & 1) as tinyint) = 0) THEN s_state#22 END AS _w2#32] -(44) CometColumnarExchange -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: hashpartitioning(_w1#31, _w2#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(43) CometExchange +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: hashpartitioning(_w1#30, _w2#31, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(45) CometSort -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32], [_w1#31 ASC NULLS FIRST, _w2#32 ASC NULLS FIRST, _w0#30 DESC NULLS LAST] +(44) CometSort +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31], [_w1#30 ASC NULLS FIRST, _w2#31 ASC NULLS FIRST, _w0#29 DESC NULLS LAST] -(46) CometColumnarToRow [codegen id : 6] -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] +(45) CometColumnarToRow [codegen id : 5] +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] -(47) Window -Input [7]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32] -Arguments: [rank(_w0#30) windowspecdefinition(_w1#31, _w2#32, _w0#30 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#33], [_w1#31, _w2#32], [_w0#30 DESC NULLS LAST] +(46) Window +Input [7]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31] +Arguments: [rank(_w0#29) windowspecdefinition(_w1#30, _w2#31, _w0#29 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#32], [_w1#30, _w2#31], [_w0#29 DESC NULLS LAST] -(48) Project [codegen id : 7] -Output [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Input [8]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, _w0#30, _w1#31, _w2#32, rank_within_parent#33] +(47) Project [codegen id : 6] +Output [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Input [8]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, _w0#29, _w1#30, _w2#31, rank_within_parent#32] -(49) TakeOrderedAndProject -Input [5]: [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] -Arguments: 100, [lochierarchy#29 DESC NULLS LAST, CASE WHEN (lochierarchy#29 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#33 ASC NULLS FIRST], [total_sum#28, s_state#22, s_county#23, lochierarchy#29, rank_within_parent#33] +(48) TakeOrderedAndProject +Input [5]: [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] +Arguments: 100, [lochierarchy#28 DESC NULLS LAST, CASE WHEN (lochierarchy#28 = 0) THEN s_state#22 END ASC NULLS FIRST, rank_within_parent#32 ASC NULLS FIRST], [total_sum#27, s_state#22, s_county#23, lochierarchy#28, rank_within_parent#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (54) -+- * CometColumnarToRow (53) - +- CometProject (52) - +- CometFilter (51) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (50) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometProject (51) + +- CometFilter (50) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (49) -(50) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(49) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(51) CometFilter +(50) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1200)) AND (d_month_seq#6 <= 1211)) AND isnotnull(d_date_sk#5)) -(52) CometProject +(51) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(53) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(54) BroadcastExchange +(53) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/extended.txt index 45a2c7a669..da26f66d1f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/extended.txt @@ -3,59 +3,58 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 34 out of 53 eligible operators (64%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 35 out of 53 eligible operators (66%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/simplified.txt index 80f0cfc8c2..9471f61da0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q70/simplified.txt @@ -1,74 +1,71 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (5) - HashAggregate [s_state,s_county,spark_grouping_id,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] - Expand [ss_net_profit,s_state,s_county] - Project [ss_net_profit,s_state,s_county] - BroadcastHashJoin [ss_store_sk,s_store_sk] - CometColumnarToRow - InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #4 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] - InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #7 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #8 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #4 + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,s_state,s_county,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ss_net_profit)),spark_grouping_id] + CometColumnarExchange [s_state,s_county,spark_grouping_id] #2 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,spark_grouping_id,ss_net_profit] [sum,sum] + Expand [ss_net_profit,s_state,s_county] + Project [ss_net_profit,s_state,s_county] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #4 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] + InputAdapter + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #7 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #8 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/explain.txt index d0c100dc27..a13460e918 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/explain.txt @@ -1,44 +1,43 @@ == Physical Plan == -* CometColumnarToRow (40) -+- CometSort (39) - +- CometColumnarExchange (38) - +- * HashAggregate (37) - +- * CometColumnarToRow (36) - +- CometColumnarExchange (35) - +- * HashAggregate (34) - +- * Project (33) - +- * BroadcastHashJoin Inner BuildRight (32) - :- * Project (26) - : +- * BroadcastHashJoin Inner BuildLeft (25) - : :- BroadcastExchange (5) - : : +- * CometColumnarToRow (4) - : : +- CometProject (3) - : : +- CometFilter (2) - : : +- CometNativeScan parquet spark_catalog.default.item (1) - : +- Union (24) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildRight (10) - : : :- * Filter (8) - : : : +- * ColumnarToRow (7) - : : : +- Scan parquet spark_catalog.default.web_sales (6) - : : +- ReusedExchange (9) - : :- * Project (17) - : : +- * BroadcastHashJoin Inner BuildRight (16) - : : :- * Filter (14) - : : : +- * ColumnarToRow (13) - : : : +- Scan parquet spark_catalog.default.catalog_sales (12) - : : +- ReusedExchange (15) - : +- * Project (23) - : +- * BroadcastHashJoin Inner BuildRight (22) - : :- * Filter (20) - : : +- * ColumnarToRow (19) - : : +- Scan parquet spark_catalog.default.store_sales (18) - : +- ReusedExchange (21) - +- BroadcastExchange (31) - +- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.time_dim (27) +* CometColumnarToRow (39) ++- CometSort (38) + +- CometExchange (37) + +- CometHashAggregate (36) + +- CometColumnarExchange (35) + +- * HashAggregate (34) + +- * Project (33) + +- * BroadcastHashJoin Inner BuildRight (32) + :- * Project (26) + : +- * BroadcastHashJoin Inner BuildLeft (25) + : :- BroadcastExchange (5) + : : +- * CometColumnarToRow (4) + : : +- CometProject (3) + : : +- CometFilter (2) + : : +- CometNativeScan parquet spark_catalog.default.item (1) + : +- Union (24) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildRight (10) + : : :- * Filter (8) + : : : +- * ColumnarToRow (7) + : : : +- Scan parquet spark_catalog.default.web_sales (6) + : : +- ReusedExchange (9) + : :- * Project (17) + : : +- * BroadcastHashJoin Inner BuildRight (16) + : : :- * Filter (14) + : : : +- * ColumnarToRow (13) + : : : +- Scan parquet spark_catalog.default.catalog_sales (12) + : : +- ReusedExchange (15) + : +- * Project (23) + : +- * BroadcastHashJoin Inner BuildRight (22) + : :- * Filter (20) + : : +- * ColumnarToRow (19) + : : +- Scan parquet spark_catalog.default.store_sales (18) + : +- ReusedExchange (21) + +- BroadcastExchange (31) + +- * CometColumnarToRow (30) + +- CometProject (29) + +- CometFilter (28) + +- CometNativeScan parquet spark_catalog.default.time_dim (27) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_ Input [4]: [ws_sold_time_sk#6, ws_item_sk#7, ws_ext_sales_price#8, ws_sold_date_sk#9] Condition : (isnotnull(ws_item_sk#7) AND isnotnull(ws_sold_time_sk#6)) -(9) ReusedExchange [Reuses operator id: 45] +(9) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#11] (10) BroadcastHashJoin [codegen id : 3] @@ -106,7 +105,7 @@ Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_da Input [4]: [cs_sold_time_sk#15, cs_item_sk#16, cs_ext_sales_price#17, cs_sold_date_sk#18] Condition : (isnotnull(cs_item_sk#16) AND isnotnull(cs_sold_time_sk#15)) -(15) ReusedExchange [Reuses operator id: 45] +(15) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#19] (16) BroadcastHashJoin [codegen id : 5] @@ -134,7 +133,7 @@ Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_da Input [4]: [ss_sold_time_sk#23, ss_item_sk#24, ss_ext_sales_price#25, ss_sold_date_sk#26] Condition : (isnotnull(ss_item_sk#24) AND isnotnull(ss_sold_time_sk#23)) -(21) ReusedExchange [Reuses operator id: 45] +(21) ReusedExchange [Reuses operator id: 44] Output [1]: [d_date_sk#27] (22) BroadcastHashJoin [codegen id : 7] @@ -202,56 +201,51 @@ Results [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Arguments: hashpartitioning(i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(36) CometColumnarToRow [codegen id : 10] -Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] - -(37) HashAggregate [codegen id : 10] +(36) CometHashAggregate Input [5]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33, sum#36] Keys [4]: [i_brand#5, i_brand_id#2, t_hour#32, t_minute#33] Functions [1]: [sum(UnscaledValue(ext_price#12))] -Aggregate Attributes [1]: [sum(UnscaledValue(ext_price#12))#37] -Results [5]: [i_brand_id#2 AS brand_id#38, i_brand#5 AS brand#39, t_hour#32, t_minute#33, MakeDecimal(sum(UnscaledValue(ext_price#12))#37,17,2) AS ext_price#40] -(38) CometColumnarExchange -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: rangepartitioning(ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(37) CometExchange +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: rangepartitioning(ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(39) CometSort -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] -Arguments: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40], [ext_price#40 DESC NULLS LAST, brand_id#38 ASC NULLS FIRST] +(38) CometSort +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] +Arguments: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39], [ext_price#39 DESC NULLS LAST, brand_id#37 ASC NULLS FIRST] -(40) CometColumnarToRow [codegen id : 11] -Input [5]: [brand_id#38, brand#39, t_hour#32, t_minute#33, ext_price#40] +(39) CometColumnarToRow [codegen id : 10] +Input [5]: [brand_id#37, brand#38, t_hour#32, t_minute#33, ext_price#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 6 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (45) -+- * CometColumnarToRow (44) - +- CometProject (43) - +- CometFilter (42) - +- CometNativeScan parquet spark_catalog.default.date_dim (41) +BroadcastExchange (44) ++- * CometColumnarToRow (43) + +- CometProject (42) + +- CometFilter (41) + +- CometNativeScan parquet spark_catalog.default.date_dim (40) -(41) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#41, d_moy#42] +(40) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#40, d_moy#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_moy), IsNotNull(d_year), EqualTo(d_moy,11), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(42) CometFilter -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] -Condition : ((((isnotnull(d_moy#42) AND isnotnull(d_year#41)) AND (d_moy#42 = 11)) AND (d_year#41 = 1999)) AND isnotnull(d_date_sk#11)) +(41) CometFilter +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] +Condition : ((((isnotnull(d_moy#41) AND isnotnull(d_year#40)) AND (d_moy#41 = 11)) AND (d_year#40 = 1999)) AND isnotnull(d_date_sk#11)) -(43) CometProject -Input [3]: [d_date_sk#11, d_year#41, d_moy#42] +(42) CometProject +Input [3]: [d_date_sk#11, d_year#40, d_moy#41] Arguments: [d_date_sk#11], [d_date_sk#11] -(44) CometColumnarToRow [codegen id : 1] +(43) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(45) BroadcastExchange +(44) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/extended.txt index 427d3518dc..e7c4aabd0f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/extended.txt @@ -1,62 +1,61 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.time_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- Union + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.time_dim -Comet accelerated 21 out of 49 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 22 out of 49 eligible operators (44%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/simplified.txt index 838a3e6604..c5b2b60263 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q71.native_datafusion/simplified.txt @@ -1,71 +1,68 @@ -WholeStageCodegen (11) +WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [brand_id,brand,t_hour,t_minute,ext_price] - CometColumnarExchange [ext_price,brand_id] #1 - WholeStageCodegen (10) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,sum] [sum(UnscaledValue(ext_price)),brand_id,brand,ext_price,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 - WholeStageCodegen (9) - HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] - Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] - BroadcastHashJoin [time_sk,t_time_sk] - Project [i_brand_id,i_brand,ext_price,time_sk] - BroadcastHashJoin [i_item_sk,sold_item_sk] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow + CometExchange [ext_price,brand_id] #1 + CometHashAggregate [sum] [brand_id,brand,t_hour,t_minute,ext_price,i_brand_id,i_brand,sum(UnscaledValue(ext_price))] + CometColumnarExchange [i_brand,i_brand_id,t_hour,t_minute] #2 + WholeStageCodegen (9) + HashAggregate [i_brand,i_brand_id,t_hour,t_minute,ext_price] [sum,sum] + Project [i_brand_id,i_brand,ext_price,t_hour,t_minute] + BroadcastHashJoin [time_sk,t_time_sk] + Project [i_brand_id,i_brand,ext_price,time_sk] + BroadcastHashJoin [i_item_sk,sold_item_sk] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] + CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] + InputAdapter + Union + WholeStageCodegen (3) + Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk,ws_sold_time_sk] + ColumnarToRow InputAdapter - CometProject [i_brand] [i_item_sk,i_brand_id,i_brand] - CometFilter [i_item_sk,i_brand_id,i_brand,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_brand,i_manager_id] - InputAdapter - Union - WholeStageCodegen (3) - Project [ws_ext_sales_price,ws_item_sk,ws_sold_time_sk] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk,ws_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (5) - Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Filter [cs_item_sk,cs_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (7) - Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_sold_time_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (8) - CometColumnarToRow + Scan parquet spark_catalog.default.web_sales [ws_sold_time_sk,ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] InputAdapter - CometProject [t_time_sk,t_hour,t_minute] - CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] - CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (5) + Project [cs_ext_sales_price,cs_item_sk,cs_sold_time_sk] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Filter [cs_item_sk,cs_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_sold_time_sk,cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (7) + Project [ss_ext_sales_price,ss_item_sk,ss_sold_time_sk] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_sold_time_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_sold_time_sk,ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometProject [t_time_sk,t_hour,t_minute] + CometFilter [t_time_sk,t_hour,t_minute,t_meal_time] + CometNativeScan parquet spark_catalog.default.time_dim [t_time_sk,t_hour,t_minute,t_meal_time] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/explain.txt index 9cb3536ab0..7604603101 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 1) AND (cnt#17 <= 5)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 1) AND (cnt#16 <= 5)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#19, 10)) AS c_salutation#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#20, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#21, 30)) AS c_last_name#25, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#22, 1)) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#18, 10)) AS c_salutation#22, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#19, 20)) AS c_first_name#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#20, 30)) AS c_last_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#21, 1)) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(cnt#17 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(cnt#16 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [cnt#17 DESC NULLS LAST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [cnt#16 DESC NULLS LAST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dom), GreaterThanOrEqual(d_dom,1), LessThanOrEqual(d_dom,2), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : ((((isnotnull(d_dom#28) AND (d_dom#28 >= 1)) AND (d_dom#28 <= 2)) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : ((((isnotnull(d_dom#27) AND (d_dom#27 >= 1)) AND (d_dom#27 <= 2)) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/simplified.txt index 4d2a6a74ab..cf64b4f5d6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q73.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [cnt] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [cnt] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/explain.txt index 174c3d72a2..fe24c7e003 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#20, 16)))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#19, 16)))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25], [c_customer_sk#19, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#20, 16)) AS c_customer_id#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#21, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#22, 30)) AS c_last_name#25] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24], [c_customer_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#19, 16)) AS c_customer_id#22, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#20, 20)) AS c_first_name#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#21, 30)) AS c_last_name#24] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ss_sold_date_sk#27), dynamicpruningexpression(ss_sold_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] -Condition : isnotnull(ss_customer_sk#26) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] +Condition : isnotnull(ss_customer_sk#25) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#26] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#25] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, ss_sold_date_sk#28] -Input [7]: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25, ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#30, d_year#31] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, ss_sold_date_sk#27] +Input [7]: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24, ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#28] -Right keys [1]: [d_date_sk#30] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#29, d_year#30] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, d_year#31] -Input [7]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, ss_sold_date_sk#28, d_date_sk#30, d_year#31] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, d_year#31] -Keys [4]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#27))] -Aggregate Attributes [1]: [sum#32] -Results [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] -Arguments: hashpartitioning(c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] -Keys [4]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31] -Functions [1]: [sum(UnscaledValue(ss_net_paid#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#27))#16] -Results [4]: [c_customer_id#23 AS customer_id#34, c_first_name#24 AS customer_first_name#35, c_last_name#25 AS customer_last_name#36, MakeDecimal(sum(UnscaledValue(ss_net_paid#27))#16,17,2) AS year_total#37] - -(36) BroadcastExchange -Input [4]: [customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#34] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#27] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, d_year#30] +Input [7]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, ss_sold_date_sk#27, d_date_sk#29, d_year#30] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, d_year#30] +Keys [4]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#26))] +Aggregate Attributes [1]: [sum#31] +Results [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] +Arguments: hashpartitioning(c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] +Keys [4]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30] +Functions [1]: [sum(UnscaledValue(ss_net_paid#26))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Arguments: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Arguments: [customer_id#16], [customer_id#33], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] -Condition : (isnotnull(c_customer_sk#38) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#39, 16)))) +(37) CometFilter +Input [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] +Condition : (isnotnull(c_customer_sk#37) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#38, 16)))) -(40) CometProject -Input [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] -Arguments: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44], [c_customer_sk#38, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#39, 16)) AS c_customer_id#42, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#40, 20)) AS c_first_name#43, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#41, 30)) AS c_last_name#44] +(38) CometProject +Input [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] +Arguments: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43], [c_customer_sk#37, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#38, 16)) AS c_customer_id#41, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#39, 20)) AS c_first_name#42, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#40, 30)) AS c_last_name#43] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#47), dynamicpruningexpression(ws_sold_date_sk#47 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#46), dynamicpruningexpression(ws_sold_date_sk#46 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] -Condition : isnotnull(ws_bill_customer_sk#45) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] +Condition : isnotnull(ws_bill_customer_sk#44) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#38] -Right keys [1]: [ws_bill_customer_sk#45] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#37] +Right keys [1]: [ws_bill_customer_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, ws_sold_date_sk#47] -Input [7]: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44, ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, ws_sold_date_sk#46] +Input [7]: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43, ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#48, d_year#49] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#47, d_year#48] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#47] -Right keys [1]: [d_date_sk#48] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#46] +Right keys [1]: [d_date_sk#47] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, d_year#49] -Input [7]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, ws_sold_date_sk#47, d_date_sk#48, d_year#49] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, d_year#49] -Keys [4]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#46))] -Aggregate Attributes [1]: [sum#50] -Results [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] -Arguments: hashpartitioning(c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] -Keys [4]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49] -Functions [1]: [sum(UnscaledValue(ws_net_paid#46))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#46))#52] -Results [2]: [c_customer_id#42 AS customer_id#53, MakeDecimal(sum(UnscaledValue(ws_net_paid#46))#52,17,2) AS year_total#54] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#53, year_total#54] -Condition : (isnotnull(year_total#54) AND (year_total#54 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#53, year_total#54] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#53] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, year_total#54] -Input [8]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, customer_id#53, year_total#54] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, d_year#48] +Input [7]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, ws_sold_date_sk#46, d_date_sk#47, d_year#48] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, d_year#48] +Keys [4]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#45))] +Aggregate Attributes [1]: [sum#49] +Results [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] +Arguments: hashpartitioning(c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] +Keys [4]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48] +Functions [1]: [sum(UnscaledValue(ws_net_paid#45))] + +(52) CometFilter +Input [2]: [customer_id#51, year_total#52] +Condition : (isnotnull(year_total#52) AND (year_total#52 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#51, year_total#52] +Arguments: [customer_id#51, year_total#52] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Right output [2]: [customer_id#51, year_total#52] +Arguments: [customer_id#16], [customer_id#51], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, customer_id#51, year_total#52] +Arguments: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52], [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] -Condition : (isnotnull(c_customer_sk#55) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)))) +(57) CometFilter +Input [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] +Condition : (isnotnull(c_customer_sk#53) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)))) -(61) CometProject -Input [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] -Arguments: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61], [c_customer_sk#55, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)) AS c_customer_id#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#57, 20)) AS c_first_name#60, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#58, 30)) AS c_last_name#61] +(58) CometProject +Input [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] +Arguments: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59], [c_customer_sk#53, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)) AS c_customer_id#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#55, 20)) AS c_first_name#58, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#56, 30)) AS c_last_name#59] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#64), dynamicpruningexpression(ws_sold_date_sk#64 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ws_sold_date_sk#62), dynamicpruningexpression(ws_sold_date_sk#62 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] -Condition : isnotnull(ws_bill_customer_sk#62) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] +Condition : isnotnull(ws_bill_customer_sk#60) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#55] -Right keys [1]: [ws_bill_customer_sk#62] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#53] +Right keys [1]: [ws_bill_customer_sk#60] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, ws_sold_date_sk#64] -Input [7]: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61, ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, ws_sold_date_sk#62] +Input [7]: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59, ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#65, d_year#66] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#63, d_year#64] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#64] -Right keys [1]: [d_date_sk#65] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#62] +Right keys [1]: [d_date_sk#63] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, d_year#66] -Input [7]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, ws_sold_date_sk#64, d_date_sk#65, d_year#66] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, d_year#66] -Keys [4]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#63))] -Aggregate Attributes [1]: [sum#67] -Results [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] -Arguments: hashpartitioning(c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] -Keys [4]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66] -Functions [1]: [sum(UnscaledValue(ws_net_paid#63))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#63))#52] -Results [2]: [c_customer_id#59 AS customer_id#69, MakeDecimal(sum(UnscaledValue(ws_net_paid#63))#52,17,2) AS year_total#70] - -(76) BroadcastExchange -Input [2]: [customer_id#69, year_total#70] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#69] -Join type: Inner -Join condition: (CASE WHEN (year_total#54 > 0.00) THEN (year_total#70 / year_total#54) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#37 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, d_year#64] +Input [7]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, ws_sold_date_sk#62, d_date_sk#63, d_year#64] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, d_year#64] +Keys [4]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#61))] +Aggregate Attributes [1]: [sum#65] +Results [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] +Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] +Keys [4]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64] +Functions [1]: [sum(UnscaledValue(ws_net_paid#61))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#34, customer_first_name#35, customer_last_name#36] -Input [9]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, year_total#54, customer_id#69, year_total#70] +(72) CometBroadcastExchange +Input [2]: [customer_id#67, year_total#68] +Arguments: [customer_id#67, year_total#68] -(79) TakeOrderedAndProject -Input [3]: [customer_id#34, customer_first_name#35, customer_last_name#36] -Arguments: 100, [customer_id#34 ASC NULLS FIRST, customer_id#34 ASC NULLS FIRST, customer_id#34 ASC NULLS FIRST], [customer_id#34, customer_first_name#35, customer_last_name#36] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52] +Right output [2]: [customer_id#67, year_total#68] +Arguments: [customer_id#16], [customer_id#67], Inner, (CASE WHEN (year_total#52 > 0.00) THEN (year_total#68 / year_total#52) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#36 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52, customer_id#67, year_total#68] +Arguments: [customer_id#33, customer_first_name#34, customer_last_name#35], [customer_id#33, customer_first_name#34, customer_last_name#35] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#33, customer_first_name#34, customer_last_name#35] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#33 ASC NULLS FIRST,customer_id#33 ASC NULLS FIRST,customer_id#33 ASC NULLS FIRST], output=[customer_id#33,customer_first_name#34,customer_last_name#35]), [customer_id#33, customer_first_name#34, customer_last_name#35], 100, 0, [customer_id#33 ASC NULLS FIRST, customer_id#33 ASC NULLS FIRST, customer_id#33 ASC NULLS FIRST], [customer_id#33, customer_first_name#34, customer_last_name#35] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#33, customer_first_name#34, customer_last_name#35] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#30, d_year#31] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#29, d_year#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#30, d_year#31] -Condition : (((isnotnull(d_year#31) AND (d_year#31 = 2002)) AND d_year#31 IN (2001,2002)) AND isnotnull(d_date_sk#30)) +(82) CometFilter +Input [2]: [d_date_sk#29, d_year#30] +Condition : (((isnotnull(d_year#30) AND (d_year#30 = 2002)) AND d_year#30 IN (2001,2002)) AND isnotnull(d_date_sk#29)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#30, d_year#31] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#29, d_year#30] -(87) BroadcastExchange -Input [2]: [d_date_sk#30, d_year#31] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#29, d_year#30] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#47 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#46 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#64 IN dynamicpruning#29 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#62 IN dynamicpruning#28 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/simplified.txt index f488e18c7c..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/explain.txt index ae530b4900..dc34194c8f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/explain.txt @@ -1,96 +1,94 @@ == Physical Plan == -TakeOrderedAndProject (92) -+- * HashAggregate (91) - +- * CometColumnarToRow (90) - +- CometColumnarExchange (89) - +- * HashAggregate (88) - +- * Expand (87) - +- Union (86) - :- * Project (32) - : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : :- * HashAggregate (16) - : : +- * CometColumnarToRow (15) - : : +- CometColumnarExchange (14) - : : +- * HashAggregate (13) - : : +- * Project (12) - : : +- * BroadcastHashJoin Inner BuildRight (11) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (10) - : : +- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (30) - : +- * HashAggregate (29) - : +- * CometColumnarToRow (28) - : +- CometColumnarExchange (27) - : +- * HashAggregate (26) - : +- * Project (25) - : +- * BroadcastHashJoin Inner BuildRight (24) - : :- * Project (22) - : : +- * BroadcastHashJoin Inner BuildRight (21) - : : :- * Filter (19) - : : : +- * ColumnarToRow (18) - : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : +- ReusedExchange (20) - : +- ReusedExchange (23) - :- * Project (53) - : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : :- BroadcastExchange (42) - : : +- * HashAggregate (41) - : : +- * CometColumnarToRow (40) - : : +- CometColumnarExchange (39) - : : +- * HashAggregate (38) - : : +- * Project (37) - : : +- * BroadcastHashJoin Inner BuildRight (36) - : : :- * ColumnarToRow (34) - : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : +- ReusedExchange (35) - : +- * HashAggregate (51) - : +- * CometColumnarToRow (50) - : +- CometColumnarExchange (49) - : +- * HashAggregate (48) - : +- * Project (47) - : +- * BroadcastHashJoin Inner BuildRight (46) - : :- * ColumnarToRow (44) - : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : +- ReusedExchange (45) - +- * Project (85) - +- * BroadcastHashJoin LeftOuter BuildRight (84) - :- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- CometColumnarExchange (67) - : +- * HashAggregate (66) - : +- * Project (65) - : +- * BroadcastHashJoin Inner BuildRight (64) - : :- * Project (59) - : : +- * BroadcastHashJoin Inner BuildRight (58) - : : :- * Filter (56) - : : : +- * ColumnarToRow (55) - : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (57) - : +- BroadcastExchange (63) - : +- * CometColumnarToRow (62) - : +- CometFilter (61) - : +- CometNativeScan parquet spark_catalog.default.web_page (60) - +- BroadcastExchange (83) - +- * HashAggregate (82) - +- * CometColumnarToRow (81) - +- CometColumnarExchange (80) - +- * HashAggregate (79) - +- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (75) - : +- * BroadcastHashJoin Inner BuildRight (74) - : :- * Filter (72) - : : +- * ColumnarToRow (71) - : : +- Scan parquet spark_catalog.default.web_returns (70) - : +- ReusedExchange (73) - +- ReusedExchange (76) +* CometColumnarToRow (90) ++- CometTakeOrderedAndProject (89) + +- CometHashAggregate (88) + +- CometColumnarExchange (87) + +- * HashAggregate (86) + +- * Expand (85) + +- Union (84) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometHashAggregate (15) + : : +- CometColumnarExchange (14) + : : +- * HashAggregate (13) + : : +- * Project (12) + : : +- * BroadcastHashJoin Inner BuildRight (11) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (10) + : : +- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- CometBroadcastExchange (28) + : +- CometHashAggregate (27) + : +- CometColumnarExchange (26) + : +- * HashAggregate (25) + : +- * Project (24) + : +- * BroadcastHashJoin Inner BuildRight (23) + : :- * Project (21) + : : +- * BroadcastHashJoin Inner BuildRight (20) + : : :- * Filter (18) + : : : +- * ColumnarToRow (17) + : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : +- ReusedExchange (19) + : +- ReusedExchange (22) + :- * Project (52) + : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : :- BroadcastExchange (41) + : : +- * CometColumnarToRow (40) + : : +- CometHashAggregate (39) + : : +- CometColumnarExchange (38) + : : +- * HashAggregate (37) + : : +- * Project (36) + : : +- * BroadcastHashJoin Inner BuildRight (35) + : : :- * ColumnarToRow (33) + : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : +- ReusedExchange (34) + : +- * CometColumnarToRow (50) + : +- CometHashAggregate (49) + : +- CometColumnarExchange (48) + : +- * HashAggregate (47) + : +- * Project (46) + : +- * BroadcastHashJoin Inner BuildRight (45) + : :- * ColumnarToRow (43) + : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : +- ReusedExchange (44) + +- * CometColumnarToRow (83) + +- CometProject (82) + +- CometBroadcastHashJoin (81) + :- CometHashAggregate (67) + : +- CometColumnarExchange (66) + : +- * HashAggregate (65) + : +- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (58) + : : +- * BroadcastHashJoin Inner BuildRight (57) + : : :- * Filter (55) + : : : +- * ColumnarToRow (54) + : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : +- ReusedExchange (56) + : +- BroadcastExchange (62) + : +- * CometColumnarToRow (61) + : +- CometFilter (60) + : +- CometNativeScan parquet spark_catalog.default.web_page (59) + +- CometBroadcastExchange (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- * Project (76) + +- * BroadcastHashJoin Inner BuildRight (75) + :- * Project (73) + : +- * BroadcastHashJoin Inner BuildRight (72) + : :- * Filter (70) + : : +- * ColumnarToRow (69) + : : +- Scan parquet spark_catalog.default.web_returns (68) + : +- ReusedExchange (71) + +- ReusedExchange (74) (1) Scan parquet spark_catalog.default.store_sales @@ -108,7 +106,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 97] +(4) ReusedExchange [Reuses operator id: 95] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -160,416 +158,394 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] + +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(32) Project [codegen id : 8] -Output [5]: [sales#14, coalesce(returns#28, 0.00) AS returns#30, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#31, store channel AS channel#32, s_store_sk#7 AS id#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [sales#24, returns#26, profit#27, channel#28, id#29], [sales#24, coalesce(returns#22, 0.00) AS returns#26, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#27, store channel AS channel#28, s_store_sk#7 AS id#29] -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] - -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] + +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#59, catalog channel AS channel#60, cs_call_center_sk#34 AS id#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#51, catalog channel AS channel#52, cs_call_center_sk#30 AS id#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 97] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 95] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] -(85) Project [codegen id : 22] -Output [5]: [sales#74, coalesce(returns#88, 0.00) AS returns#90, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#91, web channel AS channel#92, wp_web_page_sk#67 AS id#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight -(86) Union +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [sales#76, returns#78, profit#79, channel#80, id#81], [sales#76, coalesce(returns#74, 0.00) AS returns#78, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#79, web channel AS channel#80, wp_web_page_sk#59 AS id#81] -(87) Expand [codegen id : 23] -Input [5]: [sales#14, returns#30, profit#31, channel#32, id#33] -Arguments: [[sales#14, returns#30, profit#31, channel#32, id#33, 0], [sales#14, returns#30, profit#31, channel#32, null, 1], [sales#14, returns#30, profit#31, null, null, 3]], [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [sales#76, returns#78, profit#79, channel#80, id#81] -(88) HashAggregate [codegen id : 23] -Input [6]: [sales#14, returns#30, profit#31, channel#94, id#95, spark_grouping_id#96] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#30), partial_sum(profit#31)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(84) Union -(89) CometColumnarExchange -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#94, id#95, spark_grouping_id#96, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(85) Expand [codegen id : 21] +Input [5]: [sales#24, returns#26, profit#27, channel#28, id#29] +Arguments: [[sales#24, returns#26, profit#27, channel#28, id#29, 0], [sales#24, returns#26, profit#27, channel#28, null, 1], [sales#24, returns#26, profit#27, null, null, 3]], [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] -(90) CometColumnarToRow [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(86) HashAggregate [codegen id : 21] +Input [6]: [sales#24, returns#26, profit#27, channel#82, id#83, spark_grouping_id#84] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#26), partial_sum(profit#27)] +Aggregate Attributes [6]: [sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] +Results [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] -(91) HashAggregate [codegen id : 24] -Input [9]: [channel#94, id#95, spark_grouping_id#96, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Keys [3]: [channel#94, id#95, spark_grouping_id#96] -Functions [3]: [sum(sales#14), sum(returns#30), sum(profit#31)] -Aggregate Attributes [3]: [sum(sales#14)#109, sum(returns#30)#110, sum(profit#31)#111] -Results [5]: [channel#94, id#95, sum(sales#14)#109 AS sales#112, sum(returns#30)#110 AS returns#113, sum(profit#31)#111 AS profit#114] +(87) CometColumnarExchange +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#82, id#83, spark_grouping_id#84, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(92) TakeOrderedAndProject -Input [5]: [channel#94, id#95, sales#112, returns#113, profit#114] -Arguments: 100, [channel#94 ASC NULLS FIRST, id#95 ASC NULLS FIRST], [channel#94, id#95, sales#112, returns#113, profit#114] +(88) CometHashAggregate +Input [9]: [channel#82, id#83, spark_grouping_id#84, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Keys [3]: [channel#82, id#83, spark_grouping_id#84] +Functions [3]: [sum(sales#24), sum(returns#26), sum(profit#27)] + +(89) CometTakeOrderedAndProject +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#82 ASC NULLS FIRST,id#83 ASC NULLS FIRST], output=[channel#82,id#83,sales#97,returns#98,profit#99]), [channel#82, id#83, sales#97, returns#98, profit#99], 100, 0, [channel#82 ASC NULLS FIRST, id#83 ASC NULLS FIRST], [channel#82, id#83, sales#97, returns#98, profit#99] + +(90) CometColumnarToRow [codegen id : 22] +Input [5]: [channel#82, id#83, sales#97, returns#98, profit#99] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (97) -+- * CometColumnarToRow (96) - +- CometProject (95) - +- CometFilter (94) - +- CometNativeScan parquet spark_catalog.default.date_dim (93) +BroadcastExchange (95) ++- * CometColumnarToRow (94) + +- CometProject (93) + +- CometFilter (92) + +- CometNativeScan parquet spark_catalog.default.date_dim (91) -(93) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#115] +(91) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#100] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-08-03), LessThanOrEqual(d_date,2000-09-02), IsNotNull(d_date_sk)] ReadSchema: struct -(94) CometFilter -Input [2]: [d_date_sk#6, d_date#115] -Condition : (((isnotnull(d_date#115) AND (d_date#115 >= 2000-08-03)) AND (d_date#115 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) +(92) CometFilter +Input [2]: [d_date_sk#6, d_date#100] +Condition : (((isnotnull(d_date#100) AND (d_date#100 >= 2000-08-03)) AND (d_date#100 <= 2000-09-02)) AND isnotnull(d_date_sk#6)) -(95) CometProject -Input [2]: [d_date_sk#6, d_date#115] +(93) CometProject +Input [2]: [d_date_sk#6, d_date#100] Arguments: [d_date_sk#6], [d_date_sk#6] -(96) CometColumnarToRow [codegen id : 1] +(94) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(97) BroadcastExchange +(95) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/extended.txt index d12b8dde24..93286d646f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/extended.txt @@ -1,41 +1,40 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -56,10 +55,10 @@ TakeOrderedAndProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.store :- Project - : +- BroadcastNestedLoopJoin + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow + : : +- CometColumnarToRow + : : +- CometHashAggregate : : +- CometColumnarExchange : : +- HashAggregate : : +- Project @@ -72,8 +71,8 @@ TakeOrderedAndProject : : +- CometProject : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -86,32 +85,31 @@ TakeOrderedAndProject : +- CometProject : +- CometFilter : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -132,4 +130,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 36 out of 109 eligible operators (33%). Final plan contains 24 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 50 out of 109 eligible operators (45%). Final plan contains 22 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/simplified.txt index 4256e90759..dbaea7bf2e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_datafusion/simplified.txt @@ -1,20 +1,20 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (24) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (22) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] Expand [sales,returns,profit,channel,id] InputAdapter Union - WholeStageCodegen (8) - Project [sales,returns,profit,profit_loss,s_store_sk] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,s_store_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_sk] #2 WholeStageCodegen (3) HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] @@ -43,39 +43,35 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] InputAdapter CometFilter [s_store_sk] CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #6 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,returns,profit_loss] #5 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #6 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [s_store_sk] #4 - WholeStageCodegen (14) + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [s_store_sk] #4 + WholeStageCodegen (13) Project [sales,returns,profit,profit_loss,cs_call_center_sk] BroadcastNestedLoopJoin InputAdapter BroadcastExchange #7 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] CometColumnarExchange [cs_call_center_sk] #8 - WholeStageCodegen (10) + WholeStageCodegen (9) HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] BroadcastHashJoin [cs_sold_date_sk,d_date_sk] @@ -85,11 +81,11 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] CometColumnarExchange #9 - WholeStageCodegen (13) + WholeStageCodegen (12) HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] Project [cr_return_amount,cr_net_loss] BroadcastHashJoin [cr_returned_date_sk,d_date_sk] @@ -99,14 +95,14 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [d_date_sk] #3 - WholeStageCodegen (22) - Project [sales,returns,profit,profit_loss,wp_web_page_sk] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [returns,profit,profit_loss,wp_web_page_sk] [sales,returns,profit,channel,id] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] CometColumnarExchange [wp_web_page_sk] #10 - WholeStageCodegen (17) + WholeStageCodegen (16) HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] @@ -121,30 +117,26 @@ TakeOrderedAndProject [channel,id,sales,returns,profit] ReusedExchange [d_date_sk] #3 InputAdapter BroadcastExchange #11 - WholeStageCodegen (16) + WholeStageCodegen (15) CometColumnarToRow InputAdapter CometFilter [wp_web_page_sk] CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #13 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #12 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #13 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #3 + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - ReusedExchange [wp_web_page_sk] #11 + ReusedExchange [d_date_sk] #3 + InputAdapter + ReusedExchange [wp_web_page_sk] #11 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/explain.txt index bb7ed0a50c..3c7ad74d6f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (85) -+- * HashAggregate (84) - +- * CometColumnarToRow (83) +* CometColumnarToRow (85) ++- CometTakeOrderedAndProject (84) + +- CometHashAggregate (83) +- CometColumnarExchange (82) +- * HashAggregate (81) +- * Expand (80) @@ -459,19 +459,17 @@ Results [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#8 Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Arguments: hashpartitioning(channel#76, id#77, spark_grouping_id#78, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(83) CometColumnarToRow [codegen id : 6] -Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] - -(84) HashAggregate [codegen id : 6] +(83) CometHashAggregate Input [9]: [channel#76, id#77, spark_grouping_id#78, sum#85, isEmpty#86, sum#87, isEmpty#88, sum#89, isEmpty#90] Keys [3]: [channel#76, id#77, spark_grouping_id#78] Functions [3]: [sum(sales#22), sum(returns#24), sum(profit#25)] -Aggregate Attributes [3]: [sum(sales#22)#91, sum(returns#24)#92, sum(profit#25)#93] -Results [5]: [channel#76, id#77, sum(sales#22)#91 AS sales#94, sum(returns#24)#92 AS returns#95, sum(profit#25)#93 AS profit#96] -(85) TakeOrderedAndProject -Input [5]: [channel#76, id#77, sales#94, returns#95, profit#96] -Arguments: 100, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#94, returns#95, profit#96] +(84) CometTakeOrderedAndProject +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#76 ASC NULLS FIRST,id#77 ASC NULLS FIRST], output=[channel#76,id#77,sales#91,returns#92,profit#93]), [channel#76, id#77, sales#91, returns#92, profit#93], 100, 0, [channel#76 ASC NULLS FIRST, id#77 ASC NULLS FIRST], [channel#76, id#77, sales#91, returns#92, profit#93] + +(85) CometColumnarToRow [codegen id : 6] +Input [5]: [channel#76, id#77, sales#91, returns#92, profit#93] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/extended.txt index ed8a9e38ca..2aff895efb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -114,4 +114,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 94 out of 109 eligible operators (86%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 96 out of 109 eligible operators (88%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/simplified.txt index a1243769e5..fe8f896e86 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q77/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [channel,id,sales,returns,profit] - WholeStageCodegen (6) - HashAggregate [channel,id,spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,id,sales,returns,profit] + CometHashAggregate [spark_grouping_id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] CometColumnarExchange [channel,id,spark_grouping_id] #1 WholeStageCodegen (5) HashAggregate [channel,id,spark_grouping_id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/explain.txt index e51e7eb2af..2539794012 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/explain.txt @@ -1,36 +1,35 @@ == Physical Plan == -TakeOrderedAndProject (32) -+- * Project (31) - +- * BroadcastHashJoin Inner BuildRight (30) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (29) - +- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.customer (25) +* CometColumnarToRow (31) ++- CometTakeOrderedAndProject (30) + +- CometProject (29) + +- CometBroadcastHashJoin (28) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.customer (24) (1) Scan parquet spark_catalog.default.store_sales @@ -48,7 +47,7 @@ Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_tic Input [8]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_addr_sk#3, ss_store_sk#4, ss_ticket_number#5, ss_coupon_amt#6, ss_net_profit#7, ss_sold_date_sk#8] Condition : ((isnotnull(ss_store_sk#4) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 37] +(4) ReusedExchange [Reuses operator id: 36] Output [1]: [d_date_sk#10] (5) BroadcastHashJoin [codegen id : 4] @@ -136,82 +135,76 @@ Results [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Arguments: hashpartitioning(ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [6]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13, sum#19, sum#20] Keys [4]: [ss_ticket_number#5, ss_customer_sk#1, ss_addr_sk#3, s_city#13] Functions [2]: [sum(UnscaledValue(ss_coupon_amt#6)), sum(UnscaledValue(ss_net_profit#7))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_coupon_amt#6))#21, sum(UnscaledValue(ss_net_profit#7))#22] -Results [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, MakeDecimal(sum(UnscaledValue(ss_coupon_amt#6))#21,17,2) AS amt#23, MakeDecimal(sum(UnscaledValue(ss_net_profit#7))#22,17,2) AS profit#24] -(25) CometNativeScan parquet spark_catalog.default.customer -Output [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] +(24) CometNativeScan parquet spark_catalog.default.customer +Output [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(26) CometFilter -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Condition : isnotnull(c_customer_sk#25) +(25) CometFilter +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Condition : isnotnull(c_customer_sk#21) -(27) CometProject -Input [3]: [c_customer_sk#25, c_first_name#26, c_last_name#27] -Arguments: [c_customer_sk#25, c_first_name#28, c_last_name#29], [c_customer_sk#25, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#26, 20)) AS c_first_name#28, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#27, 30)) AS c_last_name#29] +(26) CometProject +Input [3]: [c_customer_sk#21, c_first_name#22, c_last_name#23] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25], [c_customer_sk#21, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#22, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#23, 30)) AS c_last_name#25] -(28) CometColumnarToRow [codegen id : 5] -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] +(27) CometBroadcastExchange +Input [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_customer_sk#21, c_first_name#24, c_last_name#25] -(29) BroadcastExchange -Input [3]: [c_customer_sk#25, c_first_name#28, c_last_name#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastHashJoin +Left output [5]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27] +Right output [3]: [c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#21], Inner, BuildRight -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#25] -Join type: Inner -Join condition: None +(29) CometProject +Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#26, profit#27, c_customer_sk#21, c_first_name#24, c_last_name#25] +Arguments: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13], [c_last_name#25, c_first_name#24, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] -(31) Project [codegen id : 6] -Output [7]: [c_last_name#29, c_first_name#28, substr(s_city#13, 1, 30) AS substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Input [8]: [ss_ticket_number#5, ss_customer_sk#1, s_city#13, amt#23, profit#24, c_customer_sk#25, c_first_name#28, c_last_name#29] +(30) CometTakeOrderedAndProject +Input [7]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27, s_city#13] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_last_name#25 ASC NULLS FIRST,c_first_name#24 ASC NULLS FIRST,substr(s_city#13, 1, 30) ASC NULLS FIRST,profit#27 ASC NULLS FIRST], output=[c_last_name#25,c_first_name#24,substr(s_city, 1, 30)#28,ss_ticket_number#5,amt#26,profit#27]), [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27], 100, 0, [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#27 ASC NULLS FIRST], [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] -(32) TakeOrderedAndProject -Input [7]: [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24, s_city#13] -Arguments: 100, [c_last_name#29 ASC NULLS FIRST, c_first_name#28 ASC NULLS FIRST, substr(s_city#13, 1, 30) ASC NULLS FIRST, profit#24 ASC NULLS FIRST], [c_last_name#29, c_first_name#28, substr(s_city, 1, 30)#30, ss_ticket_number#5, amt#23, profit#24] +(31) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#25, c_first_name#24, substr(s_city, 1, 30)#28, ss_ticket_number#5, amt#26, profit#27] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (37) -+- * CometColumnarToRow (36) - +- CometProject (35) - +- CometFilter (34) - +- CometNativeScan parquet spark_catalog.default.date_dim (33) +BroadcastExchange (36) ++- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.date_dim (32) -(33) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#10, d_year#31, d_dow#32] +(32) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#10, d_year#29, d_dow#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_dow), EqualTo(d_dow,1), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(34) CometFilter -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] -Condition : (((isnotnull(d_dow#32) AND (d_dow#32 = 1)) AND d_year#31 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) +(33) CometFilter +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] +Condition : (((isnotnull(d_dow#30) AND (d_dow#30 = 1)) AND d_year#29 IN (1999,2000,2001)) AND isnotnull(d_date_sk#10)) -(35) CometProject -Input [3]: [d_date_sk#10, d_year#31, d_dow#32] +(34) CometProject +Input [3]: [d_date_sk#10, d_year#29, d_dow#30] Arguments: [d_date_sk#10], [d_date_sk#10] -(36) CometColumnarToRow [codegen id : 1] +(35) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#10] -(37) BroadcastExchange +(36) BroadcastExchange Input [1]: [d_date_sk#10] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/extended.txt index 05bd194c34..8014db6392 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/extended.txt @@ -1,44 +1,43 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 16 out of 35 eligible operators (45%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 35 eligible operators (60%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/simplified.txt index 1ee7a286a4..d22932e9d2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q79.native_datafusion/simplified.txt @@ -1,10 +1,10 @@ -TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, 30),ss_ticket_number,amt] - WholeStageCodegen (6) - Project [c_last_name,c_first_name,s_city,ss_ticket_number,amt,profit] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,sum,sum] [sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit)),amt,profit,sum,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_city] [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit] + CometProject [c_last_name,c_first_name,substr(s_city, 1, 30),ss_ticket_number,amt,profit,s_city] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,s_city,amt,profit,c_customer_sk,c_first_name,c_last_name] + CometHashAggregate [ss_addr_sk,sum,sum] [ss_ticket_number,ss_customer_sk,s_city,amt,profit,sum(UnscaledValue(ss_coupon_amt)),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city] #1 WholeStageCodegen (4) HashAggregate [ss_ticket_number,ss_customer_sk,ss_addr_sk,s_city,ss_coupon_amt,ss_net_profit] [sum,sum,sum,sum] @@ -44,11 +44,7 @@ TakeOrderedAndProject [c_last_name,c_first_name,s_city,profit,substr(s_city, 1, CometProject [hd_demo_sk] CometFilter [hd_demo_sk,hd_dep_count,hd_vehicle_count] CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] + CometBroadcastExchange [c_customer_sk,c_first_name,c_last_name] #5 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_first_name,c_last_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/explain.txt index 225159b9e0..86203c864d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (44) -+- * HashAggregate (43) - +- * CometColumnarToRow (42) +* CometColumnarToRow (44) ++- CometTakeOrderedAndProject (43) + +- CometHashAggregate (42) +- CometColumnarExchange (41) +- * HashAggregate (40) +- * Project (39) @@ -235,19 +235,17 @@ Results [2]: [s_store_name#7, sum#21] Input [2]: [s_store_name#7, sum#21] Arguments: hashpartitioning(s_store_name#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(42) CometColumnarToRow [codegen id : 5] -Input [2]: [s_store_name#7, sum#21] - -(43) HashAggregate [codegen id : 5] +(42) CometHashAggregate Input [2]: [s_store_name#7, sum#21] Keys [1]: [s_store_name#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#22] -Results [2]: [s_store_name#7, MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#22,17,2) AS sum(ss_net_profit)#23] -(44) TakeOrderedAndProject -Input [2]: [s_store_name#7, sum(ss_net_profit)#23] -Arguments: 100, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#23] +(43) CometTakeOrderedAndProject +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[s_store_name#7 ASC NULLS FIRST], output=[s_store_name#7,sum(ss_net_profit)#22]), [s_store_name#7, sum(ss_net_profit)#22], 100, 0, [s_store_name#7 ASC NULLS FIRST], [s_store_name#7, sum(ss_net_profit)#22] + +(44) CometColumnarToRow [codegen id : 5] +Input [2]: [s_store_name#7, sum(ss_net_profit)#22] ===== Subqueries ===== @@ -260,18 +258,18 @@ BroadcastExchange (49) (45) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Output [3]: [d_date_sk#5, d_year#23, d_qoy#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_qoy), IsNotNull(d_year), EqualTo(d_qoy,2), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct (46) CometFilter -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] -Condition : ((((isnotnull(d_qoy#25) AND isnotnull(d_year#24)) AND (d_qoy#25 = 2)) AND (d_year#24 = 1998)) AND isnotnull(d_date_sk#5)) +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] +Condition : ((((isnotnull(d_qoy#24) AND isnotnull(d_year#23)) AND (d_qoy#24 = 2)) AND (d_year#23 = 1998)) AND isnotnull(d_date_sk#5)) (47) CometProject -Input [3]: [d_date_sk#5, d_year#24, d_qoy#25] +Input [3]: [d_date_sk#5, d_year#23, d_qoy#24] Arguments: [d_date_sk#5], [d_date_sk#5] (48) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/extended.txt index 257b7f0d77..f6c170dacc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -53,4 +53,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 32 out of 48 eligible operators (66%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 34 out of 48 eligible operators (70%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/simplified.txt index 4df6d8f659..1cf80a5bae 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q8.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [s_store_name,sum(ss_net_profit)] - WholeStageCodegen (5) - HashAggregate [s_store_name,sum] [sum(UnscaledValue(ss_net_profit)),sum(ss_net_profit),sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [s_store_name,sum(ss_net_profit)] + CometHashAggregate [sum] [s_store_name,sum(ss_net_profit),sum(UnscaledValue(ss_net_profit))] CometColumnarExchange [s_store_name] #1 WholeStageCodegen (4) HashAggregate [s_store_name,ss_net_profit] [sum,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/explain.txt index bcc4d0f4a0..20f2a1983e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/explain.txt @@ -1,58 +1,54 @@ == Physical Plan == -TakeOrderedAndProject (54) -+- * Project (53) - +- * BroadcastHashJoin Inner BuildRight (52) - :- * Project (46) - : +- * BroadcastHashJoin Inner BuildRight (45) - : :- * Project (39) - : : +- * BroadcastHashJoin Inner BuildRight (38) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (11) - : : : +- * CometColumnarToRow (10) - : : : +- CometProject (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) - : : +- BroadcastExchange (37) - : : +- * Filter (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * HashAggregate (31) - : : +- * CometColumnarToRow (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * Project (27) - : : +- * BroadcastHashJoin Inner BuildRight (26) - : : :- * Project (24) - : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : :- * Filter (21) - : : : : +- * ColumnarToRow (20) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (19) - : : : +- ReusedExchange (22) - : : +- ReusedExchange (25) - : +- BroadcastExchange (44) - : +- * CometColumnarToRow (43) - : +- CometProject (42) - : +- CometFilter (41) - : +- CometNativeScan parquet spark_catalog.default.customer (40) - +- BroadcastExchange (51) - +- * CometColumnarToRow (50) - +- CometProject (49) - +- CometFilter (48) - +- CometNativeScan parquet spark_catalog.default.customer_address (47) +* CometColumnarToRow (50) ++- CometTakeOrderedAndProject (49) + +- CometProject (48) + +- CometBroadcastHashJoin (47) + :- CometProject (42) + : +- CometBroadcastHashJoin (41) + : :- CometProject (36) + : : +- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (11) + : : : +- * CometColumnarToRow (10) + : : : +- CometProject (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (7) + : : +- CometBroadcastExchange (34) + : : +- CometFilter (33) + : : +- CometHashAggregate (32) + : : +- CometExchange (31) + : : +- CometHashAggregate (30) + : : +- CometHashAggregate (29) + : : +- CometColumnarExchange (28) + : : +- * HashAggregate (27) + : : +- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (23) + : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : :- * Filter (20) + : : : : +- * ColumnarToRow (19) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (18) + : : : +- ReusedExchange (21) + : : +- ReusedExchange (24) + : +- CometBroadcastExchange (40) + : +- CometProject (39) + : +- CometFilter (38) + : +- CometNativeScan parquet spark_catalog.default.customer (37) + +- CometBroadcastExchange (46) + +- CometProject (45) + +- CometFilter (44) + +- CometNativeScan parquet spark_catalog.default.customer_address (43) (1) Scan parquet spark_catalog.default.catalog_returns @@ -70,7 +66,7 @@ Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_in Input [4]: [cr_returning_customer_sk#1, cr_returning_addr_sk#2, cr_return_amt_inc_tax#3, cr_returned_date_sk#4] Condition : (isnotnull(cr_returning_addr_sk#2) AND isnotnull(cr_returning_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 59] +(4) ReusedExchange [Reuses operator id: 55] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -126,221 +122,198 @@ Results [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Arguments: hashpartitioning(cr_returning_customer_sk#1, ca_state#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 11] -Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] - -(17) HashAggregate [codegen id : 11] +(16) CometHashAggregate Input [3]: [cr_returning_customer_sk#1, ca_state#9, sum#11] Keys [2]: [cr_returning_customer_sk#1, ca_state#9] Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#3))#12] -Results [3]: [cr_returning_customer_sk#1 AS ctr_customer_sk#13, ca_state#9 AS ctr_state#14, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#3))#12,17,2) AS ctr_total_return#15] -(18) Filter [codegen id : 11] -Input [3]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15] -Condition : isnotnull(ctr_total_return#15) +(17) CometFilter +Input [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Condition : isnotnull(ctr_total_return#14) -(19) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] +(18) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#19), dynamicpruningexpression(cr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#18), dynamicpruningexpression(cr_returned_date_sk#18 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_returning_addr_sk)] ReadSchema: struct -(20) ColumnarToRow [codegen id : 6] -Input [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] +(19) ColumnarToRow [codegen id : 6] +Input [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] -(21) Filter [codegen id : 6] -Input [4]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19] -Condition : isnotnull(cr_returning_addr_sk#17) +(20) Filter [codegen id : 6] +Input [4]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18] +Condition : isnotnull(cr_returning_addr_sk#16) -(22) ReusedExchange [Reuses operator id: 59] -Output [1]: [d_date_sk#20] +(21) ReusedExchange [Reuses operator id: 55] +Output [1]: [d_date_sk#19] -(23) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(22) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returned_date_sk#18] +Right keys [1]: [d_date_sk#19] Join type: Inner Join condition: None -(24) Project [codegen id : 6] -Output [3]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18] -Input [5]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, cr_returned_date_sk#19, d_date_sk#20] +(23) Project [codegen id : 6] +Output [3]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17] +Input [5]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, cr_returned_date_sk#18, d_date_sk#19] -(25) ReusedExchange [Reuses operator id: 11] -Output [2]: [ca_address_sk#21, ca_state#22] +(24) ReusedExchange [Reuses operator id: 11] +Output [2]: [ca_address_sk#20, ca_state#21] -(26) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returning_addr_sk#17] -Right keys [1]: [ca_address_sk#21] +(25) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returning_addr_sk#16] +Right keys [1]: [ca_address_sk#20] Join type: Inner Join condition: None -(27) Project [codegen id : 6] -Output [3]: [cr_returning_customer_sk#16, cr_return_amt_inc_tax#18, ca_state#22] -Input [5]: [cr_returning_customer_sk#16, cr_returning_addr_sk#17, cr_return_amt_inc_tax#18, ca_address_sk#21, ca_state#22] - -(28) HashAggregate [codegen id : 6] -Input [3]: [cr_returning_customer_sk#16, cr_return_amt_inc_tax#18, ca_state#22] -Keys [2]: [cr_returning_customer_sk#16, ca_state#22] -Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#18))] -Aggregate Attributes [1]: [sum#23] -Results [3]: [cr_returning_customer_sk#16, ca_state#22, sum#24] - -(29) CometColumnarExchange -Input [3]: [cr_returning_customer_sk#16, ca_state#22, sum#24] -Arguments: hashpartitioning(cr_returning_customer_sk#16, ca_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(30) CometColumnarToRow [codegen id : 7] -Input [3]: [cr_returning_customer_sk#16, ca_state#22, sum#24] - -(31) HashAggregate [codegen id : 7] -Input [3]: [cr_returning_customer_sk#16, ca_state#22, sum#24] -Keys [2]: [cr_returning_customer_sk#16, ca_state#22] -Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#18))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#18))#12] -Results [2]: [ca_state#22 AS ctr_state#25, MakeDecimal(sum(UnscaledValue(cr_return_amt_inc_tax#18))#12,17,2) AS ctr_total_return#26] - -(32) HashAggregate [codegen id : 7] -Input [2]: [ctr_state#25, ctr_total_return#26] -Keys [1]: [ctr_state#25] -Functions [1]: [partial_avg(ctr_total_return#26)] -Aggregate Attributes [2]: [sum#27, count#28] -Results [3]: [ctr_state#25, sum#29, count#30] - -(33) CometColumnarExchange -Input [3]: [ctr_state#25, sum#29, count#30] -Arguments: hashpartitioning(ctr_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 8] -Input [3]: [ctr_state#25, sum#29, count#30] - -(35) HashAggregate [codegen id : 8] -Input [3]: [ctr_state#25, sum#29, count#30] -Keys [1]: [ctr_state#25] -Functions [1]: [avg(ctr_total_return#26)] -Aggregate Attributes [1]: [avg(ctr_total_return#26)#31] -Results [2]: [(avg(ctr_total_return#26)#31 * 1.2) AS (avg(ctr_total_return) * 1.2)#32, ctr_state#25] - -(36) Filter [codegen id : 8] -Input [2]: [(avg(ctr_total_return) * 1.2)#32, ctr_state#25] -Condition : isnotnull((avg(ctr_total_return) * 1.2)#32) - -(37) BroadcastExchange -Input [2]: [(avg(ctr_total_return) * 1.2)#32, ctr_state#25] -Arguments: HashedRelationBroadcastMode(List(input[1, string, true]),false), [plan_id=5] - -(38) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_state#14] -Right keys [1]: [ctr_state#25] -Join type: Inner -Join condition: (cast(ctr_total_return#15 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#32) - -(39) Project [codegen id : 11] -Output [2]: [ctr_customer_sk#13, ctr_total_return#15] -Input [5]: [ctr_customer_sk#13, ctr_state#14, ctr_total_return#15, (avg(ctr_total_return) * 1.2)#32, ctr_state#25] - -(40) CometNativeScan parquet spark_catalog.default.customer -Output [6]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38] +(26) Project [codegen id : 6] +Output [3]: [cr_returning_customer_sk#15, cr_return_amt_inc_tax#17, ca_state#21] +Input [5]: [cr_returning_customer_sk#15, cr_returning_addr_sk#16, cr_return_amt_inc_tax#17, ca_address_sk#20, ca_state#21] + +(27) HashAggregate [codegen id : 6] +Input [3]: [cr_returning_customer_sk#15, cr_return_amt_inc_tax#17, ca_state#21] +Keys [2]: [cr_returning_customer_sk#15, ca_state#21] +Functions [1]: [partial_sum(UnscaledValue(cr_return_amt_inc_tax#17))] +Aggregate Attributes [1]: [sum#22] +Results [3]: [cr_returning_customer_sk#15, ca_state#21, sum#23] + +(28) CometColumnarExchange +Input [3]: [cr_returning_customer_sk#15, ca_state#21, sum#23] +Arguments: hashpartitioning(cr_returning_customer_sk#15, ca_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(29) CometHashAggregate +Input [3]: [cr_returning_customer_sk#15, ca_state#21, sum#23] +Keys [2]: [cr_returning_customer_sk#15, ca_state#21] +Functions [1]: [sum(UnscaledValue(cr_return_amt_inc_tax#17))] + +(30) CometHashAggregate +Input [2]: [ctr_state#24, ctr_total_return#25] +Keys [1]: [ctr_state#24] +Functions [1]: [partial_avg(ctr_total_return#25)] + +(31) CometExchange +Input [3]: [ctr_state#24, sum#26, count#27] +Arguments: hashpartitioning(ctr_state#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(32) CometHashAggregate +Input [3]: [ctr_state#24, sum#26, count#27] +Keys [1]: [ctr_state#24] +Functions [1]: [avg(ctr_total_return#25)] + +(33) CometFilter +Input [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Condition : isnotnull((avg(ctr_total_return) * 1.2)#28) + +(34) CometBroadcastExchange +Input [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] + +(35) CometBroadcastHashJoin +Left output [3]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14] +Right output [2]: [(avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [ctr_state#13], [ctr_state#24], Inner, (cast(ctr_total_return#14 as decimal(24,7)) > (avg(ctr_total_return) * 1.2)#28), BuildRight + +(36) CometProject +Input [5]: [ctr_customer_sk#12, ctr_state#13, ctr_total_return#14, (avg(ctr_total_return) * 1.2)#28, ctr_state#24] +Arguments: [ctr_customer_sk#12, ctr_total_return#14], [ctr_customer_sk#12, ctr_total_return#14] + +(37) CometNativeScan parquet spark_catalog.default.customer +Output [6]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk), IsNotNull(c_current_addr_sk)] ReadSchema: struct -(41) CometFilter -Input [6]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38] -Condition : (isnotnull(c_customer_sk#33) AND isnotnull(c_current_addr_sk#35)) - -(42) CometProject -Input [6]: [c_customer_sk#33, c_customer_id#34, c_current_addr_sk#35, c_salutation#36, c_first_name#37, c_last_name#38] -Arguments: [c_customer_sk#33, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42], [c_customer_sk#33, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#34, 16)) AS c_customer_id#39, c_current_addr_sk#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#36, 10)) AS c_salutation#40, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#37, 20)) AS c_first_name#41, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#38, 30)) AS c_last_name#42] +(38) CometFilter +Input [6]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34] +Condition : (isnotnull(c_customer_sk#29) AND isnotnull(c_current_addr_sk#31)) -(43) CometColumnarToRow [codegen id : 9] -Input [6]: [c_customer_sk#33, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42] +(39) CometProject +Input [6]: [c_customer_sk#29, c_customer_id#30, c_current_addr_sk#31, c_salutation#32, c_first_name#33, c_last_name#34] +Arguments: [c_customer_sk#29, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38], [c_customer_sk#29, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#30, 16)) AS c_customer_id#35, c_current_addr_sk#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#32, 10)) AS c_salutation#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#33, 20)) AS c_first_name#37, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#34, 30)) AS c_last_name#38] -(44) BroadcastExchange -Input [6]: [c_customer_sk#33, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +(40) CometBroadcastExchange +Input [6]: [c_customer_sk#29, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] +Arguments: [c_customer_sk#29, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] -(45) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ctr_customer_sk#13] -Right keys [1]: [c_customer_sk#33] -Join type: Inner -Join condition: None +(41) CometBroadcastHashJoin +Left output [2]: [ctr_customer_sk#12, ctr_total_return#14] +Right output [6]: [c_customer_sk#29, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] +Arguments: [ctr_customer_sk#12], [c_customer_sk#29], Inner, BuildRight -(46) Project [codegen id : 11] -Output [6]: [ctr_total_return#15, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42] -Input [8]: [ctr_customer_sk#13, ctr_total_return#15, c_customer_sk#33, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42] +(42) CometProject +Input [8]: [ctr_customer_sk#12, ctr_total_return#14, c_customer_sk#29, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] +Arguments: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38], [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] -(47) CometNativeScan parquet spark_catalog.default.customer_address -Output [12]: [ca_address_sk#43, ca_street_number#44, ca_street_name#45, ca_street_type#46, ca_suite_number#47, ca_city#48, ca_county#49, ca_state#50, ca_zip#51, ca_country#52, ca_gmt_offset#53, ca_location_type#54] +(43) CometNativeScan parquet spark_catalog.default.customer_address +Output [12]: [ca_address_sk#39, ca_street_number#40, ca_street_name#41, ca_street_type#42, ca_suite_number#43, ca_city#44, ca_county#45, ca_state#46, ca_zip#47, ca_country#48, ca_gmt_offset#49, ca_location_type#50] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_state), IsNotNull(ca_address_sk)] ReadSchema: struct -(48) CometFilter -Input [12]: [ca_address_sk#43, ca_street_number#44, ca_street_name#45, ca_street_type#46, ca_suite_number#47, ca_city#48, ca_county#49, ca_state#50, ca_zip#51, ca_country#52, ca_gmt_offset#53, ca_location_type#54] -Condition : ((isnotnull(ca_state#50) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#50, 2)) = GA)) AND isnotnull(ca_address_sk#43)) +(44) CometFilter +Input [12]: [ca_address_sk#39, ca_street_number#40, ca_street_name#41, ca_street_type#42, ca_suite_number#43, ca_city#44, ca_county#45, ca_state#46, ca_zip#47, ca_country#48, ca_gmt_offset#49, ca_location_type#50] +Condition : ((isnotnull(ca_state#46) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#46, 2)) = GA)) AND isnotnull(ca_address_sk#39)) -(49) CometProject -Input [12]: [ca_address_sk#43, ca_street_number#44, ca_street_name#45, ca_street_type#46, ca_suite_number#47, ca_city#48, ca_county#49, ca_state#50, ca_zip#51, ca_country#52, ca_gmt_offset#53, ca_location_type#54] -Arguments: [ca_address_sk#43, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60], [ca_address_sk#43, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_street_number#44, 10)) AS ca_street_number#55, ca_street_name#45, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_street_type#46, 15)) AS ca_street_type#56, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_suite_number#47, 10)) AS ca_suite_number#57, ca_city#48, ca_county#49, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#50, 2)) AS ca_state#58, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_zip#51, 10)) AS ca_zip#59, ca_country#52, ca_gmt_offset#53, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_location_type#54, 20)) AS ca_location_type#60] +(45) CometProject +Input [12]: [ca_address_sk#39, ca_street_number#40, ca_street_name#41, ca_street_type#42, ca_suite_number#43, ca_city#44, ca_county#45, ca_state#46, ca_zip#47, ca_country#48, ca_gmt_offset#49, ca_location_type#50] +Arguments: [ca_address_sk#39, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56], [ca_address_sk#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_street_number#40, 10)) AS ca_street_number#51, ca_street_name#41, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_street_type#42, 15)) AS ca_street_type#52, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_suite_number#43, 10)) AS ca_suite_number#53, ca_city#44, ca_county#45, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#46, 2)) AS ca_state#54, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_zip#47, 10)) AS ca_zip#55, ca_country#48, ca_gmt_offset#49, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_location_type#50, 20)) AS ca_location_type#56] -(50) CometColumnarToRow [codegen id : 10] -Input [12]: [ca_address_sk#43, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60] +(46) CometBroadcastExchange +Input [12]: [ca_address_sk#39, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56] +Arguments: [ca_address_sk#39, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56] -(51) BroadcastExchange -Input [12]: [ca_address_sk#43, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +(47) CometBroadcastHashJoin +Left output [6]: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38] +Right output [12]: [ca_address_sk#39, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56] +Arguments: [c_current_addr_sk#31], [ca_address_sk#39], Inner, BuildRight -(52) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [c_current_addr_sk#35] -Right keys [1]: [ca_address_sk#43] -Join type: Inner -Join condition: None +(48) CometProject +Input [18]: [ctr_total_return#14, c_customer_id#35, c_current_addr_sk#31, c_salutation#36, c_first_name#37, c_last_name#38, ca_address_sk#39, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56] +Arguments: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14], [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14] -(53) Project [codegen id : 11] -Output [16]: [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60, ctr_total_return#15] -Input [18]: [ctr_total_return#15, c_customer_id#39, c_current_addr_sk#35, c_salutation#40, c_first_name#41, c_last_name#42, ca_address_sk#43, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60] +(49) CometTakeOrderedAndProject +Input [16]: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[c_customer_id#35 ASC NULLS FIRST,c_salutation#36 ASC NULLS FIRST,c_first_name#37 ASC NULLS FIRST,c_last_name#38 ASC NULLS FIRST,ca_street_number#51 ASC NULLS FIRST,ca_street_name#41 ASC NULLS FIRST,ca_street_type#52 ASC NULLS FIRST,ca_suite_number#53 ASC NULLS FIRST,ca_city#44 ASC NULLS FIRST,ca_county#45 ASC NULLS FIRST,ca_state#54 ASC NULLS FIRST,ca_zip#55 ASC NULLS FIRST,ca_country#48 ASC NULLS FIRST,ca_gmt_offset#49 ASC NULLS FIRST,ca_location_type#56 ASC NULLS FIRST,ctr_total_return#14 ASC NULLS FIRST], output=[c_customer_id#35,c_salutation#36,c_first_name#37,c_last_name#38,ca_street_number#51,ca_street_name#41,ca_street_type#52,ca_suite_number#53,ca_city#44,ca_county#45,ca_state#54,ca_zip#55,ca_country#48,ca_gmt_offset#49,ca_location_type#56,ctr_total_return#14]), [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14], 100, 0, [c_customer_id#35 ASC NULLS FIRST, c_salutation#36 ASC NULLS FIRST, c_first_name#37 ASC NULLS FIRST, c_last_name#38 ASC NULLS FIRST, ca_street_number#51 ASC NULLS FIRST, ca_street_name#41 ASC NULLS FIRST, ca_street_type#52 ASC NULLS FIRST, ca_suite_number#53 ASC NULLS FIRST, ca_city#44 ASC NULLS FIRST, ca_county#45 ASC NULLS FIRST, ca_state#54 ASC NULLS FIRST, ca_zip#55 ASC NULLS FIRST, ca_country#48 ASC NULLS FIRST, ca_gmt_offset#49 ASC NULLS FIRST, ca_location_type#56 ASC NULLS FIRST, ctr_total_return#14 ASC NULLS FIRST], [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14] -(54) TakeOrderedAndProject -Input [16]: [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60, ctr_total_return#15] -Arguments: 100, [c_customer_id#39 ASC NULLS FIRST, c_salutation#40 ASC NULLS FIRST, c_first_name#41 ASC NULLS FIRST, c_last_name#42 ASC NULLS FIRST, ca_street_number#55 ASC NULLS FIRST, ca_street_name#45 ASC NULLS FIRST, ca_street_type#56 ASC NULLS FIRST, ca_suite_number#57 ASC NULLS FIRST, ca_city#48 ASC NULLS FIRST, ca_county#49 ASC NULLS FIRST, ca_state#58 ASC NULLS FIRST, ca_zip#59 ASC NULLS FIRST, ca_country#52 ASC NULLS FIRST, ca_gmt_offset#53 ASC NULLS FIRST, ca_location_type#60 ASC NULLS FIRST, ctr_total_return#15 ASC NULLS FIRST], [c_customer_id#39, c_salutation#40, c_first_name#41, c_last_name#42, ca_street_number#55, ca_street_name#45, ca_street_type#56, ca_suite_number#57, ca_city#48, ca_county#49, ca_state#58, ca_zip#59, ca_country#52, ca_gmt_offset#53, ca_location_type#60, ctr_total_return#15] +(50) CometColumnarToRow [codegen id : 7] +Input [16]: [c_customer_id#35, c_salutation#36, c_first_name#37, c_last_name#38, ca_street_number#51, ca_street_name#41, ca_street_type#52, ca_suite_number#53, ca_city#44, ca_county#45, ca_state#54, ca_zip#55, ca_country#48, ca_gmt_offset#49, ca_location_type#56, ctr_total_return#14] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cr_returned_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (59) -+- * CometColumnarToRow (58) - +- CometProject (57) - +- CometFilter (56) - +- CometNativeScan parquet spark_catalog.default.date_dim (55) +BroadcastExchange (55) ++- * CometColumnarToRow (54) + +- CometProject (53) + +- CometFilter (52) + +- CometNativeScan parquet spark_catalog.default.date_dim (51) -(55) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_year#61] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_year#57] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(56) CometFilter -Input [2]: [d_date_sk#6, d_year#61] -Condition : ((isnotnull(d_year#61) AND (d_year#61 = 2000)) AND isnotnull(d_date_sk#6)) +(52) CometFilter +Input [2]: [d_date_sk#6, d_year#57] +Condition : ((isnotnull(d_year#57) AND (d_year#57 = 2000)) AND isnotnull(d_date_sk#6)) -(57) CometProject -Input [2]: [d_date_sk#6, d_year#61] +(53) CometProject +Input [2]: [d_date_sk#6, d_year#57] Arguments: [d_date_sk#6], [d_date_sk#6] -(58) CometColumnarToRow [codegen id : 1] +(54) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(59) BroadcastExchange +(55) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 19 Hosting Expression = cr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#18 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/extended.txt index 0e70ec42fa..cf6ffd404c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/extended.txt @@ -1,75 +1,71 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- Filter - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- CometBroadcastExchange +- CometProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 24 out of 61 eligible operators (39%). Final plan contains 12 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 40 out of 61 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/simplified.txt index da396ce8a9..01a6a89e7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q81.native_datafusion/simplified.txt @@ -1,15 +1,15 @@ -TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - WholeStageCodegen (11) - Project [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - BroadcastHashJoin [ctr_customer_sk,c_customer_sk] - Project [ctr_customer_sk,ctr_total_return] - BroadcastHashJoin [ctr_state,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2)] - Filter [ctr_total_return] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_customer_sk,ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type,ctr_total_return] + CometBroadcastHashJoin [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name,ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometProject [ctr_total_return,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastHashJoin [ctr_customer_sk,ctr_total_return,c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometProject [ctr_customer_sk,ctr_total_return] + CometBroadcastHashJoin [ctr_customer_sk,ctr_state,ctr_total_return,(avg(ctr_total_return) * 1.2),ctr_state] + CometFilter [ctr_customer_sk,ctr_state,ctr_total_return] + CometHashAggregate [sum] [ctr_customer_sk,ctr_state,ctr_total_return,cr_returning_customer_sk,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] CometColumnarExchange [cr_returning_customer_sk,ca_state] #1 WholeStageCodegen (3) HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] @@ -39,48 +39,33 @@ TakeOrderedAndProject [c_customer_id,c_salutation,c_first_name,c_last_name,ca_st CometProject [ca_state] [ca_address_sk,ca_state] CometFilter [ca_address_sk,ca_state] CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (8) - Filter [(avg(ctr_total_return) * 1.2)] - HashAggregate [ctr_state,sum,count] [avg(ctr_total_return),(avg(ctr_total_return) * 1.2),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ctr_state] #5 - WholeStageCodegen (7) - HashAggregate [ctr_state,ctr_total_return] [sum,count,sum,count] - HashAggregate [cr_returning_customer_sk,ca_state,sum] [sum(UnscaledValue(cr_return_amt_inc_tax)),ctr_state,ctr_total_return,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 - WholeStageCodegen (6) - HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] - Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] - BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] - Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Filter [cr_returning_addr_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - ReusedExchange [ca_address_sk,ca_state] #3 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometBroadcastExchange [(avg(ctr_total_return) * 1.2),ctr_state] #4 + CometFilter [(avg(ctr_total_return) * 1.2),ctr_state] + CometHashAggregate [sum,count] [(avg(ctr_total_return) * 1.2),ctr_state,avg(ctr_total_return)] + CometExchange [ctr_state] #5 + CometHashAggregate [ctr_total_return] [ctr_state,sum,count] + CometHashAggregate [cr_returning_customer_sk,sum] [ctr_state,ctr_total_return,ca_state,sum(UnscaledValue(cr_return_amt_inc_tax))] + CometColumnarExchange [cr_returning_customer_sk,ca_state] #6 + WholeStageCodegen (6) + HashAggregate [cr_returning_customer_sk,ca_state,cr_return_amt_inc_tax] [sum,sum] + Project [cr_returning_customer_sk,cr_return_amt_inc_tax,ca_state] + BroadcastHashJoin [cr_returning_addr_sk,ca_address_sk] + Project [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Filter [cr_returning_addr_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_returning_addr_sk,cr_return_amt_inc_tax,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #2 + InputAdapter + ReusedExchange [ca_address_sk,ca_state] #3 + CometBroadcastExchange [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] #7 + CometProject [c_customer_id,c_salutation,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_current_addr_sk,c_salutation,c_first_name,c_last_name] + CometBroadcastExchange [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] #8 + CometProject [ca_street_number,ca_street_type,ca_suite_number,ca_state,ca_zip,ca_location_type] [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometFilter [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_street_number,ca_street_name,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset,ca_location_type] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/explain.txt index 5b445f714a..662eba87d9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -TakeOrderedAndProject (50) -+- * Project (49) - +- * BroadcastHashJoin Inner BuildRight (48) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * HashAggregate (17) - : : +- * CometColumnarToRow (16) - : : +- CometColumnarExchange (15) - : : +- * HashAggregate (14) - : : +- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (10) - : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_returns (1) - : : : +- BroadcastExchange (8) - : : : +- * CometColumnarToRow (7) - : : : +- CometProject (6) - : : : +- CometFilter (5) - : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : +- ReusedExchange (11) - : +- BroadcastExchange (31) - : +- * HashAggregate (30) - : +- * CometColumnarToRow (29) - : +- CometColumnarExchange (28) - : +- * HashAggregate (27) - : +- * Project (26) - : +- * BroadcastHashJoin Inner BuildRight (25) - : :- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Filter (20) - : : : +- * ColumnarToRow (19) - : : : +- Scan parquet spark_catalog.default.catalog_returns (18) - : : +- ReusedExchange (21) - : +- ReusedExchange (24) - +- BroadcastExchange (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * Project (42) - +- * BroadcastHashJoin Inner BuildRight (41) - :- * Project (39) - : +- * BroadcastHashJoin Inner BuildRight (38) - : :- * Filter (36) - : : +- * ColumnarToRow (35) - : : +- Scan parquet spark_catalog.default.web_returns (34) - : +- ReusedExchange (37) - +- ReusedExchange (40) +* CometColumnarToRow (48) ++- CometTakeOrderedAndProject (47) + +- CometProject (46) + +- CometBroadcastHashJoin (45) + :- CometProject (31) + : +- CometBroadcastHashJoin (30) + : :- CometHashAggregate (16) + : : +- CometColumnarExchange (15) + : : +- * HashAggregate (14) + : : +- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (10) + : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_returns (1) + : : : +- BroadcastExchange (8) + : : : +- * CometColumnarToRow (7) + : : : +- CometProject (6) + : : : +- CometFilter (5) + : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : +- ReusedExchange (11) + : +- CometBroadcastExchange (29) + : +- CometHashAggregate (28) + : +- CometColumnarExchange (27) + : +- * HashAggregate (26) + : +- * Project (25) + : +- * BroadcastHashJoin Inner BuildRight (24) + : :- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Filter (19) + : : : +- * ColumnarToRow (18) + : : : +- Scan parquet spark_catalog.default.catalog_returns (17) + : : +- ReusedExchange (20) + : +- ReusedExchange (23) + +- CometBroadcastExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * Filter (34) + : : +- * ColumnarToRow (33) + : : +- Scan parquet spark_catalog.default.web_returns (32) + : +- ReusedExchange (35) + +- ReusedExchange (38) (1) Scan parquet spark_catalog.default.store_returns @@ -98,7 +96,7 @@ Join condition: None Output [3]: [sr_return_quantity#2, sr_returned_date_sk#3, i_item_id#7] Input [5]: [sr_item_sk#1, sr_return_quantity#2, sr_returned_date_sk#3, i_item_sk#5, i_item_id#7] -(11) ReusedExchange [Reuses operator id: 64] +(11) ReusedExchange [Reuses operator id: 62] Output [1]: [d_date_sk#8] (12) BroadcastHashJoin [codegen id : 3] @@ -122,258 +120,244 @@ Results [2]: [i_item_id#7, sum#10] Input [2]: [i_item_id#7, sum#10] Arguments: hashpartitioning(i_item_id#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 12] -Input [2]: [i_item_id#7, sum#10] - -(17) HashAggregate [codegen id : 12] +(16) CometHashAggregate Input [2]: [i_item_id#7, sum#10] Keys [1]: [i_item_id#7] Functions [1]: [sum(sr_return_quantity#2)] -Aggregate Attributes [1]: [sum(sr_return_quantity#2)#11] -Results [2]: [i_item_id#7 AS item_id#12, sum(sr_return_quantity#2)#11 AS sr_item_qty#13] -(18) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(17) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#16), dynamicpruningexpression(cr_returned_date_sk#16 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(cr_returned_date_sk#13), dynamicpruningexpression(cr_returned_date_sk#13 IN dynamicpruning#4)] PushedFilters: [IsNotNull(cr_item_sk)] ReadSchema: struct -(19) ColumnarToRow [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] +(18) ColumnarToRow [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] -(20) Filter [codegen id : 6] -Input [3]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16] -Condition : isnotnull(cr_item_sk#14) +(19) Filter [codegen id : 6] +Input [3]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13] +Condition : isnotnull(cr_item_sk#11) -(21) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#17, i_item_id#18] +(20) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#14, i_item_id#15] -(22) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_item_sk#14] -Right keys [1]: [i_item_sk#17] +(21) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_item_sk#11] +Right keys [1]: [i_item_sk#14] Join type: Inner Join condition: None -(23) Project [codegen id : 6] -Output [3]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#18] -Input [5]: [cr_item_sk#14, cr_return_quantity#15, cr_returned_date_sk#16, i_item_sk#17, i_item_id#18] - -(24) ReusedExchange [Reuses operator id: 64] -Output [1]: [d_date_sk#19] +(22) Project [codegen id : 6] +Output [3]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#15] +Input [5]: [cr_item_sk#11, cr_return_quantity#12, cr_returned_date_sk#13, i_item_sk#14, i_item_id#15] -(25) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [cr_returned_date_sk#16] -Right keys [1]: [d_date_sk#19] -Join type: Inner -Join condition: None +(23) ReusedExchange [Reuses operator id: 62] +Output [1]: [d_date_sk#16] -(26) Project [codegen id : 6] -Output [2]: [cr_return_quantity#15, i_item_id#18] -Input [4]: [cr_return_quantity#15, cr_returned_date_sk#16, i_item_id#18, d_date_sk#19] - -(27) HashAggregate [codegen id : 6] -Input [2]: [cr_return_quantity#15, i_item_id#18] -Keys [1]: [i_item_id#18] -Functions [1]: [partial_sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum#20] -Results [2]: [i_item_id#18, sum#21] - -(28) CometColumnarExchange -Input [2]: [i_item_id#18, sum#21] -Arguments: hashpartitioning(i_item_id#18, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(29) CometColumnarToRow [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] - -(30) HashAggregate [codegen id : 7] -Input [2]: [i_item_id#18, sum#21] -Keys [1]: [i_item_id#18] -Functions [1]: [sum(cr_return_quantity#15)] -Aggregate Attributes [1]: [sum(cr_return_quantity#15)#22] -Results [2]: [i_item_id#18 AS item_id#23, sum(cr_return_quantity#15)#22 AS cr_item_qty#24] - -(31) BroadcastExchange -Input [2]: [item_id#23, cr_item_qty#24] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=4] - -(32) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#23] +(24) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [cr_returned_date_sk#13] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(33) Project [codegen id : 12] -Output [3]: [item_id#12, sr_item_qty#13, cr_item_qty#24] -Input [4]: [item_id#12, sr_item_qty#13, item_id#23, cr_item_qty#24] - -(34) Scan parquet spark_catalog.default.web_returns -Output [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] +(25) Project [codegen id : 6] +Output [2]: [cr_return_quantity#12, i_item_id#15] +Input [4]: [cr_return_quantity#12, cr_returned_date_sk#13, i_item_id#15, d_date_sk#16] + +(26) HashAggregate [codegen id : 6] +Input [2]: [cr_return_quantity#12, i_item_id#15] +Keys [1]: [i_item_id#15] +Functions [1]: [partial_sum(cr_return_quantity#12)] +Aggregate Attributes [1]: [sum#17] +Results [2]: [i_item_id#15, sum#18] + +(27) CometColumnarExchange +Input [2]: [i_item_id#15, sum#18] +Arguments: hashpartitioning(i_item_id#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(28) CometHashAggregate +Input [2]: [i_item_id#15, sum#18] +Keys [1]: [i_item_id#15] +Functions [1]: [sum(cr_return_quantity#12)] + +(29) CometBroadcastExchange +Input [2]: [item_id#19, cr_item_qty#20] +Arguments: [item_id#19, cr_item_qty#20] + +(30) CometBroadcastHashJoin +Left output [2]: [item_id#21, sr_item_qty#22] +Right output [2]: [item_id#19, cr_item_qty#20] +Arguments: [item_id#21], [item_id#19], Inner, BuildRight + +(31) CometProject +Input [4]: [item_id#21, sr_item_qty#22, item_id#19, cr_item_qty#20] +Arguments: [item_id#21, sr_item_qty#22, cr_item_qty#20], [item_id#21, sr_item_qty#22, cr_item_qty#20] + +(32) Scan parquet spark_catalog.default.web_returns +Output [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#27), dynamicpruningexpression(wr_returned_date_sk#27 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(wr_returned_date_sk#25), dynamicpruningexpression(wr_returned_date_sk#25 IN dynamicpruning#4)] PushedFilters: [IsNotNull(wr_item_sk)] ReadSchema: struct -(35) ColumnarToRow [codegen id : 10] -Input [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] +(33) ColumnarToRow [codegen id : 9] +Input [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] -(36) Filter [codegen id : 10] -Input [3]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27] -Condition : isnotnull(wr_item_sk#25) +(34) Filter [codegen id : 9] +Input [3]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25] +Condition : isnotnull(wr_item_sk#23) -(37) ReusedExchange [Reuses operator id: 8] -Output [2]: [i_item_sk#28, i_item_id#29] +(35) ReusedExchange [Reuses operator id: 8] +Output [2]: [i_item_sk#26, i_item_id#27] -(38) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_item_sk#25] -Right keys [1]: [i_item_sk#28] +(36) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_item_sk#23] +Right keys [1]: [i_item_sk#26] Join type: Inner Join condition: None -(39) Project [codegen id : 10] -Output [3]: [wr_return_quantity#26, wr_returned_date_sk#27, i_item_id#29] -Input [5]: [wr_item_sk#25, wr_return_quantity#26, wr_returned_date_sk#27, i_item_sk#28, i_item_id#29] +(37) Project [codegen id : 9] +Output [3]: [wr_return_quantity#24, wr_returned_date_sk#25, i_item_id#27] +Input [5]: [wr_item_sk#23, wr_return_quantity#24, wr_returned_date_sk#25, i_item_sk#26, i_item_id#27] -(40) ReusedExchange [Reuses operator id: 64] -Output [1]: [d_date_sk#30] +(38) ReusedExchange [Reuses operator id: 62] +Output [1]: [d_date_sk#28] -(41) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [wr_returned_date_sk#27] -Right keys [1]: [d_date_sk#30] +(39) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [wr_returned_date_sk#25] +Right keys [1]: [d_date_sk#28] Join type: Inner Join condition: None -(42) Project [codegen id : 10] -Output [2]: [wr_return_quantity#26, i_item_id#29] -Input [4]: [wr_return_quantity#26, wr_returned_date_sk#27, i_item_id#29, d_date_sk#30] - -(43) HashAggregate [codegen id : 10] -Input [2]: [wr_return_quantity#26, i_item_id#29] -Keys [1]: [i_item_id#29] -Functions [1]: [partial_sum(wr_return_quantity#26)] -Aggregate Attributes [1]: [sum#31] -Results [2]: [i_item_id#29, sum#32] - -(44) CometColumnarExchange -Input [2]: [i_item_id#29, sum#32] -Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(45) CometColumnarToRow [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] - -(46) HashAggregate [codegen id : 11] -Input [2]: [i_item_id#29, sum#32] -Keys [1]: [i_item_id#29] -Functions [1]: [sum(wr_return_quantity#26)] -Aggregate Attributes [1]: [sum(wr_return_quantity#26)#33] -Results [2]: [i_item_id#29 AS item_id#34, sum(wr_return_quantity#26)#33 AS wr_item_qty#35] - -(47) BroadcastExchange -Input [2]: [item_id#34, wr_item_qty#35] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=6] - -(48) BroadcastHashJoin [codegen id : 12] -Left keys [1]: [item_id#12] -Right keys [1]: [item_id#34] -Join type: Inner -Join condition: None +(40) Project [codegen id : 9] +Output [2]: [wr_return_quantity#24, i_item_id#27] +Input [4]: [wr_return_quantity#24, wr_returned_date_sk#25, i_item_id#27, d_date_sk#28] -(49) Project [codegen id : 12] -Output [8]: [item_id#12, sr_item_qty#13, (((cast(sr_item_qty#13 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS sr_dev#36, cr_item_qty#24, (((cast(cr_item_qty#24 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS cr_dev#37, wr_item_qty#35, (((cast(wr_item_qty#35 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as double)))) / 3.0) * 100.0) AS wr_dev#38, (cast(((sr_item_qty#13 + cr_item_qty#24) + wr_item_qty#35) as decimal(20,0)) / 3.0) AS average#39] -Input [5]: [item_id#12, sr_item_qty#13, cr_item_qty#24, item_id#34, wr_item_qty#35] +(41) HashAggregate [codegen id : 9] +Input [2]: [wr_return_quantity#24, i_item_id#27] +Keys [1]: [i_item_id#27] +Functions [1]: [partial_sum(wr_return_quantity#24)] +Aggregate Attributes [1]: [sum#29] +Results [2]: [i_item_id#27, sum#30] -(50) TakeOrderedAndProject -Input [8]: [item_id#12, sr_item_qty#13, sr_dev#36, cr_item_qty#24, cr_dev#37, wr_item_qty#35, wr_dev#38, average#39] -Arguments: 100, [item_id#12 ASC NULLS FIRST, sr_item_qty#13 ASC NULLS FIRST], [item_id#12, sr_item_qty#13, sr_dev#36, cr_item_qty#24, cr_dev#37, wr_item_qty#35, wr_dev#38, average#39] +(42) CometColumnarExchange +Input [2]: [i_item_id#27, sum#30] +Arguments: hashpartitioning(i_item_id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -===== Subqueries ===== +(43) CometHashAggregate +Input [2]: [i_item_id#27, sum#30] +Keys [1]: [i_item_id#27] +Functions [1]: [sum(wr_return_quantity#24)] -Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (64) -+- * CometColumnarToRow (63) - +- CometProject (62) - +- CometBroadcastHashJoin (61) - :- CometFilter (52) - : +- CometNativeScan parquet spark_catalog.default.date_dim (51) - +- CometBroadcastExchange (60) - +- CometProject (59) - +- CometBroadcastHashJoin (58) - :- CometNativeScan parquet spark_catalog.default.date_dim (53) - +- CometBroadcastExchange (57) - +- CometProject (56) - +- CometFilter (55) - +- CometNativeScan parquet spark_catalog.default.date_dim (54) +(44) CometBroadcastExchange +Input [2]: [item_id#31, wr_item_qty#32] +Arguments: [item_id#31, wr_item_qty#32] +(45) CometBroadcastHashJoin +Left output [3]: [item_id#21, sr_item_qty#22, cr_item_qty#20] +Right output [2]: [item_id#31, wr_item_qty#32] +Arguments: [item_id#21], [item_id#31], Inner, BuildRight -(51) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#8, d_date#40] +(46) CometProject +Input [5]: [item_id#21, sr_item_qty#22, cr_item_qty#20, item_id#31, wr_item_qty#32] +Arguments: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36], [item_id#21, sr_item_qty#22, (((cast(sr_item_qty#22 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS sr_dev#33, cr_item_qty#20, (((cast(cr_item_qty#20 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS cr_dev#34, wr_item_qty#32, (((cast(wr_item_qty#32 as double) / knownfloatingpointnormalized(normalizenanandzero(cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as double)))) / 3.0) * 100.0) AS wr_dev#35, (cast(((sr_item_qty#22 + cr_item_qty#20) + wr_item_qty#32) as decimal(20,0)) / 3.0) AS average#36] + +(47) CometTakeOrderedAndProject +Input [8]: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[item_id#21 ASC NULLS FIRST,sr_item_qty#22 ASC NULLS FIRST], output=[item_id#21,sr_item_qty#22,sr_dev#33,cr_item_qty#20,cr_dev#34,wr_item_qty#32,wr_dev#35,average#36]), [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36], 100, 0, [item_id#21 ASC NULLS FIRST, sr_item_qty#22 ASC NULLS FIRST], [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] + +(48) CometColumnarToRow [codegen id : 10] +Input [8]: [item_id#21, sr_item_qty#22, sr_dev#33, cr_item_qty#20, cr_dev#34, wr_item_qty#32, wr_dev#35, average#36] + +===== Subqueries ===== + +Subquery:1 Hosting operator id = 1 Hosting Expression = sr_returned_date_sk#3 IN dynamicpruning#4 +BroadcastExchange (62) ++- * CometColumnarToRow (61) + +- CometProject (60) + +- CometBroadcastHashJoin (59) + :- CometFilter (50) + : +- CometNativeScan parquet spark_catalog.default.date_dim (49) + +- CometBroadcastExchange (58) + +- CometProject (57) + +- CometBroadcastHashJoin (56) + :- CometNativeScan parquet spark_catalog.default.date_dim (51) + +- CometBroadcastExchange (55) + +- CometProject (54) + +- CometFilter (53) + +- CometNativeScan parquet spark_catalog.default.date_dim (52) + + +(49) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#8, d_date#37] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date_sk)] ReadSchema: struct -(52) CometFilter -Input [2]: [d_date_sk#8, d_date#40] +(50) CometFilter +Input [2]: [d_date_sk#8, d_date#37] Condition : isnotnull(d_date_sk#8) -(53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#41, d_week_seq#42] +(51) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#38, d_week_seq#39] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] ReadSchema: struct -(54) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date#43, d_week_seq#44] +(52) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date#40, d_week_seq#41] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [In(d_date, [2000-06-30,2000-09-27,2000-11-17])] ReadSchema: struct -(55) CometFilter -Input [2]: [d_date#43, d_week_seq#44] -Condition : d_date#43 IN (2000-06-30,2000-09-27,2000-11-17) +(53) CometFilter +Input [2]: [d_date#40, d_week_seq#41] +Condition : d_date#40 IN (2000-06-30,2000-09-27,2000-11-17) -(56) CometProject -Input [2]: [d_date#43, d_week_seq#44] -Arguments: [d_week_seq#44], [d_week_seq#44] +(54) CometProject +Input [2]: [d_date#40, d_week_seq#41] +Arguments: [d_week_seq#41], [d_week_seq#41] -(57) CometBroadcastExchange -Input [1]: [d_week_seq#44] -Arguments: [d_week_seq#44] +(55) CometBroadcastExchange +Input [1]: [d_week_seq#41] +Arguments: [d_week_seq#41] -(58) CometBroadcastHashJoin -Left output [2]: [d_date#41, d_week_seq#42] -Right output [1]: [d_week_seq#44] -Arguments: [d_week_seq#42], [d_week_seq#44], LeftSemi, BuildRight +(56) CometBroadcastHashJoin +Left output [2]: [d_date#38, d_week_seq#39] +Right output [1]: [d_week_seq#41] +Arguments: [d_week_seq#39], [d_week_seq#41], LeftSemi, BuildRight -(59) CometProject -Input [2]: [d_date#41, d_week_seq#42] -Arguments: [d_date#41], [d_date#41] +(57) CometProject +Input [2]: [d_date#38, d_week_seq#39] +Arguments: [d_date#38], [d_date#38] -(60) CometBroadcastExchange -Input [1]: [d_date#41] -Arguments: [d_date#41] +(58) CometBroadcastExchange +Input [1]: [d_date#38] +Arguments: [d_date#38] -(61) CometBroadcastHashJoin -Left output [2]: [d_date_sk#8, d_date#40] -Right output [1]: [d_date#41] -Arguments: [d_date#40], [d_date#41], LeftSemi, BuildRight +(59) CometBroadcastHashJoin +Left output [2]: [d_date_sk#8, d_date#37] +Right output [1]: [d_date#38] +Arguments: [d_date#37], [d_date#38], LeftSemi, BuildRight -(62) CometProject -Input [2]: [d_date_sk#8, d_date#40] +(60) CometProject +Input [2]: [d_date_sk#8, d_date#37] Arguments: [d_date_sk#8], [d_date_sk#8] -(63) CometColumnarToRow [codegen id : 1] +(61) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#8] -(64) BroadcastExchange +(62) BroadcastExchange Input [1]: [d_date_sk#8] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 18 Hosting Expression = cr_returned_date_sk#16 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 17 Hosting Expression = cr_returned_date_sk#13 IN dynamicpruning#4 -Subquery:3 Hosting operator id = 34 Hosting Expression = wr_returned_date_sk#27 IN dynamicpruning#4 +Subquery:3 Hosting operator id = 32 Hosting Expression = wr_returned_date_sk#25 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/extended.txt index 1cb87c7eb1..66f18ef7ea 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/extended.txt @@ -1,88 +1,86 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -113,4 +111,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 60 out of 101 eligible operators (59%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 70 out of 101 eligible operators (69%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/simplified.txt index 0673c590f5..728dd68dd8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q83.ansi.native_datafusion/simplified.txt @@ -1,12 +1,12 @@ -TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] - WholeStageCodegen (12) - Project [item_id,sr_item_qty,cr_item_qty,wr_item_qty] - BroadcastHashJoin [item_id,item_id] - Project [item_id,sr_item_qty,cr_item_qty] - BroadcastHashJoin [item_id,item_id] - HashAggregate [i_item_id,sum] [sum(sr_return_quantity),item_id,sr_item_qty,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty,wr_dev,average] + CometBroadcastHashJoin [item_id,sr_item_qty,cr_item_qty,item_id,wr_item_qty] + CometProject [item_id,sr_item_qty,cr_item_qty] + CometBroadcastHashJoin [item_id,sr_item_qty,item_id,cr_item_qty] + CometHashAggregate [sum] [item_id,sr_item_qty,i_item_id,sum(sr_return_quantity)] CometColumnarExchange [i_item_id] #1 WholeStageCodegen (3) HashAggregate [i_item_id,sr_return_quantity] [sum,sum] @@ -45,47 +45,39 @@ TakeOrderedAndProject [item_id,sr_item_qty,sr_dev,cr_item_qty,cr_dev,wr_item_qty CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [i_item_id,sum] [sum(cr_return_quantity),item_id,cr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #7 - WholeStageCodegen (6) - HashAggregate [i_item_id,cr_return_quantity] [sum,sum] - Project [cr_return_quantity,i_item_id] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cr_return_quantity,cr_returned_date_sk,i_item_id] - BroadcastHashJoin [cr_item_sk,i_item_sk] - Filter [cr_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [i_item_sk,i_item_id] #5 - InputAdapter - ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [i_item_id,sum] [sum(wr_return_quantity),item_id,wr_item_qty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id] #9 - WholeStageCodegen (10) - HashAggregate [i_item_id,wr_return_quantity] [sum,sum] - Project [wr_return_quantity,i_item_id] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Project [wr_return_quantity,wr_returned_date_sk,i_item_id] - BroadcastHashJoin [wr_item_sk,i_item_sk] - Filter [wr_item_sk] + CometBroadcastExchange [item_id,cr_item_qty] #6 + CometHashAggregate [sum] [item_id,cr_item_qty,i_item_id,sum(cr_return_quantity)] + CometColumnarExchange [i_item_id] #7 + WholeStageCodegen (6) + HashAggregate [i_item_id,cr_return_quantity] [sum,sum] + Project [cr_return_quantity,i_item_id] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cr_return_quantity,cr_returned_date_sk,i_item_id] + BroadcastHashJoin [cr_item_sk,i_item_sk] + Filter [cr_item_sk] ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] + Scan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_return_quantity,cr_returned_date_sk] ReusedSubquery [d_date_sk] #1 InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 InputAdapter ReusedExchange [d_date_sk] #2 + CometBroadcastExchange [item_id,wr_item_qty] #8 + CometHashAggregate [sum] [item_id,wr_item_qty,i_item_id,sum(wr_return_quantity)] + CometColumnarExchange [i_item_id] #9 + WholeStageCodegen (9) + HashAggregate [i_item_id,wr_return_quantity] [sum,sum] + Project [wr_return_quantity,i_item_id] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Project [wr_return_quantity,wr_returned_date_sk,i_item_id] + BroadcastHashJoin [wr_item_sk,i_item_sk] + Filter [wr_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_return_quantity,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [i_item_sk,i_item_id] #5 + InputAdapter + ReusedExchange [d_date_sk] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/explain.txt index ea154af6c8..ce04f4b2e4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (52) -+- * HashAggregate (51) - +- * CometColumnarToRow (50) +* CometColumnarToRow (52) ++- CometTakeOrderedAndProject (51) + +- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -280,19 +280,17 @@ Results [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, coun Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Arguments: hashpartitioning(r_reason_desc#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(50) CometColumnarToRow [codegen id : 9] -Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] - -(51) HashAggregate [codegen id : 9] +(50) CometHashAggregate Input [7]: [r_reason_desc#36, sum#43, count#44, sum#45, count#46, sum#47, count#48] Keys [1]: [r_reason_desc#36] Functions [3]: [avg(ws_quantity#4), avg(UnscaledValue(wr_refunded_cash#16)), avg(UnscaledValue(wr_fee#15))] -Aggregate Attributes [3]: [avg(ws_quantity#4)#49, avg(UnscaledValue(wr_refunded_cash#16))#50, avg(UnscaledValue(wr_fee#15))#51] -Results [4]: [substr(r_reason_desc#36, 1, 20) AS substr(r_reason_desc, 1, 20)#52, avg(ws_quantity#4)#49 AS avg(ws_quantity)#53, cast((avg(UnscaledValue(wr_refunded_cash#16))#50 / 100.0) as decimal(11,6)) AS avg(wr_refunded_cash)#54, cast((avg(UnscaledValue(wr_fee#15))#51 / 100.0) as decimal(11,6)) AS avg(wr_fee)#55] -(52) TakeOrderedAndProject -Input [4]: [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] -Arguments: 100, [substr(r_reason_desc, 1, 20)#52 ASC NULLS FIRST, avg(ws_quantity)#53 ASC NULLS FIRST, avg(wr_refunded_cash)#54 ASC NULLS FIRST, avg(wr_fee)#55 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#52, avg(ws_quantity)#53, avg(wr_refunded_cash)#54, avg(wr_fee)#55] +(51) CometTakeOrderedAndProject +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST,avg(ws_quantity)#50 ASC NULLS FIRST,avg(wr_refunded_cash)#51 ASC NULLS FIRST,avg(wr_fee)#52 ASC NULLS FIRST], output=[substr(r_reason_desc, 1, 20)#49,avg(ws_quantity)#50,avg(wr_refunded_cash)#51,avg(wr_fee)#52]), [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52], 100, 0, [substr(r_reason_desc, 1, 20)#49 ASC NULLS FIRST, avg(ws_quantity)#50 ASC NULLS FIRST, avg(wr_refunded_cash)#51 ASC NULLS FIRST, avg(wr_fee)#52 ASC NULLS FIRST], [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] + +(52) CometColumnarToRow [codegen id : 9] +Input [4]: [substr(r_reason_desc, 1, 20)#49, avg(ws_quantity)#50, avg(wr_refunded_cash)#51, avg(wr_fee)#52] ===== Subqueries ===== @@ -305,18 +303,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#33, d_year#56] +Output [2]: [d_date_sk#33, d_year#53] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [2]: [d_date_sk#33, d_year#56] -Condition : ((isnotnull(d_year#56) AND (d_year#56 = 2000)) AND isnotnull(d_date_sk#33)) +Input [2]: [d_date_sk#33, d_year#53] +Condition : ((isnotnull(d_year#53) AND (d_year#53 = 2000)) AND isnotnull(d_date_sk#33)) (55) CometProject -Input [2]: [d_date_sk#33, d_year#56] +Input [2]: [d_date_sk#33, d_year#53] Arguments: [d_date_sk#33], [d_date_sk#33] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/extended.txt index 7f8b90a86c..48f7ff9477 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -61,4 +61,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.reason -Comet accelerated 24 out of 52 eligible operators (46%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 26 out of 52 eligible operators (50%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/simplified.txt index 68d46e608d..67f1e8c2d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q85.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] - WholeStageCodegen (9) - HashAggregate [r_reason_desc,sum,count,sum,count,sum,count] [avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee)),substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (9) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee)] + CometHashAggregate [sum,count,sum,count,sum,count] [substr(r_reason_desc, 1, 20),avg(ws_quantity),avg(wr_refunded_cash),avg(wr_fee),r_reason_desc,avg(ws_quantity),avg(UnscaledValue(wr_refunded_cash)),avg(UnscaledValue(wr_fee))] CometColumnarExchange [r_reason_desc] #1 WholeStageCodegen (8) HashAggregate [r_reason_desc,ws_quantity,wr_refunded_cash,wr_fee] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/explain.txt index 829abbaec4..048c21185c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/explain.txt @@ -1,28 +1,27 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * Project (23) - +- Window (22) - +- * CometColumnarToRow (21) - +- CometSort (20) - +- CometColumnarExchange (19) - +- * HashAggregate (18) - +- * CometColumnarToRow (17) - +- CometColumnarExchange (16) - +- * HashAggregate (15) - +- * Expand (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (6) - : +- * BroadcastHashJoin Inner BuildRight (5) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- ReusedExchange (4) - +- BroadcastExchange (11) - +- * CometColumnarToRow (10) - +- CometProject (9) - +- CometFilter (8) - +- CometNativeScan parquet spark_catalog.default.item (7) +TakeOrderedAndProject (23) ++- * Project (22) + +- Window (21) + +- * CometColumnarToRow (20) + +- CometSort (19) + +- CometExchange (18) + +- CometHashAggregate (17) + +- CometColumnarExchange (16) + +- * HashAggregate (15) + +- * Expand (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (6) + : +- * BroadcastHashJoin Inner BuildRight (5) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- ReusedExchange (4) + +- BroadcastExchange (11) + +- * CometColumnarToRow (10) + +- CometProject (9) + +- CometFilter (8) + +- CometNativeScan parquet spark_catalog.default.item (7) (1) Scan parquet spark_catalog.default.web_sales @@ -40,7 +39,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 29] +(4) ReusedExchange [Reuses operator id: 28] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -100,68 +99,63 @@ Results [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Arguments: hashpartitioning(i_category#11, i_class#12, spark_grouping_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [4]: [i_category#11, i_class#12, spark_grouping_id#13, sum#15] Keys [3]: [i_category#11, i_class#12, spark_grouping_id#13] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#16] -Results [7]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS total_sum#17, i_category#11, i_class#12, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS lochierarchy#18, MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#16,17,2) AS _w0#19, (cast((shiftright(spark_grouping_id#13, 1) & 1) as tinyint) + cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint)) AS _w1#20, CASE WHEN (cast((shiftright(spark_grouping_id#13, 0) & 1) as tinyint) = 0) THEN i_category#11 END AS _w2#21] -(19) CometColumnarExchange -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: hashpartitioning(_w1#20, _w2#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: hashpartitioning(_w1#19, _w2#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21], [_w1#20 ASC NULLS FIRST, _w2#21 ASC NULLS FIRST, _w0#19 DESC NULLS LAST] +(19) CometSort +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20], [_w1#19 ASC NULLS FIRST, _w2#20 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] -(21) CometColumnarToRow [codegen id : 5] -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] +(20) CometColumnarToRow [codegen id : 4] +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] -(22) Window -Input [7]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21] -Arguments: [rank(_w0#19) windowspecdefinition(_w1#20, _w2#21, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#22], [_w1#20, _w2#21], [_w0#19 DESC NULLS LAST] +(21) Window +Input [7]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20] +Arguments: [rank(_w0#18) windowspecdefinition(_w1#19, _w2#20, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#21], [_w1#19, _w2#20], [_w0#18 DESC NULLS LAST] -(23) Project [codegen id : 6] -Output [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Input [8]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, _w0#19, _w1#20, _w2#21, rank_within_parent#22] +(22) Project [codegen id : 5] +Output [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Input [8]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, _w0#18, _w1#19, _w2#20, rank_within_parent#21] -(24) TakeOrderedAndProject -Input [5]: [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] -Arguments: 100, [lochierarchy#18 DESC NULLS LAST, CASE WHEN (lochierarchy#18 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#22 ASC NULLS FIRST], [total_sum#17, i_category#11, i_class#12, lochierarchy#18, rank_within_parent#22] +(23) TakeOrderedAndProject +Input [5]: [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] +Arguments: 100, [lochierarchy#17 DESC NULLS LAST, CASE WHEN (lochierarchy#17 = 0) THEN i_category#11 END ASC NULLS FIRST, rank_within_parent#21 ASC NULLS FIRST], [total_sum#16, i_category#11, i_class#12, lochierarchy#17, rank_within_parent#21] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (29) -+- * CometColumnarToRow (28) - +- CometProject (27) - +- CometFilter (26) - +- CometNativeScan parquet spark_catalog.default.date_dim (25) +BroadcastExchange (28) ++- * CometColumnarToRow (27) + +- CometProject (26) + +- CometFilter (25) + +- CometNativeScan parquet spark_catalog.default.date_dim (24) -(25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#23] +(24) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#22] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct -(26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#23] -Condition : (((isnotnull(d_month_seq#23) AND (d_month_seq#23 >= 1200)) AND (d_month_seq#23 <= 1211)) AND isnotnull(d_date_sk#5)) +(25) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#22] +Condition : (((isnotnull(d_month_seq#22) AND (d_month_seq#22 >= 1200)) AND (d_month_seq#22 <= 1211)) AND isnotnull(d_date_sk#5)) -(27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#23] +(26) CometProject +Input [2]: [d_date_sk#5, d_month_seq#22] Arguments: [d_date_sk#5], [d_date_sk#5] -(28) CometColumnarToRow [codegen id : 1] +(27) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(29) BroadcastExchange +(28) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/extended.txt index 41081debd9..159a2b1c71 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/extended.txt @@ -3,34 +3,33 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Expand - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Expand + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 12 out of 28 eligible operators (42%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/simplified.txt index 0b24fe234a..0805c3bdab 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q86.native_datafusion/simplified.txt @@ -1,44 +1,41 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [_w0,_w1,_w2] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2] - CometColumnarExchange [_w1,_w2] #1 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,spark_grouping_id,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,lochierarchy,_w0,_w1,_w2,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] - Expand [ws_net_paid,i_category,i_class] - Project [ws_net_paid,i_category,i_class] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometExchange [_w1,_w2] #1 + CometHashAggregate [sum] [total_sum,i_category,i_class,lochierarchy,_w0,_w1,_w2,sum(UnscaledValue(ws_net_paid)),spark_grouping_id] + CometColumnarExchange [i_category,i_class,spark_grouping_id] #2 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,spark_grouping_id,ws_net_paid] [sum,sum] + Expand [ws_net_paid,i_category,i_class] + Project [ws_net_paid,i_category,i_class] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/explain.txt index 4742064612..fe1b33d73a 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (52) -+- * CometColumnarToRow (51) +* CometColumnarToRow (52) ++- CometHashAggregate (51) +- CometColumnarExchange (50) +- * HashAggregate (49) +- * Project (48) @@ -287,15 +287,13 @@ Results [1]: [count#26] Input [1]: [count#26] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(51) CometColumnarToRow [codegen id : 13] -Input [1]: [count#26] - -(52) HashAggregate [codegen id : 13] +(51) CometHashAggregate Input [1]: [count#26] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#27] -Results [1]: [count(1)#27 AS count(1)#28] + +(52) CometColumnarToRow [codegen id : 13] +Input [1]: [count(1)#27] ===== Subqueries ===== @@ -308,18 +306,18 @@ BroadcastExchange (57) (53) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Output [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (54) CometFilter -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] -Condition : (((isnotnull(d_month_seq#29) AND (d_month_seq#29 >= 1200)) AND (d_month_seq#29 <= 1211)) AND isnotnull(d_date_sk#4)) +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] +Condition : (((isnotnull(d_month_seq#28) AND (d_month_seq#28 >= 1200)) AND (d_month_seq#28 <= 1211)) AND isnotnull(d_date_sk#4)) (55) CometProject -Input [3]: [d_date_sk#4, d_date#5, d_month_seq#29] +Input [3]: [d_date_sk#4, d_date#5, d_month_seq#28] Arguments: [d_date_sk#4, d_date#5], [d_date_sk#4, d_date#5] (56) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/extended.txt index 638b8865e0..9b20e869dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -79,4 +79,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 28 out of 66 eligible operators (42%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 29 out of 66 eligible operators (43%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/simplified.txt index afc302e779..48bc403f08 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (13) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (12) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/explain.txt index 3dd56d08f4..b9e27dbaf6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87.native_iceberg_compat/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/explain.txt index 3dd56d08f4..b9e27dbaf6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (51) -+- * CometColumnarToRow (50) +* CometColumnarToRow (51) ++- CometHashAggregate (50) +- CometColumnarExchange (49) +- * HashAggregate (48) +- * Project (47) @@ -278,15 +278,13 @@ Results [1]: [count#29] Input [1]: [count#29] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(50) CometColumnarToRow [codegen id : 4] -Input [1]: [count#29] - -(51) HashAggregate [codegen id : 4] +(50) CometHashAggregate Input [1]: [count#29] Keys: [] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#30] -Results [1]: [count(1)#30 AS count(1)#31] + +(51) CometColumnarToRow [codegen id : 4] +Input [1]: [count(1)#30] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/extended.txt index ddee139acf..acbb60ea5f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -70,4 +70,4 @@ HashAggregate +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer -Comet accelerated 55 out of 66 eligible operators (83%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 56 out of 66 eligible operators (84%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/simplified.txt index f687139735..233ad5f570 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q87/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (4) - HashAggregate [count] [count(1),count(1),count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [count] [count(1),count(1)] CometColumnarExchange #1 WholeStageCodegen (3) HashAggregate [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/explain.txt index 54bc4a6948..acbf8fe158 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/explain.txt @@ -1,34 +1,33 @@ == Physical Plan == -TakeOrderedAndProject (30) -+- * Project (29) - +- * Filter (28) - +- Window (27) - +- * CometColumnarToRow (26) - +- CometSort (25) - +- CometColumnarExchange (24) - +- * HashAggregate (23) - +- * CometColumnarToRow (22) - +- CometColumnarExchange (21) - +- * HashAggregate (20) - +- * Project (19) - +- * BroadcastHashJoin Inner BuildRight (18) - :- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (10) - : : +- * BroadcastHashJoin Inner BuildRight (9) - : : :- * CometColumnarToRow (4) - : : : +- CometProject (3) - : : : +- CometFilter (2) - : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : +- BroadcastExchange (8) - : : +- * Filter (7) - : : +- * ColumnarToRow (6) - : : +- Scan parquet spark_catalog.default.store_sales (5) - : +- ReusedExchange (11) - +- BroadcastExchange (17) - +- * CometColumnarToRow (16) - +- CometFilter (15) - +- CometNativeScan parquet spark_catalog.default.store (14) +TakeOrderedAndProject (29) ++- * Project (28) + +- * Filter (27) + +- Window (26) + +- * CometColumnarToRow (25) + +- CometSort (24) + +- CometExchange (23) + +- CometHashAggregate (22) + +- CometColumnarExchange (21) + +- * HashAggregate (20) + +- * Project (19) + +- * BroadcastHashJoin Inner BuildRight (18) + :- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (10) + : : +- * BroadcastHashJoin Inner BuildRight (9) + : : :- * CometColumnarToRow (4) + : : : +- CometProject (3) + : : : +- CometFilter (2) + : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : +- BroadcastExchange (8) + : : +- * Filter (7) + : : +- * ColumnarToRow (6) + : : +- Scan parquet spark_catalog.default.store_sales (5) + : +- ReusedExchange (11) + +- BroadcastExchange (17) + +- * CometColumnarToRow (16) + +- CometFilter (15) + +- CometNativeScan parquet spark_catalog.default.store (14) (1) CometNativeScan parquet spark_catalog.default.item @@ -78,7 +77,7 @@ Join condition: None Output [6]: [i_brand#5, i_class#6, i_category#7, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] Input [8]: [i_item_sk#1, i_brand#5, i_class#6, i_category#7, ss_item_sk#8, ss_store_sk#9, ss_sales_price#10, ss_sold_date_sk#11] -(11) ReusedExchange [Reuses operator id: 35] +(11) ReusedExchange [Reuses operator id: 34] Output [2]: [d_date_sk#13, d_moy#14] (12) BroadcastHashJoin [codegen id : 4] @@ -130,72 +129,67 @@ Results [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_nam Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Arguments: hashpartitioning(i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum#19] Keys [6]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14] Functions [1]: [sum(UnscaledValue(ss_sales_price#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#10))#20] -Results [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS sum_sales#21, MakeDecimal(sum(UnscaledValue(ss_sales_price#10))#20,17,2) AS _w0#22] -(24) CometColumnarExchange -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: hashpartitioning(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21], [i_category#7 ASC NULLS FIRST, i_brand#5 ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST, s_company_name#17 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] -(27) Window -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22] -Arguments: [avg(_w0#22) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] +(26) Window +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21] +Arguments: [avg(_w0#21) windowspecdefinition(i_category#7, i_brand#5, s_store_name#16, s_company_name#17, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#7, i_brand#5, s_store_name#16, s_company_name#17] -(28) Filter [codegen id : 7] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] -Condition : CASE WHEN NOT (avg_monthly_sales#23 = 0.000000) THEN ((abs((sum_sales#21 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END +(27) Filter [codegen id : 6] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] +Condition : CASE WHEN NOT (avg_monthly_sales#22 = 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END -(29) Project [codegen id : 7] -Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, _w0#22, avg_monthly_sales#23] +(28) Project [codegen id : 6] +Output [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Input [9]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, _w0#21, avg_monthly_sales#22] -(30) TakeOrderedAndProject -Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] -Arguments: 100, [(sum_sales#21 - avg_monthly_sales#23) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#21, avg_monthly_sales#23] +(29) TakeOrderedAndProject +Input [8]: [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] +Arguments: 100, [(sum_sales#20 - avg_monthly_sales#22) ASC NULLS FIRST, s_store_name#16 ASC NULLS FIRST], [i_category#7, i_class#6, i_brand#5, s_store_name#16, s_company_name#17, d_moy#14, sum_sales#20, avg_monthly_sales#22] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (35) -+- * CometColumnarToRow (34) - +- CometProject (33) - +- CometFilter (32) - +- CometNativeScan parquet spark_catalog.default.date_dim (31) +BroadcastExchange (34) ++- * CometColumnarToRow (33) + +- CometProject (32) + +- CometFilter (31) + +- CometNativeScan parquet spark_catalog.default.date_dim (30) -(31) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#24, d_moy#14] +(30) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#23, d_moy#14] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1999), IsNotNull(d_date_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] -Condition : ((isnotnull(d_year#24) AND (d_year#24 = 1999)) AND isnotnull(d_date_sk#13)) +(31) CometFilter +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] +Condition : ((isnotnull(d_year#23) AND (d_year#23 = 1999)) AND isnotnull(d_date_sk#13)) -(33) CometProject -Input [3]: [d_date_sk#13, d_year#24, d_moy#14] +(32) CometProject +Input [3]: [d_date_sk#13, d_year#23, d_moy#14] Arguments: [d_date_sk#13, d_moy#14], [d_date_sk#13, d_moy#14] -(34) CometColumnarToRow [codegen id : 1] +(33) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#13, d_moy#14] -(35) BroadcastExchange +(34) BroadcastExchange Input [2]: [d_date_sk#13, d_moy#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/extended.txt index 0b6c2edaa0..53fb6bf9f4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/extended.txt @@ -4,39 +4,38 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 14 out of 33 eligible operators (42%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 33 eligible operators (45%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/simplified.txt index f87ef33db4..1adaffbfe8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q89.native_datafusion/simplified.txt @@ -1,53 +1,50 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,s_store_name,i_category,i_class,i_brand,s_company_name,d_moy] - WholeStageCodegen (7) + WholeStageCodegen (6) Project [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,avg_monthly_sales] Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] - CometFilter [i_item_sk,i_brand,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_moy] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,s_store_name,s_company_name,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_class,i_category,ss_sales_price,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_class,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_class,i_category] [i_item_sk,i_brand,i_class,i_category] + CometFilter [i_item_sk,i_brand,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_moy] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/explain.txt index f6cfa7bdef..432d87648b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/explain.txt @@ -1,51 +1,50 @@ == Physical Plan == -* CometColumnarToRow (47) -+- CometSort (46) - +- CometColumnarExchange (45) - +- * HashAggregate (44) - +- * CometColumnarToRow (43) - +- CometColumnarExchange (42) - +- * HashAggregate (41) - +- * Project (40) - +- * BroadcastHashJoin Inner BuildRight (39) - :- * Project (33) - : +- * BroadcastHashJoin Inner BuildRight (32) - : :- * Project (26) - : : +- * BroadcastHashJoin Inner BuildRight (25) - : : :- * Project (19) - : : : +- * BroadcastHashJoin Inner BuildRight (18) - : : : :- * Project (13) - : : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : : :- * Project (10) - : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : :- * CometColumnarToRow (4) - : : : : : : +- CometProject (3) - : : : : : : +- CometFilter (2) - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) - : : : : : +- BroadcastExchange (8) - : : : : : +- * Filter (7) - : : : : : +- * ColumnarToRow (6) - : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) - : : : : +- ReusedExchange (11) - : : : +- BroadcastExchange (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometFilter (15) - : : : +- CometNativeScan parquet spark_catalog.default.customer (14) - : : +- BroadcastExchange (24) - : : +- * CometColumnarToRow (23) - : : +- CometProject (22) - : : +- CometFilter (21) - : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) - : +- BroadcastExchange (31) - : +- * CometColumnarToRow (30) - : +- CometProject (29) - : +- CometFilter (28) - : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) - +- BroadcastExchange (38) - +- * CometColumnarToRow (37) - +- CometProject (36) - +- CometFilter (35) - +- CometNativeScan parquet spark_catalog.default.household_demographics (34) +* CometColumnarToRow (46) ++- CometSort (45) + +- CometExchange (44) + +- CometHashAggregate (43) + +- CometColumnarExchange (42) + +- * HashAggregate (41) + +- * Project (40) + +- * BroadcastHashJoin Inner BuildRight (39) + :- * Project (33) + : +- * BroadcastHashJoin Inner BuildRight (32) + : :- * Project (26) + : : +- * BroadcastHashJoin Inner BuildRight (25) + : : :- * Project (19) + : : : +- * BroadcastHashJoin Inner BuildRight (18) + : : : :- * Project (13) + : : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : : :- * Project (10) + : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : :- * CometColumnarToRow (4) + : : : : : : +- CometProject (3) + : : : : : : +- CometFilter (2) + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center (1) + : : : : : +- BroadcastExchange (8) + : : : : : +- * Filter (7) + : : : : : +- * ColumnarToRow (6) + : : : : : +- Scan parquet spark_catalog.default.catalog_returns (5) + : : : : +- ReusedExchange (11) + : : : +- BroadcastExchange (17) + : : : +- * CometColumnarToRow (16) + : : : +- CometFilter (15) + : : : +- CometNativeScan parquet spark_catalog.default.customer (14) + : : +- BroadcastExchange (24) + : : +- * CometColumnarToRow (23) + : : +- CometProject (22) + : : +- CometFilter (21) + : : +- CometNativeScan parquet spark_catalog.default.customer_address (20) + : +- BroadcastExchange (31) + : +- * CometColumnarToRow (30) + : +- CometProject (29) + : +- CometFilter (28) + : +- CometNativeScan parquet spark_catalog.default.customer_demographics (27) + +- BroadcastExchange (38) + +- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.household_demographics (34) (1) CometNativeScan parquet spark_catalog.default.call_center @@ -95,7 +94,7 @@ Join condition: None Output [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_net_loss#8, cr_returned_date_sk#9] Input [8]: [cc_call_center_sk#1, cc_call_center_id#5, cc_name#3, cc_manager#4, cr_returning_customer_sk#6, cr_call_center_sk#7, cr_net_loss#8, cr_returned_date_sk#9] -(11) ReusedExchange [Reuses operator id: 52] +(11) ReusedExchange [Reuses operator id: 51] Output [1]: [d_date_sk#11] (12) BroadcastHashJoin [codegen id : 7] @@ -243,56 +242,51 @@ Results [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21 Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Arguments: hashpartitioning(cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [6]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22, sum#26] Keys [5]: [cc_call_center_id#5, cc_name#3, cc_manager#4, cd_marital_status#21, cd_education_status#22] Functions [1]: [sum(UnscaledValue(cr_net_loss#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cr_net_loss#8))#27] -Results [4]: [cc_call_center_id#5 AS Call_Center#28, cc_name#3 AS Call_Center_Name#29, cc_manager#4 AS Manager#30, MakeDecimal(sum(UnscaledValue(cr_net_loss#8))#27,17,2) AS Returns_Loss#31] -(45) CometColumnarExchange -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: rangepartitioning(Returns_Loss#31 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(44) CometExchange +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: rangepartitioning(Returns_Loss#30 DESC NULLS LAST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(46) CometSort -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] -Arguments: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31], [Returns_Loss#31 DESC NULLS LAST] +(45) CometSort +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] +Arguments: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30], [Returns_Loss#30 DESC NULLS LAST] -(47) CometColumnarToRow [codegen id : 9] -Input [4]: [Call_Center#28, Call_Center_Name#29, Manager#30, Returns_Loss#31] +(46) CometColumnarToRow [codegen id : 8] +Input [4]: [Call_Center#27, Call_Center_Name#28, Manager#29, Returns_Loss#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cr_returned_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (52) -+- * CometColumnarToRow (51) - +- CometProject (50) - +- CometFilter (49) - +- CometNativeScan parquet spark_catalog.default.date_dim (48) +BroadcastExchange (51) ++- * CometColumnarToRow (50) + +- CometProject (49) + +- CometFilter (48) + +- CometNativeScan parquet spark_catalog.default.date_dim (47) -(48) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#11, d_year#32, d_moy#33] +(47) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#11, d_year#31, d_moy#32] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,1998), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(49) CometFilter -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] -Condition : ((((isnotnull(d_year#32) AND isnotnull(d_moy#33)) AND (d_year#32 = 1998)) AND (d_moy#33 = 11)) AND isnotnull(d_date_sk#11)) +(48) CometFilter +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] +Condition : ((((isnotnull(d_year#31) AND isnotnull(d_moy#32)) AND (d_year#31 = 1998)) AND (d_moy#32 = 11)) AND isnotnull(d_date_sk#11)) -(50) CometProject -Input [3]: [d_date_sk#11, d_year#32, d_moy#33] +(49) CometProject +Input [3]: [d_date_sk#11, d_year#31, d_moy#32] Arguments: [d_date_sk#11], [d_date_sk#11] -(51) CometColumnarToRow [codegen id : 1] +(50) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#11] -(52) BroadcastExchange +(51) BroadcastExchange Input [1]: [d_date_sk#11] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/extended.txt index 7499c5aafc..f3a14c24b4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/extended.txt @@ -1,59 +1,58 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center - : : : : : +- BroadcastExchange - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer_address - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.call_center + : : : : : +- BroadcastExchange + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer_address + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_demographics + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.household_demographics -Comet accelerated 23 out of 47 eligible operators (48%). Final plan contains 10 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 24 out of 47 eligible operators (51%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/simplified.txt index 75fea0ec7f..4cb033c8b5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q91.native_datafusion/simplified.txt @@ -1,77 +1,74 @@ -WholeStageCodegen (9) +WholeStageCodegen (8) CometColumnarToRow InputAdapter CometSort [Call_Center,Call_Center_Name,Manager,Returns_Loss] - CometColumnarExchange [Returns_Loss] #1 - WholeStageCodegen (8) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,sum] [sum(UnscaledValue(cr_net_loss)),Call_Center,Call_Center_Name,Manager,Returns_Loss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 - WholeStageCodegen (7) - HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] - BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] - BroadcastHashJoin [c_current_addr_sk,ca_address_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] - BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] - CometColumnarToRow - InputAdapter - CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cr_call_center_sk,cr_returning_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) + CometExchange [Returns_Loss] #1 + CometHashAggregate [cd_marital_status,cd_education_status,sum] [Call_Center,Call_Center_Name,Manager,Returns_Loss,cc_call_center_id,cc_name,cc_manager,sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status] #2 + WholeStageCodegen (7) + HashAggregate [cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status,cr_net_loss] [sum,sum] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_hdemo_sk,hd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_hdemo_sk,cd_marital_status,cd_education_status] + BroadcastHashJoin [c_current_cdemo_sk,cd_demo_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk] + BroadcastHashJoin [c_current_addr_sk,ca_address_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_net_loss,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + BroadcastHashJoin [cr_returning_customer_sk,c_customer_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + Project [cc_call_center_id,cc_name,cc_manager,cr_returning_customer_sk,cr_net_loss,cr_returned_date_sk] + BroadcastHashJoin [cc_call_center_sk,cr_call_center_sk] CometColumnarToRow InputAdapter - CometProject [ca_address_sk] - CometFilter [ca_address_sk,ca_gmt_offset] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] - CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] - CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (6) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] + CometProject [cc_call_center_id] [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometFilter [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_call_center_id,cc_name,cc_manager] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cr_call_center_sk,cr_returning_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_returning_customer_sk,cr_call_center_sk,cr_net_loss,cr_returned_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_cdemo_sk,c_current_hdemo_sk,c_current_addr_sk] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [ca_address_sk] + CometFilter [ca_address_sk,ca_gmt_offset] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_gmt_offset] + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometProject [cd_marital_status,cd_education_status] [cd_demo_sk,cd_marital_status,cd_education_status] + CometFilter [cd_demo_sk,cd_marital_status,cd_education_status] + CometNativeScan parquet spark_catalog.default.customer_demographics [cd_demo_sk,cd_marital_status,cd_education_status] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/explain.txt index d96384bc72..ce4031b5cd 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/explain.txt @@ -1,6 +1,6 @@ == Physical Plan == -* HashAggregate (31) -+- * CometColumnarToRow (30) +* CometColumnarToRow (31) ++- CometHashAggregate (30) +- CometColumnarExchange (29) +- * HashAggregate (28) +- * Project (27) @@ -18,9 +18,9 @@ : : +- CometFilter (5) : : +- CometNativeScan parquet spark_catalog.default.item (4) : +- BroadcastExchange (22) - : +- * Filter (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) + : +- * CometColumnarToRow (21) + : +- CometFilter (20) + : +- CometHashAggregate (19) : +- CometColumnarExchange (18) : +- * HashAggregate (17) : +- * Project (16) @@ -118,67 +118,63 @@ Results [3]: [ws_item_sk#7, sum#13, count#14] Input [3]: [ws_item_sk#7, sum#13, count#14] Arguments: hashpartitioning(ws_item_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(19) CometColumnarToRow [codegen id : 4] -Input [3]: [ws_item_sk#7, sum#13, count#14] - -(20) HashAggregate [codegen id : 4] +(19) CometHashAggregate Input [3]: [ws_item_sk#7, sum#13, count#14] Keys [1]: [ws_item_sk#7] Functions [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))] -Aggregate Attributes [1]: [avg(UnscaledValue(ws_ext_discount_amt#8))#15] -Results [2]: [(1.3 * cast((avg(UnscaledValue(ws_ext_discount_amt#8))#15 / 100.0) as decimal(11,6))) AS (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -(21) Filter [codegen id : 4] -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] -Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#16) +(20) CometFilter +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] +Condition : isnotnull((1.3 * avg(ws_ext_discount_amt))#15) + +(21) CometColumnarToRow [codegen id : 4] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (22) BroadcastExchange -Input [2]: [(1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [2]: [(1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[1, int, true] as bigint)),false), [plan_id=3] (23) BroadcastHashJoin [codegen id : 6] Left keys [1]: [i_item_sk#5] Right keys [1]: [ws_item_sk#7] Join type: Inner -Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#16) +Join condition: (cast(ws_ext_discount_amt#2 as decimal(14,7)) > (1.3 * avg(ws_ext_discount_amt))#15) (24) Project [codegen id : 6] Output [2]: [ws_ext_discount_amt#2, ws_sold_date_sk#3] -Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#16, ws_item_sk#7] +Input [5]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, i_item_sk#5, (1.3 * avg(ws_ext_discount_amt))#15, ws_item_sk#7] (25) ReusedExchange [Reuses operator id: 36] -Output [1]: [d_date_sk#17] +Output [1]: [d_date_sk#16] (26) BroadcastHashJoin [codegen id : 6] Left keys [1]: [ws_sold_date_sk#3] -Right keys [1]: [d_date_sk#17] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None (27) Project [codegen id : 6] Output [1]: [ws_ext_discount_amt#2] -Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#17] +Input [3]: [ws_ext_discount_amt#2, ws_sold_date_sk#3, d_date_sk#16] (28) HashAggregate [codegen id : 6] Input [1]: [ws_ext_discount_amt#2] Keys: [] Functions [1]: [partial_sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum#18] -Results [1]: [sum#19] +Aggregate Attributes [1]: [sum#17] +Results [1]: [sum#18] (29) CometColumnarExchange -Input [1]: [sum#19] +Input [1]: [sum#18] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 7] -Input [1]: [sum#19] - -(31) HashAggregate [codegen id : 7] -Input [1]: [sum#19] +(30) CometHashAggregate +Input [1]: [sum#18] Keys: [] Functions [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_discount_amt#2))#20] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_ext_discount_amt#2))#20,17,2) AS Excess Discount Amount #21] + +(31) CometColumnarToRow [codegen id : 7] +Input [1]: [Excess Discount Amount #19] ===== Subqueries ===== @@ -191,25 +187,25 @@ BroadcastExchange (36) (32) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#17, d_date#22] +Output [2]: [d_date_sk#16, d_date#20] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,2000-01-27), LessThanOrEqual(d_date,2000-04-26), IsNotNull(d_date_sk)] ReadSchema: struct (33) CometFilter -Input [2]: [d_date_sk#17, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 2000-01-27)) AND (d_date#22 <= 2000-04-26)) AND isnotnull(d_date_sk#17)) +Input [2]: [d_date_sk#16, d_date#20] +Condition : (((isnotnull(d_date#20) AND (d_date#20 >= 2000-01-27)) AND (d_date#20 <= 2000-04-26)) AND isnotnull(d_date_sk#16)) (34) CometProject -Input [2]: [d_date_sk#17, d_date#22] -Arguments: [d_date_sk#17], [d_date_sk#17] +Input [2]: [d_date_sk#16, d_date#20] +Arguments: [d_date_sk#16], [d_date_sk#16] (35) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] (36) BroadcastExchange -Input [1]: [d_date_sk#17] +Input [1]: [d_date_sk#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] Subquery:2 Hosting operator id = 11 Hosting Expression = ws_sold_date_sk#9 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/extended.txt index 2d15266049..10ab7bfa25 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/extended.txt @@ -1,5 +1,5 @@ -HashAggregate -+- CometColumnarToRow +CometColumnarToRow ++- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -23,9 +23,9 @@ HashAggregate : : +- CometFilter : : +- CometNativeScan parquet spark_catalog.default.item : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow + : +- CometColumnarToRow + : +- CometFilter + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate : +- Project @@ -45,4 +45,4 @@ HashAggregate +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 38 eligible operators (36%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 17 out of 38 eligible operators (44%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/simplified.txt index 17df728966..c09fd62763 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q92.native_datafusion/simplified.txt @@ -1,7 +1,7 @@ WholeStageCodegen (7) - HashAggregate [sum] [sum(UnscaledValue(ws_ext_discount_amt)),Excess Discount Amount ,sum] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometHashAggregate [sum] [Excess Discount Amount ,sum(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange #1 WholeStageCodegen (6) HashAggregate [ws_ext_discount_amt] [sum,sum] @@ -34,10 +34,10 @@ WholeStageCodegen (7) InputAdapter BroadcastExchange #4 WholeStageCodegen (4) - Filter [(1.3 * avg(ws_ext_discount_amt))] - HashAggregate [ws_item_sk,sum,count] [avg(UnscaledValue(ws_ext_discount_amt)),(1.3 * avg(ws_ext_discount_amt)),sum,count] - CometColumnarToRow - InputAdapter + CometColumnarToRow + InputAdapter + CometFilter [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk] + CometHashAggregate [sum,count] [(1.3 * avg(ws_ext_discount_amt)),ws_item_sk,avg(UnscaledValue(ws_ext_discount_amt))] CometColumnarExchange [ws_item_sk] #5 WholeStageCodegen (3) HashAggregate [ws_item_sk,ws_ext_discount_amt] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/explain.txt index 32c4235d27..e829514668 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/explain.txt @@ -1,30 +1,29 @@ == Physical Plan == -* CometColumnarToRow (26) -+- CometProject (25) - +- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (25) ++- CometProject (24) + +- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -74,7 +73,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 31] +(11) ReusedExchange [Reuses operator id: 30] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -98,79 +97,74 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19, i_item_id#11] -(18) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] -(21) Window -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21, i_item_id#11] -Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, i_item_id#11, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20, i_item_id#11] +Input [8]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, i_item_id#11, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometProject -Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21, i_item_id#11] -Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometProject +Input [7]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20, i_item_id#11] +Arguments: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] -(26) CometColumnarToRow [codegen id : 7] -Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(25) CometColumnarToRow [codegen id : 6] +Input [6]: [i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (31) -+- * CometColumnarToRow (30) - +- CometProject (29) - +- CometFilter (28) - +- CometNativeScan parquet spark_catalog.default.date_dim (27) +BroadcastExchange (30) ++- * CometColumnarToRow (29) + +- CometProject (28) + +- CometFilter (27) + +- CometNativeScan parquet spark_catalog.default.date_dim (26) -(27) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(26) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(28) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(27) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(29) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(28) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(30) CometColumnarToRow [codegen id : 1] +(29) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(31) BroadcastExchange +(30) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/extended.txt index 030031856f..65efb17afb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/extended.txt @@ -6,33 +6,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 15 out of 29 eligible operators (51%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 16 out of 29 eligible operators (55%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/simplified.txt index 3f64b57ffa..b4427ba56f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v1_4-spark4_0/q98.native_datafusion/simplified.txt @@ -1,48 +1,45 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometProject [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio,i_item_id] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0,i_item_id] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,i_item_id,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/explain.txt index 83b183d532..8c5e3a3394 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_pur Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Arguments: hashpartitioning(cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Keys [8]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#33] -Results [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, count(1)#33 AS cnt1#34, cd_purchase_estimate#22, count(1)#33 AS cnt2#35, cd_credit_rating#30, count(1)#33 AS cnt3#36, cd_dep_count#24, count(1)#33 AS cnt4#37, cd_dep_employed_count#25, count(1)#33 AS cnt5#38, cd_dep_college_count#26, count(1)#33 AS cnt6#39] -(43) TakeOrderedAndProject -Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] -Arguments: 100, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] +(42) CometTakeOrderedAndProject +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_education_status#29 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#30 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[cd_gender#27,cd_marital_status#28,cd_education_status#29,cnt1#33,cd_purchase_estimate#22,cnt2#34,cd_credit_rating#30,cnt3#35,cd_dep_count#24,cnt4#36,cd_dep_employed_count#25,cnt5#37,cd_dep_college_count#26,cnt6#38]), [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38], 100, 0, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] + +(43) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#40, d_moy#41] +Output [3]: [d_date_sk#7, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,7), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#40, d_moy#41] -Condition : (((((isnotnull(d_year#40) AND isnotnull(d_moy#41)) AND (d_year#40 = 2002)) AND (d_moy#41 >= 4)) AND (d_moy#41 <= 7)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#39, d_moy#40] +Condition : (((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 2002)) AND (d_moy#40 >= 4)) AND (d_moy#40 <= 7)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#40, d_moy#41] +Input [3]: [d_date_sk#7, d_year#39, d_moy#40] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/simplified.txt index 11bfb6f6c3..fee0bf370e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q10a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/explain.txt index 207cd830ed..2b51b7b156 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14], [c_customer_sk#27, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#28, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#29, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#30, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#31, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#32, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#33, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#34, 50, true, false, true) AS c_email_address#14] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14], [c_customer_sk#26, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#27, 16, true, false, true) AS c_customer_id#9, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#28, 20, true, false, true) AS c_first_name#10, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#29, 30, true, false, true) AS c_last_name#11, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#30, 1, true, false, true) AS c_preferred_cust_flag#12, c_birth_country#31, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#32, 13, true, false, true) AS c_login#13, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#33, 50, true, false, true) AS c_email_address#14] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#38), dynamicpruningexpression(ss_sold_date_sk#38 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ss_sold_date_sk#37), dynamicpruningexpression(ss_sold_date_sk#37 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Condition : isnotnull(ss_customer_sk#35) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Condition : isnotnull(ss_customer_sk#34) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#35] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#34] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] -Input [12]: [c_customer_sk#27, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_customer_sk#35, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#40, d_year#41] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] +Input [12]: [c_customer_sk#26, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_customer_sk#34, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#38] -Right keys [1]: [d_date_sk#40] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#39, d_year#40] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, ss_sold_date_sk#38, d_date_sk#40, d_year#41] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, ss_ext_discount_amt#36, ss_ext_list_price#37, d_year#41] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum#42] -Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14, sum#43] -Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#41, c_preferred_cust_flag#12, c_birth_country#32, c_login#13, c_email_address#14] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24] -Results [5]: [c_customer_id#9 AS customer_id#44, c_first_name#10 AS customer_first_name#45, c_last_name#11 AS customer_last_name#46, c_email_address#14 AS customer_email_address#47, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#37 - ss_ext_discount_amt#36)))#24,18,2) AS year_total#48] - -(36) BroadcastExchange -Input [5]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#44] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#37] +Right keys [1]: [d_date_sk#39] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Input [12]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, ss_sold_date_sk#37, d_date_sk#39, d_year#40] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, ss_ext_discount_amt#35, ss_ext_list_price#36, d_year#40] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] +Aggregate Attributes [1]: [sum#41] +Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14, sum#42] +Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#40, c_preferred_cust_flag#12, c_birth_country#31, c_login#13, c_email_address#14] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#36 - ss_ext_discount_amt#35)))] + +(34) CometBroadcastExchange +Input [5]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Arguments: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [5]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Arguments: [customer_id#24], [customer_id#43], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] -Condition : (isnotnull(c_customer_sk#49) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#50, 16, true, false, true))) +(37) CometFilter +Input [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] +Condition : (isnotnull(c_customer_sk#48) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#49, 16, true, false, true))) -(40) CometProject -Input [8]: [c_customer_sk#49, c_customer_id#50, c_first_name#51, c_last_name#52, c_preferred_cust_flag#53, c_birth_country#54, c_login#55, c_email_address#56] -Arguments: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62], [c_customer_sk#49, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#50, 16, true, false, true) AS c_customer_id#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#51, 20, true, false, true) AS c_first_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#52, 30, true, false, true) AS c_last_name#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#53, 1, true, false, true) AS c_preferred_cust_flag#60, c_birth_country#54, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#55, 13, true, false, true) AS c_login#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#56, 50, true, false, true) AS c_email_address#62] +(38) CometProject +Input [8]: [c_customer_sk#48, c_customer_id#49, c_first_name#50, c_last_name#51, c_preferred_cust_flag#52, c_birth_country#53, c_login#54, c_email_address#55] +Arguments: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61], [c_customer_sk#48, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#49, 16, true, false, true) AS c_customer_id#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#50, 20, true, false, true) AS c_first_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#51, 30, true, false, true) AS c_last_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#52, 1, true, false, true) AS c_preferred_cust_flag#59, c_birth_country#53, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#54, 13, true, false, true) AS c_login#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#55, 50, true, false, true) AS c_email_address#61] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61] -(42) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(40) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#66), dynamicpruningexpression(ws_sold_date_sk#66 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(41) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] -(44) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Condition : isnotnull(ws_bill_customer_sk#63) +(42) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Condition : isnotnull(ws_bill_customer_sk#62) -(45) BroadcastExchange -Input [4]: [ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [4]: [ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#49] -Right keys [1]: [ws_bill_customer_sk#63] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#48] +Right keys [1]: [ws_bill_customer_sk#62] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] -Input [12]: [c_customer_sk#49, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_bill_customer_sk#63, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66] +(45) Project [codegen id : 9] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] +Input [12]: [c_customer_sk#48, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_bill_customer_sk#62, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#67, d_year#68] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#66, d_year#67] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#66] -Right keys [1]: [d_date_sk#67] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#65] +Right keys [1]: [d_date_sk#66] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, d_year#68] -Input [12]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, ws_sold_date_sk#66, d_date_sk#67, d_year#68] - -(51) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, ws_ext_discount_amt#64, ws_ext_list_price#65, d_year#68] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))] -Aggregate Attributes [1]: [sum#69] -Results [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] - -(52) CometColumnarExchange -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] -Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] - -(54) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68, sum#70] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#54, c_login#61, c_email_address#62, d_year#68] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))#71] -Results [2]: [c_customer_id#57 AS customer_id#72, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#65 - ws_ext_discount_amt#64)))#71,18,2) AS year_total#73] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#72, year_total#73] -Condition : (isnotnull(year_total#73) AND (year_total#73 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#72, year_total#73] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#72] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [8]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, year_total#73] -Input [9]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, customer_id#72, year_total#73] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] +(48) Project [codegen id : 9] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, d_year#67] +Input [12]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, ws_sold_date_sk#65, d_date_sk#66, d_year#67] + +(49) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, ws_ext_discount_amt#63, ws_ext_list_price#64, d_year#67] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#64 - ws_ext_discount_amt#63)))] +Aggregate Attributes [1]: [sum#68] +Results [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] + +(50) CometColumnarExchange +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] +Arguments: hashpartitioning(c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67, sum#69] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#53, c_login#60, c_email_address#61, d_year#67] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#64 - ws_ext_discount_amt#63)))] + +(52) CometFilter +Input [2]: [customer_id#70, year_total#71] +Condition : (isnotnull(year_total#71) AND (year_total#71 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#70, year_total#71] +Arguments: [customer_id#70, year_total#71] + +(54) CometBroadcastHashJoin +Left output [7]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47] +Right output [2]: [customer_id#70, year_total#71] +Arguments: [customer_id#24], [customer_id#70], Inner, BuildRight + +(55) CometProject +Input [9]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, customer_id#70, year_total#71] +Arguments: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71], [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] -Condition : (isnotnull(c_customer_sk#74) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#75, 16, true, false, true))) +(57) CometFilter +Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +Condition : (isnotnull(c_customer_sk#72) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true))) -(61) CometProject -Input [8]: [c_customer_sk#74, c_customer_id#75, c_first_name#76, c_last_name#77, c_preferred_cust_flag#78, c_birth_country#79, c_login#80, c_email_address#81] -Arguments: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62], [c_customer_sk#74, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#75, 16, true, false, true) AS c_customer_id#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#76, 20, true, false, true) AS c_first_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#77, 30, true, false, true) AS c_last_name#59, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#78, 1, true, false, true) AS c_preferred_cust_flag#60, c_birth_country#79, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#80, 13, true, false, true) AS c_login#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#81, 50, true, false, true) AS c_email_address#62] +(58) CometProject +Input [8]: [c_customer_sk#72, c_customer_id#73, c_first_name#74, c_last_name#75, c_preferred_cust_flag#76, c_birth_country#77, c_login#78, c_email_address#79] +Arguments: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61], [c_customer_sk#72, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#73, 16, true, false, true) AS c_customer_id#56, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#74, 20, true, false, true) AS c_first_name#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#75, 30, true, false, true) AS c_last_name#58, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#76, 1, true, false, true) AS c_preferred_cust_flag#59, c_birth_country#77, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_login#78, 13, true, false, true) AS c_login#60, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_email_address#79, 50, true, false, true) AS c_email_address#61] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61] -(63) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(60) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#85), dynamicpruningexpression(ws_sold_date_sk#85 IN dynamicpruning#39)] +PartitionFilters: [isnotnull(ws_sold_date_sk#83), dynamicpruningexpression(ws_sold_date_sk#83 IN dynamicpruning#38)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(61) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -(65) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Condition : isnotnull(ws_bill_customer_sk#82) +(62) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Condition : isnotnull(ws_bill_customer_sk#80) -(66) BroadcastExchange -Input [4]: [ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [4]: [ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#74] -Right keys [1]: [ws_bill_customer_sk#82] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#72] +Right keys [1]: [ws_bill_customer_sk#80] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] -Input [12]: [c_customer_sk#74, c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_bill_customer_sk#82, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85] +(65) Project [codegen id : 12] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] +Input [12]: [c_customer_sk#72, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_bill_customer_sk#80, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#86, d_year#87] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#84, d_year#85] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#85] -Right keys [1]: [d_date_sk#86] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#83] +Right keys [1]: [d_date_sk#84] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, d_year#87] -Input [12]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, ws_sold_date_sk#85, d_date_sk#86, d_year#87] - -(72) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, ws_ext_discount_amt#83, ws_ext_list_price#84, d_year#87] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))] -Aggregate Attributes [1]: [sum#88] -Results [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] - -(73) CometColumnarExchange -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] -Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] - -(75) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87, sum#89] -Keys [8]: [c_customer_id#57, c_first_name#58, c_last_name#59, c_preferred_cust_flag#60, c_birth_country#79, c_login#61, c_email_address#62, d_year#87] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))#71] -Results [2]: [c_customer_id#57 AS customer_id#90, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#84 - ws_ext_discount_amt#83)))#71,18,2) AS year_total#91] - -(76) BroadcastExchange -Input [2]: [customer_id#90, year_total#91] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#90] -Join type: Inner -Join condition: (CASE WHEN (year_total#73 > 0.00) THEN (year_total#91 / year_total#73) ELSE 0E-20 END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#48 / year_total#26) ELSE 0E-20 END) +(68) Project [codegen id : 12] +Output [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] +Input [12]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, ws_sold_date_sk#83, d_date_sk#84, d_year#85] + +(69) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, ws_ext_discount_amt#81, ws_ext_list_price#82, d_year#85] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] +Aggregate Attributes [1]: [sum#86] +Results [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] + +(70) CometColumnarExchange +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] +Arguments: hashpartitioning(c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [9]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85, sum#87] +Keys [8]: [c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#77, c_login#60, c_email_address#61, d_year#85] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#82 - ws_ext_discount_amt#81)))] -(78) Project [codegen id : 16] -Output [4]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] -Input [10]: [customer_id#25, year_total#26, customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47, year_total#48, year_total#73, customer_id#90, year_total#91] +(72) CometBroadcastExchange +Input [2]: [customer_id#88, year_total#89] +Arguments: [customer_id#88, year_total#89] -(79) TakeOrderedAndProject -Input [4]: [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] -Arguments: 100, [customer_id#44 ASC NULLS FIRST, customer_first_name#45 ASC NULLS FIRST, customer_last_name#46 ASC NULLS FIRST, customer_email_address#47 ASC NULLS FIRST], [customer_id#44, customer_first_name#45, customer_last_name#46, customer_email_address#47] +(73) CometBroadcastHashJoin +Left output [8]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71] +Right output [2]: [customer_id#88, year_total#89] +Arguments: [customer_id#24], [customer_id#88], Inner, (CASE WHEN (year_total#71 > 0.00) THEN (year_total#89 / year_total#71) ELSE 0E-20 END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#47 / year_total#25) ELSE 0E-20 END), BuildRight + +(74) CometProject +Input [10]: [customer_id#24, year_total#25, customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46, year_total#47, year_total#71, customer_id#88, year_total#89] +Arguments: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46], [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] + +(75) CometTakeOrderedAndProject +Input [4]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#43 ASC NULLS FIRST,customer_first_name#44 ASC NULLS FIRST,customer_last_name#45 ASC NULLS FIRST,customer_email_address#46 ASC NULLS FIRST], output=[customer_id#43,customer_first_name#44,customer_last_name#45,customer_email_address#46]), [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46], 100, 0, [customer_id#43 ASC NULLS FIRST, customer_first_name#44 ASC NULLS FIRST, customer_last_name#45 ASC NULLS FIRST, customer_email_address#46 ASC NULLS FIRST], [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] + +(76) CometColumnarToRow [codegen id : 13] +Input [4]: [customer_id#43, customer_first_name#44, customer_last_name#45, customer_email_address#46] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#38 IN dynamicpruning#39 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#37 IN dynamicpruning#38 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_year#41] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#39, d_year#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#40, d_year#41] -Condition : ((isnotnull(d_year#41) AND (d_year#41 = 2002)) AND isnotnull(d_date_sk#40)) +(82) CometFilter +Input [2]: [d_date_sk#39, d_year#40] +Condition : ((isnotnull(d_year#40) AND (d_year#40 = 2002)) AND isnotnull(d_date_sk#39)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#40, d_year#41] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#39, d_year#40] -(87) BroadcastExchange -Input [2]: [d_date_sk#40, d_year#41] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#39, d_year#40] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#66 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#85 IN dynamicpruning#39 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#83 IN dynamicpruning#38 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/simplified.txt index 00a3e659d4..34623698d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q11.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] #4 + CometHashAggregate [d_year,c_preferred_cust_flag,c_birth_country,c_login,sum] [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_email_address,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/explain.txt index 2ebf9db593..dd613f8b80 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/simplified.txt index c129b42cdb..c02f64b5c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/explain.txt index 59342eea7f..5135981f49 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,376 +393,366 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#59] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#57] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [ss_item_sk#59] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [ss_item_sk#57] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#60] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#58] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#64] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#62] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#64] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] -Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71, count(1)#72] -Results [6]: [store AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71 AS sales#74, count(1)#72 AS number_sales#75] - -(84) Filter [codegen id : 51] -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65] +Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Condition : (isnotnull(sales#70) AND (cast(sales#70 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#59, i_class_id#60, i_category_id#61], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#69,i_brand_id#59,i_class_id#60,i_category_id#61,sales#70,number_sales#71]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#78), dynamicpruningexpression(ss_sold_date_sk#78 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#74), dynamicpruningexpression(ss_sold_date_sk#74 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#79] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#75] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#78] -Right keys [1]: [d_date_sk#79] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#74] +Right keys [1]: [d_date_sk#75] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#76 AS quantity#80, ss_list_price#77 AS list_price#81] -Input [4]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78, d_date_sk#79] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#72 AS quantity#76, ss_list_price#73 AS list_price#77] +Input [4]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74, d_date_sk#75] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#84), dynamicpruningexpression(cs_sold_date_sk#84 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#80), dynamicpruningexpression(cs_sold_date_sk#80 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#85] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#81] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#84] -Right keys [1]: [d_date_sk#85] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#80] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#82 AS quantity#86, cs_list_price#83 AS list_price#87] -Input [4]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84, d_date_sk#85] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#78 AS quantity#82, cs_list_price#79 AS list_price#83] +Input [4]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80, d_date_sk#81] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#90), dynamicpruningexpression(ws_sold_date_sk#90 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#86), dynamicpruningexpression(ws_sold_date_sk#86 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#91] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#87] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#90] -Right keys [1]: [d_date_sk#91] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#86] +Right keys [1]: [d_date_sk#87] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#88 AS quantity#92, ws_list_price#89 AS list_price#93] -Input [4]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90, d_date_sk#91] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#84 AS quantity#88, ws_list_price#85 AS list_price#89] +Input [4]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86, d_date_sk#87] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#80, list_price#81] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#76, list_price#77] Keys: [] -Functions [1]: [partial_avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [2]: [sum#94, count#95] -Results [2]: [sum#96, count#97] - -(105) CometColumnarExchange -Input [2]: [sum#96, count#97] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] +Aggregate Attributes [2]: [sum#90, count#91] +Results [2]: [sum#92, count#93] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#96, count#97] +(104) CometColumnarExchange +Input [2]: [sum#92, count#93] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#96, count#97] +(105) CometHashAggregate +Input [2]: [sum#92, count#93] Keys: [] -Functions [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98] -Results [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98 AS average_sales#99] +Functions [1]: [avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#94] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#78 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#74 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#84 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#80 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#90 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#86 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#100] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#95] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#100] -Condition : ((isnotnull(d_week_seq#100) AND (d_week_seq#100 = Subquery scalar-subquery#101, [id=#102])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#95] +Condition : ((isnotnull(d_week_seq#95) AND (d_week_seq#95 = Subquery scalar-subquery#96, [id=#97])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#100] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#95] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = Subquery scalar-subquery#101, [id=#102] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:6 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#96, [id=#97] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Condition : (((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND isnotnull(d_dom#106)) AND (d_year#104 = 1999)) AND (d_moy#105 = 12)) AND (d_dom#106 = 16)) +(113) CometFilter +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Condition : (((((isnotnull(d_year#99) AND isnotnull(d_moy#100)) AND isnotnull(d_dom#101)) AND (d_year#99 = 1999)) AND (d_moy#100 = 12)) AND (d_dom#101 = 16)) -(115) CometProject -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Arguments: [d_week_seq#103], [d_week_seq#103] +(114) CometProject +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Arguments: [d_week_seq#98], [d_week_seq#98] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#103] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#98] Subquery:7 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#107] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#102] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#107] -Condition : (((isnotnull(d_year#107) AND (d_year#107 >= 1998)) AND (d_year#107 <= 2000)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#102] +Condition : (((isnotnull(d_year#102) AND (d_year#102 >= 1998)) AND (d_year#102 <= 2000)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#107] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#102] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:8 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:9 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:10 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:10 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:11 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:11 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#64, d_week_seq#108] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#62, d_week_seq#103] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_week_seq), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#64, d_week_seq#108] -Condition : ((isnotnull(d_week_seq#108) AND (d_week_seq#108 = Subquery scalar-subquery#109, [id=#110])) AND isnotnull(d_date_sk#64)) +(122) CometFilter +Input [2]: [d_date_sk#62, d_week_seq#103] +Condition : ((isnotnull(d_week_seq#103) AND (d_week_seq#103 = Subquery scalar-subquery#104, [id=#105])) AND isnotnull(d_date_sk#62)) -(124) CometProject -Input [2]: [d_date_sk#64, d_week_seq#108] -Arguments: [d_date_sk#64], [d_date_sk#64] +(123) CometProject +Input [2]: [d_date_sk#62, d_week_seq#103] +Arguments: [d_date_sk#62], [d_date_sk#62] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#64] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#62] -(126) BroadcastExchange -Input [1]: [d_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:12 Hosting operator id = 123 Hosting Expression = Subquery scalar-subquery#109, [id=#110] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:12 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#104, [id=#105] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1998), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Condition : (((((isnotnull(d_year#112) AND isnotnull(d_moy#113)) AND isnotnull(d_dom#114)) AND (d_year#112 = 1998)) AND (d_moy#113 = 12)) AND (d_dom#114 = 16)) +(127) CometFilter +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Condition : (((((isnotnull(d_year#107) AND isnotnull(d_moy#108)) AND isnotnull(d_dom#109)) AND (d_year#107 = 1998)) AND (d_moy#108 = 12)) AND (d_dom#109 = 16)) -(129) CometProject -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Arguments: [d_week_seq#111], [d_week_seq#111] +(128) CometProject +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Arguments: [d_week_seq#106], [d_week_seq#106] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#111] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#106] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/extended.txt index c4138c254a..04ce816165 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/extended.txt @@ -1,227 +1,226 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- Subquery - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- Subquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- Subquery + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -401,4 +400,4 @@ TakeOrderedAndProject : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 333 eligible operators (38%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 333 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/simplified.txt index b0eae963c3..0e64c1111f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -163,44 +163,40 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/explain.txt index f6335b03dd..2715889ef3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/explain.txt @@ -1,143 +1,131 @@ == Physical Plan == -* CometColumnarToRow (139) -+- CometTakeOrderedAndProject (138) - +- CometHashAggregate (137) - +- CometColumnarExchange (136) - +- * HashAggregate (135) - +- Union (134) - :- * HashAggregate (105) - : +- * CometColumnarToRow (104) - : +- CometColumnarExchange (103) - : +- * HashAggregate (102) - : +- Union (101) - : :- * Filter (68) - : : +- * HashAggregate (67) - : : +- * CometColumnarToRow (66) - : : +- CometColumnarExchange (65) - : : +- * HashAggregate (64) - : : +- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (51) - : : : : +- * Project (50) - : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : :- * CometColumnarToRow (6) - : : : : : +- CometFilter (5) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : : +- BroadcastExchange (48) - : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : : :- * CometColumnarToRow (36) - : : : : : +- CometHashAggregate (35) - : : : : : +- CometColumnarExchange (34) - : : : : : +- * HashAggregate (33) - : : : : : +- * Project (32) - : : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : : :- * Project (29) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : : :- * Filter (9) - : : : : : : : +- * ColumnarToRow (8) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : : +- BroadcastExchange (27) - : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : : :- * CometColumnarToRow (12) - : : : : : : : +- CometFilter (11) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : : +- BroadcastExchange (25) - : : : : : : +- * Project (24) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : : :- * Project (21) - : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : : :- * Filter (15) - : : : : : : : : +- * ColumnarToRow (14) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : : +- BroadcastExchange (19) - : : : : : : : +- * CometColumnarToRow (18) - : : : : : : : +- CometFilter (17) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : : +- ReusedExchange (22) - : : : : : +- ReusedExchange (30) - : : : : +- BroadcastExchange (46) - : : : : +- * Project (45) - : : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : : :- * Project (42) - : : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : : :- * Filter (39) - : : : : : : +- * ColumnarToRow (38) - : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : : +- ReusedExchange (40) - : : : : +- ReusedExchange (43) - : : : +- BroadcastExchange (58) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : : :- * CometColumnarToRow (55) - : : : : +- CometFilter (54) - : : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : : +- ReusedExchange (56) - : : +- ReusedExchange (61) - : :- * Filter (84) - : : +- * HashAggregate (83) - : : +- * CometColumnarToRow (82) - : : +- CometColumnarExchange (81) - : : +- * HashAggregate (80) - : : +- * Project (79) - : : +- * BroadcastHashJoin Inner BuildRight (78) - : : :- * Project (76) - : : : +- * BroadcastHashJoin Inner BuildRight (75) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : : : :- * Filter (71) - : : : : : +- * ColumnarToRow (70) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) - : : : : +- ReusedExchange (72) - : : : +- ReusedExchange (74) - : : +- ReusedExchange (77) - : +- * Filter (100) - : +- * HashAggregate (99) - : +- * CometColumnarToRow (98) - : +- CometColumnarExchange (97) - : +- * HashAggregate (96) - : +- * Project (95) - : +- * BroadcastHashJoin Inner BuildRight (94) - : :- * Project (92) - : : +- * BroadcastHashJoin Inner BuildRight (91) - : : :- * BroadcastHashJoin LeftSemi BuildRight (89) - : : : :- * Filter (87) - : : : : +- * ColumnarToRow (86) - : : : : +- Scan parquet spark_catalog.default.web_sales (85) - : : : +- ReusedExchange (88) - : : +- ReusedExchange (90) - : +- ReusedExchange (93) - :- * HashAggregate (112) - : +- * CometColumnarToRow (111) - : +- CometColumnarExchange (110) - : +- * HashAggregate (109) - : +- * HashAggregate (108) - : +- * CometColumnarToRow (107) - : +- ReusedExchange (106) - :- * HashAggregate (119) - : +- * CometColumnarToRow (118) - : +- CometColumnarExchange (117) - : +- * HashAggregate (116) - : +- * HashAggregate (115) - : +- * CometColumnarToRow (114) - : +- ReusedExchange (113) - :- * HashAggregate (126) - : +- * CometColumnarToRow (125) - : +- CometColumnarExchange (124) - : +- * HashAggregate (123) - : +- * HashAggregate (122) - : +- * CometColumnarToRow (121) - : +- ReusedExchange (120) - +- * HashAggregate (133) - +- * CometColumnarToRow (132) - +- CometColumnarExchange (131) - +- * HashAggregate (130) - +- * HashAggregate (129) - +- * CometColumnarToRow (128) - +- ReusedExchange (127) +* CometColumnarToRow (127) ++- CometTakeOrderedAndProject (126) + +- CometHashAggregate (125) + +- CometExchange (124) + +- CometHashAggregate (123) + +- CometUnion (122) + :- CometHashAggregate (101) + : +- CometExchange (100) + : +- CometHashAggregate (99) + : +- CometUnion (98) + : :- CometFilter (67) + : : +- CometHashAggregate (66) + : : +- CometColumnarExchange (65) + : : +- * HashAggregate (64) + : : +- * Project (63) + : : +- * BroadcastHashJoin Inner BuildRight (62) + : : :- * Project (60) + : : : +- * BroadcastHashJoin Inner BuildRight (59) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (51) + : : : : +- * Project (50) + : : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : : :- * CometColumnarToRow (6) + : : : : : +- CometFilter (5) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : : +- BroadcastExchange (48) + : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : : :- * CometColumnarToRow (36) + : : : : : +- CometHashAggregate (35) + : : : : : +- CometColumnarExchange (34) + : : : : : +- * HashAggregate (33) + : : : : : +- * Project (32) + : : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : : :- * Project (29) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : : :- * Filter (9) + : : : : : : : +- * ColumnarToRow (8) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : : +- BroadcastExchange (27) + : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : : :- * CometColumnarToRow (12) + : : : : : : : +- CometFilter (11) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : : +- BroadcastExchange (25) + : : : : : : +- * Project (24) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : : :- * Project (21) + : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : : :- * Filter (15) + : : : : : : : : +- * ColumnarToRow (14) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : : +- BroadcastExchange (19) + : : : : : : : +- * CometColumnarToRow (18) + : : : : : : : +- CometFilter (17) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : : +- ReusedExchange (22) + : : : : : +- ReusedExchange (30) + : : : : +- BroadcastExchange (46) + : : : : +- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * Project (42) + : : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : : :- * Filter (39) + : : : : : : +- * ColumnarToRow (38) + : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : : +- ReusedExchange (40) + : : : : +- ReusedExchange (43) + : : : +- BroadcastExchange (58) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : : :- * CometColumnarToRow (55) + : : : : +- CometFilter (54) + : : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (61) + : :- CometFilter (82) + : : +- CometHashAggregate (81) + : : +- CometColumnarExchange (80) + : : +- * HashAggregate (79) + : : +- * Project (78) + : : +- * BroadcastHashJoin Inner BuildRight (77) + : : :- * Project (75) + : : : +- * BroadcastHashJoin Inner BuildRight (74) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : : : :- * Filter (70) + : : : : : +- * ColumnarToRow (69) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (68) + : : : : +- ReusedExchange (71) + : : : +- ReusedExchange (73) + : : +- ReusedExchange (76) + : +- CometFilter (97) + : +- CometHashAggregate (96) + : +- CometColumnarExchange (95) + : +- * HashAggregate (94) + : +- * Project (93) + : +- * BroadcastHashJoin Inner BuildRight (92) + : :- * Project (90) + : : +- * BroadcastHashJoin Inner BuildRight (89) + : : :- * BroadcastHashJoin LeftSemi BuildRight (87) + : : : :- * Filter (85) + : : : : +- * ColumnarToRow (84) + : : : : +- Scan parquet spark_catalog.default.web_sales (83) + : : : +- ReusedExchange (86) + : : +- ReusedExchange (88) + : +- ReusedExchange (91) + :- CometHashAggregate (106) + : +- CometExchange (105) + : +- CometHashAggregate (104) + : +- CometHashAggregate (103) + : +- ReusedExchange (102) + :- CometHashAggregate (111) + : +- CometExchange (110) + : +- CometHashAggregate (109) + : +- CometHashAggregate (108) + : +- ReusedExchange (107) + :- CometHashAggregate (116) + : +- CometExchange (115) + : +- CometHashAggregate (114) + : +- CometHashAggregate (113) + : +- ReusedExchange (112) + +- CometHashAggregate (121) + +- CometExchange (120) + +- CometHashAggregate (119) + +- CometHashAggregate (118) + +- ReusedExchange (117) (1) Scan parquet spark_catalog.default.store_sales @@ -241,7 +229,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 174] +(22) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -278,7 +266,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 174] +(30) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -338,7 +326,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 174] +(43) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -422,7 +410,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 169] +(61) ReusedExchange [Reuses operator id: 157] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -446,562 +434,496 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 26] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#57), dynamicpruningexpression(cs_sold_date_sk#57 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#55), dynamicpruningexpression(cs_sold_date_sk#55 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] -(71) Filter [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] -Condition : isnotnull(cs_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] +Condition : isnotnull(cs_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#58] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#56] -(73) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] -Right keys [1]: [ss_item_sk#58] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] +Right keys [1]: [ss_item_sk#56] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(75) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] -Right keys [1]: [i_item_sk#59] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] +Right keys [1]: [i_item_sk#57] Join type: Inner Join condition: None -(76) Project [codegen id : 51] -Output [6]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [8]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(75) Project [codegen id : 50] +Output [6]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [8]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(77) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#63] +(76) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#61] -(78) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#57] -Right keys [1]: [d_date_sk#63] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#55] +Right keys [1]: [d_date_sk#61] Join type: Inner Join condition: None -(79) Project [codegen id : 51] -Output [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [7]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62, d_date_sk#63] - -(80) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [partial_sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#64, isEmpty#65, count#66] -Results [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Arguments: hashpartitioning(i_brand_id#60, i_class_id#61, i_category_id#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(83) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#70, count(1)#71] -Results [6]: [catalog AS channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#70 AS sales#73, count(1)#71 AS number_sales#74] - -(84) Filter [codegen id : 52] -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Condition : (isnotnull(sales#73) AND (cast(sales#73 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] +(78) Project [codegen id : 50] +Output [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [7]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60, d_date_sk#61] + +(79) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [partial_sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#62, isEmpty#63, count#64] +Results [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Arguments: hashpartitioning(i_brand_id#58, i_class_id#59, i_category_id#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Condition : (isnotnull(sales#69) AND (cast(sales#69 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#78), dynamicpruningexpression(ws_sold_date_sk#78 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#74), dynamicpruningexpression(ws_sold_date_sk#74 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(86) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] +(84) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] -(87) Filter [codegen id : 77] -Input [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] -Condition : isnotnull(ws_item_sk#75) +(85) Filter [codegen id : 75] +Input [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] +Condition : isnotnull(ws_item_sk#71) -(88) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#79] +(86) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#75] -(89) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#75] -Right keys [1]: [ss_item_sk#79] +(87) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#71] +Right keys [1]: [ss_item_sk#75] Join type: LeftSemi Join condition: None -(90) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#80, i_brand_id#81, i_class_id#82, i_category_id#83] +(88) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#76, i_brand_id#77, i_class_id#78, i_category_id#79] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#75] -Right keys [1]: [i_item_sk#80] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#71] +Right keys [1]: [i_item_sk#76] Join type: Inner Join condition: None -(92) Project [codegen id : 77] -Output [6]: [ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_brand_id#81, i_class_id#82, i_category_id#83] -Input [8]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_item_sk#80, i_brand_id#81, i_class_id#82, i_category_id#83] +(90) Project [codegen id : 75] +Output [6]: [ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_brand_id#77, i_class_id#78, i_category_id#79] +Input [8]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_item_sk#76, i_brand_id#77, i_class_id#78, i_category_id#79] -(93) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#84] +(91) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#80] -(94) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#78] -Right keys [1]: [d_date_sk#84] +(92) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#74] +Right keys [1]: [d_date_sk#80] Join type: Inner Join condition: None -(95) Project [codegen id : 77] -Output [5]: [ws_quantity#76, ws_list_price#77, i_brand_id#81, i_class_id#82, i_category_id#83] -Input [7]: [ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_brand_id#81, i_class_id#82, i_category_id#83, d_date_sk#84] - -(96) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#76, ws_list_price#77, i_brand_id#81, i_class_id#82, i_category_id#83] -Keys [3]: [i_brand_id#81, i_class_id#82, i_category_id#83] -Functions [2]: [partial_sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77)), partial_count(1)] -Aggregate Attributes [3]: [sum#85, isEmpty#86, count#87] -Results [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] - -(97) CometColumnarExchange -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] -Arguments: hashpartitioning(i_brand_id#81, i_class_id#82, i_category_id#83, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(98) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] - -(99) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] -Keys [3]: [i_brand_id#81, i_class_id#82, i_category_id#83] -Functions [2]: [sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77))#91, count(1)#92] -Results [6]: [web AS channel#93, i_brand_id#81, i_class_id#82, i_category_id#83, sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77))#91 AS sales#94, count(1)#92 AS number_sales#95] - -(100) Filter [codegen id : 78] -Input [6]: [channel#93, i_brand_id#81, i_class_id#82, i_category_id#83, sales#94, number_sales#95] -Condition : (isnotnull(sales#94) AND (cast(sales#94 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(101) Union - -(102) HashAggregate [codegen id : 79] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [partial_sum(sales#50), partial_sum(number_sales#51)] -Aggregate Attributes [3]: [sum#96, isEmpty#97, sum#98] -Results [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] - -(103) CometColumnarExchange -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(104) CometColumnarToRow [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] - -(105) HashAggregate [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum(sales#50)#102 AS sum_sales#104, sum(number_sales#51)#103 AS number_sales#105] - -(106) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#106, i_class_id#107, i_category_id#108, sum#99, isEmpty#100, sum#101] - -(107) CometColumnarToRow [codegen id : 160] -Input [7]: [channel#49, i_brand_id#106, i_class_id#107, i_category_id#108, sum#99, isEmpty#100, sum#101] - -(108) HashAggregate [codegen id : 160] -Input [7]: [channel#49, i_brand_id#106, i_class_id#107, i_category_id#108, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#106, i_class_id#107, i_category_id#108] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [5]: [channel#49, i_brand_id#106, i_class_id#107, sum(sales#50)#102 AS sum_sales#109, sum(number_sales#51)#103 AS number_sales#110] - -(109) HashAggregate [codegen id : 160] -Input [5]: [channel#49, i_brand_id#106, i_class_id#107, sum_sales#109, number_sales#110] -Keys [3]: [channel#49, i_brand_id#106, i_class_id#107] -Functions [2]: [partial_sum(sum_sales#109), partial_sum(number_sales#110)] -Aggregate Attributes [3]: [sum#111, isEmpty#112, sum#113] -Results [6]: [channel#49, i_brand_id#106, i_class_id#107, sum#114, isEmpty#115, sum#116] - -(110) CometColumnarExchange -Input [6]: [channel#49, i_brand_id#106, i_class_id#107, sum#114, isEmpty#115, sum#116] -Arguments: hashpartitioning(channel#49, i_brand_id#106, i_class_id#107, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(111) CometColumnarToRow [codegen id : 161] -Input [6]: [channel#49, i_brand_id#106, i_class_id#107, sum#114, isEmpty#115, sum#116] - -(112) HashAggregate [codegen id : 161] -Input [6]: [channel#49, i_brand_id#106, i_class_id#107, sum#114, isEmpty#115, sum#116] -Keys [3]: [channel#49, i_brand_id#106, i_class_id#107] -Functions [2]: [sum(sum_sales#109), sum(number_sales#110)] -Aggregate Attributes [2]: [sum(sum_sales#109)#117, sum(number_sales#110)#118] -Results [6]: [channel#49, i_brand_id#106, i_class_id#107, null AS i_category_id#119, sum(sum_sales#109)#117 AS sum(sum_sales)#120, sum(number_sales#110)#118 AS sum(number_sales)#121] - -(113) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#122, i_class_id#123, i_category_id#124, sum#99, isEmpty#100, sum#101] - -(114) CometColumnarToRow [codegen id : 241] -Input [7]: [channel#49, i_brand_id#122, i_class_id#123, i_category_id#124, sum#99, isEmpty#100, sum#101] - -(115) HashAggregate [codegen id : 241] -Input [7]: [channel#49, i_brand_id#122, i_class_id#123, i_category_id#124, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#122, i_class_id#123, i_category_id#124] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [4]: [channel#49, i_brand_id#122, sum(sales#50)#102 AS sum_sales#125, sum(number_sales#51)#103 AS number_sales#126] - -(116) HashAggregate [codegen id : 241] -Input [4]: [channel#49, i_brand_id#122, sum_sales#125, number_sales#126] -Keys [2]: [channel#49, i_brand_id#122] -Functions [2]: [partial_sum(sum_sales#125), partial_sum(number_sales#126)] -Aggregate Attributes [3]: [sum#127, isEmpty#128, sum#129] -Results [5]: [channel#49, i_brand_id#122, sum#130, isEmpty#131, sum#132] - -(117) CometColumnarExchange -Input [5]: [channel#49, i_brand_id#122, sum#130, isEmpty#131, sum#132] -Arguments: hashpartitioning(channel#49, i_brand_id#122, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] - -(118) CometColumnarToRow [codegen id : 242] -Input [5]: [channel#49, i_brand_id#122, sum#130, isEmpty#131, sum#132] - -(119) HashAggregate [codegen id : 242] -Input [5]: [channel#49, i_brand_id#122, sum#130, isEmpty#131, sum#132] -Keys [2]: [channel#49, i_brand_id#122] -Functions [2]: [sum(sum_sales#125), sum(number_sales#126)] -Aggregate Attributes [2]: [sum(sum_sales#125)#133, sum(number_sales#126)#134] -Results [6]: [channel#49, i_brand_id#122, null AS i_class_id#135, null AS i_category_id#136, sum(sum_sales#125)#133 AS sum(sum_sales)#137, sum(number_sales#126)#134 AS sum(number_sales)#138] - -(120) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#139, i_class_id#140, i_category_id#141, sum#99, isEmpty#100, sum#101] - -(121) CometColumnarToRow [codegen id : 322] -Input [7]: [channel#49, i_brand_id#139, i_class_id#140, i_category_id#141, sum#99, isEmpty#100, sum#101] - -(122) HashAggregate [codegen id : 322] -Input [7]: [channel#49, i_brand_id#139, i_class_id#140, i_category_id#141, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#139, i_class_id#140, i_category_id#141] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [3]: [channel#49, sum(sales#50)#102 AS sum_sales#142, sum(number_sales#51)#103 AS number_sales#143] - -(123) HashAggregate [codegen id : 322] -Input [3]: [channel#49, sum_sales#142, number_sales#143] -Keys [1]: [channel#49] -Functions [2]: [partial_sum(sum_sales#142), partial_sum(number_sales#143)] -Aggregate Attributes [3]: [sum#144, isEmpty#145, sum#146] -Results [4]: [channel#49, sum#147, isEmpty#148, sum#149] - -(124) CometColumnarExchange -Input [4]: [channel#49, sum#147, isEmpty#148, sum#149] -Arguments: hashpartitioning(channel#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] - -(125) CometColumnarToRow [codegen id : 323] -Input [4]: [channel#49, sum#147, isEmpty#148, sum#149] - -(126) HashAggregate [codegen id : 323] -Input [4]: [channel#49, sum#147, isEmpty#148, sum#149] -Keys [1]: [channel#49] -Functions [2]: [sum(sum_sales#142), sum(number_sales#143)] -Aggregate Attributes [2]: [sum(sum_sales#142)#150, sum(number_sales#143)#151] -Results [6]: [channel#49, null AS i_brand_id#152, null AS i_class_id#153, null AS i_category_id#154, sum(sum_sales#142)#150 AS sum(sum_sales)#155, sum(number_sales#143)#151 AS sum(number_sales)#156] - -(127) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#49, i_brand_id#157, i_class_id#158, i_category_id#159, sum#99, isEmpty#100, sum#101] - -(128) CometColumnarToRow [codegen id : 403] -Input [7]: [channel#49, i_brand_id#157, i_class_id#158, i_category_id#159, sum#99, isEmpty#100, sum#101] - -(129) HashAggregate [codegen id : 403] -Input [7]: [channel#49, i_brand_id#157, i_class_id#158, i_category_id#159, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#157, i_class_id#158, i_category_id#159] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [2]: [sum(sales#50)#102 AS sum_sales#160, sum(number_sales#51)#103 AS number_sales#161] - -(130) HashAggregate [codegen id : 403] -Input [2]: [sum_sales#160, number_sales#161] +(93) Project [codegen id : 75] +Output [5]: [ws_quantity#72, ws_list_price#73, i_brand_id#77, i_class_id#78, i_category_id#79] +Input [7]: [ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_brand_id#77, i_class_id#78, i_category_id#79, d_date_sk#80] + +(94) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#72, ws_list_price#73, i_brand_id#77, i_class_id#78, i_category_id#79] +Keys [3]: [i_brand_id#77, i_class_id#78, i_category_id#79] +Functions [2]: [partial_sum((cast(ws_quantity#72 as decimal(10,0)) * ws_list_price#73)), partial_count(1)] +Aggregate Attributes [3]: [sum#81, isEmpty#82, count#83] +Results [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] + +(95) CometColumnarExchange +Input [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] +Arguments: hashpartitioning(i_brand_id#77, i_class_id#78, i_category_id#79, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(96) CometHashAggregate +Input [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] +Keys [3]: [i_brand_id#77, i_class_id#78, i_category_id#79] +Functions [2]: [sum((cast(ws_quantity#72 as decimal(10,0)) * ws_list_price#73)), count(1)] + +(97) CometFilter +Input [6]: [channel#87, i_brand_id#77, i_class_id#78, i_category_id#79, sales#88, number_sales#89] +Condition : (isnotnull(sales#88) AND (cast(sales#88 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(98) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Child 1 Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Child 2 Input [6]: [channel#87, i_brand_id#77, i_class_id#78, i_category_id#79, sales#88, number_sales#89] + +(99) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [partial_sum(sales#48), partial_sum(number_sales#49)] + +(100) CometExchange +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#90, isEmpty#91, sum#92] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(101) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(102) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#93, i_class_id#94, i_category_id#95, sum#90, isEmpty#91, sum#92] + +(103) CometHashAggregate +Input [7]: [channel#47, i_brand_id#93, i_class_id#94, i_category_id#95, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#93, i_class_id#94, i_category_id#95] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(104) CometHashAggregate +Input [5]: [channel#47, i_brand_id#93, i_class_id#94, sum_sales#96, number_sales#97] +Keys [3]: [channel#47, i_brand_id#93, i_class_id#94] +Functions [2]: [partial_sum(sum_sales#96), partial_sum(number_sales#97)] + +(105) CometExchange +Input [6]: [channel#47, i_brand_id#93, i_class_id#94, sum#98, isEmpty#99, sum#100] +Arguments: hashpartitioning(channel#47, i_brand_id#93, i_class_id#94, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] + +(106) CometHashAggregate +Input [6]: [channel#47, i_brand_id#93, i_class_id#94, sum#98, isEmpty#99, sum#100] +Keys [3]: [channel#47, i_brand_id#93, i_class_id#94] +Functions [2]: [sum(sum_sales#96), sum(number_sales#97)] + +(107) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#101, i_class_id#102, i_category_id#103, sum#90, isEmpty#91, sum#92] + +(108) CometHashAggregate +Input [7]: [channel#47, i_brand_id#101, i_class_id#102, i_category_id#103, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#101, i_class_id#102, i_category_id#103] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(109) CometHashAggregate +Input [4]: [channel#47, i_brand_id#101, sum_sales#104, number_sales#105] +Keys [2]: [channel#47, i_brand_id#101] +Functions [2]: [partial_sum(sum_sales#104), partial_sum(number_sales#105)] + +(110) CometExchange +Input [5]: [channel#47, i_brand_id#101, sum#106, isEmpty#107, sum#108] +Arguments: hashpartitioning(channel#47, i_brand_id#101, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] + +(111) CometHashAggregate +Input [5]: [channel#47, i_brand_id#101, sum#106, isEmpty#107, sum#108] +Keys [2]: [channel#47, i_brand_id#101] +Functions [2]: [sum(sum_sales#104), sum(number_sales#105)] + +(112) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#109, i_class_id#110, i_category_id#111, sum#90, isEmpty#91, sum#92] + +(113) CometHashAggregate +Input [7]: [channel#47, i_brand_id#109, i_class_id#110, i_category_id#111, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#109, i_class_id#110, i_category_id#111] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(114) CometHashAggregate +Input [3]: [channel#47, sum_sales#112, number_sales#113] +Keys [1]: [channel#47] +Functions [2]: [partial_sum(sum_sales#112), partial_sum(number_sales#113)] + +(115) CometExchange +Input [4]: [channel#47, sum#114, isEmpty#115, sum#116] +Arguments: hashpartitioning(channel#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=15] + +(116) CometHashAggregate +Input [4]: [channel#47, sum#114, isEmpty#115, sum#116] +Keys [1]: [channel#47] +Functions [2]: [sum(sum_sales#112), sum(number_sales#113)] + +(117) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#47, i_brand_id#117, i_class_id#118, i_category_id#119, sum#90, isEmpty#91, sum#92] + +(118) CometHashAggregate +Input [7]: [channel#47, i_brand_id#117, i_class_id#118, i_category_id#119, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#117, i_class_id#118, i_category_id#119] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(119) CometHashAggregate +Input [2]: [sum_sales#120, number_sales#121] Keys: [] -Functions [2]: [partial_sum(sum_sales#160), partial_sum(number_sales#161)] -Aggregate Attributes [3]: [sum#162, isEmpty#163, sum#164] -Results [3]: [sum#165, isEmpty#166, sum#167] +Functions [2]: [partial_sum(sum_sales#120), partial_sum(number_sales#121)] -(131) CometColumnarExchange -Input [3]: [sum#165, isEmpty#166, sum#167] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] +(120) CometExchange +Input [3]: [sum#122, isEmpty#123, sum#124] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=16] -(132) CometColumnarToRow [codegen id : 404] -Input [3]: [sum#165, isEmpty#166, sum#167] - -(133) HashAggregate [codegen id : 404] -Input [3]: [sum#165, isEmpty#166, sum#167] +(121) CometHashAggregate +Input [3]: [sum#122, isEmpty#123, sum#124] Keys: [] -Functions [2]: [sum(sum_sales#160), sum(number_sales#161)] -Aggregate Attributes [2]: [sum(sum_sales#160)#168, sum(number_sales#161)#169] -Results [6]: [null AS channel#170, null AS i_brand_id#171, null AS i_class_id#172, null AS i_category_id#173, sum(sum_sales#160)#168 AS sum(sum_sales)#174, sum(number_sales#161)#169 AS sum(number_sales)#175] - -(134) Union - -(135) HashAggregate [codegen id : 405] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +Functions [2]: [sum(sum_sales#120), sum(number_sales#121)] + +(122) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] +Child 1 Input [6]: [channel#47, i_brand_id#93, i_class_id#94, i_category_id#127, sum(sum_sales)#128, sum(number_sales)#129] +Child 2 Input [6]: [channel#47, i_brand_id#101, i_class_id#130, i_category_id#131, sum(sum_sales)#132, sum(number_sales)#133] +Child 3 Input [6]: [channel#47, i_brand_id#134, i_class_id#135, i_category_id#136, sum(sum_sales)#137, sum(number_sales)#138] +Child 4 Input [6]: [channel#139, i_brand_id#140, i_class_id#141, i_category_id#142, sum(sum_sales)#143, sum(number_sales)#144] + +(123) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] Functions: [] -Aggregate Attributes: [] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -(136) CometColumnarExchange -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=17] +(124) CometExchange +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=17] -(137) CometHashAggregate -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(125) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] Functions: [] -(138) CometTakeOrderedAndProject -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#49 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#49,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#104,number_sales#105]), [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105], 100, 0, [channel#49 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(126) CometTakeOrderedAndProject +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#47 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#125,number_sales#126]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126], 100, 0, [channel#47 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] -(139) CometColumnarToRow [codegen id : 406] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(127) CometColumnarToRow [codegen id : 376] +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#125, number_sales#126] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (159) -+- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- Union (155) - :- * Project (144) - : +- * BroadcastHashJoin Inner BuildRight (143) - : :- * ColumnarToRow (141) - : : +- Scan parquet spark_catalog.default.store_sales (140) - : +- ReusedExchange (142) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * ColumnarToRow (146) - : : +- Scan parquet spark_catalog.default.catalog_sales (145) - : +- ReusedExchange (147) - +- * Project (154) - +- * BroadcastHashJoin Inner BuildRight (153) - :- * ColumnarToRow (151) - : +- Scan parquet spark_catalog.default.web_sales (150) - +- ReusedExchange (152) - - -(140) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#176, ss_list_price#177, ss_sold_date_sk#178] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (147) ++- CometHashAggregate (146) + +- CometColumnarExchange (145) + +- * HashAggregate (144) + +- Union (143) + :- * Project (132) + : +- * BroadcastHashJoin Inner BuildRight (131) + : :- * ColumnarToRow (129) + : : +- Scan parquet spark_catalog.default.store_sales (128) + : +- ReusedExchange (130) + :- * Project (137) + : +- * BroadcastHashJoin Inner BuildRight (136) + : :- * ColumnarToRow (134) + : : +- Scan parquet spark_catalog.default.catalog_sales (133) + : +- ReusedExchange (135) + +- * Project (142) + +- * BroadcastHashJoin Inner BuildRight (141) + :- * ColumnarToRow (139) + : +- Scan parquet spark_catalog.default.web_sales (138) + +- ReusedExchange (140) + + +(128) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#145, ss_list_price#146, ss_sold_date_sk#147] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#178), dynamicpruningexpression(ss_sold_date_sk#178 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#147), dynamicpruningexpression(ss_sold_date_sk#147 IN dynamicpruning#12)] ReadSchema: struct -(141) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#176, ss_list_price#177, ss_sold_date_sk#178] +(129) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#145, ss_list_price#146, ss_sold_date_sk#147] -(142) ReusedExchange [Reuses operator id: 174] -Output [1]: [d_date_sk#179] +(130) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#148] -(143) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#178] -Right keys [1]: [d_date_sk#179] +(131) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#147] +Right keys [1]: [d_date_sk#148] Join type: Inner Join condition: None -(144) Project [codegen id : 2] -Output [2]: [ss_quantity#176 AS quantity#180, ss_list_price#177 AS list_price#181] -Input [4]: [ss_quantity#176, ss_list_price#177, ss_sold_date_sk#178, d_date_sk#179] +(132) Project [codegen id : 2] +Output [2]: [ss_quantity#145 AS quantity#149, ss_list_price#146 AS list_price#150] +Input [4]: [ss_quantity#145, ss_list_price#146, ss_sold_date_sk#147, d_date_sk#148] -(145) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#182, cs_list_price#183, cs_sold_date_sk#184] +(133) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#151, cs_list_price#152, cs_sold_date_sk#153] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#184), dynamicpruningexpression(cs_sold_date_sk#184 IN dynamicpruning#185)] +PartitionFilters: [isnotnull(cs_sold_date_sk#153), dynamicpruningexpression(cs_sold_date_sk#153 IN dynamicpruning#154)] ReadSchema: struct -(146) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#182, cs_list_price#183, cs_sold_date_sk#184] +(134) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#151, cs_list_price#152, cs_sold_date_sk#153] -(147) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#186] +(135) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#155] -(148) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#184] -Right keys [1]: [d_date_sk#186] +(136) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#153] +Right keys [1]: [d_date_sk#155] Join type: Inner Join condition: None -(149) Project [codegen id : 4] -Output [2]: [cs_quantity#182 AS quantity#187, cs_list_price#183 AS list_price#188] -Input [4]: [cs_quantity#182, cs_list_price#183, cs_sold_date_sk#184, d_date_sk#186] +(137) Project [codegen id : 4] +Output [2]: [cs_quantity#151 AS quantity#156, cs_list_price#152 AS list_price#157] +Input [4]: [cs_quantity#151, cs_list_price#152, cs_sold_date_sk#153, d_date_sk#155] -(150) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#189, ws_list_price#190, ws_sold_date_sk#191] +(138) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#158, ws_list_price#159, ws_sold_date_sk#160] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#191), dynamicpruningexpression(ws_sold_date_sk#191 IN dynamicpruning#185)] +PartitionFilters: [isnotnull(ws_sold_date_sk#160), dynamicpruningexpression(ws_sold_date_sk#160 IN dynamicpruning#154)] ReadSchema: struct -(151) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#189, ws_list_price#190, ws_sold_date_sk#191] +(139) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#158, ws_list_price#159, ws_sold_date_sk#160] -(152) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#192] +(140) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#161] -(153) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#191] -Right keys [1]: [d_date_sk#192] +(141) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#160] +Right keys [1]: [d_date_sk#161] Join type: Inner Join condition: None -(154) Project [codegen id : 6] -Output [2]: [ws_quantity#189 AS quantity#193, ws_list_price#190 AS list_price#194] -Input [4]: [ws_quantity#189, ws_list_price#190, ws_sold_date_sk#191, d_date_sk#192] +(142) Project [codegen id : 6] +Output [2]: [ws_quantity#158 AS quantity#162, ws_list_price#159 AS list_price#163] +Input [4]: [ws_quantity#158, ws_list_price#159, ws_sold_date_sk#160, d_date_sk#161] -(155) Union +(143) Union -(156) HashAggregate [codegen id : 7] -Input [2]: [quantity#180, list_price#181] +(144) HashAggregate [codegen id : 7] +Input [2]: [quantity#149, list_price#150] Keys: [] -Functions [1]: [partial_avg((cast(quantity#180 as decimal(10,0)) * list_price#181))] -Aggregate Attributes [2]: [sum#195, count#196] -Results [2]: [sum#197, count#198] +Functions [1]: [partial_avg((cast(quantity#149 as decimal(10,0)) * list_price#150))] +Aggregate Attributes [2]: [sum#164, count#165] +Results [2]: [sum#166, count#167] -(157) CometColumnarExchange -Input [2]: [sum#197, count#198] +(145) CometColumnarExchange +Input [2]: [sum#166, count#167] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=18] -(158) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#197, count#198] - -(159) HashAggregate [codegen id : 8] -Input [2]: [sum#197, count#198] +(146) CometHashAggregate +Input [2]: [sum#166, count#167] Keys: [] -Functions [1]: [avg((cast(quantity#180 as decimal(10,0)) * list_price#181))] -Aggregate Attributes [1]: [avg((cast(quantity#180 as decimal(10,0)) * list_price#181))#199] -Results [1]: [avg((cast(quantity#180 as decimal(10,0)) * list_price#181))#199 AS average_sales#200] +Functions [1]: [avg((cast(quantity#149 as decimal(10,0)) * list_price#150))] + +(147) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#168] -Subquery:2 Hosting operator id = 140 Hosting Expression = ss_sold_date_sk#178 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 128 Hosting Expression = ss_sold_date_sk#147 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 145 Hosting Expression = cs_sold_date_sk#184 IN dynamicpruning#185 -BroadcastExchange (164) -+- * CometColumnarToRow (163) - +- CometProject (162) - +- CometFilter (161) - +- CometNativeScan parquet spark_catalog.default.date_dim (160) +Subquery:3 Hosting operator id = 133 Hosting Expression = cs_sold_date_sk#153 IN dynamicpruning#154 +BroadcastExchange (152) ++- * CometColumnarToRow (151) + +- CometProject (150) + +- CometFilter (149) + +- CometNativeScan parquet spark_catalog.default.date_dim (148) -(160) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#186, d_year#201] +(148) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#155, d_year#169] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(161) CometFilter -Input [2]: [d_date_sk#186, d_year#201] -Condition : (((isnotnull(d_year#201) AND (d_year#201 >= 1998)) AND (d_year#201 <= 2000)) AND isnotnull(d_date_sk#186)) +(149) CometFilter +Input [2]: [d_date_sk#155, d_year#169] +Condition : (((isnotnull(d_year#169) AND (d_year#169 >= 1998)) AND (d_year#169 <= 2000)) AND isnotnull(d_date_sk#155)) -(162) CometProject -Input [2]: [d_date_sk#186, d_year#201] -Arguments: [d_date_sk#186], [d_date_sk#186] +(150) CometProject +Input [2]: [d_date_sk#155, d_year#169] +Arguments: [d_date_sk#155], [d_date_sk#155] -(163) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#186] +(151) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#155] -(164) BroadcastExchange -Input [1]: [d_date_sk#186] +(152) BroadcastExchange +Input [1]: [d_date_sk#155] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=19] -Subquery:4 Hosting operator id = 150 Hosting Expression = ws_sold_date_sk#191 IN dynamicpruning#185 +Subquery:4 Hosting operator id = 138 Hosting Expression = ws_sold_date_sk#160 IN dynamicpruning#154 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (169) -+- * CometColumnarToRow (168) - +- CometProject (167) - +- CometFilter (166) - +- CometNativeScan parquet spark_catalog.default.date_dim (165) +BroadcastExchange (157) ++- * CometColumnarToRow (156) + +- CometProject (155) + +- CometFilter (154) + +- CometNativeScan parquet spark_catalog.default.date_dim (153) -(165) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#202, d_moy#203] +(153) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#170, d_moy#171] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(166) CometFilter -Input [3]: [d_date_sk#40, d_year#202, d_moy#203] -Condition : ((((isnotnull(d_year#202) AND isnotnull(d_moy#203)) AND (d_year#202 = 2000)) AND (d_moy#203 = 11)) AND isnotnull(d_date_sk#40)) +(154) CometFilter +Input [3]: [d_date_sk#40, d_year#170, d_moy#171] +Condition : ((((isnotnull(d_year#170) AND isnotnull(d_moy#171)) AND (d_year#170 = 2000)) AND (d_moy#171 = 11)) AND isnotnull(d_date_sk#40)) -(167) CometProject -Input [3]: [d_date_sk#40, d_year#202, d_moy#203] +(155) CometProject +Input [3]: [d_date_sk#40, d_year#170, d_moy#171] Arguments: [d_date_sk#40], [d_date_sk#40] -(168) CometColumnarToRow [codegen id : 1] +(156) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(169) BroadcastExchange +(157) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=20] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (174) -+- * CometColumnarToRow (173) - +- CometProject (172) - +- CometFilter (171) - +- CometNativeScan parquet spark_catalog.default.date_dim (170) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(170) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#204] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#172] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(171) CometFilter -Input [2]: [d_date_sk#24, d_year#204] -Condition : (((isnotnull(d_year#204) AND (d_year#204 >= 1999)) AND (d_year#204 <= 2001)) AND isnotnull(d_date_sk#24)) +(159) CometFilter +Input [2]: [d_date_sk#24, d_year#172] +Condition : (((isnotnull(d_year#172) AND (d_year#172 >= 1999)) AND (d_year#172 <= 2001)) AND isnotnull(d_date_sk#24)) -(172) CometProject -Input [2]: [d_date_sk#24, d_year#204] +(160) CometProject +Input [2]: [d_date_sk#24, d_year#172] Arguments: [d_date_sk#24], [d_date_sk#24] -(173) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(174) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=21] @@ -1009,12 +931,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:9 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#57 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 68 Hosting Expression = cs_sold_date_sk#55 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 100 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:11 Hosting operator id = 97 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#78 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#74 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/extended.txt index c6478057d9..5ff98541e8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/extended.txt @@ -1,2779 +1,2755 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Filter - : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 842 out of 2302 eligible operators (36%). Final plan contains 475 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 902 out of 2302 eligible operators (39%). Final plan contains 451 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/simplified.txt index 4458723393..22a040e61e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q14a.native_datafusion/simplified.txt @@ -1,276 +1,236 @@ -WholeStageCodegen (406) +WholeStageCodegen (376) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 - WholeStageCodegen (405) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - InputAdapter - Union - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - InputAdapter - Union - WholeStageCodegen (26) - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #14 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #8 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #15 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #15 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id] #2 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #14 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #8 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #15 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #15 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #7 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #7 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (1) CometColumnarToRow InputAdapter CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 - InputAdapter - ReusedExchange [d_date_sk] #8 + ReusedExchange [d_date_sk] #8 + InputAdapter + ReusedExchange [d_date_sk] #8 InputAdapter - BroadcastExchange #13 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #12 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (52) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (78) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (161) - HashAggregate [channel,i_brand_id,i_class_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id] #18 - WholeStageCodegen (160) - HashAggregate [channel,i_brand_id,i_class_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (242) - HashAggregate [channel,i_brand_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id] #19 - WholeStageCodegen (241) - HashAggregate [channel,i_brand_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #8 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #5 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (323) - HashAggregate [channel,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #20 - WholeStageCodegen (322) - HashAggregate [channel,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (404) - HashAggregate [sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #21 - WholeStageCodegen (403) - HashAggregate [sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id] #18 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,i_class_id,sum,isEmpty,sum] + CometHashAggregate [i_category_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id] #19 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,sum,isEmpty,sum] + CometHashAggregate [i_class_id,i_category_id,sum,isEmpty,sum] [channel,i_brand_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel] #20 + CometHashAggregate [sum_sales,number_sales] [channel,sum,isEmpty,sum] + CometHashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [channel,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange #21 + CometHashAggregate [sum_sales,number_sales] [sum,isEmpty,sum] + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/explain.txt index db9dbcc51a..f376f6b4ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/explain.txt @@ -1,165 +1,161 @@ == Physical Plan == -TakeOrderedAndProject (161) -+- Union (160) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (33) - : : +- * BroadcastHashJoin Inner BuildRight (32) - : : :- * Project (30) - : : : +- * BroadcastHashJoin Inner BuildRight (29) - : : : :- * Project (23) - : : : : +- * BroadcastHashJoin Inner BuildRight (22) - : : : : :- * Project (17) - : : : : : +- * BroadcastHashJoin Inner BuildRight (16) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * CometColumnarToRow (7) - : : : : : : +- CometProject (6) - : : : : : : +- CometFilter (5) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : : : +- BroadcastExchange (15) - : : : : : +- * CometColumnarToRow (14) - : : : : : +- CometProject (13) - : : : : : +- CometFilter (12) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) - : : : : +- BroadcastExchange (21) - : : : : +- * CometColumnarToRow (20) - : : : : +- CometFilter (19) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) - : : : +- BroadcastExchange (28) - : : : +- * CometColumnarToRow (27) - : : : +- CometProject (26) - : : : +- CometFilter (25) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) - : : +- ReusedExchange (31) - : +- BroadcastExchange (38) - : +- * CometColumnarToRow (37) - : +- CometProject (36) - : +- CometFilter (35) - : +- CometNativeScan parquet spark_catalog.default.item (34) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * Project (66) - : : +- * BroadcastHashJoin Inner BuildRight (65) - : : :- * Project (63) - : : : +- * BroadcastHashJoin Inner BuildRight (62) - : : : :- * Project (56) - : : : : +- * BroadcastHashJoin Inner BuildRight (55) - : : : : :- * Project (53) - : : : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : : : :- * Project (50) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : : : :- * Filter (47) - : : : : : : : +- * ColumnarToRow (46) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (45) - : : : : : : +- ReusedExchange (48) - : : : : : +- ReusedExchange (51) - : : : : +- ReusedExchange (54) - : : : +- BroadcastExchange (61) - : : : +- * CometColumnarToRow (60) - : : : +- CometProject (59) - : : : +- CometFilter (58) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (57) - : : +- ReusedExchange (64) - : +- ReusedExchange (67) - :- * HashAggregate (102) - : +- * CometColumnarToRow (101) - : +- CometColumnarExchange (100) - : +- * HashAggregate (99) - : +- * Project (98) - : +- * BroadcastHashJoin Inner BuildRight (97) - : :- * Project (95) - : : +- * BroadcastHashJoin Inner BuildRight (94) - : : :- * Project (92) - : : : +- * BroadcastHashJoin Inner BuildRight (91) - : : : :- * Project (85) - : : : : +- * BroadcastHashJoin Inner BuildRight (84) - : : : : :- * Project (82) - : : : : : +- * BroadcastHashJoin Inner BuildRight (81) - : : : : : :- * Project (79) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (78) - : : : : : : :- * Filter (76) - : : : : : : : +- * ColumnarToRow (75) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (74) - : : : : : : +- ReusedExchange (77) - : : : : : +- ReusedExchange (80) - : : : : +- ReusedExchange (83) - : : : +- BroadcastExchange (90) - : : : +- * CometColumnarToRow (89) - : : : +- CometProject (88) - : : : +- CometFilter (87) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (86) - : : +- ReusedExchange (93) - : +- ReusedExchange (96) - :- * HashAggregate (131) - : +- * CometColumnarToRow (130) - : +- CometColumnarExchange (129) - : +- * HashAggregate (128) - : +- * Project (127) - : +- * BroadcastHashJoin Inner BuildRight (126) - : :- * Project (124) - : : +- * BroadcastHashJoin Inner BuildRight (123) - : : :- * Project (121) - : : : +- * BroadcastHashJoin Inner BuildRight (120) - : : : :- * Project (114) - : : : : +- * BroadcastHashJoin Inner BuildRight (113) - : : : : :- * Project (111) - : : : : : +- * BroadcastHashJoin Inner BuildRight (110) - : : : : : :- * Project (108) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (107) - : : : : : : :- * Filter (105) - : : : : : : : +- * ColumnarToRow (104) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (103) - : : : : : : +- ReusedExchange (106) - : : : : : +- ReusedExchange (109) - : : : : +- ReusedExchange (112) - : : : +- BroadcastExchange (119) - : : : +- * CometColumnarToRow (118) - : : : +- CometProject (117) - : : : +- CometFilter (116) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (115) - : : +- ReusedExchange (122) - : +- ReusedExchange (125) - +- * HashAggregate (159) - +- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- * Project (155) - +- * BroadcastHashJoin Inner BuildRight (154) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * Project (146) - : : +- * BroadcastHashJoin Inner BuildRight (145) - : : :- * Project (143) - : : : +- * BroadcastHashJoin Inner BuildRight (142) - : : : :- * Project (140) - : : : : +- * BroadcastHashJoin Inner BuildRight (139) - : : : : :- * Project (137) - : : : : : +- * BroadcastHashJoin Inner BuildRight (136) - : : : : : :- * Filter (134) - : : : : : : +- * ColumnarToRow (133) - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (132) - : : : : : +- ReusedExchange (135) - : : : : +- ReusedExchange (138) - : : : +- ReusedExchange (141) - : : +- ReusedExchange (144) - : +- ReusedExchange (147) - +- BroadcastExchange (153) - +- * CometColumnarToRow (152) - +- CometFilter (151) - +- CometNativeScan parquet spark_catalog.default.item (150) +* CometColumnarToRow (157) ++- CometTakeOrderedAndProject (156) + +- CometUnion (155) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Project (30) + : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : :- * Project (23) + : : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : : :- * Project (17) + : : : : : +- * BroadcastHashJoin Inner BuildRight (16) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * CometColumnarToRow (7) + : : : : : : +- CometProject (6) + : : : : : : +- CometFilter (5) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : : : +- BroadcastExchange (15) + : : : : : +- * CometColumnarToRow (14) + : : : : : +- CometProject (13) + : : : : : +- CometFilter (12) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) + : : : : +- BroadcastExchange (21) + : : : : +- * CometColumnarToRow (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) + : : : +- BroadcastExchange (28) + : : : +- * CometColumnarToRow (27) + : : : +- CometProject (26) + : : : +- CometFilter (25) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) + : : +- ReusedExchange (31) + : +- BroadcastExchange (38) + : +- * CometColumnarToRow (37) + : +- CometProject (36) + : +- CometFilter (35) + : +- CometNativeScan parquet spark_catalog.default.item (34) + :- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (65) + : : +- * BroadcastHashJoin Inner BuildRight (64) + : : :- * Project (62) + : : : +- * BroadcastHashJoin Inner BuildRight (61) + : : : :- * Project (55) + : : : : +- * BroadcastHashJoin Inner BuildRight (54) + : : : : :- * Project (52) + : : : : : +- * BroadcastHashJoin Inner BuildRight (51) + : : : : : :- * Project (49) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (48) + : : : : : : :- * Filter (46) + : : : : : : : +- * ColumnarToRow (45) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (44) + : : : : : : +- ReusedExchange (47) + : : : : : +- ReusedExchange (50) + : : : : +- ReusedExchange (53) + : : : +- BroadcastExchange (60) + : : : +- * CometColumnarToRow (59) + : : : +- CometProject (58) + : : : +- CometFilter (57) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (56) + : : +- ReusedExchange (63) + : +- ReusedExchange (66) + :- CometHashAggregate (99) + : +- CometColumnarExchange (98) + : +- * HashAggregate (97) + : +- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * Project (93) + : : +- * BroadcastHashJoin Inner BuildRight (92) + : : :- * Project (90) + : : : +- * BroadcastHashJoin Inner BuildRight (89) + : : : :- * Project (83) + : : : : +- * BroadcastHashJoin Inner BuildRight (82) + : : : : :- * Project (80) + : : : : : +- * BroadcastHashJoin Inner BuildRight (79) + : : : : : :- * Project (77) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (76) + : : : : : : :- * Filter (74) + : : : : : : : +- * ColumnarToRow (73) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (72) + : : : : : : +- ReusedExchange (75) + : : : : : +- ReusedExchange (78) + : : : : +- ReusedExchange (81) + : : : +- BroadcastExchange (88) + : : : +- * CometColumnarToRow (87) + : : : +- CometProject (86) + : : : +- CometFilter (85) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (84) + : : +- ReusedExchange (91) + : +- ReusedExchange (94) + :- CometHashAggregate (127) + : +- CometColumnarExchange (126) + : +- * HashAggregate (125) + : +- * Project (124) + : +- * BroadcastHashJoin Inner BuildRight (123) + : :- * Project (121) + : : +- * BroadcastHashJoin Inner BuildRight (120) + : : :- * Project (118) + : : : +- * BroadcastHashJoin Inner BuildRight (117) + : : : :- * Project (111) + : : : : +- * BroadcastHashJoin Inner BuildRight (110) + : : : : :- * Project (108) + : : : : : +- * BroadcastHashJoin Inner BuildRight (107) + : : : : : :- * Project (105) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (104) + : : : : : : :- * Filter (102) + : : : : : : : +- * ColumnarToRow (101) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (100) + : : : : : : +- ReusedExchange (103) + : : : : : +- ReusedExchange (106) + : : : : +- ReusedExchange (109) + : : : +- BroadcastExchange (116) + : : : +- * CometColumnarToRow (115) + : : : +- CometProject (114) + : : : +- CometFilter (113) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (112) + : : +- ReusedExchange (119) + : +- ReusedExchange (122) + +- CometHashAggregate (154) + +- CometColumnarExchange (153) + +- * HashAggregate (152) + +- * Project (151) + +- * BroadcastHashJoin Inner BuildRight (150) + :- * Project (145) + : +- * BroadcastHashJoin Inner BuildRight (144) + : :- * Project (142) + : : +- * BroadcastHashJoin Inner BuildRight (141) + : : :- * Project (139) + : : : +- * BroadcastHashJoin Inner BuildRight (138) + : : : :- * Project (136) + : : : : +- * BroadcastHashJoin Inner BuildRight (135) + : : : : :- * Project (133) + : : : : : +- * BroadcastHashJoin Inner BuildRight (132) + : : : : : :- * Filter (130) + : : : : : : +- * ColumnarToRow (129) + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (128) + : : : : : +- ReusedExchange (131) + : : : : +- ReusedExchange (134) + : : : +- ReusedExchange (137) + : : +- ReusedExchange (140) + : +- ReusedExchange (143) + +- BroadcastExchange (149) + +- * CometColumnarToRow (148) + +- CometFilter (147) + +- CometNativeScan parquet spark_catalog.default.item (146) (1) Scan parquet spark_catalog.default.catalog_sales @@ -301,7 +297,7 @@ Join condition: None Output [12]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#25, ca_country#24] Input [14]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_addr_sk#17, c_birth_year#19, ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24] -(31) ReusedExchange [Reuses operator id: 166] +(31) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#26] (32) BroadcastHashJoin [codegen id : 7] @@ -357,588 +353,571 @@ Results [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, c Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Keys [4]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#69, avg(agg2#35)#70, avg(agg3#36)#71, avg(agg4#37)#72, avg(agg5#38)#73, avg(agg6#39)#74, avg(agg7#40)#75] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(agg1#34)#69 AS agg1#76, avg(agg2#35)#70 AS agg2#77, avg(agg3#36)#71 AS agg3#78, avg(agg4#37)#72 AS agg4#79, avg(agg5#38)#73 AS agg5#80, avg(agg6#39)#74 AS agg6#81, avg(agg7#40)#75 AS agg7#82] -(45) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(44) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#91), dynamicpruningexpression(cs_sold_date_sk#91 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#77), dynamicpruningexpression(cs_sold_date_sk#77 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(46) ColumnarToRow [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(45) ColumnarToRow [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] -(47) Filter [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] -Condition : ((isnotnull(cs_bill_cdemo_sk#84) AND isnotnull(cs_bill_customer_sk#83)) AND isnotnull(cs_item_sk#85)) +(46) Filter [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] +Condition : ((isnotnull(cs_bill_cdemo_sk#70) AND isnotnull(cs_bill_customer_sk#69)) AND isnotnull(cs_item_sk#71)) -(48) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#92, cd_dep_count#93] +(47) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#78, cd_dep_count#79] -(49) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_cdemo_sk#84] -Right keys [1]: [cd_demo_sk#92] +(48) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_cdemo_sk#70] +Right keys [1]: [cd_demo_sk#78] Join type: Inner Join condition: None -(50) Project [codegen id : 15] -Output [9]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93] -Input [11]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_demo_sk#92, cd_dep_count#93] +(49) Project [codegen id : 14] +Output [9]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79] +Input [11]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_demo_sk#78, cd_dep_count#79] -(51) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(50) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(52) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_customer_sk#83] -Right keys [1]: [c_customer_sk#94] +(51) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_customer_sk#69] +Right keys [1]: [c_customer_sk#80] Join type: Inner Join condition: None -(53) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] -Input [13]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(52) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] +Input [13]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(54) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#98] +(53) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#84] -(55) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_cdemo_sk#95] -Right keys [1]: [cd_demo_sk#98] +(54) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_cdemo_sk#81] +Right keys [1]: [cd_demo_sk#84] Join type: Inner Join condition: None -(56) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97, cd_demo_sk#98] +(55) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83, cd_demo_sk#84] -(57) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#99, ca_state#100, ca_country#101] +(56) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#85, ca_state#86, ca_country#87] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(58) CometFilter -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#99)) +(57) CometFilter +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#86, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#85)) -(59) CometProject -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Arguments: [ca_address_sk#99, ca_state#25, ca_country#101], [ca_address_sk#99, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#100, 2, true, false, true) AS ca_state#25, ca_country#101] +(58) CometProject +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Arguments: [ca_address_sk#85, ca_state#25, ca_country#87], [ca_address_sk#85, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#86, 2, true, false, true) AS ca_state#25, ca_country#87] -(60) CometColumnarToRow [codegen id : 12] -Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101] +(59) CometColumnarToRow [codegen id : 11] +Input [3]: [ca_address_sk#85, ca_state#25, ca_country#87] -(61) BroadcastExchange -Input [3]: [ca_address_sk#99, ca_state#25, ca_country#101] +(60) BroadcastExchange +Input [3]: [ca_address_sk#85, ca_state#25, ca_country#87] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -(62) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_addr_sk#96] -Right keys [1]: [ca_address_sk#99] +(61) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_addr_sk#82] +Right keys [1]: [ca_address_sk#85] Join type: Inner Join condition: None -(63) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101] -Input [13]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97, ca_address_sk#99, ca_state#25, ca_country#101] +(62) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87] +Input [13]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83, ca_address_sk#85, ca_state#25, ca_country#87] -(64) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#102] +(63) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#88] -(65) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_sold_date_sk#91] -Right keys [1]: [d_date_sk#102] +(64) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_sold_date_sk#77] +Right keys [1]: [d_date_sk#88] Join type: Inner Join condition: None -(66) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, d_date_sk#102] +(65) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87, d_date_sk#88] -(67) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#103, i_item_id#29] +(66) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#89, i_item_id#29] -(68) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_item_sk#85] -Right keys [1]: [i_item_sk#103] +(67) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_item_sk#71] +Right keys [1]: [i_item_sk#89] Join type: Inner Join condition: None -(69) Project [codegen id : 15] -Output [10]: [i_item_id#29, ca_country#101, ca_state#25, cast(cs_quantity#86 as decimal(12,2)) AS agg1#104, cast(cs_list_price#87 as decimal(12,2)) AS agg2#105, cast(cs_coupon_amt#89 as decimal(12,2)) AS agg3#106, cast(cs_sales_price#88 as decimal(12,2)) AS agg4#107, cast(cs_net_profit#90 as decimal(12,2)) AS agg5#108, cast(c_birth_year#97 as decimal(12,2)) AS agg6#109, cast(cd_dep_count#93 as decimal(12,2)) AS agg7#110] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#25, ca_country#101, i_item_sk#103, i_item_id#29] - -(70) HashAggregate [codegen id : 15] -Input [10]: [i_item_id#29, ca_country#101, ca_state#25, agg1#104, agg2#105, agg3#106, agg4#107, agg5#108, agg6#109, agg7#110] -Keys [3]: [i_item_id#29, ca_country#101, ca_state#25] -Functions [7]: [partial_avg(agg1#104), partial_avg(agg2#105), partial_avg(agg3#106), partial_avg(agg4#107), partial_avg(agg5#108), partial_avg(agg6#109), partial_avg(agg7#110)] -Aggregate Attributes [14]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124] -Results [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138] - -(71) CometColumnarExchange -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138] -Arguments: hashpartitioning(i_item_id#29, ca_country#101, ca_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(72) CometColumnarToRow [codegen id : 16] -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138] - -(73) HashAggregate [codegen id : 16] -Input [17]: [i_item_id#29, ca_country#101, ca_state#25, sum#125, count#126, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138] -Keys [3]: [i_item_id#29, ca_country#101, ca_state#25] -Functions [7]: [avg(agg1#104), avg(agg2#105), avg(agg3#106), avg(agg4#107), avg(agg5#108), avg(agg6#109), avg(agg7#110)] -Aggregate Attributes [7]: [avg(agg1#104)#139, avg(agg2#105)#140, avg(agg3#106)#141, avg(agg4#107)#142, avg(agg5#108)#143, avg(agg6#109)#144, avg(agg7#110)#145] -Results [11]: [i_item_id#29, ca_country#101, ca_state#25, null AS county#146, avg(agg1#104)#139 AS agg1#147, avg(agg2#105)#140 AS agg2#148, avg(agg3#106)#141 AS agg3#149, avg(agg4#107)#142 AS agg4#150, avg(agg5#108)#143 AS agg5#151, avg(agg6#109)#144 AS agg6#152, avg(agg7#110)#145 AS agg7#153] - -(74) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162] +(68) Project [codegen id : 14] +Output [10]: [i_item_id#29, ca_country#87, ca_state#25, cast(cs_quantity#72 as decimal(12,2)) AS agg1#90, cast(cs_list_price#73 as decimal(12,2)) AS agg2#91, cast(cs_coupon_amt#75 as decimal(12,2)) AS agg3#92, cast(cs_sales_price#74 as decimal(12,2)) AS agg4#93, cast(cs_net_profit#76 as decimal(12,2)) AS agg5#94, cast(c_birth_year#83 as decimal(12,2)) AS agg6#95, cast(cd_dep_count#79 as decimal(12,2)) AS agg7#96] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#25, ca_country#87, i_item_sk#89, i_item_id#29] + +(69) HashAggregate [codegen id : 14] +Input [10]: [i_item_id#29, ca_country#87, ca_state#25, agg1#90, agg2#91, agg3#92, agg4#93, agg5#94, agg6#95, agg7#96] +Keys [3]: [i_item_id#29, ca_country#87, ca_state#25] +Functions [7]: [partial_avg(agg1#90), partial_avg(agg2#91), partial_avg(agg3#92), partial_avg(agg4#93), partial_avg(agg5#94), partial_avg(agg6#95), partial_avg(agg7#96)] +Aggregate Attributes [14]: [sum#97, count#98, sum#99, count#100, sum#101, count#102, sum#103, count#104, sum#105, count#106, sum#107, count#108, sum#109, count#110] +Results [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124] + +(70) CometColumnarExchange +Input [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124] +Arguments: hashpartitioning(i_item_id#29, ca_country#87, ca_state#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [17]: [i_item_id#29, ca_country#87, ca_state#25, sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124] +Keys [3]: [i_item_id#29, ca_country#87, ca_state#25] +Functions [7]: [avg(agg1#90), avg(agg2#91), avg(agg3#92), avg(agg4#93), avg(agg5#94), avg(agg6#95), avg(agg7#96)] + +(72) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#125, cs_bill_cdemo_sk#126, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#162), dynamicpruningexpression(cs_sold_date_sk#162 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#133), dynamicpruningexpression(cs_sold_date_sk#133 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(75) ColumnarToRow [codegen id : 23] -Input [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162] +(73) ColumnarToRow [codegen id : 21] +Input [9]: [cs_bill_customer_sk#125, cs_bill_cdemo_sk#126, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133] -(76) Filter [codegen id : 23] -Input [9]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162] -Condition : ((isnotnull(cs_bill_cdemo_sk#155) AND isnotnull(cs_bill_customer_sk#154)) AND isnotnull(cs_item_sk#156)) +(74) Filter [codegen id : 21] +Input [9]: [cs_bill_customer_sk#125, cs_bill_cdemo_sk#126, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133] +Condition : ((isnotnull(cs_bill_cdemo_sk#126) AND isnotnull(cs_bill_customer_sk#125)) AND isnotnull(cs_item_sk#127)) -(77) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#163, cd_dep_count#164] +(75) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#134, cd_dep_count#135] -(78) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_cdemo_sk#155] -Right keys [1]: [cd_demo_sk#163] +(76) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_cdemo_sk#126] +Right keys [1]: [cd_demo_sk#134] Join type: Inner Join condition: None -(79) Project [codegen id : 23] -Output [9]: [cs_bill_customer_sk#154, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164] -Input [11]: [cs_bill_customer_sk#154, cs_bill_cdemo_sk#155, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_demo_sk#163, cd_dep_count#164] +(77) Project [codegen id : 21] +Output [9]: [cs_bill_customer_sk#125, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135] +Input [11]: [cs_bill_customer_sk#125, cs_bill_cdemo_sk#126, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_demo_sk#134, cd_dep_count#135] -(80) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#165, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168] +(78) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#136, c_current_cdemo_sk#137, c_current_addr_sk#138, c_birth_year#139] -(81) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_customer_sk#154] -Right keys [1]: [c_customer_sk#165] +(79) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_customer_sk#125] +Right keys [1]: [c_customer_sk#136] Join type: Inner Join condition: None -(82) Project [codegen id : 23] -Output [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168] -Input [13]: [cs_bill_customer_sk#154, cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_customer_sk#165, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168] +(80) Project [codegen id : 21] +Output [11]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_current_cdemo_sk#137, c_current_addr_sk#138, c_birth_year#139] +Input [13]: [cs_bill_customer_sk#125, cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_customer_sk#136, c_current_cdemo_sk#137, c_current_addr_sk#138, c_birth_year#139] -(83) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#169] +(81) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#140] -(84) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_cdemo_sk#166] -Right keys [1]: [cd_demo_sk#169] +(82) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_cdemo_sk#137] +Right keys [1]: [cd_demo_sk#140] Join type: Inner Join condition: None -(85) Project [codegen id : 23] -Output [10]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_addr_sk#167, c_birth_year#168] -Input [12]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_cdemo_sk#166, c_current_addr_sk#167, c_birth_year#168, cd_demo_sk#169] +(83) Project [codegen id : 21] +Output [10]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_current_addr_sk#138, c_birth_year#139] +Input [12]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_current_cdemo_sk#137, c_current_addr_sk#138, c_birth_year#139, cd_demo_sk#140] -(86) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#170, ca_state#171, ca_country#172] +(84) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#141, ca_state#142, ca_country#143] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(87) CometFilter -Input [3]: [ca_address_sk#170, ca_state#171, ca_country#172] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#171, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#170)) +(85) CometFilter +Input [3]: [ca_address_sk#141, ca_state#142, ca_country#143] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#142, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#141)) -(88) CometProject -Input [3]: [ca_address_sk#170, ca_state#171, ca_country#172] -Arguments: [ca_address_sk#170, ca_country#172], [ca_address_sk#170, ca_country#172] +(86) CometProject +Input [3]: [ca_address_sk#141, ca_state#142, ca_country#143] +Arguments: [ca_address_sk#141, ca_country#143], [ca_address_sk#141, ca_country#143] -(89) CometColumnarToRow [codegen id : 20] -Input [2]: [ca_address_sk#170, ca_country#172] +(87) CometColumnarToRow [codegen id : 18] +Input [2]: [ca_address_sk#141, ca_country#143] -(90) BroadcastExchange -Input [2]: [ca_address_sk#170, ca_country#172] +(88) BroadcastExchange +Input [2]: [ca_address_sk#141, ca_country#143] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -(91) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_addr_sk#167] -Right keys [1]: [ca_address_sk#170] +(89) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_addr_sk#138] +Right keys [1]: [ca_address_sk#141] Join type: Inner Join condition: None -(92) Project [codegen id : 23] -Output [10]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_birth_year#168, ca_country#172] -Input [12]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_current_addr_sk#167, c_birth_year#168, ca_address_sk#170, ca_country#172] +(90) Project [codegen id : 21] +Output [10]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_birth_year#139, ca_country#143] +Input [12]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_current_addr_sk#138, c_birth_year#139, ca_address_sk#141, ca_country#143] -(93) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#173] +(91) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#144] -(94) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_sold_date_sk#162] -Right keys [1]: [d_date_sk#173] +(92) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_sold_date_sk#133] +Right keys [1]: [d_date_sk#144] Join type: Inner Join condition: None -(95) Project [codegen id : 23] -Output [9]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cd_dep_count#164, c_birth_year#168, ca_country#172] -Input [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cs_sold_date_sk#162, cd_dep_count#164, c_birth_year#168, ca_country#172, d_date_sk#173] +(93) Project [codegen id : 21] +Output [9]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cd_dep_count#135, c_birth_year#139, ca_country#143] +Input [11]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cs_sold_date_sk#133, cd_dep_count#135, c_birth_year#139, ca_country#143, d_date_sk#144] -(96) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#174, i_item_id#29] +(94) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#145, i_item_id#29] -(97) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_item_sk#156] -Right keys [1]: [i_item_sk#174] +(95) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_item_sk#127] +Right keys [1]: [i_item_sk#145] Join type: Inner Join condition: None -(98) Project [codegen id : 23] -Output [9]: [i_item_id#29, ca_country#172, cast(cs_quantity#157 as decimal(12,2)) AS agg1#175, cast(cs_list_price#158 as decimal(12,2)) AS agg2#176, cast(cs_coupon_amt#160 as decimal(12,2)) AS agg3#177, cast(cs_sales_price#159 as decimal(12,2)) AS agg4#178, cast(cs_net_profit#161 as decimal(12,2)) AS agg5#179, cast(c_birth_year#168 as decimal(12,2)) AS agg6#180, cast(cd_dep_count#164 as decimal(12,2)) AS agg7#181] -Input [11]: [cs_item_sk#156, cs_quantity#157, cs_list_price#158, cs_sales_price#159, cs_coupon_amt#160, cs_net_profit#161, cd_dep_count#164, c_birth_year#168, ca_country#172, i_item_sk#174, i_item_id#29] - -(99) HashAggregate [codegen id : 23] -Input [9]: [i_item_id#29, ca_country#172, agg1#175, agg2#176, agg3#177, agg4#178, agg5#179, agg6#180, agg7#181] -Keys [2]: [i_item_id#29, ca_country#172] -Functions [7]: [partial_avg(agg1#175), partial_avg(agg2#176), partial_avg(agg3#177), partial_avg(agg4#178), partial_avg(agg5#179), partial_avg(agg6#180), partial_avg(agg7#181)] -Aggregate Attributes [14]: [sum#182, count#183, sum#184, count#185, sum#186, count#187, sum#188, count#189, sum#190, count#191, sum#192, count#193, sum#194, count#195] -Results [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209] - -(100) CometColumnarExchange -Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209] -Arguments: hashpartitioning(i_item_id#29, ca_country#172, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(101) CometColumnarToRow [codegen id : 24] -Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209] - -(102) HashAggregate [codegen id : 24] -Input [16]: [i_item_id#29, ca_country#172, sum#196, count#197, sum#198, count#199, sum#200, count#201, sum#202, count#203, sum#204, count#205, sum#206, count#207, sum#208, count#209] -Keys [2]: [i_item_id#29, ca_country#172] -Functions [7]: [avg(agg1#175), avg(agg2#176), avg(agg3#177), avg(agg4#178), avg(agg5#179), avg(agg6#180), avg(agg7#181)] -Aggregate Attributes [7]: [avg(agg1#175)#210, avg(agg2#176)#211, avg(agg3#177)#212, avg(agg4#178)#213, avg(agg5#179)#214, avg(agg6#180)#215, avg(agg7#181)#216] -Results [11]: [i_item_id#29, ca_country#172, null AS ca_state#217, null AS county#218, avg(agg1#175)#210 AS agg1#219, avg(agg2#176)#211 AS agg2#220, avg(agg3#177)#212 AS agg3#221, avg(agg4#178)#213 AS agg4#222, avg(agg5#179)#214 AS agg5#223, avg(agg6#180)#215 AS agg6#224, avg(agg7#181)#216 AS agg7#225] - -(103) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234] +(96) Project [codegen id : 21] +Output [9]: [i_item_id#29, ca_country#143, cast(cs_quantity#128 as decimal(12,2)) AS agg1#146, cast(cs_list_price#129 as decimal(12,2)) AS agg2#147, cast(cs_coupon_amt#131 as decimal(12,2)) AS agg3#148, cast(cs_sales_price#130 as decimal(12,2)) AS agg4#149, cast(cs_net_profit#132 as decimal(12,2)) AS agg5#150, cast(c_birth_year#139 as decimal(12,2)) AS agg6#151, cast(cd_dep_count#135 as decimal(12,2)) AS agg7#152] +Input [11]: [cs_item_sk#127, cs_quantity#128, cs_list_price#129, cs_sales_price#130, cs_coupon_amt#131, cs_net_profit#132, cd_dep_count#135, c_birth_year#139, ca_country#143, i_item_sk#145, i_item_id#29] + +(97) HashAggregate [codegen id : 21] +Input [9]: [i_item_id#29, ca_country#143, agg1#146, agg2#147, agg3#148, agg4#149, agg5#150, agg6#151, agg7#152] +Keys [2]: [i_item_id#29, ca_country#143] +Functions [7]: [partial_avg(agg1#146), partial_avg(agg2#147), partial_avg(agg3#148), partial_avg(agg4#149), partial_avg(agg5#150), partial_avg(agg6#151), partial_avg(agg7#152)] +Aggregate Attributes [14]: [sum#153, count#154, sum#155, count#156, sum#157, count#158, sum#159, count#160, sum#161, count#162, sum#163, count#164, sum#165, count#166] +Results [16]: [i_item_id#29, ca_country#143, sum#167, count#168, sum#169, count#170, sum#171, count#172, sum#173, count#174, sum#175, count#176, sum#177, count#178, sum#179, count#180] + +(98) CometColumnarExchange +Input [16]: [i_item_id#29, ca_country#143, sum#167, count#168, sum#169, count#170, sum#171, count#172, sum#173, count#174, sum#175, count#176, sum#177, count#178, sum#179, count#180] +Arguments: hashpartitioning(i_item_id#29, ca_country#143, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(99) CometHashAggregate +Input [16]: [i_item_id#29, ca_country#143, sum#167, count#168, sum#169, count#170, sum#171, count#172, sum#173, count#174, sum#175, count#176, sum#177, count#178, sum#179, count#180] +Keys [2]: [i_item_id#29, ca_country#143] +Functions [7]: [avg(agg1#146), avg(agg2#147), avg(agg3#148), avg(agg4#149), avg(agg5#150), avg(agg6#151), avg(agg7#152)] + +(100) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#181, cs_bill_cdemo_sk#182, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#234), dynamicpruningexpression(cs_sold_date_sk#234 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#189), dynamicpruningexpression(cs_sold_date_sk#189 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(104) ColumnarToRow [codegen id : 31] -Input [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234] +(101) ColumnarToRow [codegen id : 28] +Input [9]: [cs_bill_customer_sk#181, cs_bill_cdemo_sk#182, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189] -(105) Filter [codegen id : 31] -Input [9]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234] -Condition : ((isnotnull(cs_bill_cdemo_sk#227) AND isnotnull(cs_bill_customer_sk#226)) AND isnotnull(cs_item_sk#228)) +(102) Filter [codegen id : 28] +Input [9]: [cs_bill_customer_sk#181, cs_bill_cdemo_sk#182, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189] +Condition : ((isnotnull(cs_bill_cdemo_sk#182) AND isnotnull(cs_bill_customer_sk#181)) AND isnotnull(cs_item_sk#183)) -(106) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#235, cd_dep_count#236] +(103) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#190, cd_dep_count#191] -(107) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_cdemo_sk#227] -Right keys [1]: [cd_demo_sk#235] +(104) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_cdemo_sk#182] +Right keys [1]: [cd_demo_sk#190] Join type: Inner Join condition: None -(108) Project [codegen id : 31] -Output [9]: [cs_bill_customer_sk#226, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236] -Input [11]: [cs_bill_customer_sk#226, cs_bill_cdemo_sk#227, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_demo_sk#235, cd_dep_count#236] +(105) Project [codegen id : 28] +Output [9]: [cs_bill_customer_sk#181, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191] +Input [11]: [cs_bill_customer_sk#181, cs_bill_cdemo_sk#182, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_demo_sk#190, cd_dep_count#191] -(109) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#237, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240] +(106) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#192, c_current_cdemo_sk#193, c_current_addr_sk#194, c_birth_year#195] -(110) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_customer_sk#226] -Right keys [1]: [c_customer_sk#237] +(107) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_customer_sk#181] +Right keys [1]: [c_customer_sk#192] Join type: Inner Join condition: None -(111) Project [codegen id : 31] -Output [11]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240] -Input [13]: [cs_bill_customer_sk#226, cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_customer_sk#237, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240] +(108) Project [codegen id : 28] +Output [11]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_current_cdemo_sk#193, c_current_addr_sk#194, c_birth_year#195] +Input [13]: [cs_bill_customer_sk#181, cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_customer_sk#192, c_current_cdemo_sk#193, c_current_addr_sk#194, c_birth_year#195] -(112) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#241] +(109) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#196] -(113) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_cdemo_sk#238] -Right keys [1]: [cd_demo_sk#241] +(110) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_cdemo_sk#193] +Right keys [1]: [cd_demo_sk#196] Join type: Inner Join condition: None -(114) Project [codegen id : 31] -Output [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_addr_sk#239, c_birth_year#240] -Input [12]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_cdemo_sk#238, c_current_addr_sk#239, c_birth_year#240, cd_demo_sk#241] +(111) Project [codegen id : 28] +Output [10]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_current_addr_sk#194, c_birth_year#195] +Input [12]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_current_cdemo_sk#193, c_current_addr_sk#194, c_birth_year#195, cd_demo_sk#196] -(115) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#242, ca_state#243] +(112) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#197, ca_state#198] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(116) CometFilter -Input [2]: [ca_address_sk#242, ca_state#243] -Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#243, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#242)) +(113) CometFilter +Input [2]: [ca_address_sk#197, ca_state#198] +Condition : (staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, ca_state#198, 2, true, false, true) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#197)) -(117) CometProject -Input [2]: [ca_address_sk#242, ca_state#243] -Arguments: [ca_address_sk#242], [ca_address_sk#242] +(114) CometProject +Input [2]: [ca_address_sk#197, ca_state#198] +Arguments: [ca_address_sk#197], [ca_address_sk#197] -(118) CometColumnarToRow [codegen id : 28] -Input [1]: [ca_address_sk#242] +(115) CometColumnarToRow [codegen id : 25] +Input [1]: [ca_address_sk#197] -(119) BroadcastExchange -Input [1]: [ca_address_sk#242] +(116) BroadcastExchange +Input [1]: [ca_address_sk#197] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -(120) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_addr_sk#239] -Right keys [1]: [ca_address_sk#242] +(117) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_addr_sk#194] +Right keys [1]: [ca_address_sk#197] Join type: Inner Join condition: None -(121) Project [codegen id : 31] -Output [9]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_birth_year#240] -Input [11]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_current_addr_sk#239, c_birth_year#240, ca_address_sk#242] +(118) Project [codegen id : 28] +Output [9]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_birth_year#195] +Input [11]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_current_addr_sk#194, c_birth_year#195, ca_address_sk#197] -(122) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#244] +(119) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#199] -(123) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_sold_date_sk#234] -Right keys [1]: [d_date_sk#244] +(120) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_sold_date_sk#189] +Right keys [1]: [d_date_sk#199] Join type: Inner Join condition: None -(124) Project [codegen id : 31] -Output [8]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cd_dep_count#236, c_birth_year#240] -Input [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cs_sold_date_sk#234, cd_dep_count#236, c_birth_year#240, d_date_sk#244] +(121) Project [codegen id : 28] +Output [8]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cd_dep_count#191, c_birth_year#195] +Input [10]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cs_sold_date_sk#189, cd_dep_count#191, c_birth_year#195, d_date_sk#199] -(125) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#245, i_item_id#29] +(122) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#200, i_item_id#29] -(126) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_item_sk#228] -Right keys [1]: [i_item_sk#245] +(123) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_item_sk#183] +Right keys [1]: [i_item_sk#200] Join type: Inner Join condition: None -(127) Project [codegen id : 31] -Output [8]: [i_item_id#29, cast(cs_quantity#229 as decimal(12,2)) AS agg1#246, cast(cs_list_price#230 as decimal(12,2)) AS agg2#247, cast(cs_coupon_amt#232 as decimal(12,2)) AS agg3#248, cast(cs_sales_price#231 as decimal(12,2)) AS agg4#249, cast(cs_net_profit#233 as decimal(12,2)) AS agg5#250, cast(c_birth_year#240 as decimal(12,2)) AS agg6#251, cast(cd_dep_count#236 as decimal(12,2)) AS agg7#252] -Input [10]: [cs_item_sk#228, cs_quantity#229, cs_list_price#230, cs_sales_price#231, cs_coupon_amt#232, cs_net_profit#233, cd_dep_count#236, c_birth_year#240, i_item_sk#245, i_item_id#29] +(124) Project [codegen id : 28] +Output [8]: [i_item_id#29, cast(cs_quantity#184 as decimal(12,2)) AS agg1#201, cast(cs_list_price#185 as decimal(12,2)) AS agg2#202, cast(cs_coupon_amt#187 as decimal(12,2)) AS agg3#203, cast(cs_sales_price#186 as decimal(12,2)) AS agg4#204, cast(cs_net_profit#188 as decimal(12,2)) AS agg5#205, cast(c_birth_year#195 as decimal(12,2)) AS agg6#206, cast(cd_dep_count#191 as decimal(12,2)) AS agg7#207] +Input [10]: [cs_item_sk#183, cs_quantity#184, cs_list_price#185, cs_sales_price#186, cs_coupon_amt#187, cs_net_profit#188, cd_dep_count#191, c_birth_year#195, i_item_sk#200, i_item_id#29] -(128) HashAggregate [codegen id : 31] -Input [8]: [i_item_id#29, agg1#246, agg2#247, agg3#248, agg4#249, agg5#250, agg6#251, agg7#252] +(125) HashAggregate [codegen id : 28] +Input [8]: [i_item_id#29, agg1#201, agg2#202, agg3#203, agg4#204, agg5#205, agg6#206, agg7#207] Keys [1]: [i_item_id#29] -Functions [7]: [partial_avg(agg1#246), partial_avg(agg2#247), partial_avg(agg3#248), partial_avg(agg4#249), partial_avg(agg5#250), partial_avg(agg6#251), partial_avg(agg7#252)] -Aggregate Attributes [14]: [sum#253, count#254, sum#255, count#256, sum#257, count#258, sum#259, count#260, sum#261, count#262, sum#263, count#264, sum#265, count#266] -Results [15]: [i_item_id#29, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280] +Functions [7]: [partial_avg(agg1#201), partial_avg(agg2#202), partial_avg(agg3#203), partial_avg(agg4#204), partial_avg(agg5#205), partial_avg(agg6#206), partial_avg(agg7#207)] +Aggregate Attributes [14]: [sum#208, count#209, sum#210, count#211, sum#212, count#213, sum#214, count#215, sum#216, count#217, sum#218, count#219, sum#220, count#221] +Results [15]: [i_item_id#29, sum#222, count#223, sum#224, count#225, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235] -(129) CometColumnarExchange -Input [15]: [i_item_id#29, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280] +(126) CometColumnarExchange +Input [15]: [i_item_id#29, sum#222, count#223, sum#224, count#225, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235] Arguments: hashpartitioning(i_item_id#29, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] -(130) CometColumnarToRow [codegen id : 32] -Input [15]: [i_item_id#29, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280] - -(131) HashAggregate [codegen id : 32] -Input [15]: [i_item_id#29, sum#267, count#268, sum#269, count#270, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280] +(127) CometHashAggregate +Input [15]: [i_item_id#29, sum#222, count#223, sum#224, count#225, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235] Keys [1]: [i_item_id#29] -Functions [7]: [avg(agg1#246), avg(agg2#247), avg(agg3#248), avg(agg4#249), avg(agg5#250), avg(agg6#251), avg(agg7#252)] -Aggregate Attributes [7]: [avg(agg1#246)#281, avg(agg2#247)#282, avg(agg3#248)#283, avg(agg4#249)#284, avg(agg5#250)#285, avg(agg6#251)#286, avg(agg7#252)#287] -Results [11]: [i_item_id#29, null AS ca_country#288, null AS ca_state#289, null AS county#290, avg(agg1#246)#281 AS agg1#291, avg(agg2#247)#282 AS agg2#292, avg(agg3#248)#283 AS agg3#293, avg(agg4#249)#284 AS agg4#294, avg(agg5#250)#285 AS agg5#295, avg(agg6#251)#286 AS agg6#296, avg(agg7#252)#287 AS agg7#297] +Functions [7]: [avg(agg1#201), avg(agg2#202), avg(agg3#203), avg(agg4#204), avg(agg5#205), avg(agg6#206), avg(agg7#207)] -(132) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306] +(128) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#236, cs_bill_cdemo_sk#237, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#306), dynamicpruningexpression(cs_sold_date_sk#306 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#244), dynamicpruningexpression(cs_sold_date_sk#244 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(133) ColumnarToRow [codegen id : 39] -Input [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306] +(129) ColumnarToRow [codegen id : 35] +Input [9]: [cs_bill_customer_sk#236, cs_bill_cdemo_sk#237, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244] -(134) Filter [codegen id : 39] -Input [9]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306] -Condition : ((isnotnull(cs_bill_cdemo_sk#299) AND isnotnull(cs_bill_customer_sk#298)) AND isnotnull(cs_item_sk#300)) +(130) Filter [codegen id : 35] +Input [9]: [cs_bill_customer_sk#236, cs_bill_cdemo_sk#237, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244] +Condition : ((isnotnull(cs_bill_cdemo_sk#237) AND isnotnull(cs_bill_customer_sk#236)) AND isnotnull(cs_item_sk#238)) -(135) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#307, cd_dep_count#308] +(131) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#245, cd_dep_count#246] -(136) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_cdemo_sk#299] -Right keys [1]: [cd_demo_sk#307] +(132) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_cdemo_sk#237] +Right keys [1]: [cd_demo_sk#245] Join type: Inner Join condition: None -(137) Project [codegen id : 39] -Output [9]: [cs_bill_customer_sk#298, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308] -Input [11]: [cs_bill_customer_sk#298, cs_bill_cdemo_sk#299, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_demo_sk#307, cd_dep_count#308] +(133) Project [codegen id : 35] +Output [9]: [cs_bill_customer_sk#236, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246] +Input [11]: [cs_bill_customer_sk#236, cs_bill_cdemo_sk#237, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_demo_sk#245, cd_dep_count#246] -(138) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#309, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312] +(134) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#247, c_current_cdemo_sk#248, c_current_addr_sk#249, c_birth_year#250] -(139) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_customer_sk#298] -Right keys [1]: [c_customer_sk#309] +(135) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_customer_sk#236] +Right keys [1]: [c_customer_sk#247] Join type: Inner Join condition: None -(140) Project [codegen id : 39] -Output [11]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312] -Input [13]: [cs_bill_customer_sk#298, cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_customer_sk#309, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312] +(136) Project [codegen id : 35] +Output [11]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_current_cdemo_sk#248, c_current_addr_sk#249, c_birth_year#250] +Input [13]: [cs_bill_customer_sk#236, cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_customer_sk#247, c_current_cdemo_sk#248, c_current_addr_sk#249, c_birth_year#250] -(141) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#313] +(137) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#251] -(142) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_cdemo_sk#310] -Right keys [1]: [cd_demo_sk#313] +(138) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_cdemo_sk#248] +Right keys [1]: [cd_demo_sk#251] Join type: Inner Join condition: None -(143) Project [codegen id : 39] -Output [10]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_addr_sk#311, c_birth_year#312] -Input [12]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_cdemo_sk#310, c_current_addr_sk#311, c_birth_year#312, cd_demo_sk#313] +(139) Project [codegen id : 35] +Output [10]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_current_addr_sk#249, c_birth_year#250] +Input [12]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_current_cdemo_sk#248, c_current_addr_sk#249, c_birth_year#250, cd_demo_sk#251] -(144) ReusedExchange [Reuses operator id: 119] -Output [1]: [ca_address_sk#314] +(140) ReusedExchange [Reuses operator id: 116] +Output [1]: [ca_address_sk#252] -(145) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_addr_sk#311] -Right keys [1]: [ca_address_sk#314] +(141) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_addr_sk#249] +Right keys [1]: [ca_address_sk#252] Join type: Inner Join condition: None -(146) Project [codegen id : 39] -Output [9]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_birth_year#312] -Input [11]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_current_addr_sk#311, c_birth_year#312, ca_address_sk#314] +(142) Project [codegen id : 35] +Output [9]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_birth_year#250] +Input [11]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_current_addr_sk#249, c_birth_year#250, ca_address_sk#252] -(147) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#315] +(143) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#253] -(148) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_sold_date_sk#306] -Right keys [1]: [d_date_sk#315] +(144) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_sold_date_sk#244] +Right keys [1]: [d_date_sk#253] Join type: Inner Join condition: None -(149) Project [codegen id : 39] -Output [8]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cd_dep_count#308, c_birth_year#312] -Input [10]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cs_sold_date_sk#306, cd_dep_count#308, c_birth_year#312, d_date_sk#315] +(145) Project [codegen id : 35] +Output [8]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cd_dep_count#246, c_birth_year#250] +Input [10]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cs_sold_date_sk#244, cd_dep_count#246, c_birth_year#250, d_date_sk#253] -(150) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#316] +(146) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#254] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(151) CometFilter -Input [1]: [i_item_sk#316] -Condition : isnotnull(i_item_sk#316) +(147) CometFilter +Input [1]: [i_item_sk#254] +Condition : isnotnull(i_item_sk#254) -(152) CometColumnarToRow [codegen id : 38] -Input [1]: [i_item_sk#316] +(148) CometColumnarToRow [codegen id : 34] +Input [1]: [i_item_sk#254] -(153) BroadcastExchange -Input [1]: [i_item_sk#316] +(149) BroadcastExchange +Input [1]: [i_item_sk#254] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -(154) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_item_sk#300] -Right keys [1]: [i_item_sk#316] +(150) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_item_sk#238] +Right keys [1]: [i_item_sk#254] Join type: Inner Join condition: None -(155) Project [codegen id : 39] -Output [7]: [cast(cs_quantity#301 as decimal(12,2)) AS agg1#317, cast(cs_list_price#302 as decimal(12,2)) AS agg2#318, cast(cs_coupon_amt#304 as decimal(12,2)) AS agg3#319, cast(cs_sales_price#303 as decimal(12,2)) AS agg4#320, cast(cs_net_profit#305 as decimal(12,2)) AS agg5#321, cast(c_birth_year#312 as decimal(12,2)) AS agg6#322, cast(cd_dep_count#308 as decimal(12,2)) AS agg7#323] -Input [9]: [cs_item_sk#300, cs_quantity#301, cs_list_price#302, cs_sales_price#303, cs_coupon_amt#304, cs_net_profit#305, cd_dep_count#308, c_birth_year#312, i_item_sk#316] +(151) Project [codegen id : 35] +Output [7]: [cast(cs_quantity#239 as decimal(12,2)) AS agg1#255, cast(cs_list_price#240 as decimal(12,2)) AS agg2#256, cast(cs_coupon_amt#242 as decimal(12,2)) AS agg3#257, cast(cs_sales_price#241 as decimal(12,2)) AS agg4#258, cast(cs_net_profit#243 as decimal(12,2)) AS agg5#259, cast(c_birth_year#250 as decimal(12,2)) AS agg6#260, cast(cd_dep_count#246 as decimal(12,2)) AS agg7#261] +Input [9]: [cs_item_sk#238, cs_quantity#239, cs_list_price#240, cs_sales_price#241, cs_coupon_amt#242, cs_net_profit#243, cd_dep_count#246, c_birth_year#250, i_item_sk#254] -(156) HashAggregate [codegen id : 39] -Input [7]: [agg1#317, agg2#318, agg3#319, agg4#320, agg5#321, agg6#322, agg7#323] +(152) HashAggregate [codegen id : 35] +Input [7]: [agg1#255, agg2#256, agg3#257, agg4#258, agg5#259, agg6#260, agg7#261] Keys: [] -Functions [7]: [partial_avg(agg1#317), partial_avg(agg2#318), partial_avg(agg3#319), partial_avg(agg4#320), partial_avg(agg5#321), partial_avg(agg6#322), partial_avg(agg7#323)] -Aggregate Attributes [14]: [sum#324, count#325, sum#326, count#327, sum#328, count#329, sum#330, count#331, sum#332, count#333, sum#334, count#335, sum#336, count#337] -Results [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351] +Functions [7]: [partial_avg(agg1#255), partial_avg(agg2#256), partial_avg(agg3#257), partial_avg(agg4#258), partial_avg(agg5#259), partial_avg(agg6#260), partial_avg(agg7#261)] +Aggregate Attributes [14]: [sum#262, count#263, sum#264, count#265, sum#266, count#267, sum#268, count#269, sum#270, count#271, sum#272, count#273, sum#274, count#275] +Results [14]: [sum#276, count#277, sum#278, count#279, sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289] -(157) CometColumnarExchange -Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351] +(153) CometColumnarExchange +Input [14]: [sum#276, count#277, sum#278, count#279, sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] -(158) CometColumnarToRow [codegen id : 40] -Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351] - -(159) HashAggregate [codegen id : 40] -Input [14]: [sum#338, count#339, sum#340, count#341, sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351] +(154) CometHashAggregate +Input [14]: [sum#276, count#277, sum#278, count#279, sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289] Keys: [] -Functions [7]: [avg(agg1#317), avg(agg2#318), avg(agg3#319), avg(agg4#320), avg(agg5#321), avg(agg6#322), avg(agg7#323)] -Aggregate Attributes [7]: [avg(agg1#317)#352, avg(agg2#318)#353, avg(agg3#319)#354, avg(agg4#320)#355, avg(agg5#321)#356, avg(agg6#322)#357, avg(agg7#323)#358] -Results [11]: [null AS i_item_id#359, null AS ca_country#360, null AS ca_state#361, null AS county#362, avg(agg1#317)#352 AS agg1#363, avg(agg2#318)#353 AS agg2#364, avg(agg3#319)#354 AS agg3#365, avg(agg4#320)#355 AS agg4#366, avg(agg5#321)#356 AS agg5#367, avg(agg6#322)#357 AS agg6#368, avg(agg7#323)#358 AS agg7#369] +Functions [7]: [avg(agg1#255), avg(agg2#256), avg(agg3#257), avg(agg4#258), avg(agg5#259), avg(agg6#260), avg(agg7#261)] + +(155) CometUnion +Child 0 Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#290, agg2#291, agg3#292, agg4#293, agg5#294, agg6#295, agg7#296] +Child 1 Input [11]: [i_item_id#29, ca_country#87, ca_state#25, county#297, agg1#298, agg2#299, agg3#300, agg4#301, agg5#302, agg6#303, agg7#304] +Child 2 Input [11]: [i_item_id#29, ca_country#143, ca_state#305, county#306, agg1#307, agg2#308, agg3#309, agg4#310, agg5#311, agg6#312, agg7#313] +Child 3 Input [11]: [i_item_id#29, ca_country#314, ca_state#315, county#316, agg1#317, agg2#318, agg3#319, agg4#320, agg5#321, agg6#322, agg7#323] +Child 4 Input [11]: [i_item_id#324, ca_country#325, ca_state#326, county#327, agg1#328, agg2#329, agg3#330, agg4#331, agg5#332, agg6#333, agg7#334] -(160) Union +(156) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#290, agg2#291, agg3#292, agg4#293, agg5#294, agg6#295, agg7#296] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#290,agg2#291,agg3#292,agg4#293,agg5#294,agg6#295,agg7#296]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#290, agg2#291, agg3#292, agg4#293, agg5#294, agg6#295, agg7#296], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#290, agg2#291, agg3#292, agg4#293, agg5#294, agg6#295, agg7#296] -(161) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] +(157) CometColumnarToRow [codegen id : 36] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#290, agg2#291, agg3#292, agg4#293, agg5#294, agg6#295, agg7#296] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (166) -+- * CometColumnarToRow (165) - +- CometProject (164) - +- CometFilter (163) - +- CometNativeScan parquet spark_catalog.default.date_dim (162) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(162) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#370] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#335] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(163) CometFilter -Input [2]: [d_date_sk#26, d_year#370] -Condition : ((isnotnull(d_year#370) AND (d_year#370 = 2001)) AND isnotnull(d_date_sk#26)) +(159) CometFilter +Input [2]: [d_date_sk#26, d_year#335] +Condition : ((isnotnull(d_year#335) AND (d_year#335 = 2001)) AND isnotnull(d_date_sk#26)) -(164) CometProject -Input [2]: [d_date_sk#26, d_year#370] +(160) CometProject +Input [2]: [d_date_sk#26, d_year#335] Arguments: [d_date_sk#26], [d_date_sk#26] -(165) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#26] -(166) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#26] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:2 Hosting operator id = 45 Hosting Expression = cs_sold_date_sk#91 IN dynamicpruning#10 +Subquery:2 Hosting operator id = 44 Hosting Expression = cs_sold_date_sk#77 IN dynamicpruning#10 -Subquery:3 Hosting operator id = 74 Hosting Expression = cs_sold_date_sk#162 IN dynamicpruning#10 +Subquery:3 Hosting operator id = 72 Hosting Expression = cs_sold_date_sk#133 IN dynamicpruning#10 -Subquery:4 Hosting operator id = 103 Hosting Expression = cs_sold_date_sk#234 IN dynamicpruning#10 +Subquery:4 Hosting operator id = 100 Hosting Expression = cs_sold_date_sk#189 IN dynamicpruning#10 -Subquery:5 Hosting operator id = 132 Hosting Expression = cs_sold_date_sk#306 IN dynamicpruning#10 +Subquery:5 Hosting operator id = 128 Hosting Expression = cs_sold_date_sk#244 IN dynamicpruning#10 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/extended.txt index eb411c16e8..c01d85590f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/extended.txt @@ -1,208 +1,204 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -250,4 +246,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 92 out of 210 eligible operators (43%). Final plan contains 41 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 99 out of 210 eligible operators (47%). Final plan contains 37 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/simplified.txt index 71745258b5..1150975e5e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q18a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - Union - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (36) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometUnion [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -72,12 +72,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (16) - HashAggregate [i_item_id,ca_country,ca_state,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state] #8 - WholeStageCodegen (15) + WholeStageCodegen (14) HashAggregate [i_item_id,ca_country,ca_state,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,ca_state,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -104,7 +101,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #9 - WholeStageCodegen (12) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometProject [ca_state] [ca_address_sk,ca_state,ca_country] @@ -114,12 +111,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (24) - HashAggregate [i_item_id,ca_country,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country] #10 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [i_item_id,ca_country,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -146,7 +140,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #11 - WholeStageCodegen (20) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometProject [ca_address_sk,ca_country] @@ -156,12 +150,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (32) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id] #12 - WholeStageCodegen (31) + WholeStageCodegen (28) HashAggregate [i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -188,7 +179,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #13 - WholeStageCodegen (28) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometProject [ca_address_sk] @@ -198,12 +189,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (40) - HashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange #14 - WholeStageCodegen (39) + WholeStageCodegen (35) HashAggregate [agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -234,7 +222,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #15 - WholeStageCodegen (38) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/explain.txt index 5a32d4019b..6b140a11aa 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/simplified.txt index 7bc0779e53..6eb6de858e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/explain.txt index aa06ae2c5f..1854f464f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Expand (19) @@ -121,19 +121,17 @@ Results [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_gr Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Arguments: hashpartitioning(i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Keys [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#24] -Results [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, avg(inv_quantity_on_hand#2)#24 AS qoh#25] -(24) TakeOrderedAndProject -Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] -Arguments: 100, [qoh#25 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] +(23) CometTakeOrderedAndProject +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#24 ASC NULLS FIRST,i_product_name#15 ASC NULLS FIRST,i_brand#16 ASC NULLS FIRST,i_class#17 ASC NULLS FIRST,i_category#18 ASC NULLS FIRST], output=[i_product_name#15,i_brand#16,i_class#17,i_category#18,qoh#24]), [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24], 100, 0, [qoh#24 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] + +(24) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] ===== Subqueries ===== @@ -146,18 +144,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#26] +Output [2]: [d_date_sk#5, d_month_seq#25] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#26] -Condition : (((isnotnull(d_month_seq#26) AND (d_month_seq#26 >= 1200)) AND (d_month_seq#26 <= 1211)) AND isnotnull(d_date_sk#5)) +Input [2]: [d_date_sk#5, d_month_seq#25] +Condition : (((isnotnull(d_month_seq#25) AND (d_month_seq#25 >= 1200)) AND (d_month_seq#25 <= 1211)) AND isnotnull(d_date_sk#5)) (27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#26] +Input [2]: [d_date_sk#5, d_month_seq#25] Arguments: [d_date_sk#5], [d_date_sk#5] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/extended.txt index fb0e21025e..0d92bad43c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 11 out of 28 eligible operators (39%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/simplified.txt index 457dff46e2..4f1a24ab41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/explain.txt index f85c898208..d59ba25ed6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/explain.txt index f85c898208..d59ba25ed6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/explain.txt index 0998977eb2..b5e86013c5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/explain.txt @@ -1,59 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (55) -+- Union (54) - :- * HashAggregate (25) - : +- * HashAggregate (24) - : +- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.warehouse (14) - :- * HashAggregate (32) - : +- * CometColumnarToRow (31) - : +- CometColumnarExchange (30) - : +- * HashAggregate (29) - : +- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- ReusedExchange (26) - :- * HashAggregate (39) - : +- * CometColumnarToRow (38) - : +- CometColumnarExchange (37) - : +- * HashAggregate (36) - : +- * HashAggregate (35) - : +- * CometColumnarToRow (34) - : +- ReusedExchange (33) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- ReusedExchange (40) - +- * HashAggregate (53) - +- * CometColumnarToRow (52) - +- CometColumnarExchange (51) - +- * HashAggregate (50) - +- * HashAggregate (49) - +- * CometColumnarToRow (48) - +- ReusedExchange (47) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometUnion (45) + :- CometHashAggregate (24) + : +- CometHashAggregate (23) + : +- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.warehouse (14) + :- CometHashAggregate (29) + : +- CometExchange (28) + : +- CometHashAggregate (27) + : +- CometHashAggregate (26) + : +- ReusedExchange (25) + :- CometHashAggregate (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- CometHashAggregate (31) + : +- ReusedExchange (30) + :- CometHashAggregate (39) + : +- CometExchange (38) + : +- CometHashAggregate (37) + : +- CometHashAggregate (36) + : +- ReusedExchange (35) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.inventory @@ -71,7 +63,7 @@ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4] Condition : (isnotnull(inv_item_sk#1) AND isnotnull(inv_warehouse_sk#2)) -(4) ReusedExchange [Reuses operator id: 60] +(4) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -155,201 +147,152 @@ Results [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, i_category#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#21] -Results [5]: [i_product_name#15 AS i_product_name#22, i_brand#12 AS i_brand#23, i_class#13 AS i_class#24, i_category#14 AS i_category#25, avg(inv_quantity_on_hand#3)#21 AS qoh#26] - -(24) HashAggregate [codegen id : 5] -Input [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#26] -Keys [4]: [i_product_name#22, i_brand#23, i_class#24, i_category#25] -Functions [1]: [partial_avg(qoh#26)] -Aggregate Attributes [2]: [sum#27, count#28] -Results [6]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, sum#29, count#30] - -(25) HashAggregate [codegen id : 5] -Input [6]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, sum#29, count#30] -Keys [4]: [i_product_name#22, i_brand#23, i_class#24, i_category#25] -Functions [1]: [avg(qoh#26)] -Aggregate Attributes [1]: [avg(qoh#26)#31] -Results [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, avg(qoh#26)#31 AS qoh#32] - -(26) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] - -(27) CometColumnarToRow [codegen id : 10] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] - -(28) HashAggregate [codegen id : 10] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#33, count#34] -Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#35)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#35)#21] -Results [4]: [i_product_name#15, i_brand#12, i_class#13, avg(inv_quantity_on_hand#35)#21 AS qoh#36] -(29) HashAggregate [codegen id : 10] -Input [4]: [i_product_name#15, i_brand#12, i_class#13, qoh#36] -Keys [3]: [i_product_name#15, i_brand#12, i_class#13] -Functions [1]: [partial_avg(qoh#36)] -Aggregate Attributes [2]: [sum#37, count#38] -Results [5]: [i_product_name#15, i_brand#12, i_class#13, sum#39, count#40] +(23) CometHashAggregate +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#25] +Keys [4]: [i_product_name#21, i_brand#22, i_class#23, i_category#24] +Functions [1]: [partial_avg(qoh#25)] -(30) CometColumnarExchange -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#39, count#40] -Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(24) CometHashAggregate +Input [6]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, sum#26, count#27] +Keys [4]: [i_product_name#21, i_brand#22, i_class#23, i_category#24] +Functions [1]: [avg(qoh#25)] -(31) CometColumnarToRow [codegen id : 11] -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#39, count#40] +(25) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#28, count#29] -(32) HashAggregate [codegen id : 11] -Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#39, count#40] +(26) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#28, count#29] +Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] +Functions [1]: [avg(inv_quantity_on_hand#30)] + +(27) CometHashAggregate +Input [4]: [i_product_name#15, i_brand#12, i_class#13, qoh#31] Keys [3]: [i_product_name#15, i_brand#12, i_class#13] -Functions [1]: [avg(qoh#36)] -Aggregate Attributes [1]: [avg(qoh#36)#41] -Results [5]: [i_product_name#15, i_brand#12, i_class#13, null AS i_category#42, avg(qoh#36)#41 AS qoh#43] +Functions [1]: [partial_avg(qoh#31)] -(33) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#44, count#45] +(28) CometExchange +Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#32, count#33] +Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(29) CometHashAggregate +Input [5]: [i_product_name#15, i_brand#12, i_class#13, sum#32, count#33] +Keys [3]: [i_product_name#15, i_brand#12, i_class#13] +Functions [1]: [avg(qoh#31)] -(34) CometColumnarToRow [codegen id : 16] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#44, count#45] +(30) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#34, count#35] -(35) HashAggregate [codegen id : 16] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#44, count#45] +(31) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#34, count#35] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#46)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#46)#21] -Results [3]: [i_product_name#15, i_brand#12, avg(inv_quantity_on_hand#46)#21 AS qoh#47] +Functions [1]: [avg(inv_quantity_on_hand#36)] -(36) HashAggregate [codegen id : 16] -Input [3]: [i_product_name#15, i_brand#12, qoh#47] +(32) CometHashAggregate +Input [3]: [i_product_name#15, i_brand#12, qoh#37] Keys [2]: [i_product_name#15, i_brand#12] -Functions [1]: [partial_avg(qoh#47)] -Aggregate Attributes [2]: [sum#48, count#49] -Results [4]: [i_product_name#15, i_brand#12, sum#50, count#51] +Functions [1]: [partial_avg(qoh#37)] -(37) CometColumnarExchange -Input [4]: [i_product_name#15, i_brand#12, sum#50, count#51] -Arguments: hashpartitioning(i_product_name#15, i_brand#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [4]: [i_product_name#15, i_brand#12, sum#38, count#39] +Arguments: hashpartitioning(i_product_name#15, i_brand#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(38) CometColumnarToRow [codegen id : 17] -Input [4]: [i_product_name#15, i_brand#12, sum#50, count#51] - -(39) HashAggregate [codegen id : 17] -Input [4]: [i_product_name#15, i_brand#12, sum#50, count#51] +(34) CometHashAggregate +Input [4]: [i_product_name#15, i_brand#12, sum#38, count#39] Keys [2]: [i_product_name#15, i_brand#12] -Functions [1]: [avg(qoh#47)] -Aggregate Attributes [1]: [avg(qoh#47)#52] -Results [5]: [i_product_name#15, i_brand#12, null AS i_class#53, null AS i_category#54, avg(qoh#47)#52 AS qoh#55] - -(40) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#56, count#57] +Functions [1]: [avg(qoh#37)] -(41) CometColumnarToRow [codegen id : 22] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#56, count#57] +(35) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#40, count#41] -(42) HashAggregate [codegen id : 22] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#56, count#57] +(36) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#40, count#41] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#58)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#58)#21] -Results [2]: [i_product_name#15, avg(inv_quantity_on_hand#58)#21 AS qoh#59] +Functions [1]: [avg(inv_quantity_on_hand#42)] -(43) HashAggregate [codegen id : 22] -Input [2]: [i_product_name#15, qoh#59] +(37) CometHashAggregate +Input [2]: [i_product_name#15, qoh#43] Keys [1]: [i_product_name#15] -Functions [1]: [partial_avg(qoh#59)] -Aggregate Attributes [2]: [sum#60, count#61] -Results [3]: [i_product_name#15, sum#62, count#63] - -(44) CometColumnarExchange -Input [3]: [i_product_name#15, sum#62, count#63] -Arguments: hashpartitioning(i_product_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_avg(qoh#43)] -(45) CometColumnarToRow [codegen id : 23] -Input [3]: [i_product_name#15, sum#62, count#63] +(38) CometExchange +Input [3]: [i_product_name#15, sum#44, count#45] +Arguments: hashpartitioning(i_product_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) HashAggregate [codegen id : 23] -Input [3]: [i_product_name#15, sum#62, count#63] +(39) CometHashAggregate +Input [3]: [i_product_name#15, sum#44, count#45] Keys [1]: [i_product_name#15] -Functions [1]: [avg(qoh#59)] -Aggregate Attributes [1]: [avg(qoh#59)#64] -Results [5]: [i_product_name#15, null AS i_brand#65, null AS i_class#66, null AS i_category#67, avg(qoh#59)#64 AS qoh#68] +Functions [1]: [avg(qoh#43)] -(47) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#69, count#70] - -(48) CometColumnarToRow [codegen id : 28] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#69, count#70] +(40) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#46, count#47] -(49) HashAggregate [codegen id : 28] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#69, count#70] +(41) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#46, count#47] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(inv_quantity_on_hand#71)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#71)#21] -Results [1]: [avg(inv_quantity_on_hand#71)#21 AS qoh#72] +Functions [1]: [avg(inv_quantity_on_hand#48)] -(50) HashAggregate [codegen id : 28] -Input [1]: [qoh#72] +(42) CometHashAggregate +Input [1]: [qoh#49] Keys: [] -Functions [1]: [partial_avg(qoh#72)] -Aggregate Attributes [2]: [sum#73, count#74] -Results [2]: [sum#75, count#76] +Functions [1]: [partial_avg(qoh#49)] -(51) CometColumnarExchange -Input [2]: [sum#75, count#76] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(43) CometExchange +Input [2]: [sum#50, count#51] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(52) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#75, count#76] - -(53) HashAggregate [codegen id : 29] -Input [2]: [sum#75, count#76] +(44) CometHashAggregate +Input [2]: [sum#50, count#51] Keys: [] -Functions [1]: [avg(qoh#72)] -Aggregate Attributes [1]: [avg(qoh#72)#77] -Results [5]: [null AS i_product_name#78, null AS i_brand#79, null AS i_class#80, null AS i_category#81, avg(qoh#72)#77 AS qoh#82] +Functions [1]: [avg(qoh#49)] + +(45) CometUnion +Child 0 Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#52] +Child 1 Input [5]: [i_product_name#15, i_brand#12, i_class#13, i_category#53, qoh#54] +Child 2 Input [5]: [i_product_name#15, i_brand#12, i_class#55, i_category#56, qoh#57] +Child 3 Input [5]: [i_product_name#15, i_brand#58, i_class#59, i_category#60, qoh#61] +Child 4 Input [5]: [i_product_name#62, i_brand#63, i_class#64, i_category#65, qoh#66] -(54) Union +(46) CometTakeOrderedAndProject +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#52] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#52 ASC NULLS FIRST,i_product_name#21 ASC NULLS FIRST,i_brand#22 ASC NULLS FIRST,i_class#23 ASC NULLS FIRST,i_category#24 ASC NULLS FIRST], output=[i_product_name#21,i_brand#22,i_class#23,i_category#24,qoh#52]), [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#52], 100, 0, [qoh#52 ASC NULLS FIRST, i_product_name#21 ASC NULLS FIRST, i_brand#22 ASC NULLS FIRST, i_class#23 ASC NULLS FIRST, i_category#24 ASC NULLS FIRST], [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#52] -(55) TakeOrderedAndProject -Input [5]: [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#32] -Arguments: 100, [qoh#32 ASC NULLS FIRST, i_product_name#22 ASC NULLS FIRST, i_brand#23 ASC NULLS FIRST, i_class#24 ASC NULLS FIRST, i_category#25 ASC NULLS FIRST], [i_product_name#22, i_brand#23, i_class#24, i_category#25, qoh#32] +(47) CometColumnarToRow [codegen id : 21] +Input [5]: [i_product_name#21, i_brand#22, i_class#23, i_category#24, qoh#52] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometNativeScan parquet spark_catalog.default.date_dim (48) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#83] +(48) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_month_seq#67] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#83] -Condition : (((isnotnull(d_month_seq#83) AND (d_month_seq#83 >= 1212)) AND (d_month_seq#83 <= 1223)) AND isnotnull(d_date_sk#6)) +(49) CometFilter +Input [2]: [d_date_sk#6, d_month_seq#67] +Condition : (((isnotnull(d_month_seq#67) AND (d_month_seq#67 >= 1212)) AND (d_month_seq#67 <= 1223)) AND isnotnull(d_date_sk#6)) -(58) CometProject -Input [2]: [d_date_sk#6, d_month_seq#83] +(50) CometProject +Input [2]: [d_date_sk#6, d_month_seq#67] Arguments: [d_date_sk#6], [d_date_sk#6] -(59) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(60) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/extended.txt index 543f666a74..0c7198ffb8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/extended.txt @@ -1,187 +1,179 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.warehouse +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 64 out of 151 eligible operators (42%). Final plan contains 34 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 81 out of 151 eligible operators (53%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/simplified.txt index a55feaac8c..3ea1ed74dc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q22a.native_datafusion/simplified.txt @@ -1,11 +1,11 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - Union - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(qoh),qoh,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (21) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometUnion [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,i_category,sum,count] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,i_product_name,i_brand,i_class,i_category,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,inv_quantity_on_hand] [sum,count,sum,count] @@ -44,47 +44,23 @@ TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] InputAdapter CometFilter [w_warehouse_sk] CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk] - WholeStageCodegen (11) - HashAggregate [i_product_name,i_brand,i_class,sum,count] [avg(qoh),i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand,i_class] #5 - WholeStageCodegen (10) - HashAggregate [i_product_name,i_brand,i_class,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (17) - HashAggregate [i_product_name,i_brand,sum,count] [avg(qoh),i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand] #6 - WholeStageCodegen (16) - HashAggregate [i_product_name,i_brand,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (23) - HashAggregate [i_product_name,sum,count] [avg(qoh),i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name] #7 - WholeStageCodegen (22) - HashAggregate [i_product_name,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (29) - HashAggregate [sum,count] [avg(qoh),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (28) - HashAggregate [qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand,i_class] #5 + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,sum,count] + CometHashAggregate [i_category,sum,count] [i_product_name,i_brand,i_class,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand] #6 + CometHashAggregate [qoh] [i_product_name,i_brand,sum,count] + CometHashAggregate [i_class,i_category,sum,count] [i_product_name,i_brand,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name] #7 + CometHashAggregate [qoh] [i_product_name,sum,count] + CometHashAggregate [i_brand,i_class,i_category,sum,count] [i_product_name,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange #8 + CometHashAggregate [qoh] [sum,count] + CometHashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/explain.txt index 696a4579e6..9ae1cdce0d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometNativeScan parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#73] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#73] -Keys: [] -Functions [1]: [partial_avg(netpaid#73)] -Aggregate Attributes [2]: [sum#74, count#75] -Results [2]: [sum#76, count#77] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#76, count#77] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#76, count#77] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#76, count#77] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#69] Keys: [] -Functions [1]: [avg(netpaid#73)] -Aggregate Attributes [1]: [avg(netpaid#73)#78] -Results [1]: [(0.05 * avg(netpaid#73)#78) AS (0.05 * avg(netpaid))#79] +Functions [1]: [partial_avg(netpaid#69)] + +(75) CometExchange +Input [2]: [sum#70, count#71] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#70, count#71] +Keys: [] +Functions [1]: [avg(netpaid#69)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#72] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/extended.txt index 53a4c64a61..f48ced830e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/simplified.txt index b24e51723a..01e4d94ea5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_datafusion/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/explain.txt index 17ef709df5..745e6a84c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#73] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#73] -Keys: [] -Functions [1]: [partial_avg(netpaid#73)] -Aggregate Attributes [2]: [sum#74, count#75] -Results [2]: [sum#76, count#77] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#76, count#77] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#76, count#77] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#76, count#77] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#69] Keys: [] -Functions [1]: [avg(netpaid#73)] -Aggregate Attributes [1]: [avg(netpaid#73)#78] -Results [1]: [(0.05 * avg(netpaid#73)#78) AS (0.05 * avg(netpaid))#79] +Functions [1]: [partial_avg(netpaid#69)] + +(75) CometExchange +Input [2]: [sum#70, count#71] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#70, count#71] +Keys: [] +Functions [1]: [avg(netpaid#69)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#72] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24.native_iceberg_compat/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/explain.txt index 17ef709df5..745e6a84c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#15, s_zip#16] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#15, s_zip#16] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Condition : isnotnull(i_item_sk#60) +(59) CometFilter +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Condition : isnotnull(i_item_sk#56) -(62) CometProject -Input [6]: [i_item_sk#60, i_current_price#61, i_size#62, i_color#63, i_units#64, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [i_item_sk#60, i_current_price#61, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#62, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#63, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#64, 10, true, false, true) AS i_units#25, i_manager_id#65] +(60) CometProject +Input [6]: [i_item_sk#56, i_current_price#57, i_size#58, i_color#59, i_units#60, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [i_item_sk#56, i_current_price#57, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_size#58, 20, true, false, true) AS i_size#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_color#59, 20, true, false, true) AS i_color#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, i_units#60, 10, true, false, true) AS i_units#25, i_manager_id#61] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16] -Right output [6]: [i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_item_sk#51], [i_item_sk#60], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16] +Right output [6]: [i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_item_sk#47], [i_item_sk#56], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_item_sk#60, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_item_sk#56, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65] -Right output [5]: [c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_customer_sk#52], [c_customer_sk#66], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61] +Right output [5]: [c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_customer_sk#48], [c_customer_sk#62], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_customer_sk#66, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68], [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_customer_sk#62, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64], [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#67, c_birth_country#68, s_zip#16] -Right keys [3]: [ca_address_sk#69, upper(ca_country#70), ca_zip#38] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#63, c_birth_country#64, s_zip#16] +Right keys [3]: [ca_address_sk#65, upper(ca_country#66), ca_zip#38] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#15, s_zip#16, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_current_addr_sk#67, c_first_name#31, c_last_name#32, c_birth_country#68, ca_address_sk#69, ca_state#37, ca_zip#38, ca_country#70] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#15, i_current_price#61, i_size#23, i_color#24, i_units#25, i_manager_id#65, c_first_name#31, c_last_name#32, ca_state#37] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#71] -Results [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(74) CometColumnarExchange -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23, sum#72] -Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#59, ca_state#37, s_state#15, i_color#24, i_current_price#61, i_manager_id#65, i_units#25, i_size#23] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#73] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#73] -Keys: [] -Functions [1]: [partial_avg(netpaid#73)] -Aggregate Attributes [2]: [sum#74, count#75] -Results [2]: [sum#76, count#77] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#15, s_zip#16, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_current_addr_sk#63, c_first_name#31, c_last_name#32, c_birth_country#64, ca_address_sk#65, ca_state#37, ca_zip#38, ca_country#66] -(78) CometColumnarExchange -Input [2]: [sum#76, count#77] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#15, i_current_price#57, i_size#23, i_color#24, i_units#25, i_manager_id#61, c_first_name#31, c_last_name#32, ca_state#37] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#67] +Results [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#76, count#77] +(72) CometColumnarExchange +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#76, count#77] +(73) CometHashAggregate +Input [11]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23, sum#68] +Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#55, ca_state#37, s_state#15, i_color#24, i_current_price#57, i_manager_id#61, i_units#25, i_size#23] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#69] Keys: [] -Functions [1]: [avg(netpaid#73)] -Aggregate Attributes [1]: [avg(netpaid#73)#78] -Results [1]: [(0.05 * avg(netpaid#73)#78) AS (0.05 * avg(netpaid))#79] +Functions [1]: [partial_avg(netpaid#69)] + +(75) CometExchange +Input [2]: [sum#70, count#71] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#70, count#71] +Keys: [] +Functions [1]: [avg(netpaid#69)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#72] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q24/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/explain.txt index c7e92e4c27..b578ae06ea 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/explain.txt @@ -1,82 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (78) -+- Union (77) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.item (21) - :- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (45) - : : +- * CometColumnarToRow (44) - : : +- CometProject (43) - : : +- CometFilter (42) - : : +- CometNativeScan parquet spark_catalog.default.store (41) - : +- ReusedExchange (48) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (66) - : +- * BroadcastHashJoin Inner BuildRight (65) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * Filter (57) - : : : : +- * ColumnarToRow (56) - : : : : +- Scan parquet spark_catalog.default.store_sales (55) - : : : +- ReusedExchange (58) - : : +- ReusedExchange (61) - : +- ReusedExchange (64) - +- BroadcastExchange (70) - +- * CometColumnarToRow (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.item (67) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometUnion (74) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.item (21) + :- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * Project (39) + : : : +- * BroadcastHashJoin Inner BuildRight (38) + : : : :- * Project (36) + : : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : : :- * Filter (33) + : : : : : +- * ColumnarToRow (32) + : : : : : +- Scan parquet spark_catalog.default.store_sales (31) + : : : : +- ReusedExchange (34) + : : : +- ReusedExchange (37) + : : +- BroadcastExchange (44) + : : +- * CometColumnarToRow (43) + : : +- CometProject (42) + : : +- CometFilter (41) + : : +- CometNativeScan parquet spark_catalog.default.store (40) + : +- ReusedExchange (47) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.store_sales (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (59) + : +- ReusedExchange (62) + +- BroadcastExchange (68) + +- * CometColumnarToRow (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.item (65) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +124,7 @@ Join condition: None Output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8] Input [9]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, cd_demo_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 81] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 5] @@ -214,266 +212,257 @@ Results [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Arguments: hashpartitioning(i_item_id#21, s_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Keys [2]: [i_item_id#21, s_state#22] Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))] -Aggregate Attributes [4]: [avg(agg1#23)#43, avg(UnscaledValue(agg2#24))#44, avg(UnscaledValue(agg3#25))#45, avg(UnscaledValue(agg4#26))#46] -Results [7]: [i_item_id#21, s_state#22, 0 AS g_state#47, avg(agg1#23)#43 AS agg1#48, cast((avg(UnscaledValue(agg2#24))#44 / 100.0) as decimal(11,6)) AS agg2#49, cast((avg(UnscaledValue(agg3#25))#45 / 100.0) as decimal(11,6)) AS agg3#50, cast((avg(UnscaledValue(agg4#26))#46 / 100.0) as decimal(11,6)) AS agg4#51] -(32) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(31) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#59), dynamicpruningexpression(ss_sold_date_sk#59 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#50), dynamicpruningexpression(ss_sold_date_sk#50 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(32) ColumnarToRow [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] -(34) Filter [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Condition : ((isnotnull(ss_cdemo_sk#53) AND isnotnull(ss_store_sk#54)) AND isnotnull(ss_item_sk#52)) +(33) Filter [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Condition : ((isnotnull(ss_cdemo_sk#44) AND isnotnull(ss_store_sk#45)) AND isnotnull(ss_item_sk#43)) -(35) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#60] +(34) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#51] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_cdemo_sk#53] -Right keys [1]: [cd_demo_sk#60] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_cdemo_sk#44] +Right keys [1]: [cd_demo_sk#51] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Input [9]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, cd_demo_sk#60] +(36) Project [codegen id : 10] +Output [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Input [9]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, cd_demo_sk#51] -(38) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#61] +(37) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#52] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_sold_date_sk#59] -Right keys [1]: [d_date_sk#61] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#50] +Right keys [1]: [d_date_sk#52] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [6]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [8]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, d_date_sk#61] +(39) Project [codegen id : 10] +Output [6]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [8]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, d_date_sk#52] -(41) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#62, s_state#63] +(40) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#53, s_state#54] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_store_sk)] ReadSchema: struct -(42) CometFilter -Input [2]: [s_store_sk#62, s_state#63] -Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#63, 2, true, false, true) = TN) AND isnotnull(s_store_sk#62)) +(41) CometFilter +Input [2]: [s_store_sk#53, s_state#54] +Condition : ((staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#54, 2, true, false, true) = TN) AND isnotnull(s_store_sk#53)) -(43) CometProject -Input [2]: [s_store_sk#62, s_state#63] -Arguments: [s_store_sk#62], [s_store_sk#62] +(42) CometProject +Input [2]: [s_store_sk#53, s_state#54] +Arguments: [s_store_sk#53], [s_store_sk#53] -(44) CometColumnarToRow [codegen id : 9] -Input [1]: [s_store_sk#62] +(43) CometColumnarToRow [codegen id : 8] +Input [1]: [s_store_sk#53] -(45) BroadcastExchange -Input [1]: [s_store_sk#62] +(44) BroadcastExchange +Input [1]: [s_store_sk#53] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_store_sk#54] -Right keys [1]: [s_store_sk#62] +(45) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_store_sk#45] +Right keys [1]: [s_store_sk#53] Join type: Inner Join condition: None -(47) Project [codegen id : 11] -Output [5]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, s_store_sk#62] +(46) Project [codegen id : 10] +Output [5]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, s_store_sk#53] -(48) ReusedExchange [Reuses operator id: 25] -Output [2]: [i_item_sk#64, i_item_id#20] +(47) ReusedExchange [Reuses operator id: 25] +Output [2]: [i_item_sk#55, i_item_id#20] -(49) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_item_sk#52] -Right keys [1]: [i_item_sk#64] +(48) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_item_sk#43] +Right keys [1]: [i_item_sk#55] Join type: Inner Join condition: None -(50) Project [codegen id : 11] -Output [5]: [i_item_id#20, ss_quantity#55 AS agg1#65, ss_list_price#56 AS agg2#66, ss_coupon_amt#58 AS agg3#67, ss_sales_price#57 AS agg4#68] -Input [7]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, i_item_sk#64, i_item_id#20] +(49) Project [codegen id : 10] +Output [5]: [i_item_id#20, ss_quantity#46 AS agg1#56, ss_list_price#47 AS agg2#57, ss_coupon_amt#49 AS agg3#58, ss_sales_price#48 AS agg4#59] +Input [7]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, i_item_sk#55, i_item_id#20] -(51) HashAggregate [codegen id : 11] -Input [5]: [i_item_id#20, agg1#65, agg2#66, agg3#67, agg4#68] +(50) HashAggregate [codegen id : 10] +Input [5]: [i_item_id#20, agg1#56, agg2#57, agg3#58, agg4#59] Keys [1]: [i_item_id#20] -Functions [4]: [partial_avg(agg1#65), partial_avg(UnscaledValue(agg2#66)), partial_avg(UnscaledValue(agg3#67)), partial_avg(UnscaledValue(agg4#68))] -Aggregate Attributes [8]: [sum#69, count#70, sum#71, count#72, sum#73, count#74, sum#75, count#76] -Results [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84] +Functions [4]: [partial_avg(agg1#56), partial_avg(UnscaledValue(agg2#57)), partial_avg(UnscaledValue(agg3#58)), partial_avg(UnscaledValue(agg4#59))] +Aggregate Attributes [8]: [sum#60, count#61, sum#62, count#63, sum#64, count#65, sum#66, count#67] +Results [9]: [i_item_id#20, sum#68, count#69, sum#70, count#71, sum#72, count#73, sum#74, count#75] -(52) CometColumnarExchange -Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84] +(51) CometColumnarExchange +Input [9]: [i_item_id#20, sum#68, count#69, sum#70, count#71, sum#72, count#73, sum#74, count#75] Arguments: hashpartitioning(i_item_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(53) CometColumnarToRow [codegen id : 12] -Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84] - -(54) HashAggregate [codegen id : 12] -Input [9]: [i_item_id#20, sum#77, count#78, sum#79, count#80, sum#81, count#82, sum#83, count#84] +(52) CometHashAggregate +Input [9]: [i_item_id#20, sum#68, count#69, sum#70, count#71, sum#72, count#73, sum#74, count#75] Keys [1]: [i_item_id#20] -Functions [4]: [avg(agg1#65), avg(UnscaledValue(agg2#66)), avg(UnscaledValue(agg3#67)), avg(UnscaledValue(agg4#68))] -Aggregate Attributes [4]: [avg(agg1#65)#85, avg(UnscaledValue(agg2#66))#86, avg(UnscaledValue(agg3#67))#87, avg(UnscaledValue(agg4#68))#88] -Results [7]: [i_item_id#20, null AS s_state#89, 1 AS g_state#90, avg(agg1#65)#85 AS agg1#91, cast((avg(UnscaledValue(agg2#66))#86 / 100.0) as decimal(11,6)) AS agg2#92, cast((avg(UnscaledValue(agg3#67))#87 / 100.0) as decimal(11,6)) AS agg3#93, cast((avg(UnscaledValue(agg4#68))#88 / 100.0) as decimal(11,6)) AS agg4#94] +Functions [4]: [avg(agg1#56), avg(UnscaledValue(agg2#57)), avg(UnscaledValue(agg3#58)), avg(UnscaledValue(agg4#59))] -(55) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102] +(53) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#76, ss_cdemo_sk#77, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#102), dynamicpruningexpression(ss_sold_date_sk#102 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#83), dynamicpruningexpression(ss_sold_date_sk#83 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(56) ColumnarToRow [codegen id : 17] -Input [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102] +(54) ColumnarToRow [codegen id : 15] +Input [8]: [ss_item_sk#76, ss_cdemo_sk#77, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83] -(57) Filter [codegen id : 17] -Input [8]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102] -Condition : ((isnotnull(ss_cdemo_sk#96) AND isnotnull(ss_store_sk#97)) AND isnotnull(ss_item_sk#95)) +(55) Filter [codegen id : 15] +Input [8]: [ss_item_sk#76, ss_cdemo_sk#77, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83] +Condition : ((isnotnull(ss_cdemo_sk#77) AND isnotnull(ss_store_sk#78)) AND isnotnull(ss_item_sk#76)) -(58) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#103] +(56) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#84] -(59) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_cdemo_sk#96] -Right keys [1]: [cd_demo_sk#103] +(57) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_cdemo_sk#77] +Right keys [1]: [cd_demo_sk#84] Join type: Inner Join condition: None -(60) Project [codegen id : 17] -Output [7]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102] -Input [9]: [ss_item_sk#95, ss_cdemo_sk#96, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102, cd_demo_sk#103] +(58) Project [codegen id : 15] +Output [7]: [ss_item_sk#76, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83] +Input [9]: [ss_item_sk#76, ss_cdemo_sk#77, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83, cd_demo_sk#84] -(61) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#104] +(59) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#85] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#102] -Right keys [1]: [d_date_sk#104] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#83] +Right keys [1]: [d_date_sk#85] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101] -Input [8]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, ss_sold_date_sk#102, d_date_sk#104] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#76, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82] +Input [8]: [ss_item_sk#76, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, ss_sold_date_sk#83, d_date_sk#85] -(64) ReusedExchange [Reuses operator id: 45] -Output [1]: [s_store_sk#105] +(62) ReusedExchange [Reuses operator id: 44] +Output [1]: [s_store_sk#86] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_store_sk#97] -Right keys [1]: [s_store_sk#105] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_store_sk#78] +Right keys [1]: [s_store_sk#86] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#95, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101] -Input [7]: [ss_item_sk#95, ss_store_sk#97, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, s_store_sk#105] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#76, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82] +Input [7]: [ss_item_sk#76, ss_store_sk#78, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, s_store_sk#86] -(67) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#106] +(65) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#87] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(68) CometFilter -Input [1]: [i_item_sk#106] -Condition : isnotnull(i_item_sk#106) +(66) CometFilter +Input [1]: [i_item_sk#87] +Condition : isnotnull(i_item_sk#87) -(69) CometColumnarToRow [codegen id : 16] -Input [1]: [i_item_sk#106] +(67) CometColumnarToRow [codegen id : 14] +Input [1]: [i_item_sk#87] -(70) BroadcastExchange -Input [1]: [i_item_sk#106] +(68) BroadcastExchange +Input [1]: [i_item_sk#87] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(71) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_item_sk#95] -Right keys [1]: [i_item_sk#106] +(69) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_item_sk#76] +Right keys [1]: [i_item_sk#87] Join type: Inner Join condition: None -(72) Project [codegen id : 17] -Output [4]: [ss_quantity#98 AS agg1#107, ss_list_price#99 AS agg2#108, ss_coupon_amt#101 AS agg3#109, ss_sales_price#100 AS agg4#110] -Input [6]: [ss_item_sk#95, ss_quantity#98, ss_list_price#99, ss_sales_price#100, ss_coupon_amt#101, i_item_sk#106] +(70) Project [codegen id : 15] +Output [4]: [ss_quantity#79 AS agg1#88, ss_list_price#80 AS agg2#89, ss_coupon_amt#82 AS agg3#90, ss_sales_price#81 AS agg4#91] +Input [6]: [ss_item_sk#76, ss_quantity#79, ss_list_price#80, ss_sales_price#81, ss_coupon_amt#82, i_item_sk#87] -(73) HashAggregate [codegen id : 17] -Input [4]: [agg1#107, agg2#108, agg3#109, agg4#110] +(71) HashAggregate [codegen id : 15] +Input [4]: [agg1#88, agg2#89, agg3#90, agg4#91] Keys: [] -Functions [4]: [partial_avg(agg1#107), partial_avg(UnscaledValue(agg2#108)), partial_avg(UnscaledValue(agg3#109)), partial_avg(UnscaledValue(agg4#110))] -Aggregate Attributes [8]: [sum#111, count#112, sum#113, count#114, sum#115, count#116, sum#117, count#118] -Results [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] +Functions [4]: [partial_avg(agg1#88), partial_avg(UnscaledValue(agg2#89)), partial_avg(UnscaledValue(agg3#90)), partial_avg(UnscaledValue(agg4#91))] +Aggregate Attributes [8]: [sum#92, count#93, sum#94, count#95, sum#96, count#97, sum#98, count#99] +Results [8]: [sum#100, count#101, sum#102, count#103, sum#104, count#105, sum#106, count#107] -(74) CometColumnarExchange -Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] +(72) CometColumnarExchange +Input [8]: [sum#100, count#101, sum#102, count#103, sum#104, count#105, sum#106, count#107] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(75) CometColumnarToRow [codegen id : 18] -Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] - -(76) HashAggregate [codegen id : 18] -Input [8]: [sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] +(73) CometHashAggregate +Input [8]: [sum#100, count#101, sum#102, count#103, sum#104, count#105, sum#106, count#107] Keys: [] -Functions [4]: [avg(agg1#107), avg(UnscaledValue(agg2#108)), avg(UnscaledValue(agg3#109)), avg(UnscaledValue(agg4#110))] -Aggregate Attributes [4]: [avg(agg1#107)#127, avg(UnscaledValue(agg2#108))#128, avg(UnscaledValue(agg3#109))#129, avg(UnscaledValue(agg4#110))#130] -Results [7]: [null AS i_item_id#131, null AS s_state#132, 1 AS g_state#133, avg(agg1#107)#127 AS agg1#134, cast((avg(UnscaledValue(agg2#108))#128 / 100.0) as decimal(11,6)) AS agg2#135, cast((avg(UnscaledValue(agg3#109))#129 / 100.0) as decimal(11,6)) AS agg3#136, cast((avg(UnscaledValue(agg4#110))#130 / 100.0) as decimal(11,6)) AS agg4#137] +Functions [4]: [avg(agg1#88), avg(UnscaledValue(agg2#89)), avg(UnscaledValue(agg3#90)), avg(UnscaledValue(agg4#91))] + +(74) CometUnion +Child 0 Input [7]: [i_item_id#21, s_state#22, g_state#108, agg1#109, agg2#110, agg3#111, agg4#112] +Child 1 Input [7]: [i_item_id#20, s_state#113, g_state#114, agg1#115, agg2#116, agg3#117, agg4#118] +Child 2 Input [7]: [i_item_id#119, s_state#120, g_state#121, agg1#122, agg2#123, agg3#124, agg4#125] -(77) Union +(75) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#108, agg1#109, agg2#110, agg3#111, agg4#112] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#108,agg1#109,agg2#110,agg3#111,agg4#112]), [i_item_id#21, s_state#22, g_state#108, agg1#109, agg2#110, agg3#111, agg4#112], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#108, agg1#109, agg2#110, agg3#111, agg4#112] -(78) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] +(76) CometColumnarToRow [codegen id : 16] +Input [7]: [i_item_id#21, s_state#22, g_state#108, agg1#109, agg2#110, agg3#111, agg4#112] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometProject (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#138] +(77) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_year#126] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(80) CometFilter -Input [2]: [d_date_sk#14, d_year#138] -Condition : ((isnotnull(d_year#138) AND (d_year#138 = 1998)) AND isnotnull(d_date_sk#14)) +(78) CometFilter +Input [2]: [d_date_sk#14, d_year#126] +Condition : ((isnotnull(d_year#126) AND (d_year#126 = 1998)) AND isnotnull(d_date_sk#14)) -(81) CometProject -Input [2]: [d_date_sk#14, d_year#138] +(79) CometProject +Input [2]: [d_date_sk#14, d_year#126] Arguments: [d_date_sk#14], [d_date_sk#14] -(82) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(83) BroadcastExchange +(81) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#59 IN dynamicpruning#9 +Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#50 IN dynamicpruning#9 -Subquery:3 Hosting operator id = 55 Hosting Expression = ss_sold_date_sk#102 IN dynamicpruning#9 +Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#83 IN dynamicpruning#9 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/extended.txt index 9926d14ae2..0bab1403a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/extended.txt @@ -1,84 +1,82 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -113,4 +111,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 41 out of 95 eligible operators (43%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 46 out of 95 eligible operators (48%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/simplified.txt index c7093301af..fd9dd1fc0b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q27a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - Union - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (16) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometUnion [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id,s_state] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -53,12 +53,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (12) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (11) + WholeStageCodegen (10) HashAggregate [i_item_id,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -79,7 +76,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #7 - WholeStageCodegen (9) + WholeStageCodegen (8) CometColumnarToRow InputAdapter CometProject [s_store_sk] @@ -87,12 +84,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (18) - HashAggregate [sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange #8 - WholeStageCodegen (17) + WholeStageCodegen (15) HashAggregate [agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -115,7 +109,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [s_store_sk] #7 InputAdapter BroadcastExchange #9 - WholeStageCodegen (16) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/explain.txt index 587f232ea8..7b77c5b9cb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#19, 10, true, false, true) AS c_salutation#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#25, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#22, 1, true, false, true) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_salutation#18, 10, true, false, true) AS c_salutation#22, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#19, 20, true, false, true) AS c_first_name#23, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#20, 30, true, false, true) AS c_last_name#24, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_preferred_cust_flag#21, 1, true, false, true) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/simplified.txt index 63c6ac3645..a1316ba805 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/explain.txt index 0b89e61f7b..8440a258a3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), avg(cd_dep_count#22), max(cd_dep_count#22), sum(cd_dep_count#22), avg(cd_dep_employed_count#23), max(cd_dep_employed_count#23), sum(cd_dep_employed_count#23), avg(cd_dep_college_count#24), max(cd_dep_college_count#24), sum(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, avg(cd_dep_count#22)#54, max(cd_dep_count#22)#55, sum(cd_dep_count#22)#56, avg(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, sum(cd_dep_employed_count#23)#59, avg(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, sum(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, count(1)#53 AS cnt1#63, avg(cd_dep_count#22)#54 AS avg(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, sum(cd_dep_count#22)#56 AS sum(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, avg(cd_dep_employed_count#23)#57 AS avg(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, sum(cd_dep_employed_count#23)#59 AS sum(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, avg(cd_dep_college_count#24)#60 AS avg(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, sum(cd_dep_college_count#24)#62 AS sum(cd_dep_college_count)#74] -(45) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cd_dep_count#22,cnt1#53,avg(cd_dep_count)#54,max(cd_dep_count)#55,sum(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,avg(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,sum(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,avg(cd_dep_college_count)#62,max(cd_dep_college_count)#63,sum(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] + +(45) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#9, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 2002)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 2002)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/simplified.txt index 0fb95102c3..c64725c467 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/explain.txt index b43ed9b192..1fd5b2b509 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), avg(cd_dep_count#26), max(cd_dep_count#26), sum(cd_dep_count#26), avg(cd_dep_employed_count#27), max(cd_dep_employed_count#27), sum(cd_dep_employed_count#27), avg(cd_dep_college_count#28), max(cd_dep_college_count#28), sum(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, avg(cd_dep_count#26)#58, max(cd_dep_count#26)#59, sum(cd_dep_count#26)#60, avg(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, sum(cd_dep_employed_count#27)#63, avg(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, sum(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, count(1)#57 AS cnt1#67, avg(cd_dep_count#26)#58 AS avg(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, sum(cd_dep_count#26)#60 AS sum(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, avg(cd_dep_employed_count#27)#61 AS avg(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, sum(cd_dep_employed_count#27)#63 AS sum(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, avg(cd_dep_college_count#28)#64 AS avg(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, sum(cd_dep_college_count#28)#66 AS sum(cd_dep_college_count)#78] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cd_dep_count#26,cnt1#57,avg(cd_dep_count)#58,max(cd_dep_count)#59,sum(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,avg(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,sum(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,avg(cd_dep_college_count)#66,max(cd_dep_college_count)#67,sum(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/explain.txt index b43ed9b192..1fd5b2b509 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), avg(cd_dep_count#26), max(cd_dep_count#26), sum(cd_dep_count#26), avg(cd_dep_employed_count#27), max(cd_dep_employed_count#27), sum(cd_dep_employed_count#27), avg(cd_dep_college_count#28), max(cd_dep_college_count#28), sum(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, avg(cd_dep_count#26)#58, max(cd_dep_count#26)#59, sum(cd_dep_count#26)#60, avg(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, sum(cd_dep_employed_count#27)#63, avg(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, sum(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, count(1)#57 AS cnt1#67, avg(cd_dep_count#26)#58 AS avg(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, sum(cd_dep_count#26)#60 AS sum(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, avg(cd_dep_employed_count#27)#61 AS avg(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, sum(cd_dep_employed_count#27)#63 AS sum(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, avg(cd_dep_college_count#28)#64 AS avg(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, sum(cd_dep_college_count#28)#66 AS sum(cd_dep_college_count)#78] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cd_dep_count#26,cnt1#57,avg(cd_dep_count)#58,max(cd_dep_count)#59,sum(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,avg(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,sum(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,avg(cd_dep_college_count)#66,max(cd_dep_college_count)#67,sum(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/explain.txt index 4ff78399c8..e6804467f7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), avg(cd_dep_count#22), max(cd_dep_count#22), sum(cd_dep_count#22), avg(cd_dep_employed_count#23), max(cd_dep_employed_count#23), sum(cd_dep_employed_count#23), avg(cd_dep_college_count#24), max(cd_dep_college_count#24), sum(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, avg(cd_dep_count#22)#54, max(cd_dep_count#22)#55, sum(cd_dep_count#22)#56, avg(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, sum(cd_dep_employed_count#23)#59, avg(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, sum(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, count(1)#53 AS cnt1#63, avg(cd_dep_count#22)#54 AS avg(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, sum(cd_dep_count#22)#56 AS sum(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, avg(cd_dep_employed_count#23)#57 AS avg(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, sum(cd_dep_employed_count#23)#59 AS sum(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, avg(cd_dep_college_count#24)#60 AS avg(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, sum(cd_dep_college_count#24)#62 AS sum(cd_dep_college_count)#74] -(43) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] +(42) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cd_dep_count#22,cnt1#53,avg(cd_dep_count)#54,max(cd_dep_count)#55,sum(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,avg(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,sum(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,avg(cd_dep_college_count)#62,max(cd_dep_college_count)#63,sum(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] + +(43) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#7, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,1999), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 1999)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 1999)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#7, d_year#65, d_qoy#66] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/simplified.txt index bed891a0a3..d943c16ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q35a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/explain.txt index 7911d900e1..ece4703f61 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/explain.txt @@ -1,52 +1,47 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometExchange (43) - +- CometHashAggregate (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- Union (39) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.store (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- ReusedExchange (32) +TakeOrderedAndProject (43) ++- * Project (42) + +- Window (41) + +- * CometColumnarToRow (40) + +- CometSort (39) + +- CometExchange (38) + +- CometHashAggregate (37) + +- CometExchange (36) + +- CometHashAggregate (35) + +- CometUnion (34) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.store (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- ReusedExchange (29) (1) Scan parquet spark_catalog.default.store_sales @@ -64,7 +59,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 53] +(4) ReusedExchange [Reuses operator id: 48] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -152,154 +147,126 @@ Results [4]: [i_category#12, i_class#11, sum#17, sum#18] Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Arguments: hashpartitioning(i_category#12, i_class#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [4]: [i_category#12, i_class#11, sum#17, sum#18] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Keys [2]: [i_category#12, i_class#11] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#19, sum(UnscaledValue(ss_ext_sales_price#3))#20] -Results [6]: [cast((MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#19,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#20,17,2)) as decimal(38,20)) AS gross_margin#21, i_category#12 AS i_category#22, i_class#11 AS i_class#23, 0 AS t_category#24, 0 AS t_class#25, 0 AS lochierarchy#26] - -(25) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#12, i_class#11, sum#27, sum#28] -(26) CometColumnarToRow [codegen id : 10] -Input [4]: [i_category#12, i_class#11, sum#27, sum#28] +(24) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#12, i_class#11, sum#19, sum#20] -(27) HashAggregate [codegen id : 10] -Input [4]: [i_category#12, i_class#11, sum#27, sum#28] +(25) CometHashAggregate +Input [4]: [i_category#12, i_class#11, sum#19, sum#20] Keys [2]: [i_category#12, i_class#11] -Functions [2]: [sum(UnscaledValue(ss_net_profit#29)), sum(UnscaledValue(ss_ext_sales_price#30))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#29))#31, sum(UnscaledValue(ss_ext_sales_price#30))#32] -Results [3]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#29))#31,17,2) AS ss_net_profit#33, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#30))#32,17,2) AS ss_ext_sales_price#34, i_category#12] +Functions [2]: [sum(UnscaledValue(ss_net_profit#21)), sum(UnscaledValue(ss_ext_sales_price#22))] -(28) HashAggregate [codegen id : 10] -Input [3]: [ss_net_profit#33, ss_ext_sales_price#34, i_category#12] +(26) CometHashAggregate +Input [3]: [ss_net_profit#23, ss_ext_sales_price#24, i_category#12] Keys [1]: [i_category#12] -Functions [2]: [partial_sum(ss_net_profit#33), partial_sum(ss_ext_sales_price#34)] -Aggregate Attributes [4]: [sum#35, isEmpty#36, sum#37, isEmpty#38] -Results [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] - -(29) CometColumnarExchange -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] -Arguments: hashpartitioning(i_category#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +Functions [2]: [partial_sum(ss_net_profit#23), partial_sum(ss_ext_sales_price#24)] -(30) CometColumnarToRow [codegen id : 11] -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] +(27) CometExchange +Input [5]: [i_category#12, sum#25, isEmpty#26, sum#27, isEmpty#28] +Arguments: hashpartitioning(i_category#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(31) HashAggregate [codegen id : 11] -Input [5]: [i_category#12, sum#39, isEmpty#40, sum#41, isEmpty#42] +(28) CometHashAggregate +Input [5]: [i_category#12, sum#25, isEmpty#26, sum#27, isEmpty#28] Keys [1]: [i_category#12] -Functions [2]: [sum(ss_net_profit#33), sum(ss_ext_sales_price#34)] -Aggregate Attributes [2]: [sum(ss_net_profit#33)#43, sum(ss_ext_sales_price#34)#44] -Results [6]: [cast((sum(ss_net_profit#33)#43 / sum(ss_ext_sales_price#34)#44) as decimal(38,20)) AS gross_margin#45, i_category#12, null AS i_class#46, 0 AS t_category#47, 1 AS t_class#48, 1 AS lochierarchy#49] - -(32) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#12, i_class#11, sum#50, sum#51] +Functions [2]: [sum(ss_net_profit#23), sum(ss_ext_sales_price#24)] -(33) CometColumnarToRow [codegen id : 16] -Input [4]: [i_category#12, i_class#11, sum#50, sum#51] +(29) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#12, i_class#11, sum#29, sum#30] -(34) HashAggregate [codegen id : 16] -Input [4]: [i_category#12, i_class#11, sum#50, sum#51] +(30) CometHashAggregate +Input [4]: [i_category#12, i_class#11, sum#29, sum#30] Keys [2]: [i_category#12, i_class#11] -Functions [2]: [sum(UnscaledValue(ss_net_profit#52)), sum(UnscaledValue(ss_ext_sales_price#53))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#52))#31, sum(UnscaledValue(ss_ext_sales_price#53))#32] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#52))#31,17,2) AS ss_net_profit#54, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#53))#32,17,2) AS ss_ext_sales_price#55] +Functions [2]: [sum(UnscaledValue(ss_net_profit#31)), sum(UnscaledValue(ss_ext_sales_price#32))] -(35) HashAggregate [codegen id : 16] -Input [2]: [ss_net_profit#54, ss_ext_sales_price#55] +(31) CometHashAggregate +Input [2]: [ss_net_profit#33, ss_ext_sales_price#34] Keys: [] -Functions [2]: [partial_sum(ss_net_profit#54), partial_sum(ss_ext_sales_price#55)] -Aggregate Attributes [4]: [sum#56, isEmpty#57, sum#58, isEmpty#59] -Results [4]: [sum#60, isEmpty#61, sum#62, isEmpty#63] - -(36) CometColumnarExchange -Input [4]: [sum#60, isEmpty#61, sum#62, isEmpty#63] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [2]: [partial_sum(ss_net_profit#33), partial_sum(ss_ext_sales_price#34)] -(37) CometColumnarToRow [codegen id : 17] -Input [4]: [sum#60, isEmpty#61, sum#62, isEmpty#63] +(32) CometExchange +Input [4]: [sum#35, isEmpty#36, sum#37, isEmpty#38] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(38) HashAggregate [codegen id : 17] -Input [4]: [sum#60, isEmpty#61, sum#62, isEmpty#63] +(33) CometHashAggregate +Input [4]: [sum#35, isEmpty#36, sum#37, isEmpty#38] Keys: [] -Functions [2]: [sum(ss_net_profit#54), sum(ss_ext_sales_price#55)] -Aggregate Attributes [2]: [sum(ss_net_profit#54)#64, sum(ss_ext_sales_price#55)#65] -Results [6]: [cast((sum(ss_net_profit#54)#64 / sum(ss_ext_sales_price#55)#65) as decimal(38,20)) AS gross_margin#66, null AS i_category#67, null AS i_class#68, 1 AS t_category#69, 1 AS t_class#70, 2 AS lochierarchy#71] +Functions [2]: [sum(ss_net_profit#33), sum(ss_ext_sales_price#34)] -(39) Union +(34) CometUnion +Child 0 Input [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] +Child 1 Input [6]: [gross_margin#45, i_category#12, i_class#46, t_category#47, t_class#48, lochierarchy#49] +Child 2 Input [6]: [gross_margin#50, i_category#51, i_class#52, t_category#53, t_class#54, lochierarchy#55] -(40) HashAggregate [codegen id : 18] -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(35) CometHashAggregate +Input [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] +Keys [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] Functions: [] -Aggregate Attributes: [] -Results [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -(41) CometColumnarExchange -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Arguments: hashpartitioning(gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(36) CometExchange +Input [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] +Arguments: hashpartitioning(gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(42) CometHashAggregate -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(37) CometHashAggregate +Input [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] +Keys [6]: [gross_margin#39, i_category#40, i_class#41, t_category#42, t_class#43, lochierarchy#44] Functions: [] -(43) CometExchange -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72] -Arguments: hashpartitioning(lochierarchy#26, _w0#72, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56] +Arguments: hashpartitioning(lochierarchy#44, _w0#56, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(44) CometSort -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72] -Arguments: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72], [lochierarchy#26 ASC NULLS FIRST, _w0#72 ASC NULLS FIRST, gross_margin#21 ASC NULLS FIRST] +(39) CometSort +Input [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56] +Arguments: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56], [lochierarchy#44 ASC NULLS FIRST, _w0#56 ASC NULLS FIRST, gross_margin#39 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 19] -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72] +(40) CometColumnarToRow [codegen id : 13] +Input [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56] -(46) Window -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72] -Arguments: [rank(gross_margin#21) windowspecdefinition(lochierarchy#26, _w0#72, gross_margin#21 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#73], [lochierarchy#26, _w0#72], [gross_margin#21 ASC NULLS FIRST] +(41) Window +Input [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56] +Arguments: [rank(gross_margin#39) windowspecdefinition(lochierarchy#44, _w0#56, gross_margin#39 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#57], [lochierarchy#44, _w0#56], [gross_margin#39 ASC NULLS FIRST] -(47) Project [codegen id : 20] -Output [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#73] -Input [6]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#72, rank_within_parent#73] +(42) Project [codegen id : 14] +Output [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, rank_within_parent#57] +Input [6]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, _w0#56, rank_within_parent#57] -(48) TakeOrderedAndProject -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#73] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN i_category#22 END ASC NULLS FIRST, rank_within_parent#73 ASC NULLS FIRST], [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#73] +(43) TakeOrderedAndProject +Input [5]: [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, rank_within_parent#57] +Arguments: 100, [lochierarchy#44 DESC NULLS LAST, CASE WHEN (lochierarchy#44 = 0) THEN i_category#40 END ASC NULLS FIRST, rank_within_parent#57 ASC NULLS FIRST], [gross_margin#39, i_category#40, i_class#41, lochierarchy#44, rank_within_parent#57] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometNativeScan parquet spark_catalog.default.date_dim (49) +BroadcastExchange (48) ++- * CometColumnarToRow (47) + +- CometProject (46) + +- CometFilter (45) + +- CometNativeScan parquet spark_catalog.default.date_dim (44) -(49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#74] +(44) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#58] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter -Input [2]: [d_date_sk#7, d_year#74] -Condition : ((isnotnull(d_year#74) AND (d_year#74 = 2001)) AND isnotnull(d_date_sk#7)) +(45) CometFilter +Input [2]: [d_date_sk#7, d_year#58] +Condition : ((isnotnull(d_year#58) AND (d_year#58 = 2001)) AND isnotnull(d_date_sk#7)) -(51) CometProject -Input [2]: [d_date_sk#7, d_year#74] +(46) CometProject +Input [2]: [d_date_sk#7, d_year#58] Arguments: [d_date_sk#7], [d_date_sk#7] -(52) CometColumnarToRow [codegen id : 1] +(47) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(53) BroadcastExchange +(48) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/extended.txt index 7d9e9883d2..65d4e76c9e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/extended.txt @@ -5,118 +5,113 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 45 out of 99 eligible operators (45%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 54 out of 99 eligible operators (54%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/simplified.txt index 65728fc6f2..49f763301b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q36a.native_datafusion/simplified.txt @@ -1,81 +1,64 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [gross_margin,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [t_category] [gross_margin,i_category,i_class,lochierarchy,_w0,t_class] - CometColumnarExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - WholeStageCodegen (11) - HashAggregate [i_category,sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #7 - WholeStageCodegen (10) - HashAggregate [i_category,ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (16) - HashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 + CometExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 + CometHashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometUnion [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange [i_category] #7 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [i_category,sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,i_category,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange #8 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_category,i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/explain.txt index 9613d03c41..d3e9e9f9b3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum#28] -Keys [6]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(ss_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#29))#19] -Results [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(ss_sales_price#29))#19,17,2) AS sum_sales#20] +(32) CometHashAggregate +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum#27] +Keys [6]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#28))] -(35) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#24 ASC NULLS FIRST, s_company_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#23 ASC NULLS FIRST, s_company_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] -(38) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#5, i_brand#4, s_store_name#24, s_company_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#29], [i_category#5, i_brand#4, s_store_name#23, s_company_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#5 AS i_category#31, i_brand#4 AS i_brand#32, s_store_name#24, s_company_name#25, sum_sales#20 AS sum_sales#33, rn#30] -Input [8]: [i_category#5, i_brand#4, s_store_name#24, s_company_name#25, d_year#26, d_moy#27, sum_sales#20, rn#30] +(37) Project [codegen id : 12] +Output [6]: [i_category#5 AS i_category#30, i_brand#4 AS i_brand#31, s_store_name#23, s_company_name#24, sum_sales#19 AS sum_sales#32, rn#29] +Input [8]: [i_category#5, i_brand#4, s_store_name#23, s_company_name#24, d_year#25, d_moy#26, sum_sales#19, rn#29] -(40) BroadcastExchange -Input [6]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(38) BroadcastExchange +Input [6]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#31, i_brand#32, s_store_name#24, s_company_name#25, (rn#30 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#30, i_brand#31, s_store_name#23, s_company_name#24, (rn#29 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#31, i_brand#32, s_store_name#24, s_company_name#25, sum_sales#33, rn#30] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#30, i_brand#31, s_store_name#23, s_company_name#24, sum_sales#32, rn#29] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(44) CometSort -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#34 ASC NULLS FIRST, s_company_name#35 ASC NULLS FIRST, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#33 ASC NULLS FIRST, s_company_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] -(46) Window -Input [7]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20] -Arguments: [rank(d_year#36, d_moy#37) windowspecdefinition(i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#5, i_brand#4, s_store_name#34, s_company_name#35], [d_year#36 ASC NULLS FIRST, d_moy#37 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19] +Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#5, i_brand#4, s_store_name#33, s_company_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#5 AS i_category#39, i_brand#4 AS i_brand#40, s_store_name#34, s_company_name#35, sum_sales#20 AS sum_sales#41, rn#38] -Input [8]: [i_category#5, i_brand#4, s_store_name#34, s_company_name#35, d_year#36, d_moy#37, sum_sales#20, rn#38] +(45) Project [codegen id : 18] +Output [6]: [i_category#5 AS i_category#38, i_brand#4 AS i_brand#39, s_store_name#33, s_company_name#34, sum_sales#19 AS sum_sales#40, rn#37] +Input [8]: [i_category#5, i_brand#4, s_store_name#33, s_company_name#34, d_year#35, d_moy#36, sum_sales#19, rn#37] -(48) BroadcastExchange -Input [6]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(46) BroadcastExchange +Input [6]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#39, i_brand#40, s_store_name#34, s_company_name#35, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#38, i_brand#39, s_store_name#33, s_company_name#34, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#33 AS psum#42, sum_sales#41 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#33, i_category#39, i_brand#40, s_store_name#34, s_company_name#35, sum_sales#41, rn#38] +(48) Project [codegen id : 19] +Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#32 AS psum#41, sum_sales#40 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#32, i_category#38, i_brand#39, s_store_name#33, s_company_name#34, sum_sales#40, rn#37] -(51) TakeOrderedAndProject -Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/simplified.txt index ee8e4dd40c..81fdb92425 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum, Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/explain.txt index 070113d8ea..2ef9d10c5d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST,item#30 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST, item#30 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST,item#26 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST, item#26 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/explain.txt index 23adfe692b..dd71cc3f5b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/explain.txt @@ -1,81 +1,77 @@ == Physical Plan == -TakeOrderedAndProject (77) -+- * Filter (76) - +- * HashAggregate (75) - +- * HashAggregate (74) - +- * Project (73) - +- * BroadcastHashJoin Inner BuildRight (72) - :- Window (65) - : +- * CometColumnarToRow (64) - : +- CometSort (63) - : +- CometExchange (62) - : +- CometProject (61) - : +- CometFilter (60) - : +- CometSortMergeJoin (59) - : :- CometSort (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * CometColumnarToRow (26) - : : +- CometColumnarExchange (25) - : : +- * HashAggregate (24) - : : +- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Project (15) - : : : +- Window (14) - : : : +- * CometColumnarToRow (13) - : : : +- CometSort (12) - : : : +- CometColumnarExchange (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (21) - : : +- * Project (20) - : : +- Window (19) - : : +- * CometColumnarToRow (18) - : : +- CometSort (17) - : : +- ReusedExchange (16) - : +- CometSort (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * CometColumnarToRow (55) - : +- CometColumnarExchange (54) - : +- * HashAggregate (53) - : +- * Project (52) - : +- * BroadcastHashJoin Inner BuildRight (51) - : :- * Project (44) - : : +- Window (43) - : : +- * CometColumnarToRow (42) - : : +- CometSort (41) - : : +- CometColumnarExchange (40) - : : +- * HashAggregate (39) - : : +- * CometColumnarToRow (38) - : : +- CometColumnarExchange (37) - : : +- * HashAggregate (36) - : : +- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- ReusedExchange (33) - : +- BroadcastExchange (50) - : +- * Project (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- ReusedExchange (45) - +- BroadcastExchange (71) - +- * Project (70) - +- Window (69) - +- * CometColumnarToRow (68) - +- CometSort (67) - +- ReusedExchange (66) +TakeOrderedAndProject (73) ++- * Filter (72) + +- * HashAggregate (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- Window (61) + : +- * CometColumnarToRow (60) + : +- CometSort (59) + : +- CometExchange (58) + : +- CometProject (57) + : +- CometFilter (56) + : +- CometSortMergeJoin (55) + : :- CometSort (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometColumnarExchange (24) + : : +- * HashAggregate (23) + : : +- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Project (14) + : : : +- Window (13) + : : : +- * CometColumnarToRow (12) + : : : +- CometSort (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (20) + : : +- * Project (19) + : : +- Window (18) + : : +- * CometColumnarToRow (17) + : : +- CometSort (16) + : : +- ReusedExchange (15) + : +- CometSort (54) + : +- CometExchange (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (41) + : : +- Window (40) + : : +- * CometColumnarToRow (39) + : : +- CometSort (38) + : : +- CometExchange (37) + : : +- CometHashAggregate (36) + : : +- CometColumnarExchange (35) + : : +- * HashAggregate (34) + : : +- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Filter (30) + : : : +- * ColumnarToRow (29) + : : : +- Scan parquet spark_catalog.default.store_sales (28) + : : +- ReusedExchange (31) + : +- BroadcastExchange (47) + : +- * Project (46) + : +- Window (45) + : +- * CometColumnarToRow (44) + : +- CometSort (43) + : +- ReusedExchange (42) + +- BroadcastExchange (67) + +- * Project (66) + +- Window (65) + +- * CometColumnarToRow (64) + +- CometSort (63) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -93,7 +89,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 82] +(4) ReusedExchange [Reuses operator id: 78] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -117,339 +113,319 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS sumws#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, rk#12] -Input [5]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1, rk#12] +(14) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, rk#11] +Input [5]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1, rk#11] -(16) ReusedExchange [Reuses operator id: 11] -Output [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] +(15) ReusedExchange [Reuses operator id: 10] +Output [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] -(17) CometSort -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] -Arguments: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14], [ws_item_sk#14 ASC NULLS FIRST, d_date#13 ASC NULLS FIRST] +(16) CometSort +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] +Arguments: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13], [ws_item_sk#13 ASC NULLS FIRST, d_date#12 ASC NULLS FIRST] -(18) CometColumnarToRow [codegen id : 8] -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] +(17) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] -(19) Window -Input [4]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14] -Arguments: [row_number() windowspecdefinition(ws_item_sk#14, d_date#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#15], [ws_item_sk#14], [d_date#13 ASC NULLS FIRST] +(18) Window +Input [4]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13] +Arguments: [row_number() windowspecdefinition(ws_item_sk#13, d_date#12 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#14], [ws_item_sk#13], [d_date#12 ASC NULLS FIRST] -(20) Project [codegen id : 9] -Output [3]: [item_sk#10 AS item_sk#16, sumws#11 AS sumws#17, rk#15] -Input [5]: [item_sk#10, d_date#13, sumws#11, ws_item_sk#14, rk#15] +(19) Project [codegen id : 7] +Output [3]: [item_sk#9 AS item_sk#15, sumws#10 AS sumws#16, rk#14] +Input [5]: [item_sk#9, d_date#12, sumws#10, ws_item_sk#13, rk#14] -(21) BroadcastExchange -Input [3]: [item_sk#16, sumws#17, rk#15] +(20) BroadcastExchange +Input [3]: [item_sk#15, sumws#16, rk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(22) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [item_sk#10] -Right keys [1]: [item_sk#16] +(21) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#9] +Right keys [1]: [item_sk#15] Join type: Inner -Join condition: (rk#12 >= rk#15) - -(23) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, sumws#17] -Input [7]: [item_sk#10, d_date#6, sumws#11, rk#12, item_sk#16, sumws#17, rk#15] - -(24) HashAggregate [codegen id : 10] -Input [4]: [item_sk#10, d_date#6, sumws#11, sumws#17] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [partial_sum(sumws#17)] -Aggregate Attributes [2]: [sum#18, isEmpty#19] -Results [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(25) CometColumnarExchange -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Arguments: hashpartitioning(item_sk#10, d_date#6, sumws#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(26) CometColumnarToRow [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(27) HashAggregate [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [sum(sumws#17)] -Aggregate Attributes [1]: [sum(sumws#17)#22] -Results [3]: [item_sk#10, d_date#6, sum(sumws#17)#22 AS cume_sales#23] - -(28) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(29) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: [item_sk#10, d_date#6, cume_sales#23], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] - -(30) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +Join condition: (rk#11 >= rk#14) + +(22) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, sumws#16] +Input [7]: [item_sk#9, d_date#6, sumws#10, rk#11, item_sk#15, sumws#16, rk#14] + +(23) HashAggregate [codegen id : 8] +Input [4]: [item_sk#9, d_date#6, sumws#10, sumws#16] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [partial_sum(sumws#16)] +Aggregate Attributes [2]: [sum#17, isEmpty#18] +Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] + +(24) CometColumnarExchange +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(25) CometHashAggregate +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [sum(sumws#16)] + +(26) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(27) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] + +(28) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#26), dynamicpruningexpression(ss_sold_date_sk#26 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +(29) ColumnarToRow [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] -(32) Filter [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] -Condition : isnotnull(ss_item_sk#24) +(30) Filter [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 82] -Output [2]: [d_date_sk#27, d_date#28] +(31) ReusedExchange [Reuses operator id: 78] +Output [2]: [d_date_sk#25, d_date#26] -(34) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#26] -Right keys [1]: [d_date_sk#27] +(32) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#25] Join type: Inner Join condition: None -(35) Project [codegen id : 13] -Output [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Input [5]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26, d_date_sk#27, d_date#28] - -(36) HashAggregate [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum#29] -Results [3]: [ss_item_sk#24, d_date#28, sum#30] +(33) Project [codegen id : 10] +Output [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#25, d_date#26] -(37) CometColumnarExchange -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Arguments: hashpartitioning(ss_item_sk#24, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(34) HashAggregate [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] +Aggregate Attributes [1]: [sum#27] +Results [3]: [ss_item_sk#22, d_date#26, sum#28] -(38) CometColumnarToRow [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] +(35) CometColumnarExchange +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(39) HashAggregate [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#25))#31] -Results [4]: [ss_item_sk#24 AS item_sk#32, d_date#28, MakeDecimal(sum(UnscaledValue(ss_sales_price#25))#31,17,2) AS sumss#33, ss_item_sk#24] +(36) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(40) CometColumnarExchange -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: hashpartitioning(ss_item_sk#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(37) CometExchange +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(41) CometSort -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24], [ss_item_sk#24 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(38) CometSort +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] -(42) CometColumnarToRow [codegen id : 15] -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] +(39) CometColumnarToRow [codegen id : 11] +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] -(43) Window -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [row_number() windowspecdefinition(ss_item_sk#24, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#24], [d_date#28 ASC NULLS FIRST] +(40) Window +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#26 ASC NULLS FIRST] -(44) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, rk#34] -Input [5]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24, rk#34] +(41) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22, rk#31] -(45) ReusedExchange [Reuses operator id: 40] -Output [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] +(42) ReusedExchange [Reuses operator id: 37] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(46) CometSort -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] -Arguments: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36], [ss_item_sk#36 ASC NULLS FIRST, d_date#35 ASC NULLS FIRST] +(43) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 19] -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] +(44) CometColumnarToRow [codegen id : 14] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(48) Window -Input [4]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36] -Arguments: [row_number() windowspecdefinition(ss_item_sk#36, d_date#35 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [ss_item_sk#36], [d_date#35 ASC NULLS FIRST] +(45) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(49) Project [codegen id : 20] -Output [3]: [item_sk#32 AS item_sk#38, sumss#33 AS sumss#39, rk#37] -Input [5]: [item_sk#32, d_date#35, sumss#33, ss_item_sk#36, rk#37] +(46) Project [codegen id : 15] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(50) BroadcastExchange -Input [3]: [item_sk#38, sumss#39, rk#37] +(47) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(51) BroadcastHashJoin [codegen id : 21] -Left keys [1]: [item_sk#32] -Right keys [1]: [item_sk#38] +(48) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#34 >= rk#37) - -(52) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, sumss#39] -Input [7]: [item_sk#32, d_date#28, sumss#33, rk#34, item_sk#38, sumss#39, rk#37] - -(53) HashAggregate [codegen id : 21] -Input [4]: [item_sk#32, d_date#28, sumss#33, sumss#39] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [partial_sum(sumss#39)] -Aggregate Attributes [2]: [sum#40, isEmpty#41] -Results [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(54) CometColumnarExchange -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Arguments: hashpartitioning(item_sk#32, d_date#28, sumss#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(55) CometColumnarToRow [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(56) HashAggregate [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [sum(sumss#39)] -Aggregate Attributes [1]: [sum(sumss#39)#44] -Results [3]: [item_sk#32, d_date#28, sum(sumss#39)#44 AS cume_sales#45] - -(57) CometColumnarExchange -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: hashpartitioning(item_sk#32, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(58) CometSort -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#32, d_date#28, cume_sales#45], [item_sk#32 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] - -(59) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#23] -Right output [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#10, d_date#6], [item_sk#32, d_date#28], FullOuter - -(60) CometFilter -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END) - -(61) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END AS item_sk#46, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#47, cume_sales#23 AS web_sales#48, cume_sales#45 AS store_sales#49] - -(62) CometExchange -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: hashpartitioning(item_sk#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +Join condition: (rk#31 >= rk#34) -(63) CometSort -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST] +(49) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#26, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(64) CometColumnarToRow [codegen id : 23] -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(50) HashAggregate [codegen id : 16] +Input [4]: [item_sk#29, d_date#26, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] -(65) Window -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [row_number() windowspecdefinition(item_sk#46, d_date#47 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#50], [item_sk#46], [d_date#47 ASC NULLS FIRST] +(51) CometColumnarExchange +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#26, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(52) CometHashAggregate +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [sum(sumss#36)] + +(53) CometExchange +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] + +(54) CometSort +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#29, d_date#26, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] + +(55) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#26], FullOuter -(66) ReusedExchange [Reuses operator id: 62] -Output [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(56) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(67) CometSort -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST] +(57) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#26 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(68) CometColumnarToRow [codegen id : 46] -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(58) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(69) Window -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [row_number() windowspecdefinition(item_sk#46, d_date#47 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#51], [item_sk#46], [d_date#47 ASC NULLS FIRST] +(59) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] + +(60) CometColumnarToRow [codegen id : 17] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(61) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] + +(62) ReusedExchange [Reuses operator id: 58] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(63) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] + +(64) CometColumnarToRow [codegen id : 34] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(65) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(70) Project [codegen id : 47] -Output [4]: [item_sk#46 AS item_sk#52, web_sales#48 AS web_sales#53, store_sales#49 AS store_sales#54, rk#51] -Input [5]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, rk#51] +(66) Project [codegen id : 35] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(71) BroadcastExchange -Input [4]: [item_sk#52, web_sales#53, store_sales#54, rk#51] +(67) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(72) BroadcastHashJoin [codegen id : 48] -Left keys [1]: [item_sk#46] -Right keys [1]: [item_sk#52] +(68) BroadcastHashJoin [codegen id : 36] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#50 >= rk#51) - -(73) Project [codegen id : 48] -Output [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Input [9]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, rk#50, item_sk#52, web_sales#53, store_sales#54, rk#51] - -(74) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [partial_max(web_sales#53), partial_max(store_sales#54)] -Aggregate Attributes [2]: [max#55, max#56] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#57, max#58] - -(75) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#57, max#58] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [max(web_sales#53), max(store_sales#54)] -Aggregate Attributes [2]: [max(web_sales#53)#59, max(store_sales#54)#60] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max(web_sales#53)#59 AS web_cumulative#61, max(store_sales#54)#60 AS store_cumulative#62] - -(76) Filter [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] -Condition : ((isnotnull(web_cumulative#61) AND isnotnull(store_cumulative#62)) AND (web_cumulative#61 > store_cumulative#62)) - -(77) TakeOrderedAndProject -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] -Arguments: 100, [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST], [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#61, store_cumulative#62] +Join condition: (rk#46 >= rk#47) + +(69) Project [codegen id : 36] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(70) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(71) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(72) Filter [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(73) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (82) -+- * CometColumnarToRow (81) - +- CometProject (80) - +- CometFilter (79) - +- CometNativeScan parquet spark_catalog.default.date_dim (78) +BroadcastExchange (78) ++- * CometColumnarToRow (77) + +- CometProject (76) + +- CometFilter (75) + +- CometNativeScan parquet spark_catalog.default.date_dim (74) -(78) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#63] +(74) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#59] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(79) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#63] -Condition : (((isnotnull(d_month_seq#63) AND (d_month_seq#63 >= 1212)) AND (d_month_seq#63 <= 1223)) AND isnotnull(d_date_sk#5)) +(75) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#59] +Condition : (((isnotnull(d_month_seq#59) AND (d_month_seq#59 >= 1212)) AND (d_month_seq#59 <= 1223)) AND isnotnull(d_date_sk#5)) -(80) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#63] +(76) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#59] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(81) CometColumnarToRow [codegen id : 1] +(77) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(82) BroadcastExchange +(78) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#26 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 28 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/extended.txt index 8eb3f067e2..ca5a28b519 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/extended.txt @@ -12,113 +12,107 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -129,112 +123,106 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 82 out of 196 eligible operators (41%). Final plan contains 42 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 94 out of 196 eligible operators (47%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/simplified.txt index 00cd0a509c..fdfacd9e58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (48) + WholeStageCodegen (36) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (23) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,111 +16,99 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (11) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #5 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometColumnarExchange [ws_item_sk] #4 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,sumws,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #5 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #8 - WholeStageCodegen (22) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #9 - WholeStageCodegen (21) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #8 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #9 + WholeStageCodegen (16) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #10 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #11 + WholeStageCodegen (10) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] - WholeStageCodegen (15) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (14) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,sumss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #11 - WholeStageCodegen (13) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (20) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (19) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 InputAdapter BroadcastExchange #13 - WholeStageCodegen (47) + WholeStageCodegen (35) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (46) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/explain.txt index f8a95a6db8..381dff9ac1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#16)] -Aggregate Attributes [1]: [sum(sumws#16)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#16)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(45) CometSort -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34], [ss_item_sk#34 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(47) Window -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [row_number() windowspecdefinition(ss_item_sk#34, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#35], [ss_item_sk#34], [d_date#33 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#30 AS item_sk#36, sumss#31 AS sumss#37, rk#35] -Input [5]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34, rk#35] +(47) Project [codegen id : 7] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(49) BroadcastExchange -Input [3]: [item_sk#36, sumss#37, rk#35] +(48) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#36] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#32 >= rk#35) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#36, sumss#37, rk#35] +Join condition: (rk#31 >= rk#34) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#37)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#37)] -Aggregate Attributes [1]: [sum(sumss#37)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#37)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#36)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(66) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(68) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#49], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#44 AS item_sk#50, web_sales#46 AS web_sales#51, store_sales#47 AS store_sales#52, rk#49] -Input [5]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#49] +(67) Project [codegen id : 19] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(70) BroadcastExchange -Input [4]: [item_sk#50, web_sales#51, store_sales#52, rk#49] +(68) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#50] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#48 >= rk#49) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#50, web_sales#51, store_sales#52, rk#49] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#53, max#54] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#57, max(store_sales#52)#58] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#57 AS web_cumulative#59, max(store_sales#52)#58 AS store_cumulative#60] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Condition : ((isnotnull(web_cumulative#59) AND isnotnull(store_cumulative#60)) AND (web_cumulative#59 > store_cumulative#60)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] +Join condition: (rk#46 >= rk#47) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a.native_iceberg_compat/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/explain.txt index f8a95a6db8..381dff9ac1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#16)] -Aggregate Attributes [1]: [sum(sumws#16)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#16)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(45) CometSort -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34], [ss_item_sk#34 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33], [ss_item_sk#33 ASC NULLS FIRST, d_date#32 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] -(47) Window -Input [4]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34] -Arguments: [row_number() windowspecdefinition(ss_item_sk#34, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#35], [ss_item_sk#34], [d_date#33 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33] +Arguments: [row_number() windowspecdefinition(ss_item_sk#33, d_date#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#33], [d_date#32 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#30 AS item_sk#36, sumss#31 AS sumss#37, rk#35] -Input [5]: [item_sk#30, d_date#33, sumss#31, ss_item_sk#34, rk#35] +(47) Project [codegen id : 7] +Output [3]: [item_sk#29 AS item_sk#35, sumss#30 AS sumss#36, rk#34] +Input [5]: [item_sk#29, d_date#32, sumss#30, ss_item_sk#33, rk#34] -(49) BroadcastExchange -Input [3]: [item_sk#36, sumss#37, rk#35] +(48) BroadcastExchange +Input [3]: [item_sk#35, sumss#36, rk#34] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#36] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#35] Join type: Inner -Join condition: (rk#32 >= rk#35) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#36, sumss#37, rk#35] +Join condition: (rk#31 >= rk#34) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#37] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#37)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#35, sumss#36, rk#34] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#36] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#36)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#37)] -Aggregate Attributes [1]: [sum(sumss#37)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#37)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#36)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(66) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(68) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#49], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#47], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#44 AS item_sk#50, web_sales#46 AS web_sales#51, store_sales#47 AS store_sales#52, rk#49] -Input [5]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#49] +(67) Project [codegen id : 19] +Output [4]: [item_sk#42 AS item_sk#48, web_sales#44 AS web_sales#49, store_sales#45 AS store_sales#50, rk#47] +Input [5]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#47] -(70) BroadcastExchange -Input [4]: [item_sk#50, web_sales#51, store_sales#52, rk#49] +(68) BroadcastExchange +Input [4]: [item_sk#48, web_sales#49, store_sales#50, rk#47] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#50] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#48] Join type: Inner -Join condition: (rk#48 >= rk#49) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#50, web_sales#51, store_sales#52, rk#49] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#53, max#54] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#55, max#56] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#57, max(store_sales#52)#58] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#57 AS web_cumulative#59, max(store_sales#52)#58 AS store_cumulative#60] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Condition : ((isnotnull(web_cumulative#59) AND isnotnull(store_cumulative#60)) AND (web_cumulative#59 > store_cumulative#60)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#59, store_cumulative#60] +Join condition: (rk#46 >= rk#47) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#48, web_sales#49, store_sales#50, rk#47] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#51, max#52] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#53, max#54] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#55, max(store_sales#50)#56] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#55 AS web_cumulative#57, max(store_sales#50)#56 AS store_cumulative#58] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Condition : ((isnotnull(web_cumulative#57) AND isnotnull(store_cumulative#58)) AND (web_cumulative#57 > store_cumulative#58)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#57, store_cumulative#58] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q51a/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/explain.txt index be90722d2e..0938c362c9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum#26] -Keys [5]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25] -Functions [1]: [sum(UnscaledValue(cs_sales_price#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#27))#18] -Results [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, MakeDecimal(sum(UnscaledValue(cs_sales_price#27))#18,17,2) AS sum_sales#19] +(32) CometHashAggregate +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum#25] +Keys [5]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24] +Functions [1]: [sum(UnscaledValue(cs_sales_price#26))] -(35) CometColumnarExchange -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#23 ASC NULLS FIRST, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#22 ASC NULLS FIRST, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] -(38) Window -Input [6]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19] -Arguments: [rank(d_year#24, d_moy#25) windowspecdefinition(i_category#5, i_brand#4, cc_name#23, d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#28], [i_category#5, i_brand#4, cc_name#23], [d_year#24 ASC NULLS FIRST, d_moy#25 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18] +Arguments: [rank(d_year#23, d_moy#24) windowspecdefinition(i_category#5, i_brand#4, cc_name#22, d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#27], [i_category#5, i_brand#4, cc_name#22], [d_year#23 ASC NULLS FIRST, d_moy#24 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#5 AS i_category#29, i_brand#4 AS i_brand#30, cc_name#23, sum_sales#19 AS sum_sales#31, rn#28] -Input [7]: [i_category#5, i_brand#4, cc_name#23, d_year#24, d_moy#25, sum_sales#19, rn#28] +(37) Project [codegen id : 12] +Output [5]: [i_category#5 AS i_category#28, i_brand#4 AS i_brand#29, cc_name#22, sum_sales#18 AS sum_sales#30, rn#27] +Input [7]: [i_category#5, i_brand#4, cc_name#22, d_year#23, d_moy#24, sum_sales#18, rn#27] -(40) BroadcastExchange -Input [5]: [i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(38) BroadcastExchange +Input [5]: [i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#29, i_brand#30, cc_name#23, (rn#28 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#28, i_brand#29, cc_name#22, (rn#27 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#29, i_brand#30, cc_name#23, sum_sales#31, rn#28] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#28, i_brand#29, cc_name#22, sum_sales#30, rn#27] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(44) CometSort -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#32 ASC NULLS FIRST, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] -(46) Window -Input [6]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19] -Arguments: [rank(d_year#33, d_moy#34) windowspecdefinition(i_category#5, i_brand#4, cc_name#32, d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#35], [i_category#5, i_brand#4, cc_name#32], [d_year#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18] +Arguments: [rank(d_year#32, d_moy#33) windowspecdefinition(i_category#5, i_brand#4, cc_name#31, d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#34], [i_category#5, i_brand#4, cc_name#31], [d_year#32 ASC NULLS FIRST, d_moy#33 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#5 AS i_category#36, i_brand#4 AS i_brand#37, cc_name#32, sum_sales#19 AS sum_sales#38, rn#35] -Input [7]: [i_category#5, i_brand#4, cc_name#32, d_year#33, d_moy#34, sum_sales#19, rn#35] +(45) Project [codegen id : 18] +Output [5]: [i_category#5 AS i_category#35, i_brand#4 AS i_brand#36, cc_name#31, sum_sales#18 AS sum_sales#37, rn#34] +Input [7]: [i_category#5, i_brand#4, cc_name#31, d_year#32, d_moy#33, sum_sales#18, rn#34] -(48) BroadcastExchange -Input [5]: [i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(46) BroadcastExchange +Input [5]: [i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#36, i_brand#37, cc_name#32, (rn#35 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#35, i_brand#36, cc_name#31, (rn#34 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#39, sum_sales#38 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#36, i_brand#37, cc_name#32, sum_sales#38, rn#35] +(48) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#30 AS psum#38, sum_sales#37 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#30, i_category#35, i_brand#36, cc_name#31, sum_sales#37, rn#34] -(51) TakeOrderedAndProject -Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/simplified.txt index e603f05322..430ec52926 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_m Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/explain.txt index 62a1484a64..6dc3bfd830 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/explain.txt @@ -1,103 +1,95 @@ == Physical Plan == -* CometColumnarToRow (99) -+- CometTakeOrderedAndProject (98) - +- CometHashAggregate (97) - +- CometColumnarExchange (96) - +- * HashAggregate (95) - +- Union (94) - :- * HashAggregate (79) - : +- * CometColumnarToRow (78) - : +- CometColumnarExchange (77) - : +- * HashAggregate (76) - : +- Union (75) - : :- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- Union (9) - : : : : :- * Project (4) - : : : : : +- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- * Project (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : : +- ReusedExchange (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : :- * HashAggregate (46) - : : +- * CometColumnarToRow (45) - : : +- CometColumnarExchange (44) - : : +- * HashAggregate (43) - : : +- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- Union (32) - : : : : :- * Project (27) - : : : : : +- * Filter (26) - : : : : : +- * ColumnarToRow (25) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : : +- * Project (31) - : : : : +- * Filter (30) - : : : : +- * ColumnarToRow (29) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : : +- ReusedExchange (33) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - : +- * HashAggregate (74) - : +- * CometColumnarToRow (73) - : +- CometColumnarExchange (72) - : +- * HashAggregate (71) - : +- * Project (70) - : +- * BroadcastHashJoin Inner BuildRight (69) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- Union (60) - : : : :- * Project (50) - : : : : +- * Filter (49) - : : : : +- * ColumnarToRow (48) - : : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : : +- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : : :- BroadcastExchange (53) - : : : : +- * ColumnarToRow (52) - : : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : : +- * CometColumnarToRow (57) - : : : +- CometProject (56) - : : : +- CometFilter (55) - : : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (61) - : +- BroadcastExchange (68) - : +- * CometColumnarToRow (67) - : +- CometProject (66) - : +- CometFilter (65) - : +- CometNativeScan parquet spark_catalog.default.web_site (64) - :- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- CometColumnarExchange (84) - : +- * HashAggregate (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- ReusedExchange (80) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- CometColumnarExchange (91) - +- * HashAggregate (90) - +- * HashAggregate (89) - +- * CometColumnarToRow (88) - +- ReusedExchange (87) +* CometColumnarToRow (91) ++- CometTakeOrderedAndProject (90) + +- CometHashAggregate (89) + +- CometExchange (88) + +- CometHashAggregate (87) + +- CometUnion (86) + :- CometHashAggregate (75) + : +- CometExchange (74) + : +- CometHashAggregate (73) + : +- CometUnion (72) + : :- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- Union (9) + : : : : :- * Project (4) + : : : : : +- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- * Project (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : : +- ReusedExchange (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : :- CometHashAggregate (44) + : : +- CometColumnarExchange (43) + : : +- * HashAggregate (42) + : : +- * Project (41) + : : +- * BroadcastHashJoin Inner BuildRight (40) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- Union (31) + : : : : :- * Project (26) + : : : : : +- * Filter (25) + : : : : : +- * ColumnarToRow (24) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : : +- * Project (30) + : : : : +- * Filter (29) + : : : : +- * ColumnarToRow (28) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : : +- ReusedExchange (32) + : : +- BroadcastExchange (39) + : : +- * CometColumnarToRow (38) + : : +- CometProject (37) + : : +- CometFilter (36) + : : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + : +- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- Union (58) + : : : :- * Project (48) + : : : : +- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- * Project (57) + : : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : : :- BroadcastExchange (51) + : : : : +- * ColumnarToRow (50) + : : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : : +- * CometColumnarToRow (55) + : : : +- CometProject (54) + : : : +- CometFilter (53) + : : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : : +- ReusedExchange (59) + : +- BroadcastExchange (66) + : +- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometFilter (63) + : +- CometNativeScan parquet spark_catalog.default.web_site (62) + :- CometHashAggregate (80) + : +- CometExchange (79) + : +- CometHashAggregate (78) + : +- CometHashAggregate (77) + : +- ReusedExchange (76) + +- CometHashAggregate (85) + +- CometExchange (84) + +- CometHashAggregate (83) + +- CometHashAggregate (82) + +- ReusedExchange (81) (1) Scan parquet spark_catalog.default.store_sales @@ -140,7 +132,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 104] +(10) ReusedExchange [Reuses operator id: 96] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -196,407 +188,365 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [store channel AS channel#38, concat(store, s_store_id#25) AS id#39, MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#40, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#41, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#65, 16, true, false, true) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, cp_catalog_page_id#56, 16, true, false, true) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [catalog channel AS channel#79, concat(catalog_page, cp_catalog_page_id#66) AS id#80, MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#81, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#82, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#111, 16, true, false, true) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, web_site_id#93, 16, true, false, true) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [web channel AS channel#125, concat(web_site, web_site_id#112) AS id#126, MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#127, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#128, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#129] - -(75) Union - -(76) HashAggregate [codegen id : 20] -Input [5]: [channel#38, id#39, sales#40, returns#41, profit#42] -Keys [2]: [channel#38, id#39] -Functions [3]: [partial_sum(sales#40), partial_sum(returns#41), partial_sum(profit#42)] -Aggregate Attributes [6]: [sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135] -Results [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(77) CometColumnarExchange -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Arguments: hashpartitioning(channel#38, id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(78) CometColumnarToRow [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(79) HashAggregate [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [5]: [channel#38, id#39, cast(sum(sales#40)#142 as decimal(37,2)) AS sales#145, cast(sum(returns#41)#143 as decimal(37,2)) AS returns#146, cast(sum(profit#42)#144 as decimal(38,2)) AS profit#147] - -(80) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(81) CometColumnarToRow [codegen id : 42] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(82) HashAggregate [codegen id : 42] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [4]: [channel#38, sum(sales#40)#142 AS sales#148, sum(returns#41)#143 AS returns#149, sum(profit#42)#144 AS profit#150] - -(83) HashAggregate [codegen id : 42] -Input [4]: [channel#38, sales#148, returns#149, profit#150] -Keys [1]: [channel#38] -Functions [3]: [partial_sum(sales#148), partial_sum(returns#149), partial_sum(profit#150)] -Aggregate Attributes [6]: [sum#151, isEmpty#152, sum#153, isEmpty#154, sum#155, isEmpty#156] -Results [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] - -(84) CometColumnarExchange -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] -Arguments: hashpartitioning(channel#38, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(85) CometColumnarToRow [codegen id : 43] -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] - -(86) HashAggregate [codegen id : 43] -Input [7]: [channel#38, sum#157, isEmpty#158, sum#159, isEmpty#160, sum#161, isEmpty#162] -Keys [1]: [channel#38] -Functions [3]: [sum(sales#148), sum(returns#149), sum(profit#150)] -Aggregate Attributes [3]: [sum(sales#148)#163, sum(returns#149)#164, sum(profit#150)#165] -Results [5]: [channel#38, null AS id#166, sum(sales#148)#163 AS sum(sales)#167, sum(returns#149)#164 AS sum(returns)#168, sum(profit#150)#165 AS sum(profit)#169] - -(87) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(88) CometColumnarToRow [codegen id : 64] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(89) HashAggregate [codegen id : 64] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [3]: [sum(sales#40)#142 AS sales#170, sum(returns#41)#143 AS returns#171, sum(profit#42)#144 AS profit#172] - -(90) HashAggregate [codegen id : 64] -Input [3]: [sales#170, returns#171, profit#172] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Child 1 Input [5]: [channel#108, id#109, sales#110, returns#111, profit#112] +Child 2 Input [5]: [channel#113, id#114, sales#115, returns#116, profit#117] + +(73) CometHashAggregate +Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Keys [2]: [channel#103, id#104] +Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] + +(74) CometExchange +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Arguments: hashpartitioning(channel#103, id#104, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(75) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(76) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] + +(77) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(78) CometHashAggregate +Input [4]: [channel#103, sales#124, returns#125, profit#126] +Keys [1]: [channel#103] +Functions [3]: [partial_sum(sales#124), partial_sum(returns#125), partial_sum(profit#126)] + +(79) CometExchange +Input [7]: [channel#103, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132] +Arguments: hashpartitioning(channel#103, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(80) CometHashAggregate +Input [7]: [channel#103, sum#127, isEmpty#128, sum#129, isEmpty#130, sum#131, isEmpty#132] +Keys [1]: [channel#103] +Functions [3]: [sum(sales#124), sum(returns#125), sum(profit#126)] + +(81) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] + +(82) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(83) CometHashAggregate +Input [3]: [sales#133, returns#134, profit#135] Keys: [] -Functions [3]: [partial_sum(sales#170), partial_sum(returns#171), partial_sum(profit#172)] -Aggregate Attributes [6]: [sum#173, isEmpty#174, sum#175, isEmpty#176, sum#177, isEmpty#178] -Results [6]: [sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184] - -(91) CometColumnarExchange -Input [6]: [sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#133), partial_sum(returns#134), partial_sum(profit#135)] -(92) CometColumnarToRow [codegen id : 65] -Input [6]: [sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184] +(84) CometExchange +Input [6]: [sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(93) HashAggregate [codegen id : 65] -Input [6]: [sum#179, isEmpty#180, sum#181, isEmpty#182, sum#183, isEmpty#184] +(85) CometHashAggregate +Input [6]: [sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] Keys: [] -Functions [3]: [sum(sales#170), sum(returns#171), sum(profit#172)] -Aggregate Attributes [3]: [sum(sales#170)#185, sum(returns#171)#186, sum(profit#172)#187] -Results [5]: [null AS channel#188, null AS id#189, sum(sales#170)#185 AS sum(sales)#190, sum(returns#171)#186 AS sum(returns)#191, sum(profit#172)#187 AS sum(profit)#192] +Functions [3]: [sum(sales#133), sum(returns#134), sum(profit#135)] -(94) Union +(86) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] +Child 1 Input [5]: [channel#103, id#145, sum(sales)#146, sum(returns)#147, sum(profit)#148] +Child 2 Input [5]: [channel#149, id#150, sum(sales)#151, sum(returns)#152, sum(profit)#153] -(95) HashAggregate [codegen id : 66] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(87) CometHashAggregate +Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] +Keys [5]: [channel#103, id#104, sales#142, returns#143, profit#144] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -(96) CometColumnarExchange -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: hashpartitioning(channel#38, id#39, sales#145, returns#146, profit#147, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(88) CometExchange +Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] +Arguments: hashpartitioning(channel#103, id#104, sales#142, returns#143, profit#144, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(97) CometHashAggregate -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(89) CometHashAggregate +Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] +Keys [5]: [channel#103, id#104, sales#142, returns#143, profit#144] Functions: [] -(98) CometTakeOrderedAndProject -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#38 ASC NULLS FIRST,id#39 ASC NULLS FIRST], output=[channel#38,id#39,sales#145,returns#146,profit#147]), [channel#38, id#39, sales#145, returns#146, profit#147], 100, 0, [channel#38 ASC NULLS FIRST, id#39 ASC NULLS FIRST], [channel#38, id#39, sales#145, returns#146, profit#147] +(90) CometTakeOrderedAndProject +Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#103 ASC NULLS FIRST,id#104 ASC NULLS FIRST], output=[channel#103,id#104,sales#142,returns#143,profit#144]), [channel#103, id#104, sales#142, returns#143, profit#144], 100, 0, [channel#103 ASC NULLS FIRST, id#104 ASC NULLS FIRST], [channel#103, id#104, sales#142, returns#143, profit#144] -(99) CometColumnarToRow [codegen id : 67] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(91) CometColumnarToRow [codegen id : 49] +Input [5]: [channel#103, id#104, sales#142, returns#143, profit#144] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +BroadcastExchange (96) ++- * CometColumnarToRow (95) + +- CometProject (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#193] +(92) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#154] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-08-18), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#22, d_date#193] -Condition : (((isnotnull(d_date#193) AND (d_date#193 >= 1998-08-04)) AND (d_date#193 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) +(93) CometFilter +Input [2]: [d_date_sk#22, d_date#154] +Condition : (((isnotnull(d_date#154) AND (d_date#154 >= 1998-08-04)) AND (d_date#154 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) -(102) CometProject -Input [2]: [d_date_sk#22, d_date#193] +(94) CometProject +Input [2]: [d_date_sk#22, d_date#154] Arguments: [d_date_sk#22], [d_date_sk#22] -(103) CometColumnarToRow [codegen id : 1] +(95) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(104) BroadcastExchange +(96) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/extended.txt index 63ea8e5ea8..d68ed89364 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/extended.txt @@ -1,322 +1,308 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 89 out of 263 eligible operators (33%). Final plan contains 57 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 113 out of 263 eligible operators (42%). Final plan contains 43 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/simplified.txt index dc9c9b1ce7..232b0a1fb3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q5a.native_datafusion/simplified.txt @@ -1,167 +1,139 @@ -WholeStageCodegen (67) +WholeStageCodegen (49) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (66) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (21) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (20) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #3 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (4) + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id] #2 + CometHashAggregate [sales,returns,profit] [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,s_store_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [s_store_id] #3 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (4) CometColumnarToRow InputAdapter - CometColumnarExchange [cp_catalog_page_id] #6 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,cp_catalog_page_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [cp_catalog_page_id] #6 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (9) CometColumnarToRow InputAdapter - CometColumnarExchange [web_site_id] #8 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] - WholeStageCodegen (43) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #11 - WholeStageCodegen (42) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (65) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (64) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,web_site_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [web_site_id] #8 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #11 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange #12 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/explain.txt index a57e1f5e30..ef94a36e1d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#21] Input [2]: [ca_state#3, count#21] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#21] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#21] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#22] -Results [3]: [ca_state#3 AS state#23, count(1)#22 AS cnt#24, ca_state#3] -(39) Filter [codegen id : 5] -Input [3]: [state#23, cnt#24, ca_state#3] -Condition : (cnt#24 >= 10) +(38) CometFilter +Input [3]: [state#22, cnt#23, ca_state#3] +Condition : (cnt#23 >= 10) + +(39) CometTakeOrderedAndProject +Input [3]: [state#22, cnt#23, ca_state#3] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#23 ASC NULLS FIRST,ca_state#3 ASC NULLS FIRST], output=[state#22,cnt#23]), [state#22, cnt#23], 100, 0, [cnt#23 ASC NULLS FIRST, ca_state#3 ASC NULLS FIRST], [state#22, cnt#23] -(40) TakeOrderedAndProject -Input [3]: [state#23, cnt#24, ca_state#3] -Arguments: 100, [cnt#24 ASC NULLS FIRST, ca_state#3 ASC NULLS FIRST], [state#23, cnt#24] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#22, cnt#23] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#25] +Output [2]: [d_date_sk#10, d_month_seq#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#25] -Condition : ((isnotnull(d_month_seq#25) AND (d_month_seq#25 = Subquery scalar-subquery#26, [id=#27])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#24] +Condition : ((isnotnull(d_month_seq#24) AND (d_month_seq#24 = Subquery scalar-subquery#25, [id=#26])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#25] +Input [2]: [d_date_sk#10, d_month_seq#24] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,7 +257,7 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#26, [id=#27] +Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquery#25, [id=#26] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -270,35 +268,35 @@ Subquery:2 Hosting operator id = 42 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#28, d_year#29, d_moy#30] +Output [3]: [d_month_seq#27, d_year#28, d_moy#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Condition : (((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2000)) AND (d_moy#30 = 1)) +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Condition : (((isnotnull(d_year#28) AND isnotnull(d_moy#29)) AND (d_year#28 = 2000)) AND (d_moy#29 = 1)) (48) CometProject -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Arguments: [d_month_seq#28], [d_month_seq#28] +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Arguments: [d_month_seq#27], [d_month_seq#27] (49) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#28] -Arguments: hashpartitioning(d_month_seq#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#27] +Arguments: hashpartitioning(d_month_seq#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/extended.txt index fe3b28849a..6e247abdbb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -65,4 +65,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 58 eligible operators (67%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 58 eligible operators (72%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/simplified.txt index 76dd43f9c7..003509d6c6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,ca_state,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state] [state,cnt] + CometFilter [state,cnt,ca_state] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/explain.txt index 1436e02064..0364c0714b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/explain.txt @@ -1,94 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (90) -+- * Filter (89) - +- Window (88) - +- WindowGroupLimit (87) - +- * CometColumnarToRow (86) - +- CometSort (85) - +- CometColumnarExchange (84) - +- WindowGroupLimit (83) - +- * Sort (82) - +- Union (81) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.item (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - :- * HashAggregate (38) - : +- * CometColumnarToRow (37) - : +- CometColumnarExchange (36) - : +- * HashAggregate (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- ReusedExchange (39) - :- * HashAggregate (52) - : +- * CometColumnarToRow (51) - : +- CometColumnarExchange (50) - : +- * HashAggregate (49) - : +- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- ReusedExchange (46) - :- * HashAggregate (59) - : +- * CometColumnarToRow (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- ReusedExchange (53) - :- * HashAggregate (66) - : +- * CometColumnarToRow (65) - : +- CometColumnarExchange (64) - : +- * HashAggregate (63) - : +- * HashAggregate (62) - : +- * CometColumnarToRow (61) - : +- ReusedExchange (60) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- ReusedExchange (67) - +- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- ReusedExchange (74) +TakeOrderedAndProject (74) ++- * Filter (73) + +- Window (72) + +- WindowGroupLimit (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometColumnarExchange (68) + +- WindowGroupLimit (67) + +- * CometColumnarToRow (66) + +- CometSort (65) + +- CometUnion (64) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.item (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + :- CometHashAggregate (33) + : +- CometExchange (32) + : +- CometHashAggregate (31) + : +- CometHashAggregate (30) + : +- ReusedExchange (29) + :- CometHashAggregate (38) + : +- CometExchange (37) + : +- CometHashAggregate (36) + : +- CometHashAggregate (35) + : +- ReusedExchange (34) + :- CometHashAggregate (43) + : +- CometExchange (42) + : +- CometHashAggregate (41) + : +- CometHashAggregate (40) + : +- ReusedExchange (39) + :- CometHashAggregate (48) + : +- CometExchange (47) + : +- CometHashAggregate (46) + : +- CometHashAggregate (45) + : +- ReusedExchange (44) + :- CometHashAggregate (53) + : +- CometExchange (52) + : +- CometHashAggregate (51) + : +- CometHashAggregate (50) + : +- ReusedExchange (49) + :- CometHashAggregate (58) + : +- CometExchange (57) + : +- CometHashAggregate (56) + : +- CometHashAggregate (55) + : +- ReusedExchange (54) + +- CometHashAggregate (63) + +- CometExchange (62) + +- CometHashAggregate (61) + +- CometHashAggregate (60) + +- ReusedExchange (59) (1) Scan parquet spark_catalog.default.store_sales @@ -106,7 +90,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sol Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 95] +(4) ReusedExchange [Reuses operator id: 79] Output [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (5) BroadcastHashJoin [codegen id : 4] @@ -194,354 +178,265 @@ Results [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year# Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27] -Results [9]: [i_category#21 AS i_category#28, i_class#20 AS i_class#29, i_brand#19 AS i_brand#30, i_product_name#22 AS i_product_name#31, d_year#8 AS d_year#32, d_qoy#10 AS d_qoy#33, d_moy#9 AS d_moy#34, s_store_id#13 AS s_store_id#35, cast(sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27 as decimal(38,2)) AS sumsales#36] -(25) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] +(24) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13, sum#30, isEmpty#31] -(26) CometColumnarToRow [codegen id : 10] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] +(25) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13, sum#30, isEmpty#31] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#32 * cast(ss_quantity#33 as decimal(10,0))), 0.00))] + +(26) CometHashAggregate +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sumsales#34] +Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29] +Functions [1]: [partial_sum(sumsales#34)] + +(27) CometExchange +Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sum#35, isEmpty#36] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(28) CometHashAggregate +Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, sum#35, isEmpty#36] +Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29] +Functions [1]: [sum(sumsales#34)] -(27) HashAggregate [codegen id : 10] +(29) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] + +(30) CometHashAggregate Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13, sum#40, isEmpty#41] Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, s_store_id#13] Functions [1]: [sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))#27] -Results [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum(coalesce((ss_sales_price#42 * cast(ss_quantity#43 as decimal(10,0))), 0.00))#27 AS sumsales#44] -(28) HashAggregate [codegen id : 10] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sumsales#44] -Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39] +(31) CometHashAggregate +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sumsales#44] +Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38] Functions [1]: [partial_sum(sumsales#44)] -Aggregate Attributes [2]: [sum#45, isEmpty#46] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] -(29) CometColumnarExchange -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(32) CometExchange +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sum#45, isEmpty#46] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometColumnarToRow [codegen id : 11] -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] - -(31) HashAggregate [codegen id : 11] -Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, sum#47, isEmpty#48] -Keys [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39] +(33) CometHashAggregate +Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, sum#45, isEmpty#46] +Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38] Functions [1]: [sum(sumsales#44)] -Aggregate Attributes [1]: [sum(sumsales#44)#49] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#39, null AS s_store_id#50, sum(sumsales#44)#49 AS sumsales#51] - -(32) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] - -(33) CometColumnarToRow [codegen id : 16] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] - -(34) HashAggregate [codegen id : 16] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13, sum#55, isEmpty#56] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, d_moy#54, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))#27] -Results [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum(coalesce((ss_sales_price#57 * cast(ss_quantity#58 as decimal(10,0))), 0.00))#27 AS sumsales#59] - -(35) HashAggregate [codegen id : 16] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sumsales#59] -Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53] -Functions [1]: [partial_sum(sumsales#59)] -Aggregate Attributes [2]: [sum#60, isEmpty#61] -Results [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#62, isEmpty#63] - -(36) CometColumnarExchange -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#62, isEmpty#63] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(37) CometColumnarToRow [codegen id : 17] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#62, isEmpty#63] - -(38) HashAggregate [codegen id : 17] -Input [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, sum#62, isEmpty#63] -Keys [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53] -Functions [1]: [sum(sumsales#59)] -Aggregate Attributes [1]: [sum(sumsales#59)#64] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#52, d_qoy#53, null AS d_moy#65, null AS s_store_id#66, sum(sumsales#59)#64 AS sumsales#67] -(39) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, d_qoy#69, d_moy#70, s_store_id#13, sum#71, isEmpty#72] - -(40) CometColumnarToRow [codegen id : 22] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, d_qoy#69, d_moy#70, s_store_id#13, sum#71, isEmpty#72] - -(41) HashAggregate [codegen id : 22] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, d_qoy#69, d_moy#70, s_store_id#13, sum#71, isEmpty#72] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, d_qoy#69, d_moy#70, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#73 * cast(ss_quantity#74 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#73 * cast(ss_quantity#74 as decimal(10,0))), 0.00))#27] -Results [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sum(coalesce((ss_sales_price#73 * cast(ss_quantity#74 as decimal(10,0))), 0.00))#27 AS sumsales#75] - -(42) HashAggregate [codegen id : 22] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sumsales#75] -Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68] -Functions [1]: [partial_sum(sumsales#75)] -Aggregate Attributes [2]: [sum#76, isEmpty#77] -Results [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sum#78, isEmpty#79] - -(43) CometColumnarExchange -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sum#78, isEmpty#79] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(44) CometColumnarToRow [codegen id : 23] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sum#78, isEmpty#79] - -(45) HashAggregate [codegen id : 23] -Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, sum#78, isEmpty#79] -Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68] -Functions [1]: [sum(sumsales#75)] -Aggregate Attributes [1]: [sum(sumsales#75)#80] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#68, null AS d_qoy#81, null AS d_moy#82, null AS s_store_id#83, sum(sumsales#75)#80 AS sumsales#84] - -(46) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#85, d_qoy#86, d_moy#87, s_store_id#13, sum#88, isEmpty#89] - -(47) CometColumnarToRow [codegen id : 28] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#85, d_qoy#86, d_moy#87, s_store_id#13, sum#88, isEmpty#89] - -(48) HashAggregate [codegen id : 28] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#85, d_qoy#86, d_moy#87, s_store_id#13, sum#88, isEmpty#89] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#85, d_qoy#86, d_moy#87, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#90 * cast(ss_quantity#91 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#90 * cast(ss_quantity#91 as decimal(10,0))), 0.00))#27] -Results [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum(coalesce((ss_sales_price#90 * cast(ss_quantity#91 as decimal(10,0))), 0.00))#27 AS sumsales#92] - -(49) HashAggregate [codegen id : 28] -Input [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sumsales#92] -Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] -Functions [1]: [partial_sum(sumsales#92)] -Aggregate Attributes [2]: [sum#93, isEmpty#94] -Results [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#95, isEmpty#96] +(34) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, d_qoy#48, d_moy#49, s_store_id#13, sum#50, isEmpty#51] -(50) CometColumnarExchange -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#95, isEmpty#96] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(35) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, d_qoy#48, d_moy#49, s_store_id#13, sum#50, isEmpty#51] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, d_qoy#48, d_moy#49, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#52 * cast(ss_quantity#53 as decimal(10,0))), 0.00))] -(51) CometColumnarToRow [codegen id : 29] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#95, isEmpty#96] +(36) CometHashAggregate +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, sumsales#54] +Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47] +Functions [1]: [partial_sum(sumsales#54)] -(52) HashAggregate [codegen id : 29] -Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#95, isEmpty#96] -Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] -Functions [1]: [sum(sumsales#92)] -Aggregate Attributes [1]: [sum(sumsales#92)#97] -Results [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, null AS d_year#98, null AS d_qoy#99, null AS d_moy#100, null AS s_store_id#101, sum(sumsales#92)#97 AS sumsales#102] +(37) CometExchange +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, sum#55, isEmpty#56] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(53) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#103, d_qoy#104, d_moy#105, s_store_id#13, sum#106, isEmpty#107] +(38) CometHashAggregate +Input [7]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, sum#55, isEmpty#56] +Keys [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47] +Functions [1]: [sum(sumsales#54)] -(54) CometColumnarToRow [codegen id : 34] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#103, d_qoy#104, d_moy#105, s_store_id#13, sum#106, isEmpty#107] +(39) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#57, d_qoy#58, d_moy#59, s_store_id#13, sum#60, isEmpty#61] -(55) HashAggregate [codegen id : 34] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#103, d_qoy#104, d_moy#105, s_store_id#13, sum#106, isEmpty#107] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#103, d_qoy#104, d_moy#105, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#108 * cast(ss_quantity#109 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#108 * cast(ss_quantity#109 as decimal(10,0))), 0.00))#27] -Results [4]: [i_category#21, i_class#20, i_brand#19, sum(coalesce((ss_sales_price#108 * cast(ss_quantity#109 as decimal(10,0))), 0.00))#27 AS sumsales#110] +(40) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#57, d_qoy#58, d_moy#59, s_store_id#13, sum#60, isEmpty#61] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#57, d_qoy#58, d_moy#59, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#62 * cast(ss_quantity#63 as decimal(10,0))), 0.00))] -(56) HashAggregate [codegen id : 34] -Input [4]: [i_category#21, i_class#20, i_brand#19, sumsales#110] -Keys [3]: [i_category#21, i_class#20, i_brand#19] -Functions [1]: [partial_sum(sumsales#110)] -Aggregate Attributes [2]: [sum#111, isEmpty#112] -Results [5]: [i_category#21, i_class#20, i_brand#19, sum#113, isEmpty#114] +(41) CometHashAggregate +Input [5]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sumsales#64] +Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] +Functions [1]: [partial_sum(sumsales#64)] -(57) CometColumnarExchange -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#113, isEmpty#114] -Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(42) CometExchange +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#65, isEmpty#66] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(58) CometColumnarToRow [codegen id : 35] -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#113, isEmpty#114] +(43) CometHashAggregate +Input [6]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, sum#65, isEmpty#66] +Keys [4]: [i_category#21, i_class#20, i_brand#19, i_product_name#22] +Functions [1]: [sum(sumsales#64)] -(59) HashAggregate [codegen id : 35] -Input [5]: [i_category#21, i_class#20, i_brand#19, sum#113, isEmpty#114] -Keys [3]: [i_category#21, i_class#20, i_brand#19] -Functions [1]: [sum(sumsales#110)] -Aggregate Attributes [1]: [sum(sumsales#110)#115] -Results [9]: [i_category#21, i_class#20, i_brand#19, null AS i_product_name#116, null AS d_year#117, null AS d_qoy#118, null AS d_moy#119, null AS s_store_id#120, sum(sumsales#110)#115 AS sumsales#121] +(44) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13, sum#70, isEmpty#71] -(60) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#122, d_qoy#123, d_moy#124, s_store_id#13, sum#125, isEmpty#126] +(45) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13, sum#70, isEmpty#71] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#67, d_qoy#68, d_moy#69, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#72 * cast(ss_quantity#73 as decimal(10,0))), 0.00))] -(61) CometColumnarToRow [codegen id : 40] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#122, d_qoy#123, d_moy#124, s_store_id#13, sum#125, isEmpty#126] +(46) CometHashAggregate +Input [4]: [i_category#21, i_class#20, i_brand#19, sumsales#74] +Keys [3]: [i_category#21, i_class#20, i_brand#19] +Functions [1]: [partial_sum(sumsales#74)] -(62) HashAggregate [codegen id : 40] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#122, d_qoy#123, d_moy#124, s_store_id#13, sum#125, isEmpty#126] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#122, d_qoy#123, d_moy#124, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#127 * cast(ss_quantity#128 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#127 * cast(ss_quantity#128 as decimal(10,0))), 0.00))#27] -Results [3]: [i_category#21, i_class#20, sum(coalesce((ss_sales_price#127 * cast(ss_quantity#128 as decimal(10,0))), 0.00))#27 AS sumsales#129] +(47) CometExchange +Input [5]: [i_category#21, i_class#20, i_brand#19, sum#75, isEmpty#76] +Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(63) HashAggregate [codegen id : 40] -Input [3]: [i_category#21, i_class#20, sumsales#129] -Keys [2]: [i_category#21, i_class#20] -Functions [1]: [partial_sum(sumsales#129)] -Aggregate Attributes [2]: [sum#130, isEmpty#131] -Results [4]: [i_category#21, i_class#20, sum#132, isEmpty#133] +(48) CometHashAggregate +Input [5]: [i_category#21, i_class#20, i_brand#19, sum#75, isEmpty#76] +Keys [3]: [i_category#21, i_class#20, i_brand#19] +Functions [1]: [sum(sumsales#74)] -(64) CometColumnarExchange -Input [4]: [i_category#21, i_class#20, sum#132, isEmpty#133] -Arguments: hashpartitioning(i_category#21, i_class#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(49) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#77, d_qoy#78, d_moy#79, s_store_id#13, sum#80, isEmpty#81] -(65) CometColumnarToRow [codegen id : 41] -Input [4]: [i_category#21, i_class#20, sum#132, isEmpty#133] +(50) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#77, d_qoy#78, d_moy#79, s_store_id#13, sum#80, isEmpty#81] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#77, d_qoy#78, d_moy#79, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#82 * cast(ss_quantity#83 as decimal(10,0))), 0.00))] -(66) HashAggregate [codegen id : 41] -Input [4]: [i_category#21, i_class#20, sum#132, isEmpty#133] +(51) CometHashAggregate +Input [3]: [i_category#21, i_class#20, sumsales#84] Keys [2]: [i_category#21, i_class#20] -Functions [1]: [sum(sumsales#129)] -Aggregate Attributes [1]: [sum(sumsales#129)#134] -Results [9]: [i_category#21, i_class#20, null AS i_brand#135, null AS i_product_name#136, null AS d_year#137, null AS d_qoy#138, null AS d_moy#139, null AS s_store_id#140, sum(sumsales#129)#134 AS sumsales#141] +Functions [1]: [partial_sum(sumsales#84)] -(67) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#142, d_qoy#143, d_moy#144, s_store_id#13, sum#145, isEmpty#146] +(52) CometExchange +Input [4]: [i_category#21, i_class#20, sum#85, isEmpty#86] +Arguments: hashpartitioning(i_category#21, i_class#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(68) CometColumnarToRow [codegen id : 46] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#142, d_qoy#143, d_moy#144, s_store_id#13, sum#145, isEmpty#146] +(53) CometHashAggregate +Input [4]: [i_category#21, i_class#20, sum#85, isEmpty#86] +Keys [2]: [i_category#21, i_class#20] +Functions [1]: [sum(sumsales#84)] -(69) HashAggregate [codegen id : 46] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#142, d_qoy#143, d_moy#144, s_store_id#13, sum#145, isEmpty#146] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#142, d_qoy#143, d_moy#144, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#147 * cast(ss_quantity#148 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#147 * cast(ss_quantity#148 as decimal(10,0))), 0.00))#27] -Results [2]: [i_category#21, sum(coalesce((ss_sales_price#147 * cast(ss_quantity#148 as decimal(10,0))), 0.00))#27 AS sumsales#149] +(54) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#87, d_qoy#88, d_moy#89, s_store_id#13, sum#90, isEmpty#91] -(70) HashAggregate [codegen id : 46] -Input [2]: [i_category#21, sumsales#149] -Keys [1]: [i_category#21] -Functions [1]: [partial_sum(sumsales#149)] -Aggregate Attributes [2]: [sum#150, isEmpty#151] -Results [3]: [i_category#21, sum#152, isEmpty#153] +(55) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#87, d_qoy#88, d_moy#89, s_store_id#13, sum#90, isEmpty#91] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#87, d_qoy#88, d_moy#89, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#92 * cast(ss_quantity#93 as decimal(10,0))), 0.00))] -(71) CometColumnarExchange -Input [3]: [i_category#21, sum#152, isEmpty#153] -Arguments: hashpartitioning(i_category#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(56) CometHashAggregate +Input [2]: [i_category#21, sumsales#94] +Keys [1]: [i_category#21] +Functions [1]: [partial_sum(sumsales#94)] -(72) CometColumnarToRow [codegen id : 47] -Input [3]: [i_category#21, sum#152, isEmpty#153] +(57) CometExchange +Input [3]: [i_category#21, sum#95, isEmpty#96] +Arguments: hashpartitioning(i_category#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(73) HashAggregate [codegen id : 47] -Input [3]: [i_category#21, sum#152, isEmpty#153] +(58) CometHashAggregate +Input [3]: [i_category#21, sum#95, isEmpty#96] Keys [1]: [i_category#21] -Functions [1]: [sum(sumsales#149)] -Aggregate Attributes [1]: [sum(sumsales#149)#154] -Results [9]: [i_category#21, null AS i_class#155, null AS i_brand#156, null AS i_product_name#157, null AS d_year#158, null AS d_qoy#159, null AS d_moy#160, null AS s_store_id#161, sum(sumsales#149)#154 AS sumsales#162] +Functions [1]: [sum(sumsales#94)] -(74) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#163, d_qoy#164, d_moy#165, s_store_id#13, sum#166, isEmpty#167] +(59) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#97, d_qoy#98, d_moy#99, s_store_id#13, sum#100, isEmpty#101] -(75) CometColumnarToRow [codegen id : 52] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#163, d_qoy#164, d_moy#165, s_store_id#13, sum#166, isEmpty#167] +(60) CometHashAggregate +Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#97, d_qoy#98, d_moy#99, s_store_id#13, sum#100, isEmpty#101] +Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#97, d_qoy#98, d_moy#99, s_store_id#13] +Functions [1]: [sum(coalesce((ss_sales_price#102 * cast(ss_quantity#103 as decimal(10,0))), 0.00))] -(76) HashAggregate [codegen id : 52] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#163, d_qoy#164, d_moy#165, s_store_id#13, sum#166, isEmpty#167] -Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#163, d_qoy#164, d_moy#165, s_store_id#13] -Functions [1]: [sum(coalesce((ss_sales_price#168 * cast(ss_quantity#169 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#168 * cast(ss_quantity#169 as decimal(10,0))), 0.00))#27] -Results [1]: [sum(coalesce((ss_sales_price#168 * cast(ss_quantity#169 as decimal(10,0))), 0.00))#27 AS sumsales#170] - -(77) HashAggregate [codegen id : 52] -Input [1]: [sumsales#170] +(61) CometHashAggregate +Input [1]: [sumsales#104] Keys: [] -Functions [1]: [partial_sum(sumsales#170)] -Aggregate Attributes [2]: [sum#171, isEmpty#172] -Results [2]: [sum#173, isEmpty#174] - -(78) CometColumnarExchange -Input [2]: [sum#173, isEmpty#174] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +Functions [1]: [partial_sum(sumsales#104)] -(79) CometColumnarToRow [codegen id : 53] -Input [2]: [sum#173, isEmpty#174] +(62) CometExchange +Input [2]: [sum#105, isEmpty#106] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(80) HashAggregate [codegen id : 53] -Input [2]: [sum#173, isEmpty#174] +(63) CometHashAggregate +Input [2]: [sum#105, isEmpty#106] Keys: [] -Functions [1]: [sum(sumsales#170)] -Aggregate Attributes [1]: [sum(sumsales#170)#175] -Results [9]: [null AS i_category#176, null AS i_class#177, null AS i_brand#178, null AS i_product_name#179, null AS d_year#180, null AS d_qoy#181, null AS d_moy#182, null AS s_store_id#183, sum(sumsales#170)#175 AS sumsales#184] +Functions [1]: [sum(sumsales#104)] + +(64) CometUnion +Child 0 Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Child 1 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#27, d_qoy#28, d_moy#29, s_store_id#116, sumsales#117] +Child 2 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#37, d_qoy#38, d_moy#118, s_store_id#119, sumsales#120] +Child 3 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#47, d_qoy#121, d_moy#122, s_store_id#123, sumsales#124] +Child 4 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#125, d_qoy#126, d_moy#127, s_store_id#128, sumsales#129] +Child 5 Input [9]: [i_category#21, i_class#20, i_brand#19, i_product_name#130, d_year#131, d_qoy#132, d_moy#133, s_store_id#134, sumsales#135] +Child 6 Input [9]: [i_category#21, i_class#20, i_brand#136, i_product_name#137, d_year#138, d_qoy#139, d_moy#140, s_store_id#141, sumsales#142] +Child 7 Input [9]: [i_category#21, i_class#143, i_brand#144, i_product_name#145, d_year#146, d_qoy#147, d_moy#148, s_store_id#149, sumsales#150] +Child 8 Input [9]: [i_category#151, i_class#152, i_brand#153, i_product_name#154, d_year#155, d_qoy#156, d_moy#157, s_store_id#158, sumsales#159] -(81) Union +(65) CometSort +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115], [i_category#107 ASC NULLS FIRST, sumsales#115 DESC NULLS LAST] -(82) Sort [codegen id : 54] -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST], false, 0 +(66) CometColumnarToRow [codegen id : 37] +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] -(83) WindowGroupLimit -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Partial +(67) WindowGroupLimit +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: [i_category#107], [sumsales#115 DESC NULLS LAST], rank(sumsales#115), 100, Partial -(84) CometColumnarExchange -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: hashpartitioning(i_category#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(68) CometColumnarExchange +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: hashpartitioning(i_category#107, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] -(85) CometSort -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36], [i_category#28 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] +(69) CometSort +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115], [i_category#107 ASC NULLS FIRST, sumsales#115 DESC NULLS LAST] -(86) CometColumnarToRow [codegen id : 55] -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] +(70) CometColumnarToRow [codegen id : 38] +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] -(87) WindowGroupLimit -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Final +(71) WindowGroupLimit +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: [i_category#107], [sumsales#115 DESC NULLS LAST], rank(sumsales#115), 100, Final -(88) Window -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [rank(sumsales#36) windowspecdefinition(i_category#28, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#185], [i_category#28], [sumsales#36 DESC NULLS LAST] +(72) Window +Input [9]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115] +Arguments: [rank(sumsales#115) windowspecdefinition(i_category#107, sumsales#115 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#160], [i_category#107], [sumsales#115 DESC NULLS LAST] -(89) Filter [codegen id : 56] -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#185] -Condition : (rk#185 <= 100) +(73) Filter [codegen id : 39] +Input [10]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115, rk#160] +Condition : (rk#160 <= 100) -(90) TakeOrderedAndProject -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#185] -Arguments: 100, [i_category#28 ASC NULLS FIRST, i_class#29 ASC NULLS FIRST, i_brand#30 ASC NULLS FIRST, i_product_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_qoy#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, s_store_id#35 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#185 ASC NULLS FIRST], [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#185] +(74) TakeOrderedAndProject +Input [10]: [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115, rk#160] +Arguments: 100, [i_category#107 ASC NULLS FIRST, i_class#108 ASC NULLS FIRST, i_brand#109 ASC NULLS FIRST, i_product_name#110 ASC NULLS FIRST, d_year#111 ASC NULLS FIRST, d_qoy#112 ASC NULLS FIRST, d_moy#113 ASC NULLS FIRST, s_store_id#114 ASC NULLS FIRST, sumsales#115 ASC NULLS FIRST, rk#160 ASC NULLS FIRST], [i_category#107, i_class#108, i_brand#109, i_product_name#110, d_year#111, d_qoy#112, d_moy#113, s_store_id#114, sumsales#115, rk#160] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (95) -+- * CometColumnarToRow (94) - +- CometProject (93) - +- CometFilter (92) - +- CometNativeScan parquet spark_catalog.default.date_dim (91) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometNativeScan parquet spark_catalog.default.date_dim (75) -(91) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#186, d_year#8, d_moy#9, d_qoy#10] +(75) CometNativeScan parquet spark_catalog.default.date_dim +Output [5]: [d_date_sk#7, d_month_seq#161, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(92) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#186, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#186) AND (d_month_seq#186 >= 1212)) AND (d_month_seq#186 <= 1223)) AND isnotnull(d_date_sk#7)) +(76) CometFilter +Input [5]: [d_date_sk#7, d_month_seq#161, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#161) AND (d_month_seq#161 >= 1212)) AND (d_month_seq#161 <= 1223)) AND isnotnull(d_date_sk#7)) -(93) CometProject -Input [5]: [d_date_sk#7, d_month_seq#186, d_year#8, d_moy#9, d_qoy#10] +(77) CometProject +Input [5]: [d_date_sk#7, d_month_seq#161, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(94) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(95) BroadcastExchange +(79) BroadcastExchange Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/extended.txt index 0d338d5831..bc2e867033 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/extended.txt @@ -5,346 +5,330 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometSort +- CometColumnarExchange - +- WindowGroupLimit - +- Sort - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 127 out of 285 eligible operators (44%). Final plan contains 63 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 154 out of 285 eligible operators (54%). Final plan contains 47 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/simplified.txt index 38fa0be072..7507214004 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q67a.native_datafusion/simplified.txt @@ -1,147 +1,97 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,rk] - WholeStageCodegen (56) + WholeStageCodegen (39) Filter [rk] InputAdapter Window [sumsales,i_category] WindowGroupLimit [i_category,sumsales] - WholeStageCodegen (55) + WholeStageCodegen (38) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] CometColumnarExchange [i_category] #1 WindowGroupLimit [i_category,sumsales] - WholeStageCodegen (54) - Sort [i_category,sumsales] + WholeStageCodegen (37) + CometColumnarToRow InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_year,d_moy,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometUnion [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_year,d_moy,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) + BroadcastExchange #4 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] - WholeStageCodegen (11) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] [sum(sumsales),s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 - WholeStageCodegen (10) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (17) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] [sum(sumsales),d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 - WholeStageCodegen (16) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (23) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] [sum(sumsales),d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 - WholeStageCodegen (22) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (29) - HashAggregate [i_category,i_class,i_brand,i_product_name,sum,isEmpty] [sum(sumsales),d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name] #9 - WholeStageCodegen (28) - HashAggregate [i_category,i_class,i_brand,i_product_name,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (35) - HashAggregate [i_category,i_class,i_brand,sum,isEmpty] [sum(sumsales),i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand] #10 - WholeStageCodegen (34) - HashAggregate [i_category,i_class,i_brand,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (41) - HashAggregate [i_category,i_class,sum,isEmpty] [sum(sumsales),i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #11 - WholeStageCodegen (40) - HashAggregate [i_category,i_class,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (47) - HashAggregate [i_category,sum,isEmpty] [sum(sumsales),i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #12 - WholeStageCodegen (46) - HashAggregate [i_category,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (53) - HashAggregate [sum,isEmpty] [sum(sumsales),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (52) - HashAggregate [sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] + CometHashAggregate [s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] + CometHashAggregate [d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] + CometHashAggregate [d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name] #9 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,sum,isEmpty] + CometHashAggregate [d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand] #10 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,sum,isEmpty] + CometHashAggregate [i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class] #11 + CometHashAggregate [sumsales] [i_category,i_class,sum,isEmpty] + CometHashAggregate [i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category] #12 + CometHashAggregate [sumsales] [i_category,sum,isEmpty] + CometHashAggregate [i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange #13 + CometHashAggregate [sumsales] [sum,isEmpty] + CometHashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/explain.txt index 603308d760..8df74a49e6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/explain.txt @@ -1,69 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (65) -+- * Project (64) - +- Window (63) - +- * CometColumnarToRow (62) - +- CometSort (61) - +- CometExchange (60) - +- CometHashAggregate (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- Union (56) - :- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- CometColumnarExchange (39) - : +- * HashAggregate (38) - : +- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (35) - : +- * Project (34) - : +- * BroadcastHashJoin LeftSemi BuildRight (33) - : :- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (32) - : +- * Project (31) - : +- * Filter (30) - : +- Window (29) - : +- WindowGroupLimit (28) - : +- * Sort (27) - : +- * HashAggregate (26) - : +- * CometColumnarToRow (25) - : +- CometColumnarExchange (24) - : +- * HashAggregate (23) - : +- * Project (22) - : +- * BroadcastHashJoin Inner BuildRight (21) - : :- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Filter (12) - : : : +- * ColumnarToRow (11) - : : : +- Scan parquet spark_catalog.default.store_sales (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : +- ReusedExchange (20) - :- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- CometColumnarExchange (46) - : +- * HashAggregate (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- ReusedExchange (42) - +- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- * HashAggregate (51) - +- * CometColumnarToRow (50) - +- ReusedExchange (49) +TakeOrderedAndProject (60) ++- * Project (59) + +- Window (58) + +- * CometColumnarToRow (57) + +- CometSort (56) + +- CometExchange (55) + +- CometHashAggregate (54) + +- CometExchange (53) + +- CometHashAggregate (52) + +- CometUnion (51) + :- CometHashAggregate (40) + : +- CometColumnarExchange (39) + : +- * HashAggregate (38) + : +- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (35) + : +- * Project (34) + : +- * BroadcastHashJoin LeftSemi BuildRight (33) + : :- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (32) + : +- * Project (31) + : +- * Filter (30) + : +- Window (29) + : +- WindowGroupLimit (28) + : +- * CometColumnarToRow (27) + : +- CometSort (26) + : +- CometHashAggregate (25) + : +- CometColumnarExchange (24) + : +- * HashAggregate (23) + : +- * Project (22) + : +- * BroadcastHashJoin Inner BuildRight (21) + : :- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Filter (12) + : : : +- * ColumnarToRow (11) + : : : +- Scan parquet spark_catalog.default.store_sales (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : +- ReusedExchange (20) + :- CometHashAggregate (45) + : +- CometExchange (44) + : +- CometHashAggregate (43) + : +- CometHashAggregate (42) + : +- ReusedExchange (41) + +- CometHashAggregate (50) + +- CometExchange (49) + +- CometHashAggregate (48) + +- CometHashAggregate (47) + +- ReusedExchange (46) (1) Scan parquet spark_catalog.default.store_sales @@ -81,7 +76,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 70] +(4) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -155,7 +150,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14] -(20) ReusedExchange [Reuses operator id: 70] +(20) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#15] (21) BroadcastHashJoin [codegen id : 4] @@ -179,35 +174,33 @@ Results [2]: [s_state#14, sum#17] Input [2]: [s_state#14, sum#17] Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#14, sum#17] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#14, sum#17] Keys [1]: [s_state#14] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18] -Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14] -(27) Sort [codegen id : 5] -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14, _w0#18, s_state#14], [s_state#14 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#14, _w0#18, s_state#14] (28) WindowGroupLimit -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14], [_w0#19 DESC NULLS LAST], rank(_w0#19), 5, Final +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14], [_w0#18 DESC NULLS LAST], rank(_w0#18), 5, Final (29) Window -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST] +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [rank(_w0#18) windowspecdefinition(s_state#14, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#14], [_w0#18 DESC NULLS LAST] (30) Filter [codegen id : 6] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] -Condition : (ranking#20 <= 5) +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] +Condition : (ranking#19 <= 5) (31) Project [codegen id : 6] Output [1]: [s_state#14] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] (32) BroadcastExchange Input [1]: [s_state#14] @@ -220,11 +213,11 @@ Join type: LeftSemi Join condition: None (34) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#21] +Output [3]: [s_store_sk#6, s_county#7, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, s_state#8, 2, true, false, true) AS s_state#20] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (35) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#21] +Input [3]: [s_store_sk#6, s_county#7, s_state#20] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (36) BroadcastHashJoin [codegen id : 8] @@ -234,168 +227,140 @@ Join type: Inner Join condition: None (37) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_county#7, s_state#21] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21] +Output [3]: [ss_net_profit#2, s_county#7, s_state#20] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#20] (38) HashAggregate [codegen id : 8] -Input [3]: [ss_net_profit#2, s_county#7, s_state#21] -Keys [2]: [s_state#21, s_county#7] +Input [3]: [ss_net_profit#2, s_county#7, s_state#20] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#22] -Results [3]: [s_state#21, s_county#7, sum#23] +Aggregate Attributes [1]: [sum#21] +Results [3]: [s_state#20, s_county#7, sum#22] (39) CometColumnarExchange -Input [3]: [s_state#21, s_county#7, sum#23] -Arguments: hashpartitioning(s_state#21, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] +Input [3]: [s_state#20, s_county#7, sum#22] +Arguments: hashpartitioning(s_state#20, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) HashAggregate [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] -Keys [2]: [s_state#21, s_county#7] +(40) CometHashAggregate +Input [3]: [s_state#20, s_county#7, sum#22] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#7 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(42) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#31, sum#32] - -(43) CometColumnarToRow [codegen id : 18] -Input [3]: [s_state#21, s_county#31, sum#32] - -(44) HashAggregate [codegen id : 18] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] - -(45) HashAggregate [codegen id : 18] -Input [2]: [total_sum#34, s_state#21] -Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] - -(46) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(47) CometColumnarToRow [codegen id : 19] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(48) HashAggregate [codegen id : 19] -Input [3]: [s_state#21, sum#37, isEmpty#38] -Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(49) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#21, s_county#45, sum#46] - -(50) CometColumnarToRow [codegen id : 28] -Input [3]: [s_state#21, s_county#45, sum#46] - -(51) HashAggregate [codegen id : 28] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#48] - -(52) HashAggregate [codegen id : 28] -Input [1]: [total_sum#48] -Keys: [] -Functions [1]: [partial_sum(total_sum#48)] -Aggregate Attributes [2]: [sum#49, isEmpty#50] -Results [2]: [sum#51, isEmpty#52] -(53) CometColumnarExchange -Input [2]: [sum#51, isEmpty#52] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(41) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#20, s_county#23, sum#24] + +(42) CometHashAggregate +Input [3]: [s_state#20, s_county#23, sum#24] +Keys [2]: [s_state#20, s_county#23] +Functions [1]: [sum(UnscaledValue(ss_net_profit#25))] + +(43) CometHashAggregate +Input [2]: [total_sum#26, s_state#20] +Keys [1]: [s_state#20] +Functions [1]: [partial_sum(total_sum#26)] + +(44) CometExchange +Input [3]: [s_state#20, sum#27, isEmpty#28] +Arguments: hashpartitioning(s_state#20, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(45) CometHashAggregate +Input [3]: [s_state#20, sum#27, isEmpty#28] +Keys [1]: [s_state#20] +Functions [1]: [sum(total_sum#26)] + +(46) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#20, s_county#29, sum#30] + +(47) CometHashAggregate +Input [3]: [s_state#20, s_county#29, sum#30] +Keys [2]: [s_state#20, s_county#29] +Functions [1]: [sum(UnscaledValue(ss_net_profit#31))] + +(48) CometHashAggregate +Input [1]: [total_sum#32] +Keys: [] +Functions [1]: [partial_sum(total_sum#32)] -(54) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#51, isEmpty#52] +(49) CometExchange +Input [2]: [sum#33, isEmpty#34] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(55) HashAggregate [codegen id : 29] -Input [2]: [sum#51, isEmpty#52] +(50) CometHashAggregate +Input [2]: [sum#33, isEmpty#34] Keys: [] -Functions [1]: [sum(total_sum#48)] -Aggregate Attributes [1]: [sum(total_sum#48)#53] -Results [6]: [sum(total_sum#48)#53 AS total_sum#54, null AS s_state#55, null AS s_county#56, 1 AS g_state#57, 1 AS g_county#58, 2 AS lochierarchy#59] +Functions [1]: [sum(total_sum#32)] -(56) Union +(51) CometUnion +Child 0 Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Child 1 Input [6]: [total_sum#41, s_state#20, s_county#42, g_state#43, g_county#44, lochierarchy#45] +Child 2 Input [6]: [total_sum#46, s_state#47, s_county#48, g_state#49, g_county#50, lochierarchy#51] -(57) HashAggregate [codegen id : 30] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(52) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(58) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(53) CometExchange +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Arguments: hashpartitioning(total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(59) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(54) CometHashAggregate +Input [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] +Keys [6]: [total_sum#35, s_state#36, s_county#37, g_state#38, g_county#39, lochierarchy#40] Functions: [] -(60) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: hashpartitioning(lochierarchy#30, _w0#60, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +(55) CometExchange +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: hashpartitioning(lochierarchy#40, _w0#52, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(61) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60], [lochierarchy#30 ASC NULLS FIRST, _w0#60 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(56) CometSort +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52], [lochierarchy#40 ASC NULLS FIRST, _w0#52 ASC NULLS FIRST, total_sum#35 DESC NULLS LAST] -(62) CometColumnarToRow [codegen id : 31] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] +(57) CometColumnarToRow [codegen id : 25] +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] -(63) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#60, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#61], [lochierarchy#30, _w0#60], [total_sum#25 DESC NULLS LAST] +(58) Window +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52] +Arguments: [rank(total_sum#35) windowspecdefinition(lochierarchy#40, _w0#52, total_sum#35 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#53], [lochierarchy#40, _w0#52], [total_sum#35 DESC NULLS LAST] -(64) Project [codegen id : 32] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60, rank_within_parent#61] +(59) Project [codegen id : 26] +Output [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Input [6]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, _w0#52, rank_within_parent#53] -(65) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#61 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] +(60) TakeOrderedAndProject +Input [5]: [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] +Arguments: 100, [lochierarchy#40 DESC NULLS LAST, CASE WHEN (lochierarchy#40 = 0) THEN s_state#36 END ASC NULLS FIRST, rank_within_parent#53 ASC NULLS FIRST], [total_sum#35, s_state#36, s_county#37, lochierarchy#40, rank_within_parent#53] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (70) -+- * CometColumnarToRow (69) - +- CometProject (68) - +- CometFilter (67) - +- CometNativeScan parquet spark_catalog.default.date_dim (66) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometNativeScan parquet spark_catalog.default.date_dim (61) -(66) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#62] +(61) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#54] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(67) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#62] -Condition : (((isnotnull(d_month_seq#62) AND (d_month_seq#62 >= 1212)) AND (d_month_seq#62 <= 1223)) AND isnotnull(d_date_sk#5)) +(62) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#54] +Condition : (((isnotnull(d_month_seq#54) AND (d_month_seq#54 >= 1212)) AND (d_month_seq#54 <= 1223)) AND isnotnull(d_date_sk#5)) -(68) CometProject -Input [2]: [d_date_sk#5, d_month_seq#62] +(63) CometProject +Input [2]: [d_date_sk#5, d_month_seq#54] Arguments: [d_date_sk#5], [d_date_sk#5] -(69) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(70) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/extended.txt index d13ccdd19f..b7a20be3c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/extended.txt @@ -5,184 +5,179 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit - : +- Sort - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit - : +- Sort - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 54 out of 156 eligible operators (34%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 69 out of 156 eligible operators (44%). Final plan contains 25 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/simplified.txt index ba40c1d591..6ed5a7d9f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_datafusion/simplified.txt @@ -1,107 +1,90 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (32) + WholeStageCodegen (26) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (31) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (30) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (9) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #6 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (5) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #7 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (19) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #9 - WholeStageCodegen (18) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (29) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (28) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #7 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #9 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #10 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/explain.txt index af71da5f87..c82dde013b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/explain.txt @@ -1,70 +1,65 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * Project (65) - +- Window (64) - +- * CometColumnarToRow (63) - +- CometSort (62) - +- CometExchange (61) - +- CometHashAggregate (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- Union (57) - :- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- CometColumnarExchange (40) - : +- * HashAggregate (39) - : +- * Project (38) - : +- * BroadcastHashJoin Inner BuildRight (37) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (36) - : +- * Project (35) - : +- * BroadcastHashJoin LeftSemi BuildRight (34) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (33) - : +- * Project (32) - : +- * Filter (31) - : +- Window (30) - : +- WindowGroupLimit (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (49) - : +- * CometColumnarToRow (48) - : +- CometColumnarExchange (47) - : +- * HashAggregate (46) - : +- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- ReusedExchange (43) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * HashAggregate (52) - +- * CometColumnarToRow (51) - +- ReusedExchange (50) +TakeOrderedAndProject (61) ++- * Project (60) + +- Window (59) + +- * CometColumnarToRow (58) + +- CometSort (57) + +- CometExchange (56) + +- CometHashAggregate (55) + +- CometExchange (54) + +- CometHashAggregate (53) + +- CometUnion (52) + :- CometHashAggregate (41) + : +- CometColumnarExchange (40) + : +- * HashAggregate (39) + : +- * Project (38) + : +- * BroadcastHashJoin Inner BuildRight (37) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (36) + : +- * Project (35) + : +- * BroadcastHashJoin LeftSemi BuildRight (34) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (33) + : +- * Project (32) + : +- * Filter (31) + : +- Window (30) + : +- WindowGroupLimit (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (46) + : +- CometExchange (45) + : +- CometHashAggregate (44) + : +- CometHashAggregate (43) + : +- ReusedExchange (42) + +- CometHashAggregate (51) + +- CometExchange (50) + +- CometHashAggregate (49) + +- CometHashAggregate (48) + +- ReusedExchange (47) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -252,154 +247,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(43) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#21, s_county#31, sum#32] -(44) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] +(42) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#21, s_county#24, sum#25] -(45) HashAggregate [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] +(43) CometHashAggregate +Input [3]: [s_state#21, s_county#24, sum#25] +Keys [2]: [s_state#21, s_county#24] +Functions [1]: [sum(UnscaledValue(ss_net_profit#26))] -(46) HashAggregate [codegen id : 10] -Input [2]: [total_sum#34, s_state#21] +(44) CometHashAggregate +Input [2]: [total_sum#27, s_state#21] Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] +Functions [1]: [partial_sum(total_sum#27)] -(47) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(45) CometExchange +Input [3]: [s_state#21, sum#28, isEmpty#29] +Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(48) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(49) HashAggregate [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] +(46) CometHashAggregate +Input [3]: [s_state#21, sum#28, isEmpty#29] Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(50) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#21, s_county#45, sum#46] +Functions [1]: [sum(total_sum#27)] -(51) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] +(47) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#21, s_county#30, sum#31] -(52) HashAggregate [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#48] +(48) CometHashAggregate +Input [3]: [s_state#21, s_county#30, sum#31] +Keys [2]: [s_state#21, s_county#30] +Functions [1]: [sum(UnscaledValue(ss_net_profit#32))] -(53) HashAggregate [codegen id : 16] -Input [1]: [total_sum#48] +(49) CometHashAggregate +Input [1]: [total_sum#33] Keys: [] -Functions [1]: [partial_sum(total_sum#48)] -Aggregate Attributes [2]: [sum#49, isEmpty#50] -Results [2]: [sum#51, isEmpty#52] - -(54) CometColumnarExchange -Input [2]: [sum#51, isEmpty#52] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#33)] -(55) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#51, isEmpty#52] +(50) CometExchange +Input [2]: [sum#34, isEmpty#35] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(56) HashAggregate [codegen id : 17] -Input [2]: [sum#51, isEmpty#52] +(51) CometHashAggregate +Input [2]: [sum#34, isEmpty#35] Keys: [] -Functions [1]: [sum(total_sum#48)] -Aggregate Attributes [1]: [sum(total_sum#48)#53] -Results [6]: [sum(total_sum#48)#53 AS total_sum#54, null AS s_state#55, null AS s_county#56, 1 AS g_state#57, 1 AS g_county#58, 2 AS lochierarchy#59] +Functions [1]: [sum(total_sum#33)] -(57) Union +(52) CometUnion +Child 0 Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Child 1 Input [6]: [total_sum#42, s_state#21, s_county#43, g_state#44, g_county#45, lochierarchy#46] +Child 2 Input [6]: [total_sum#47, s_state#48, s_county#49, g_state#50, g_county#51, lochierarchy#52] -(58) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(53) CometHashAggregate +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Keys [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(59) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(54) CometExchange +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Arguments: hashpartitioning(total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(60) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(55) CometHashAggregate +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Keys [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] Functions: [] -(61) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: hashpartitioning(lochierarchy#30, _w0#60, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(56) CometExchange +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: hashpartitioning(lochierarchy#41, _w0#53, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(62) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60], [lochierarchy#30 ASC NULLS FIRST, _w0#60 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(57) CometSort +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53], [lochierarchy#41 ASC NULLS FIRST, _w0#53 ASC NULLS FIRST, total_sum#36 DESC NULLS LAST] -(63) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] +(58) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] -(64) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#60, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#61], [lochierarchy#30, _w0#60], [total_sum#25 DESC NULLS LAST] +(59) Window +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: [rank(total_sum#36) windowspecdefinition(lochierarchy#41, _w0#53, total_sum#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#54], [lochierarchy#41, _w0#53], [total_sum#36 DESC NULLS LAST] -(65) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60, rank_within_parent#61] +(60) Project [codegen id : 14] +Output [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] +Input [6]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53, rank_within_parent#54] -(66) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#61 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] +(61) TakeOrderedAndProject +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] +Arguments: 100, [lochierarchy#41 DESC NULLS LAST, CASE WHEN (lochierarchy#41 = 0) THEN s_state#37 END ASC NULLS FIRST, rank_within_parent#54 ASC NULLS FIRST], [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (67) +BroadcastExchange (66) ++- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (62) -(67) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(62) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter +(63) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(69) CometProject +(64) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(70) CometColumnarToRow [codegen id : 1] +(65) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(71) BroadcastExchange +(66) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/extended.txt index 191d0ef18a..37e390e632 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/extended.txt @@ -5,172 +5,167 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 156 eligible operators (65%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 156 eligible operators (71%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/simplified.txt index 2832c5a348..d1b802c6d3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a.native_iceberg_compat/simplified.txt @@ -1,101 +1,84 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/explain.txt index af71da5f87..c82dde013b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/explain.txt @@ -1,70 +1,65 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * Project (65) - +- Window (64) - +- * CometColumnarToRow (63) - +- CometSort (62) - +- CometExchange (61) - +- CometHashAggregate (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- Union (57) - :- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- CometColumnarExchange (40) - : +- * HashAggregate (39) - : +- * Project (38) - : +- * BroadcastHashJoin Inner BuildRight (37) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (36) - : +- * Project (35) - : +- * BroadcastHashJoin LeftSemi BuildRight (34) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (33) - : +- * Project (32) - : +- * Filter (31) - : +- Window (30) - : +- WindowGroupLimit (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (49) - : +- * CometColumnarToRow (48) - : +- CometColumnarExchange (47) - : +- * HashAggregate (46) - : +- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- ReusedExchange (43) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * HashAggregate (52) - +- * CometColumnarToRow (51) - +- ReusedExchange (50) +TakeOrderedAndProject (61) ++- * Project (60) + +- Window (59) + +- * CometColumnarToRow (58) + +- CometSort (57) + +- CometExchange (56) + +- CometHashAggregate (55) + +- CometExchange (54) + +- CometHashAggregate (53) + +- CometUnion (52) + :- CometHashAggregate (41) + : +- CometColumnarExchange (40) + : +- * HashAggregate (39) + : +- * Project (38) + : +- * BroadcastHashJoin Inner BuildRight (37) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (36) + : +- * Project (35) + : +- * BroadcastHashJoin LeftSemi BuildRight (34) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (33) + : +- * Project (32) + : +- * Filter (31) + : +- Window (30) + : +- WindowGroupLimit (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (46) + : +- CometExchange (45) + : +- CometHashAggregate (44) + : +- CometHashAggregate (43) + : +- ReusedExchange (42) + +- CometHashAggregate (51) + +- CometExchange (50) + +- CometHashAggregate (49) + +- CometHashAggregate (48) + +- ReusedExchange (47) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -252,154 +247,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(43) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#21, s_county#31, sum#32] -(44) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] +(42) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#21, s_county#24, sum#25] -(45) HashAggregate [codegen id : 10] -Input [3]: [s_state#21, s_county#31, sum#32] -Keys [2]: [s_state#21, s_county#31] -Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#33))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#33))#24,17,2) AS total_sum#34, s_state#21] +(43) CometHashAggregate +Input [3]: [s_state#21, s_county#24, sum#25] +Keys [2]: [s_state#21, s_county#24] +Functions [1]: [sum(UnscaledValue(ss_net_profit#26))] -(46) HashAggregate [codegen id : 10] -Input [2]: [total_sum#34, s_state#21] +(44) CometHashAggregate +Input [2]: [total_sum#27, s_state#21] Keys [1]: [s_state#21] -Functions [1]: [partial_sum(total_sum#34)] -Aggregate Attributes [2]: [sum#35, isEmpty#36] -Results [3]: [s_state#21, sum#37, isEmpty#38] +Functions [1]: [partial_sum(total_sum#27)] -(47) CometColumnarExchange -Input [3]: [s_state#21, sum#37, isEmpty#38] -Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(45) CometExchange +Input [3]: [s_state#21, sum#28, isEmpty#29] +Arguments: hashpartitioning(s_state#21, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(48) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] - -(49) HashAggregate [codegen id : 11] -Input [3]: [s_state#21, sum#37, isEmpty#38] +(46) CometHashAggregate +Input [3]: [s_state#21, sum#28, isEmpty#29] Keys [1]: [s_state#21] -Functions [1]: [sum(total_sum#34)] -Aggregate Attributes [1]: [sum(total_sum#34)#39] -Results [6]: [sum(total_sum#34)#39 AS total_sum#40, s_state#21, null AS s_county#41, 0 AS g_state#42, 1 AS g_county#43, 1 AS lochierarchy#44] - -(50) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#21, s_county#45, sum#46] +Functions [1]: [sum(total_sum#27)] -(51) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] +(47) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#21, s_county#30, sum#31] -(52) HashAggregate [codegen id : 16] -Input [3]: [s_state#21, s_county#45, sum#46] -Keys [2]: [s_state#21, s_county#45] -Functions [1]: [sum(UnscaledValue(ss_net_profit#47))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#47))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#47))#24,17,2) AS total_sum#48] +(48) CometHashAggregate +Input [3]: [s_state#21, s_county#30, sum#31] +Keys [2]: [s_state#21, s_county#30] +Functions [1]: [sum(UnscaledValue(ss_net_profit#32))] -(53) HashAggregate [codegen id : 16] -Input [1]: [total_sum#48] +(49) CometHashAggregate +Input [1]: [total_sum#33] Keys: [] -Functions [1]: [partial_sum(total_sum#48)] -Aggregate Attributes [2]: [sum#49, isEmpty#50] -Results [2]: [sum#51, isEmpty#52] - -(54) CometColumnarExchange -Input [2]: [sum#51, isEmpty#52] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#33)] -(55) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#51, isEmpty#52] +(50) CometExchange +Input [2]: [sum#34, isEmpty#35] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(56) HashAggregate [codegen id : 17] -Input [2]: [sum#51, isEmpty#52] +(51) CometHashAggregate +Input [2]: [sum#34, isEmpty#35] Keys: [] -Functions [1]: [sum(total_sum#48)] -Aggregate Attributes [1]: [sum(total_sum#48)#53] -Results [6]: [sum(total_sum#48)#53 AS total_sum#54, null AS s_state#55, null AS s_county#56, 1 AS g_state#57, 1 AS g_county#58, 2 AS lochierarchy#59] +Functions [1]: [sum(total_sum#33)] -(57) Union +(52) CometUnion +Child 0 Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Child 1 Input [6]: [total_sum#42, s_state#21, s_county#43, g_state#44, g_county#45, lochierarchy#46] +Child 2 Input [6]: [total_sum#47, s_state#48, s_county#49, g_state#50, g_county#51, lochierarchy#52] -(58) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(53) CometHashAggregate +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Keys [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(59) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(54) CometExchange +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Arguments: hashpartitioning(total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(60) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(55) CometHashAggregate +Input [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] +Keys [6]: [total_sum#36, s_state#37, s_county#38, g_state#39, g_county#40, lochierarchy#41] Functions: [] -(61) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: hashpartitioning(lochierarchy#30, _w0#60, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(56) CometExchange +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: hashpartitioning(lochierarchy#41, _w0#53, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(62) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60], [lochierarchy#30 ASC NULLS FIRST, _w0#60 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(57) CometSort +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53], [lochierarchy#41 ASC NULLS FIRST, _w0#53 ASC NULLS FIRST, total_sum#36 DESC NULLS LAST] -(63) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] +(58) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] -(64) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#60, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#61], [lochierarchy#30, _w0#60], [total_sum#25 DESC NULLS LAST] +(59) Window +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53] +Arguments: [rank(total_sum#36) windowspecdefinition(lochierarchy#41, _w0#53, total_sum#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#54], [lochierarchy#41, _w0#53], [total_sum#36 DESC NULLS LAST] -(65) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#60, rank_within_parent#61] +(60) Project [codegen id : 14] +Output [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] +Input [6]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, _w0#53, rank_within_parent#54] -(66) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#61 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#61] +(61) TakeOrderedAndProject +Input [5]: [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] +Arguments: 100, [lochierarchy#41 DESC NULLS LAST, CASE WHEN (lochierarchy#41 = 0) THEN s_state#37 END ASC NULLS FIRST, rank_within_parent#54 ASC NULLS FIRST], [total_sum#36, s_state#37, s_county#38, lochierarchy#41, rank_within_parent#54] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (67) +BroadcastExchange (66) ++- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (62) -(67) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(62) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter +(63) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(69) CometProject +(64) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(70) CometColumnarToRow [codegen id : 1] +(65) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(71) BroadcastExchange +(66) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/extended.txt index 191d0ef18a..37e390e632 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/extended.txt @@ -5,172 +5,167 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 156 eligible operators (65%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 156 eligible operators (71%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/simplified.txt index 2832c5a348..d1b802c6d3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q70a/simplified.txt @@ -1,101 +1,84 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/explain.txt index 5d2bcfdc5c..01c17ccd3d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#19, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#20, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#21, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#22, 30, true, false, true) AS c_last_name#7] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7], [c_customer_sk#18, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#19, 16, true, false, true) AS c_customer_id#5, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#20, 20, true, false, true) AS c_first_name#6, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#21, 30, true, false, true) AS c_last_name#7] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_customer_sk#23) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_customer_sk#22) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#23] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#22] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25] -Input [7]: [c_customer_sk#19, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#23, ss_net_paid#24, ss_sold_date_sk#25] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#27, d_year#28] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24] +Input [7]: [c_customer_sk#18, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#22, ss_net_paid#23, ss_sold_date_sk#24] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#25] -Right keys [1]: [d_date_sk#27] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#26, d_year#27] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, ss_sold_date_sk#25, d_date_sk#27, d_year#28] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#24, d_year#28] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum#29] -Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28, sum#30] -Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#28] -Functions [1]: [sum(UnscaledValue(ss_net_paid#24))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#24))#16] -Results [4]: [c_customer_id#5 AS customer_id#31, c_first_name#6 AS customer_first_name#32, c_last_name#7 AS customer_last_name#33, MakeDecimal(sum(UnscaledValue(ss_net_paid#24))#16,17,2) AS year_total#34] - -(36) BroadcastExchange -Input [4]: [customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#31] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#26] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Input [7]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, ss_sold_date_sk#24, d_date_sk#26, d_year#27] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#23, d_year#27] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#23))] +Aggregate Attributes [1]: [sum#28] +Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27, sum#29] +Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#27] +Functions [1]: [sum(UnscaledValue(ss_net_paid#23))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Arguments: [customer_id#16], [customer_id#30], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Condition : (isnotnull(c_customer_sk#35) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true))) +(37) CometFilter +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Condition : (isnotnull(c_customer_sk#34) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true))) -(40) CometProject -Input [4]: [c_customer_sk#35, c_customer_id#36, c_first_name#37, c_last_name#38] -Arguments: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#35, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#36, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#37, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#38, 30, true, false, true) AS c_last_name#41] +(38) CometProject +Input [4]: [c_customer_sk#34, c_customer_id#35, c_first_name#36, c_last_name#37] +Arguments: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#34, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#35, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#36, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#37, 30, true, false, true) AS c_last_name#40] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#44), dynamicpruningexpression(ws_sold_date_sk#44 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#43), dynamicpruningexpression(ws_sold_date_sk#43 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Condition : isnotnull(ws_bill_customer_sk#42) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Condition : isnotnull(ws_bill_customer_sk#41) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#35] -Right keys [1]: [ws_bill_customer_sk#42] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#34] +Right keys [1]: [ws_bill_customer_sk#41] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44] -Input [7]: [c_customer_sk#35, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#42, ws_net_paid#43, ws_sold_date_sk#44] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43] +Input [7]: [c_customer_sk#34, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#41, ws_net_paid#42, ws_sold_date_sk#43] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#45, d_year#46] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#44, d_year#45] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#44] -Right keys [1]: [d_date_sk#45] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, ws_sold_date_sk#44, d_date_sk#45, d_year#46] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#43, d_year#46] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum#47] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46, sum#48] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#46] -Functions [1]: [sum(UnscaledValue(ws_net_paid#43))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#43))#49] -Results [2]: [c_customer_id#39 AS customer_id#50, MakeDecimal(sum(UnscaledValue(ws_net_paid#43))#49,17,2) AS year_total#51] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#50, year_total#51] -Condition : (isnotnull(year_total#51) AND (year_total#51 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#50, year_total#51] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#50] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51] -Input [8]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, customer_id#50, year_total#51] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, ws_sold_date_sk#43, d_date_sk#44, d_year#45] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#42, d_year#45] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#42))] +Aggregate Attributes [1]: [sum#46] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45, sum#47] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#45] +Functions [1]: [sum(UnscaledValue(ws_net_paid#42))] + +(52) CometFilter +Input [2]: [customer_id#48, year_total#49] +Condition : (isnotnull(year_total#49) AND (year_total#49 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#48, year_total#49] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33] +Right output [2]: [customer_id#48, year_total#49] +Arguments: [customer_id#16], [customer_id#48], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, customer_id#48, year_total#49] +Arguments: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49], [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Condition : (isnotnull(c_customer_sk#52) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true))) +(57) CometFilter +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Condition : (isnotnull(c_customer_sk#50) AND isnotnull(staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true))) -(61) CometProject -Input [4]: [c_customer_sk#52, c_customer_id#53, c_first_name#54, c_last_name#55] -Arguments: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41], [c_customer_sk#52, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#53, 16, true, false, true) AS c_customer_id#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#54, 20, true, false, true) AS c_first_name#40, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#55, 30, true, false, true) AS c_last_name#41] +(58) CometProject +Input [4]: [c_customer_sk#50, c_customer_id#51, c_first_name#52, c_last_name#53] +Arguments: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40], [c_customer_sk#50, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_customer_id#51, 16, true, false, true) AS c_customer_id#38, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_first_name#52, 20, true, false, true) AS c_first_name#39, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, c_last_name#53, 30, true, false, true) AS c_last_name#40] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#58), dynamicpruningexpression(ws_sold_date_sk#58 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ws_sold_date_sk#56), dynamicpruningexpression(ws_sold_date_sk#56 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Condition : isnotnull(ws_bill_customer_sk#56) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Condition : isnotnull(ws_bill_customer_sk#54) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#52] -Right keys [1]: [ws_bill_customer_sk#56] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#50] +Right keys [1]: [ws_bill_customer_sk#54] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58] -Input [7]: [c_customer_sk#52, c_customer_id#39, c_first_name#40, c_last_name#41, ws_bill_customer_sk#56, ws_net_paid#57, ws_sold_date_sk#58] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56] +Input [7]: [c_customer_sk#50, c_customer_id#38, c_first_name#39, c_last_name#40, ws_bill_customer_sk#54, ws_net_paid#55, ws_sold_date_sk#56] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#59, d_year#60] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#57, d_year#58] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#58] -Right keys [1]: [d_date_sk#59] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#56] +Right keys [1]: [d_date_sk#57] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Input [7]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, ws_sold_date_sk#58, d_date_sk#59, d_year#60] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, ws_net_paid#57, d_year#60] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum#61] -Results [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Arguments: hashpartitioning(c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60, sum#62] -Keys [4]: [c_customer_id#39, c_first_name#40, c_last_name#41, d_year#60] -Functions [1]: [sum(UnscaledValue(ws_net_paid#57))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#57))#49] -Results [2]: [c_customer_id#39 AS customer_id#63, MakeDecimal(sum(UnscaledValue(ws_net_paid#57))#49,17,2) AS year_total#64] - -(76) BroadcastExchange -Input [2]: [customer_id#63, year_total#64] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#63] -Join type: Inner -Join condition: (CASE WHEN (year_total#51 > 0.00) THEN (year_total#64 / year_total#51) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#34 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Input [7]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, ws_sold_date_sk#56, d_date_sk#57, d_year#58] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, ws_net_paid#55, d_year#58] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#55))] +Aggregate Attributes [1]: [sum#59] +Results [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Arguments: hashpartitioning(c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58, sum#60] +Keys [4]: [c_customer_id#38, c_first_name#39, c_last_name#40, d_year#58] +Functions [1]: [sum(UnscaledValue(ws_net_paid#55))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Input [9]: [customer_id#17, year_total#18, customer_id#31, customer_first_name#32, customer_last_name#33, year_total#34, year_total#51, customer_id#63, year_total#64] +(72) CometBroadcastExchange +Input [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#61, year_total#62] -(79) TakeOrderedAndProject -Input [3]: [customer_id#31, customer_first_name#32, customer_last_name#33] -Arguments: 100, [customer_first_name#32 ASC NULLS FIRST, customer_id#31 ASC NULLS FIRST, customer_last_name#33 ASC NULLS FIRST], [customer_id#31, customer_first_name#32, customer_last_name#33] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49] +Right output [2]: [customer_id#61, year_total#62] +Arguments: [customer_id#16], [customer_id#61], Inner, (CASE WHEN (year_total#49 > 0.00) THEN (year_total#62 / year_total#49) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#33 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#30, customer_first_name#31, customer_last_name#32, year_total#33, year_total#49, customer_id#61, year_total#62] +Arguments: [customer_id#30, customer_first_name#31, customer_last_name#32], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_first_name#31 ASC NULLS FIRST,customer_id#30 ASC NULLS FIRST,customer_last_name#32 ASC NULLS FIRST], output=[customer_id#30,customer_first_name#31,customer_last_name#32]), [customer_id#30, customer_first_name#31, customer_last_name#32], 100, 0, [customer_first_name#31 ASC NULLS FIRST, customer_id#30 ASC NULLS FIRST, customer_last_name#32 ASC NULLS FIRST], [customer_id#30, customer_first_name#31, customer_last_name#32] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#30, customer_first_name#31, customer_last_name#32] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#26 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#25 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#27, d_year#28] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#27, d_year#28] -Condition : (((isnotnull(d_year#28) AND (d_year#28 = 2002)) AND d_year#28 IN (2001,2002)) AND isnotnull(d_date_sk#27)) +(82) CometFilter +Input [2]: [d_date_sk#26, d_year#27] +Condition : (((isnotnull(d_year#27) AND (d_year#27 = 2002)) AND d_year#27 IN (2001,2002)) AND isnotnull(d_date_sk#26)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#27, d_year#28] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#26, d_year#27] -(87) BroadcastExchange -Input [2]: [d_date_sk#27, d_year#28] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#26, d_year#27] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#44 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#43 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#58 IN dynamicpruning#26 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#56 IN dynamicpruning#25 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/simplified.txt index 9a8a029e1b..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/explain.txt index 744f3a986d..9bd3c7f5eb 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/explain.txt @@ -1,114 +1,107 @@ == Physical Plan == -* CometColumnarToRow (110) -+- CometTakeOrderedAndProject (109) - +- CometHashAggregate (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- Union (105) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- Union (86) - : :- * Project (32) - : : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : : :- * HashAggregate (16) - : : : +- * CometColumnarToRow (15) - : : : +- CometColumnarExchange (14) - : : : +- * HashAggregate (13) - : : : +- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : +- BroadcastExchange (30) - : : +- * HashAggregate (29) - : : +- * CometColumnarToRow (28) - : : +- CometColumnarExchange (27) - : : +- * HashAggregate (26) - : : +- * Project (25) - : : +- * BroadcastHashJoin Inner BuildRight (24) - : : :- * Project (22) - : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : :- * Filter (19) - : : : : +- * ColumnarToRow (18) - : : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (20) - : : +- ReusedExchange (23) - : :- * Project (53) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : : :- BroadcastExchange (42) - : : : +- * HashAggregate (41) - : : : +- * CometColumnarToRow (40) - : : : +- CometColumnarExchange (39) - : : : +- * HashAggregate (38) - : : : +- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * ColumnarToRow (34) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : : +- ReusedExchange (35) - : : +- * HashAggregate (51) - : : +- * CometColumnarToRow (50) - : : +- CometColumnarExchange (49) - : : +- * HashAggregate (48) - : : +- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * ColumnarToRow (44) - : : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : : +- ReusedExchange (45) - : +- * Project (85) - : +- * BroadcastHashJoin LeftOuter BuildRight (84) - : :- * HashAggregate (69) - : : +- * CometColumnarToRow (68) - : : +- CometColumnarExchange (67) - : : +- * HashAggregate (66) - : : +- * Project (65) - : : +- * BroadcastHashJoin Inner BuildRight (64) - : : :- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildRight (58) - : : : :- * Filter (56) - : : : : +- * ColumnarToRow (55) - : : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : : +- ReusedExchange (57) - : : +- BroadcastExchange (63) - : : +- * CometColumnarToRow (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.web_page (60) - : +- BroadcastExchange (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- CometColumnarExchange (80) - : +- * HashAggregate (79) - : +- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * Project (75) - : : +- * BroadcastHashJoin Inner BuildRight (74) - : : :- * Filter (72) - : : : +- * ColumnarToRow (71) - : : : +- Scan parquet spark_catalog.default.web_returns (70) - : : +- ReusedExchange (73) - : +- ReusedExchange (76) - :- * HashAggregate (97) - : +- * CometColumnarToRow (96) - : +- CometColumnarExchange (95) - : +- * HashAggregate (94) - : +- * HashAggregate (93) - : +- * CometColumnarToRow (92) - : +- ReusedExchange (91) - +- * HashAggregate (104) - +- * CometColumnarToRow (103) - +- CometColumnarExchange (102) - +- * HashAggregate (101) - +- * HashAggregate (100) - +- * CometColumnarToRow (99) - +- ReusedExchange (98) +* CometColumnarToRow (103) ++- CometTakeOrderedAndProject (102) + +- CometHashAggregate (101) + +- CometExchange (100) + +- CometHashAggregate (99) + +- CometUnion (98) + :- CometHashAggregate (87) + : +- CometColumnarExchange (86) + : +- * HashAggregate (85) + : +- Union (84) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (15) + : : : +- CometColumnarExchange (14) + : : : +- * HashAggregate (13) + : : : +- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (10) + : : : +- * CometColumnarToRow (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (21) + : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : :- * Filter (18) + : : : : +- * ColumnarToRow (17) + : : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (52) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : : :- BroadcastExchange (41) + : : : +- * CometColumnarToRow (40) + : : : +- CometHashAggregate (39) + : : : +- CometColumnarExchange (38) + : : : +- * HashAggregate (37) + : : : +- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * ColumnarToRow (33) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (34) + : : +- * CometColumnarToRow (50) + : : +- CometHashAggregate (49) + : : +- CometColumnarExchange (48) + : : +- * HashAggregate (47) + : : +- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * ColumnarToRow (43) + : : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : : +- ReusedExchange (44) + : +- * CometColumnarToRow (83) + : +- CometProject (82) + : +- CometBroadcastHashJoin (81) + : :- CometHashAggregate (67) + : : +- CometColumnarExchange (66) + : : +- * HashAggregate (65) + : : +- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : : +- ReusedExchange (56) + : : +- BroadcastExchange (62) + : : +- * CometColumnarToRow (61) + : : +- CometFilter (60) + : : +- CometNativeScan parquet spark_catalog.default.web_page (59) + : +- CometBroadcastExchange (80) + : +- CometHashAggregate (79) + : +- CometColumnarExchange (78) + : +- * HashAggregate (77) + : +- * Project (76) + : +- * BroadcastHashJoin Inner BuildRight (75) + : :- * Project (73) + : : +- * BroadcastHashJoin Inner BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.web_returns (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (74) + :- CometHashAggregate (92) + : +- CometExchange (91) + : +- CometHashAggregate (90) + : +- CometHashAggregate (89) + : +- ReusedExchange (88) + +- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +119,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 115] +(4) ReusedExchange [Reuses operator id: 108] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -178,501 +171,453 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] -(32) Project [codegen id : 8] -Output [5]: [store channel AS channel#30, s_store_sk#7 AS id#31, sales#14, coalesce(returns#28, 0.00) AS returns#32, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [channel#26, id#27, sales#24, returns#28, profit#29], [store channel AS channel#26, s_store_sk#7 AS id#27, sales#24, coalesce(returns#22, 0.00) AS returns#28, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#29] + +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] + +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [catalog channel AS channel#59, cs_call_center_sk#34 AS id#60, sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [catalog channel AS channel#51, cs_call_center_sk#30 AS id#52, sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] - -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None - -(85) Project [codegen id : 22] -Output [5]: [web channel AS channel#90, wp_web_page_sk#67 AS id#91, sales#74, coalesce(returns#88, 0.00) AS returns#92, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] - -(86) Union - -(87) HashAggregate [codegen id : 23] -Input [5]: [channel#30, id#31, sales#14, returns#32, profit#33] -Keys [2]: [channel#30, id#31] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#32), partial_sum(profit#33)] -Aggregate Attributes [6]: [sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99] -Results [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(88) CometColumnarExchange -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Arguments: hashpartitioning(channel#30, id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(89) CometColumnarToRow [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(90) HashAggregate [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [5]: [channel#30, id#31, cast(sum(sales#14)#106 as decimal(37,2)) AS sales#109, cast(sum(returns#32)#107 as decimal(37,2)) AS returns#110, cast(sum(profit#33)#108 as decimal(38,2)) AS profit#111] - -(91) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(92) CometColumnarToRow [codegen id : 48] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(93) HashAggregate [codegen id : 48] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [4]: [channel#30, sum(sales#14)#106 AS sales#112, sum(returns#32)#107 AS returns#113, sum(profit#33)#108 AS profit#114] - -(94) HashAggregate [codegen id : 48] -Input [4]: [channel#30, sales#112, returns#113, profit#114] -Keys [1]: [channel#30] -Functions [3]: [partial_sum(sales#112), partial_sum(returns#113), partial_sum(profit#114)] -Aggregate Attributes [6]: [sum#115, isEmpty#116, sum#117, isEmpty#118, sum#119, isEmpty#120] -Results [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] - -(95) CometColumnarExchange -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] -Arguments: hashpartitioning(channel#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(96) CometColumnarToRow [codegen id : 49] -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] - -(97) HashAggregate [codegen id : 49] -Input [7]: [channel#30, sum#121, isEmpty#122, sum#123, isEmpty#124, sum#125, isEmpty#126] -Keys [1]: [channel#30] -Functions [3]: [sum(sales#112), sum(returns#113), sum(profit#114)] -Aggregate Attributes [3]: [sum(sales#112)#127, sum(returns#113)#128, sum(profit#114)#129] -Results [5]: [channel#30, null AS id#130, sum(sales#112)#127 AS sales#131, sum(returns#113)#128 AS returns#132, sum(profit#114)#129 AS profit#133] - -(98) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(99) CometColumnarToRow [codegen id : 73] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(100) HashAggregate [codegen id : 73] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [3]: [sum(sales#14)#106 AS sales#134, sum(returns#32)#107 AS returns#135, sum(profit#33)#108 AS profit#136] - -(101) HashAggregate [codegen id : 73] -Input [3]: [sales#134, returns#135, profit#136] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] + +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] + +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight + +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [channel#78, id#79, sales#76, returns#80, profit#81], [web channel AS channel#78, wp_web_page_sk#59 AS id#79, sales#76, coalesce(returns#74, 0.00) AS returns#80, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#81] + +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#78, id#79, sales#76, returns#80, profit#81] + +(84) Union + +(85) HashAggregate [codegen id : 21] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] +Keys [2]: [channel#26, id#27] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#28), partial_sum(profit#29)] +Aggregate Attributes [6]: [sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] +Results [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(86) CometColumnarExchange +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Arguments: hashpartitioning(channel#26, id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(87) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(88) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(89) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(90) CometHashAggregate +Input [4]: [channel#26, sales#94, returns#95, profit#96] +Keys [1]: [channel#26] +Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] + +(91) CometExchange +Input [7]: [channel#26, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Arguments: hashpartitioning(channel#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] + +(92) CometHashAggregate +Input [7]: [channel#26, sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] +Keys [1]: [channel#26] +Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] + +(93) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(94) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(95) CometHashAggregate +Input [3]: [sales#103, returns#104, profit#105] Keys: [] -Functions [3]: [partial_sum(sales#134), partial_sum(returns#135), partial_sum(profit#136)] -Aggregate Attributes [6]: [sum#137, isEmpty#138, sum#139, isEmpty#140, sum#141, isEmpty#142] -Results [6]: [sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148] - -(102) CometColumnarExchange -Input [6]: [sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [3]: [partial_sum(sales#103), partial_sum(returns#104), partial_sum(profit#105)] -(103) CometColumnarToRow [codegen id : 74] -Input [6]: [sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148] +(96) CometExchange +Input [6]: [sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(104) HashAggregate [codegen id : 74] -Input [6]: [sum#143, isEmpty#144, sum#145, isEmpty#146, sum#147, isEmpty#148] +(97) CometHashAggregate +Input [6]: [sum#106, isEmpty#107, sum#108, isEmpty#109, sum#110, isEmpty#111] Keys: [] -Functions [3]: [sum(sales#134), sum(returns#135), sum(profit#136)] -Aggregate Attributes [3]: [sum(sales#134)#149, sum(returns#135)#150, sum(profit#136)#151] -Results [5]: [null AS channel#152, null AS id#153, sum(sales#134)#149 AS sales#154, sum(returns#135)#150 AS returns#155, sum(profit#136)#151 AS profit#156] +Functions [3]: [sum(sales#103), sum(returns#104), sum(profit#105)] -(105) Union +(98) CometUnion +Child 0 Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] +Child 1 Input [5]: [channel#26, id#115, sales#116, returns#117, profit#118] +Child 2 Input [5]: [channel#119, id#120, sales#121, returns#122, profit#123] -(106) HashAggregate [codegen id : 75] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(99) CometHashAggregate +Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] +Keys [5]: [channel#26, id#27, sales#112, returns#113, profit#114] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -(107) CometColumnarExchange -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: hashpartitioning(channel#30, id#31, sales#109, returns#110, profit#111, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] +(100) CometExchange +Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] +Arguments: hashpartitioning(channel#26, id#27, sales#112, returns#113, profit#114, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] -(108) CometHashAggregate -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(101) CometHashAggregate +Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] +Keys [5]: [channel#26, id#27, sales#112, returns#113, profit#114] Functions: [] -(109) CometTakeOrderedAndProject -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#30 ASC NULLS FIRST,id#31 ASC NULLS FIRST], output=[channel#30,id#31,sales#109,returns#110,profit#111]), [channel#30, id#31, sales#109, returns#110, profit#111], 100, 0, [channel#30 ASC NULLS FIRST, id#31 ASC NULLS FIRST], [channel#30, id#31, sales#109, returns#110, profit#111] +(102) CometTakeOrderedAndProject +Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#26 ASC NULLS FIRST,id#27 ASC NULLS FIRST], output=[channel#26,id#27,sales#112,returns#113,profit#114]), [channel#26, id#27, sales#112, returns#113, profit#114], 100, 0, [channel#26 ASC NULLS FIRST, id#27 ASC NULLS FIRST], [channel#26, id#27, sales#112, returns#113, profit#114] -(110) CometColumnarToRow [codegen id : 76] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(103) CometColumnarToRow [codegen id : 64] +Input [5]: [channel#26, id#27, sales#112, returns#113, profit#114] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (115) -+- * CometColumnarToRow (114) - +- CometProject (113) - +- CometFilter (112) - +- CometNativeScan parquet spark_catalog.default.date_dim (111) +BroadcastExchange (108) ++- * CometColumnarToRow (107) + +- CometProject (106) + +- CometFilter (105) + +- CometNativeScan parquet spark_catalog.default.date_dim (104) -(111) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#157] +(104) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#124] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(112) CometFilter -Input [2]: [d_date_sk#6, d_date#157] -Condition : (((isnotnull(d_date#157) AND (d_date#157 >= 1998-08-04)) AND (d_date#157 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) +(105) CometFilter +Input [2]: [d_date_sk#6, d_date#124] +Condition : (((isnotnull(d_date#124) AND (d_date#124 >= 1998-08-04)) AND (d_date#124 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(113) CometProject -Input [2]: [d_date_sk#6, d_date#157] +(106) CometProject +Input [2]: [d_date_sk#6, d_date#124] Arguments: [d_date_sk#6], [d_date_sk#6] -(114) CometColumnarToRow [codegen id : 1] +(107) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(115) BroadcastExchange +(108) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=16] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/extended.txt index 81b485e6b3..62f8814212 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/extended.txt @@ -1,409 +1,398 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin - : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_page + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 113 out of 332 eligible operators (34%). Final plan contains 75 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 158 out of 332 eligible operators (47%). Final plan contains 64 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/simplified.txt index 6f40fcdddf..2b336edecc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_datafusion/simplified.txt @@ -1,180 +1,155 @@ -WholeStageCodegen (76) +WholeStageCodegen (64) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (75) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (24) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (23) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (8) - Project [s_store_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #3 - WholeStageCodegen (3) - HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,s_store_sk] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #7 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (21) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_store_sk] #3 + WholeStageCodegen (3) + HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,s_store_sk] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [s_store_sk] #5 - WholeStageCodegen (14) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] InputAdapter - CometColumnarExchange [cs_call_center_sk] #9 - WholeStageCodegen (10) - HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] - Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (13) - HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] - Project [cr_return_amount,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (22) - Project [wp_web_page_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #11 - WholeStageCodegen (17) - HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] - Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] - Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #6 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #7 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - BroadcastExchange #12 - WholeStageCodegen (16) - CometColumnarToRow - InputAdapter - CometFilter [wp_web_page_sk] - CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [s_store_sk] #5 + WholeStageCodegen (13) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometColumnarExchange [cs_call_center_sk] #9 + WholeStageCodegen (9) + HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] + Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange #10 + WholeStageCodegen (12) + HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] + Project [cr_return_amount,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometColumnarExchange [wp_web_page_sk] #11 + WholeStageCodegen (16) + HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] + Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] + Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - CometColumnarExchange [wp_web_page_sk] #14 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [wp_web_page_sk] #12 - WholeStageCodegen (49) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #15 - WholeStageCodegen (48) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (74) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #16 - WholeStageCodegen (73) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometFilter [wp_web_page_sk] + CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #13 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #14 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [wp_web_page_sk] #12 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #15 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #16 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/explain.txt index 4b5efc84e3..9faa7cbc19 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] -(84) ReusedExchange [Reuses operator id: 81] +(83) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(86) HashAggregate [codegen id : 12] +(84) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [4]: [channel#24, sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#24, sales#94, returns#95, profit#96] +(85) CometHashAggregate +Input [4]: [channel#24, sales#88, returns#89, profit#90] Keys [1]: [channel#24] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(88) CometColumnarExchange -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(86) CometExchange +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(87) CometHashAggregate +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] Keys [1]: [channel#24] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#109, sum(returns#95)#110, sum(profit#96)#111] -Results [5]: [channel#24, null AS id#112, sum(sales#94)#109 AS sales#113, sum(returns#95)#110 AS returns#114, sum(profit#96)#111 AS profit#115] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(91) ReusedExchange [Reuses operator id: 81] +(88) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(93) HashAggregate [codegen id : 19] +(89) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [3]: [sum(sales#22)#88 AS sales#116, sum(returns#26)#89 AS returns#117, sum(profit#27)#90 AS profit#118] -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#116, returns#117, profit#118] +(90) CometHashAggregate +Input [3]: [sales#97, returns#98, profit#99] Keys: [] -Functions [3]: [partial_sum(sales#116), partial_sum(returns#117), partial_sum(profit#118)] -Aggregate Attributes [6]: [sum#119, isEmpty#120, sum#121, isEmpty#122, sum#123, isEmpty#124] -Results [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] - -(95) CometColumnarExchange -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#97), partial_sum(returns#98), partial_sum(profit#99)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] +(91) CometExchange +Input [6]: [sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] +(92) CometHashAggregate +Input [6]: [sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] Keys: [] -Functions [3]: [sum(sales#116), sum(returns#117), sum(profit#118)] -Aggregate Attributes [3]: [sum(sales#116)#131, sum(returns#117)#132, sum(profit#118)#133] -Results [5]: [null AS channel#134, null AS id#135, sum(sales#116)#131 AS sales#136, sum(returns#117)#132 AS returns#137, sum(profit#118)#133 AS profit#138] +Functions [3]: [sum(sales#97), sum(returns#98), sum(profit#99)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Child 1 Input [5]: [channel#24, id#109, sales#110, returns#111, profit#112] +Child 2 Input [5]: [channel#113, id#114, sales#115, returns#116, profit#117] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Keys [5]: [channel#24, id#25, sales#106, returns#107, profit#108] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Arguments: hashpartitioning(channel#24, id#25, sales#106, returns#107, profit#108, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Keys [5]: [channel#24, id#25, sales#106, returns#107, profit#108] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#106,returns#107,profit#108]), [channel#24, id#25, sales#106, returns#107, profit#108], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#106, returns#107, profit#108] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a.native_iceberg_compat/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/explain.txt index 4b5efc84e3..9faa7cbc19 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] -(84) ReusedExchange [Reuses operator id: 81] +(83) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(86) HashAggregate [codegen id : 12] +(84) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [4]: [channel#24, sum(sales#22)#88 AS sales#94, sum(returns#26)#89 AS returns#95, sum(profit#27)#90 AS profit#96] -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#24, sales#94, returns#95, profit#96] +(85) CometHashAggregate +Input [4]: [channel#24, sales#88, returns#89, profit#90] Keys [1]: [channel#24] -Functions [3]: [partial_sum(sales#94), partial_sum(returns#95), partial_sum(profit#96)] -Aggregate Attributes [6]: [sum#97, isEmpty#98, sum#99, isEmpty#100, sum#101, isEmpty#102] -Results [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +Functions [3]: [partial_sum(sales#88), partial_sum(returns#89), partial_sum(profit#90)] -(88) CometColumnarExchange -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] -Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(86) CometExchange +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] +Arguments: hashpartitioning(channel#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#24, sum#103, isEmpty#104, sum#105, isEmpty#106, sum#107, isEmpty#108] +(87) CometHashAggregate +Input [7]: [channel#24, sum#91, isEmpty#92, sum#93, isEmpty#94, sum#95, isEmpty#96] Keys [1]: [channel#24] -Functions [3]: [sum(sales#94), sum(returns#95), sum(profit#96)] -Aggregate Attributes [3]: [sum(sales#94)#109, sum(returns#95)#110, sum(profit#96)#111] -Results [5]: [channel#24, null AS id#112, sum(sales#94)#109 AS sales#113, sum(returns#95)#110 AS returns#114, sum(profit#96)#111 AS profit#115] +Functions [3]: [sum(sales#88), sum(returns#89), sum(profit#90)] -(91) ReusedExchange [Reuses operator id: 81] +(88) ReusedExchange [Reuses operator id: 81] Output [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(93) HashAggregate [codegen id : 19] +(89) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [3]: [sum(sales#22)#88 AS sales#116, sum(returns#26)#89 AS returns#117, sum(profit#27)#90 AS profit#118] -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#116, returns#117, profit#118] +(90) CometHashAggregate +Input [3]: [sales#97, returns#98, profit#99] Keys: [] -Functions [3]: [partial_sum(sales#116), partial_sum(returns#117), partial_sum(profit#118)] -Aggregate Attributes [6]: [sum#119, isEmpty#120, sum#121, isEmpty#122, sum#123, isEmpty#124] -Results [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] - -(95) CometColumnarExchange -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#97), partial_sum(returns#98), partial_sum(profit#99)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] +(91) CometExchange +Input [6]: [sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#125, isEmpty#126, sum#127, isEmpty#128, sum#129, isEmpty#130] +(92) CometHashAggregate +Input [6]: [sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] Keys: [] -Functions [3]: [sum(sales#116), sum(returns#117), sum(profit#118)] -Aggregate Attributes [3]: [sum(sales#116)#131, sum(returns#117)#132, sum(profit#118)#133] -Results [5]: [null AS channel#134, null AS id#135, sum(sales#116)#131 AS sales#136, sum(returns#117)#132 AS returns#137, sum(profit#118)#133 AS profit#138] +Functions [3]: [sum(sales#97), sum(returns#98), sum(profit#99)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Child 1 Input [5]: [channel#24, id#109, sales#110, returns#111, profit#112] +Child 2 Input [5]: [channel#113, id#114, sales#115, returns#116, profit#117] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Keys [5]: [channel#24, id#25, sales#106, returns#107, profit#108] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Arguments: hashpartitioning(channel#24, id#25, sales#106, returns#107, profit#108, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Keys [5]: [channel#24, id#25, sales#106, returns#107, profit#108] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#106,returns#107,profit#108]), [channel#24, id#25, sales#106, returns#107, profit#108], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#106, returns#107, profit#108] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#106, returns#107, profit#108] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q77a/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/explain.txt index 03194c1609..e0dfdcb026 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/explain.txt @@ -1,45 +1,40 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- Window (39) - +- * CometColumnarToRow (38) - +- CometSort (37) - +- CometExchange (36) - +- CometHashAggregate (35) - +- CometColumnarExchange (34) - +- * HashAggregate (33) - +- Union (32) - :- * HashAggregate (17) - : +- * CometColumnarToRow (16) - : +- CometColumnarExchange (15) - : +- * HashAggregate (14) - : +- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) - : +- ReusedExchange (18) - +- * HashAggregate (31) - +- * CometColumnarToRow (30) - +- CometColumnarExchange (29) - +- * HashAggregate (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- ReusedExchange (25) +TakeOrderedAndProject (36) ++- * Project (35) + +- Window (34) + +- * CometColumnarToRow (33) + +- CometSort (32) + +- CometExchange (31) + +- CometHashAggregate (30) + +- CometExchange (29) + +- CometHashAggregate (28) + +- CometUnion (27) + :- CometHashAggregate (16) + : +- CometColumnarExchange (15) + : +- * HashAggregate (14) + : +- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + :- CometHashAggregate (21) + : +- CometExchange (20) + : +- CometHashAggregate (19) + : +- CometHashAggregate (18) + : +- ReusedExchange (17) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometHashAggregate (23) + +- ReusedExchange (22) (1) Scan parquet spark_catalog.default.web_sales @@ -57,7 +52,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 41] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -113,154 +108,126 @@ Results [3]: [i_category#10, i_class#9, sum#12] Input [3]: [i_category#10, i_class#9, sum#12] Arguments: hashpartitioning(i_category#10, i_class#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [3]: [i_category#10, i_class#9, sum#12] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [3]: [i_category#10, i_class#9, sum#12] Keys [2]: [i_category#10, i_class#9] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#13] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#13,17,2) as decimal(27,2)) AS total_sum#14, i_category#10 AS i_category#15, i_class#9 AS i_class#16, 0 AS g_category#17, 0 AS g_class#18, 0 AS lochierarchy#19] - -(18) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#10, i_class#9, sum#20] -(19) CometColumnarToRow [codegen id : 8] -Input [3]: [i_category#10, i_class#9, sum#20] +(17) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#10, i_class#9, sum#13] -(20) HashAggregate [codegen id : 8] -Input [3]: [i_category#10, i_class#9, sum#20] +(18) CometHashAggregate +Input [3]: [i_category#10, i_class#9, sum#13] Keys [2]: [i_category#10, i_class#9] -Functions [1]: [sum(UnscaledValue(ws_net_paid#21))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#21))#13] -Results [2]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#21))#13,17,2) AS total_sum#22, i_category#10] +Functions [1]: [sum(UnscaledValue(ws_net_paid#14))] -(21) HashAggregate [codegen id : 8] -Input [2]: [total_sum#22, i_category#10] +(19) CometHashAggregate +Input [2]: [total_sum#15, i_category#10] Keys [1]: [i_category#10] -Functions [1]: [partial_sum(total_sum#22)] -Aggregate Attributes [2]: [sum#23, isEmpty#24] -Results [3]: [i_category#10, sum#25, isEmpty#26] +Functions [1]: [partial_sum(total_sum#15)] -(22) CometColumnarExchange -Input [3]: [i_category#10, sum#25, isEmpty#26] -Arguments: hashpartitioning(i_category#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(20) CometExchange +Input [3]: [i_category#10, sum#16, isEmpty#17] +Arguments: hashpartitioning(i_category#10, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 9] -Input [3]: [i_category#10, sum#25, isEmpty#26] - -(24) HashAggregate [codegen id : 9] -Input [3]: [i_category#10, sum#25, isEmpty#26] +(21) CometHashAggregate +Input [3]: [i_category#10, sum#16, isEmpty#17] Keys [1]: [i_category#10] -Functions [1]: [sum(total_sum#22)] -Aggregate Attributes [1]: [sum(total_sum#22)#27] -Results [6]: [sum(total_sum#22)#27 AS total_sum#28, i_category#10, null AS i_class#29, 0 AS g_category#30, 1 AS g_class#31, 1 AS lochierarchy#32] - -(25) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#10, i_class#9, sum#33] +Functions [1]: [sum(total_sum#15)] -(26) CometColumnarToRow [codegen id : 13] -Input [3]: [i_category#10, i_class#9, sum#33] +(22) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#10, i_class#9, sum#18] -(27) HashAggregate [codegen id : 13] -Input [3]: [i_category#10, i_class#9, sum#33] +(23) CometHashAggregate +Input [3]: [i_category#10, i_class#9, sum#18] Keys [2]: [i_category#10, i_class#9] -Functions [1]: [sum(UnscaledValue(ws_net_paid#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#34))#13] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#34))#13,17,2) AS total_sum#35] +Functions [1]: [sum(UnscaledValue(ws_net_paid#19))] -(28) HashAggregate [codegen id : 13] -Input [1]: [total_sum#35] +(24) CometHashAggregate +Input [1]: [total_sum#20] Keys: [] -Functions [1]: [partial_sum(total_sum#35)] -Aggregate Attributes [2]: [sum#36, isEmpty#37] -Results [2]: [sum#38, isEmpty#39] - -(29) CometColumnarExchange -Input [2]: [sum#38, isEmpty#39] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +Functions [1]: [partial_sum(total_sum#20)] -(30) CometColumnarToRow [codegen id : 14] -Input [2]: [sum#38, isEmpty#39] +(25) CometExchange +Input [2]: [sum#21, isEmpty#22] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(31) HashAggregate [codegen id : 14] -Input [2]: [sum#38, isEmpty#39] +(26) CometHashAggregate +Input [2]: [sum#21, isEmpty#22] Keys: [] -Functions [1]: [sum(total_sum#35)] -Aggregate Attributes [1]: [sum(total_sum#35)#40] -Results [6]: [sum(total_sum#35)#40 AS total_sum#41, null AS i_category#42, null AS i_class#43, 1 AS g_category#44, 1 AS g_class#45, 2 AS lochierarchy#46] +Functions [1]: [sum(total_sum#20)] -(32) Union +(27) CometUnion +Child 0 Input [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] +Child 1 Input [6]: [total_sum#29, i_category#10, i_class#30, g_category#31, g_class#32, lochierarchy#33] +Child 2 Input [6]: [total_sum#34, i_category#35, i_class#36, g_category#37, g_class#38, lochierarchy#39] -(33) HashAggregate [codegen id : 15] -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(28) CometHashAggregate +Input [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] +Keys [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -(34) CometColumnarExchange -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Arguments: hashpartitioning(total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(29) CometExchange +Input [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] +Arguments: hashpartitioning(total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(35) CometHashAggregate -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(30) CometHashAggregate +Input [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] +Keys [6]: [total_sum#23, i_category#24, i_class#25, g_category#26, g_class#27, lochierarchy#28] Functions: [] -(36) CometExchange -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47] -Arguments: hashpartitioning(lochierarchy#19, _w0#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(31) CometExchange +Input [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40] +Arguments: hashpartitioning(lochierarchy#28, _w0#40, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(37) CometSort -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47] -Arguments: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47], [lochierarchy#19 ASC NULLS FIRST, _w0#47 ASC NULLS FIRST, total_sum#14 DESC NULLS LAST] +(32) CometSort +Input [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40] +Arguments: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40], [lochierarchy#28 ASC NULLS FIRST, _w0#40 ASC NULLS FIRST, total_sum#23 DESC NULLS LAST] -(38) CometColumnarToRow [codegen id : 16] -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47] +(33) CometColumnarToRow [codegen id : 10] +Input [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40] -(39) Window -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47] -Arguments: [rank(total_sum#14) windowspecdefinition(lochierarchy#19, _w0#47, total_sum#14 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#48], [lochierarchy#19, _w0#47], [total_sum#14 DESC NULLS LAST] +(34) Window +Input [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40] +Arguments: [rank(total_sum#23) windowspecdefinition(lochierarchy#28, _w0#40, total_sum#23 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#41], [lochierarchy#28, _w0#40], [total_sum#23 DESC NULLS LAST] -(40) Project [codegen id : 17] -Output [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#48] -Input [6]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#47, rank_within_parent#48] +(35) Project [codegen id : 11] +Output [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, rank_within_parent#41] +Input [6]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, _w0#40, rank_within_parent#41] -(41) TakeOrderedAndProject -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#48] -Arguments: 100, [lochierarchy#19 DESC NULLS LAST, CASE WHEN (lochierarchy#19 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#48 ASC NULLS FIRST], [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#48] +(36) TakeOrderedAndProject +Input [5]: [total_sum#23, i_category#24, i_class#25, lochierarchy#28, rank_within_parent#41] +Arguments: 100, [lochierarchy#28 DESC NULLS LAST, CASE WHEN (lochierarchy#28 = 0) THEN i_category#24 END ASC NULLS FIRST, rank_within_parent#41 ASC NULLS FIRST], [total_sum#23, i_category#24, i_class#25, lochierarchy#28, rank_within_parent#41] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (41) ++- * CometColumnarToRow (40) + +- CometProject (39) + +- CometFilter (38) + +- CometNativeScan parquet spark_catalog.default.date_dim (37) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#49] +(37) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#42] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#49] -Condition : (((isnotnull(d_month_seq#49) AND (d_month_seq#49 >= 1212)) AND (d_month_seq#49 <= 1223)) AND isnotnull(d_date_sk#5)) +(38) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#42] +Condition : (((isnotnull(d_month_seq#42) AND (d_month_seq#42 >= 1212)) AND (d_month_seq#42 <= 1223)) AND isnotnull(d_date_sk#5)) -(44) CometProject -Input [2]: [d_date_sk#5, d_month_seq#49] +(39) CometProject +Input [2]: [d_date_sk#5, d_month_seq#42] Arguments: [d_date_sk#5], [d_date_sk#5] -(45) CometColumnarToRow [codegen id : 1] +(40) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(46) BroadcastExchange +(41) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/extended.txt index a5b37c422c..871cd88c89 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/extended.txt @@ -5,97 +5,92 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 81 eligible operators (44%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 45 out of 81 eligible operators (55%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/simplified.txt index 2ccc8c0c39..c770397391 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q86a.native_datafusion/simplified.txt @@ -1,71 +1,54 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (17) + WholeStageCodegen (11) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (16) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_category] [total_sum,i_category,i_class,lochierarchy,_w0,g_class] - CometColumnarExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 - WholeStageCodegen (15) - HashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (4) - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] - Project [ws_net_paid,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - WholeStageCodegen (9) - HashAggregate [i_category,sum,isEmpty] [sum(total_sum),total_sum,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #6 - WholeStageCodegen (8) - HashAggregate [i_category,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 - WholeStageCodegen (14) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #7 - WholeStageCodegen (13) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 + CometExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 + CometHashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometUnion [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometHashAggregate [sum] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(UnscaledValue(ws_net_paid)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] + Project [ws_net_paid,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange [i_category] #6 + CometHashAggregate [total_sum] [i_category,sum,isEmpty] + CometHashAggregate [i_class,sum] [total_sum,i_category,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange #7 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [i_category,i_class,sum] [total_sum,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/explain.txt index 646b85d12e..07b5a23adc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/explain.txt @@ -1,29 +1,28 @@ == Physical Plan == -* CometColumnarToRow (25) -+- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (24) ++- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -73,7 +72,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 30] +(11) ReusedExchange [Reuses operator id: 29] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -97,75 +96,70 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometColumnarToRow [codegen id : 7] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (30) -+- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.date_dim (26) +BroadcastExchange (29) ++- * CometColumnarToRow (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.date_dim (25) -(26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(25) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(27) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(26) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(28) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(27) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(29) CometColumnarToRow [codegen id : 1] +(28) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(30) BroadcastExchange +(29) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/extended.txt index 9ab057d467..f5d0996b8d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/extended.txt @@ -5,33 +5,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 28 eligible operators (53%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/simplified.txt index c1ec019e57..b5c4948d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark3_5/q98.native_datafusion/simplified.txt @@ -1,47 +1,44 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/explain.txt index 7cfe036ae9..c7be24530d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_pur Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Arguments: hashpartitioning(cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [9]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26, count#32] Keys [8]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cd_purchase_estimate#22, cd_credit_rating#30, cd_dep_count#24, cd_dep_employed_count#25, cd_dep_college_count#26] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#33] -Results [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, count(1)#33 AS cnt1#34, cd_purchase_estimate#22, count(1)#33 AS cnt2#35, cd_credit_rating#30, count(1)#33 AS cnt3#36, cd_dep_count#24, count(1)#33 AS cnt4#37, cd_dep_employed_count#25, count(1)#33 AS cnt5#38, cd_dep_college_count#26, count(1)#33 AS cnt6#39] -(43) TakeOrderedAndProject -Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] -Arguments: 100, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#34, cd_purchase_estimate#22, cnt2#35, cd_credit_rating#30, cnt3#36, cd_dep_count#24, cnt4#37, cd_dep_employed_count#25, cnt5#38, cd_dep_college_count#26, cnt6#39] +(42) CometTakeOrderedAndProject +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cd_gender#27 ASC NULLS FIRST,cd_marital_status#28 ASC NULLS FIRST,cd_education_status#29 ASC NULLS FIRST,cd_purchase_estimate#22 ASC NULLS FIRST,cd_credit_rating#30 ASC NULLS FIRST,cd_dep_count#24 ASC NULLS FIRST,cd_dep_employed_count#25 ASC NULLS FIRST,cd_dep_college_count#26 ASC NULLS FIRST], output=[cd_gender#27,cd_marital_status#28,cd_education_status#29,cnt1#33,cd_purchase_estimate#22,cnt2#34,cd_credit_rating#30,cnt3#35,cd_dep_count#24,cnt4#36,cd_dep_employed_count#25,cnt5#37,cd_dep_college_count#26,cnt6#38]), [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38], 100, 0, [cd_gender#27 ASC NULLS FIRST, cd_marital_status#28 ASC NULLS FIRST, cd_education_status#29 ASC NULLS FIRST, cd_purchase_estimate#22 ASC NULLS FIRST, cd_credit_rating#30 ASC NULLS FIRST, cd_dep_count#24 ASC NULLS FIRST, cd_dep_employed_count#25 ASC NULLS FIRST, cd_dep_college_count#26 ASC NULLS FIRST], [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] + +(43) CometColumnarToRow [codegen id : 10] +Input [14]: [cd_gender#27, cd_marital_status#28, cd_education_status#29, cnt1#33, cd_purchase_estimate#22, cnt2#34, cd_credit_rating#30, cnt3#35, cd_dep_count#24, cnt4#36, cd_dep_employed_count#25, cnt5#37, cd_dep_college_count#26, cnt6#38] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#40, d_moy#41] +Output [3]: [d_date_sk#7, d_year#39, d_moy#40] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2002), GreaterThanOrEqual(d_moy,4), LessThanOrEqual(d_moy,7), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#40, d_moy#41] -Condition : (((((isnotnull(d_year#40) AND isnotnull(d_moy#41)) AND (d_year#40 = 2002)) AND (d_moy#41 >= 4)) AND (d_moy#41 <= 7)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#39, d_moy#40] +Condition : (((((isnotnull(d_year#39) AND isnotnull(d_moy#40)) AND (d_year#39 = 2002)) AND (d_moy#40 >= 4)) AND (d_moy#40 <= 7)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#40, d_moy#41] +Input [3]: [d_date_sk#7, d_year#39, d_moy#40] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/simplified.txt index 11bfb6f6c3..fee0bf370e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q10a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,cnt2,cnt3,cnt4,cnt5,cnt6] - WholeStageCodegen (10) - HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count] [count(1),cnt1,cnt2,cnt3,cnt4,cnt5,cnt6,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6] + CometHashAggregate [count] [cd_gender,cd_marital_status,cd_education_status,cnt1,cd_purchase_estimate,cnt2,cd_credit_rating,cnt3,cd_dep_count,cnt4,cd_dep_employed_count,cnt5,cd_dep_college_count,cnt6,count(1)] CometColumnarExchange [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [cd_gender,cd_marital_status,cd_education_status,cd_purchase_estimate,cd_credit_rating,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/explain.txt index 700f90222d..d29f413119 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [10]: [c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] Input [12]: [c_customer_sk#1, c_customer_id#9, c_first_name#10, c_last_name#11, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, ss_customer_sk#15, ss_ext_discount_amt#16, ss_ext_list_price#17, ss_sold_date_sk#18] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#20, d_year#21] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_pre Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Arguments: hashpartitioning(c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [9]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14, sum#23] Keys [8]: [c_customer_id#9, c_first_name#10, c_last_name#11, d_year#21, c_preferred_cust_flag#12, c_birth_country#6, c_login#13, c_email_address#14] Functions [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24] -Results [2]: [c_customer_id#9 AS customer_id#25, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#17 - ss_ext_discount_amt#16)))#24,18,2) AS year_total#26] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#25, year_total#26] -Condition : (isnotnull(year_total#26) AND (year_total#26 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#24, year_total#25] +Condition : (isnotnull(year_total#25) AND (year_total#25 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Condition : (isnotnull(c_customer_sk#27) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#28, 16)))) +(19) CometFilter +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Condition : (isnotnull(c_customer_sk#26) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#27, 16)))) -(21) CometProject -Input [8]: [c_customer_sk#27, c_customer_id#28, c_first_name#29, c_last_name#30, c_preferred_cust_flag#31, c_birth_country#32, c_login#33, c_email_address#34] -Arguments: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40], [c_customer_sk#27, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#28, 16)) AS c_customer_id#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#29, 20)) AS c_first_name#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#30, 30)) AS c_last_name#37, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#31, 1)) AS c_preferred_cust_flag#38, c_birth_country#32, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#33, 13)) AS c_login#39, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#34, 50)) AS c_email_address#40] +(20) CometProject +Input [8]: [c_customer_sk#26, c_customer_id#27, c_first_name#28, c_last_name#29, c_preferred_cust_flag#30, c_birth_country#31, c_login#32, c_email_address#33] +Arguments: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39], [c_customer_sk#26, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#27, 16)) AS c_customer_id#34, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#28, 20)) AS c_first_name#35, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#29, 30)) AS c_last_name#36, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#30, 1)) AS c_preferred_cust_flag#37, c_birth_country#31, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#32, 13)) AS c_login#38, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#33, 50)) AS c_email_address#39] -(22) CometColumnarToRow [codegen id : 6] -Input [8]: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] +(21) CometColumnarToRow [codegen id : 6] +Input [8]: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] -(23) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(22) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#44), dynamicpruningexpression(ss_sold_date_sk#44 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ss_sold_date_sk#43), dynamicpruningexpression(ss_sold_date_sk#43 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(23) ColumnarToRow [codegen id : 4] +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(25) Filter [codegen id : 4] -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Condition : isnotnull(ss_customer_sk#41) +(24) Filter [codegen id : 4] +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Condition : isnotnull(ss_customer_sk#40) -(26) BroadcastExchange -Input [4]: [ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] +(25) BroadcastExchange +Input [4]: [ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#27] -Right keys [1]: [ss_customer_sk#41] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#26] +Right keys [1]: [ss_customer_sk#40] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] -Input [12]: [c_customer_sk#27, c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_customer_sk#41, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#46, d_year#47] +(27) Project [codegen id : 6] +Output [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] +Input [12]: [c_customer_sk#26, c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_customer_sk#40, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#44] -Right keys [1]: [d_date_sk#46] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#45, d_year#46] -(31) Project [codegen id : 6] -Output [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, d_year#47] -Input [12]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, ss_sold_date_sk#44, d_date_sk#46, d_year#47] - -(32) HashAggregate [codegen id : 6] -Input [10]: [c_customer_id#35, c_first_name#36, c_last_name#37, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, ss_ext_discount_amt#42, ss_ext_list_price#43, d_year#47] -Keys [8]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] -Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))] -Aggregate Attributes [1]: [sum#48] -Results [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] - -(33) CometColumnarExchange -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] -Arguments: hashpartitioning(c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] - -(35) HashAggregate [codegen id : 7] -Input [9]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40, sum#49] -Keys [8]: [c_customer_id#35, c_first_name#36, c_last_name#37, d_year#47, c_preferred_cust_flag#38, c_birth_country#32, c_login#39, c_email_address#40] -Functions [1]: [sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))#24] -Results [5]: [c_customer_id#35 AS customer_id#50, c_first_name#36 AS customer_first_name#51, c_last_name#37 AS customer_last_name#52, c_email_address#40 AS customer_email_address#53, MakeDecimal(sum(UnscaledValue((ss_ext_list_price#43 - ss_ext_discount_amt#42)))#24,18,2) AS year_total#54] - -(36) BroadcastExchange -Input [5]: [customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53, year_total#54] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#50] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#43] +Right keys [1]: [d_date_sk#45] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#60, c_login#61, c_email_address#62] +(30) Project [codegen id : 6] +Output [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, d_year#46] +Input [12]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, ss_sold_date_sk#43, d_date_sk#45, d_year#46] + +(31) HashAggregate [codegen id : 6] +Input [10]: [c_customer_id#34, c_first_name#35, c_last_name#36, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, ss_ext_discount_amt#41, ss_ext_list_price#42, d_year#46] +Keys [8]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] +Functions [1]: [partial_sum(UnscaledValue((ss_ext_list_price#42 - ss_ext_discount_amt#41)))] +Aggregate Attributes [1]: [sum#47] +Results [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] + +(32) CometColumnarExchange +Input [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] +Arguments: hashpartitioning(c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [9]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39, sum#48] +Keys [8]: [c_customer_id#34, c_first_name#35, c_last_name#36, d_year#46, c_preferred_cust_flag#37, c_birth_country#31, c_login#38, c_email_address#39] +Functions [1]: [sum(UnscaledValue((ss_ext_list_price#42 - ss_ext_discount_amt#41)))] + +(34) CometBroadcastExchange +Input [5]: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53] +Arguments: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#24, year_total#25] +Right output [5]: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53] +Arguments: [customer_id#24], [customer_id#49], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#54, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#59, c_login#60, c_email_address#61] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [8]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#60, c_login#61, c_email_address#62] -Condition : (isnotnull(c_customer_sk#55) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)))) +(37) CometFilter +Input [8]: [c_customer_sk#54, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#59, c_login#60, c_email_address#61] +Condition : (isnotnull(c_customer_sk#54) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#55, 16)))) -(40) CometProject -Input [8]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58, c_preferred_cust_flag#59, c_birth_country#60, c_login#61, c_email_address#62] -Arguments: [c_customer_sk#55, c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68], [c_customer_sk#55, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)) AS c_customer_id#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#57, 20)) AS c_first_name#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#58, 30)) AS c_last_name#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#59, 1)) AS c_preferred_cust_flag#66, c_birth_country#60, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#61, 13)) AS c_login#67, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#62, 50)) AS c_email_address#68] +(38) CometProject +Input [8]: [c_customer_sk#54, c_customer_id#55, c_first_name#56, c_last_name#57, c_preferred_cust_flag#58, c_birth_country#59, c_login#60, c_email_address#61] +Arguments: [c_customer_sk#54, c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67], [c_customer_sk#54, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#55, 16)) AS c_customer_id#62, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#56, 20)) AS c_first_name#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#57, 30)) AS c_last_name#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#58, 1)) AS c_preferred_cust_flag#65, c_birth_country#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#60, 13)) AS c_login#66, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#61, 50)) AS c_email_address#67] -(41) CometColumnarToRow [codegen id : 10] -Input [8]: [c_customer_sk#55, c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68] +(39) CometColumnarToRow [codegen id : 9] +Input [8]: [c_customer_sk#54, c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67] -(42) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#69, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] +(40) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#68, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#72), dynamicpruningexpression(ws_sold_date_sk#72 IN dynamicpruning#19)] +PartitionFilters: [isnotnull(ws_sold_date_sk#71), dynamicpruningexpression(ws_sold_date_sk#71 IN dynamicpruning#19)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [4]: [ws_bill_customer_sk#69, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] +(41) ColumnarToRow [codegen id : 7] +Input [4]: [ws_bill_customer_sk#68, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] -(44) Filter [codegen id : 8] -Input [4]: [ws_bill_customer_sk#69, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] -Condition : isnotnull(ws_bill_customer_sk#69) +(42) Filter [codegen id : 7] +Input [4]: [ws_bill_customer_sk#68, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] +Condition : isnotnull(ws_bill_customer_sk#68) -(45) BroadcastExchange -Input [4]: [ws_bill_customer_sk#69, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [4]: [ws_bill_customer_sk#68, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#55] -Right keys [1]: [ws_bill_customer_sk#69] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#54] +Right keys [1]: [ws_bill_customer_sk#68] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [10]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] -Input [12]: [c_customer_sk#55, c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, ws_bill_customer_sk#69, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72] +(45) Project [codegen id : 9] +Output [10]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] +Input [12]: [c_customer_sk#54, c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, ws_bill_customer_sk#68, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#73, d_year#74] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#72, d_year#73] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#72] -Right keys [1]: [d_date_sk#73] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#71] +Right keys [1]: [d_date_sk#72] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [10]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, ws_ext_discount_amt#70, ws_ext_list_price#71, d_year#74] -Input [12]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, ws_ext_discount_amt#70, ws_ext_list_price#71, ws_sold_date_sk#72, d_date_sk#73, d_year#74] - -(51) HashAggregate [codegen id : 10] -Input [10]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, ws_ext_discount_amt#70, ws_ext_list_price#71, d_year#74] -Keys [8]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#71 - ws_ext_discount_amt#70)))] -Aggregate Attributes [1]: [sum#75] -Results [9]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74, sum#76] - -(52) CometColumnarExchange -Input [9]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74, sum#76] -Arguments: hashpartitioning(c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [9]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74, sum#76] - -(54) HashAggregate [codegen id : 11] -Input [9]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74, sum#76] -Keys [8]: [c_customer_id#63, c_first_name#64, c_last_name#65, c_preferred_cust_flag#66, c_birth_country#60, c_login#67, c_email_address#68, d_year#74] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#71 - ws_ext_discount_amt#70)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#71 - ws_ext_discount_amt#70)))#77] -Results [2]: [c_customer_id#63 AS customer_id#78, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#71 - ws_ext_discount_amt#70)))#77,18,2) AS year_total#79] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#78, year_total#79] -Condition : (isnotnull(year_total#79) AND (year_total#79 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#78, year_total#79] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#78] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [8]: [customer_id#25, year_total#26, customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53, year_total#54, year_total#79] -Input [9]: [customer_id#25, year_total#26, customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53, year_total#54, customer_id#78, year_total#79] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [8]: [c_customer_sk#80, c_customer_id#81, c_first_name#82, c_last_name#83, c_preferred_cust_flag#84, c_birth_country#85, c_login#86, c_email_address#87] +(48) Project [codegen id : 9] +Output [10]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, ws_ext_discount_amt#69, ws_ext_list_price#70, d_year#73] +Input [12]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, ws_ext_discount_amt#69, ws_ext_list_price#70, ws_sold_date_sk#71, d_date_sk#72, d_year#73] + +(49) HashAggregate [codegen id : 9] +Input [10]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, ws_ext_discount_amt#69, ws_ext_list_price#70, d_year#73] +Keys [8]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#70 - ws_ext_discount_amt#69)))] +Aggregate Attributes [1]: [sum#74] +Results [9]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73, sum#75] + +(50) CometColumnarExchange +Input [9]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73, sum#75] +Arguments: hashpartitioning(c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [9]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73, sum#75] +Keys [8]: [c_customer_id#62, c_first_name#63, c_last_name#64, c_preferred_cust_flag#65, c_birth_country#59, c_login#66, c_email_address#67, d_year#73] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#70 - ws_ext_discount_amt#69)))] + +(52) CometFilter +Input [2]: [customer_id#76, year_total#77] +Condition : (isnotnull(year_total#77) AND (year_total#77 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#76, year_total#77] +Arguments: [customer_id#76, year_total#77] + +(54) CometBroadcastHashJoin +Left output [7]: [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53] +Right output [2]: [customer_id#76, year_total#77] +Arguments: [customer_id#24], [customer_id#76], Inner, BuildRight + +(55) CometProject +Input [9]: [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53, customer_id#76, year_total#77] +Arguments: [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53, year_total#77], [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53, year_total#77] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [8]: [c_customer_sk#80, c_customer_id#81, c_first_name#82, c_last_name#83, c_preferred_cust_flag#84, c_birth_country#85, c_login#86, c_email_address#87] -Condition : (isnotnull(c_customer_sk#80) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#81, 16)))) +(57) CometFilter +Input [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] +Condition : (isnotnull(c_customer_sk#78) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#79, 16)))) -(61) CometProject -Input [8]: [c_customer_sk#80, c_customer_id#81, c_first_name#82, c_last_name#83, c_preferred_cust_flag#84, c_birth_country#85, c_login#86, c_email_address#87] -Arguments: [c_customer_sk#80, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93], [c_customer_sk#80, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#81, 16)) AS c_customer_id#88, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#82, 20)) AS c_first_name#89, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#83, 30)) AS c_last_name#90, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#84, 1)) AS c_preferred_cust_flag#91, c_birth_country#85, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#86, 13)) AS c_login#92, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#87, 50)) AS c_email_address#93] +(58) CometProject +Input [8]: [c_customer_sk#78, c_customer_id#79, c_first_name#80, c_last_name#81, c_preferred_cust_flag#82, c_birth_country#83, c_login#84, c_email_address#85] +Arguments: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91], [c_customer_sk#78, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#79, 16)) AS c_customer_id#86, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#80, 20)) AS c_first_name#87, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#81, 30)) AS c_last_name#88, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#82, 1)) AS c_preferred_cust_flag#89, c_birth_country#83, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_login#84, 13)) AS c_login#90, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_email_address#85, 50)) AS c_email_address#91] -(62) CometColumnarToRow [codegen id : 14] -Input [8]: [c_customer_sk#80, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93] +(59) CometColumnarToRow [codegen id : 12] +Input [8]: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91] -(63) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_bill_customer_sk#94, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] +(60) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#97), dynamicpruningexpression(ws_sold_date_sk#97 IN dynamicpruning#45)] +PartitionFilters: [isnotnull(ws_sold_date_sk#95), dynamicpruningexpression(ws_sold_date_sk#95 IN dynamicpruning#44)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [4]: [ws_bill_customer_sk#94, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] +(61) ColumnarToRow [codegen id : 10] +Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] -(65) Filter [codegen id : 12] -Input [4]: [ws_bill_customer_sk#94, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] -Condition : isnotnull(ws_bill_customer_sk#94) +(62) Filter [codegen id : 10] +Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +Condition : isnotnull(ws_bill_customer_sk#92) -(66) BroadcastExchange -Input [4]: [ws_bill_customer_sk#94, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [4]: [ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#80] -Right keys [1]: [ws_bill_customer_sk#94] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#78] +Right keys [1]: [ws_bill_customer_sk#92] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [10]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] -Input [12]: [c_customer_sk#80, c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, ws_bill_customer_sk#94, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97] +(65) Project [codegen id : 12] +Output [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] +Input [12]: [c_customer_sk#78, c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_bill_customer_sk#92, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#98, d_year#99] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#96, d_year#97] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#97] -Right keys [1]: [d_date_sk#98] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#95] +Right keys [1]: [d_date_sk#96] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [10]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, ws_ext_discount_amt#95, ws_ext_list_price#96, d_year#99] -Input [12]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, ws_ext_discount_amt#95, ws_ext_list_price#96, ws_sold_date_sk#97, d_date_sk#98, d_year#99] - -(72) HashAggregate [codegen id : 14] -Input [10]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, ws_ext_discount_amt#95, ws_ext_list_price#96, d_year#99] -Keys [8]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99] -Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#96 - ws_ext_discount_amt#95)))] -Aggregate Attributes [1]: [sum#100] -Results [9]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99, sum#101] - -(73) CometColumnarExchange -Input [9]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99, sum#101] -Arguments: hashpartitioning(c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [9]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99, sum#101] - -(75) HashAggregate [codegen id : 15] -Input [9]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99, sum#101] -Keys [8]: [c_customer_id#88, c_first_name#89, c_last_name#90, c_preferred_cust_flag#91, c_birth_country#85, c_login#92, c_email_address#93, d_year#99] -Functions [1]: [sum(UnscaledValue((ws_ext_list_price#96 - ws_ext_discount_amt#95)))] -Aggregate Attributes [1]: [sum(UnscaledValue((ws_ext_list_price#96 - ws_ext_discount_amt#95)))#77] -Results [2]: [c_customer_id#88 AS customer_id#102, MakeDecimal(sum(UnscaledValue((ws_ext_list_price#96 - ws_ext_discount_amt#95)))#77,18,2) AS year_total#103] - -(76) BroadcastExchange -Input [2]: [customer_id#102, year_total#103] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#25] -Right keys [1]: [customer_id#102] -Join type: Inner -Join condition: (CASE WHEN (year_total#79 > 0.00) THEN (year_total#103 / year_total#79) ELSE 0E-20 END > CASE WHEN (year_total#26 > 0.00) THEN (year_total#54 / year_total#26) ELSE 0E-20 END) +(68) Project [codegen id : 12] +Output [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, d_year#97] +Input [12]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, ws_sold_date_sk#95, d_date_sk#96, d_year#97] + +(69) HashAggregate [codegen id : 12] +Input [10]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, ws_ext_discount_amt#93, ws_ext_list_price#94, d_year#97] +Keys [8]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97] +Functions [1]: [partial_sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))] +Aggregate Attributes [1]: [sum#98] +Results [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] + +(70) CometColumnarExchange +Input [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] +Arguments: hashpartitioning(c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [9]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97, sum#99] +Keys [8]: [c_customer_id#86, c_first_name#87, c_last_name#88, c_preferred_cust_flag#89, c_birth_country#83, c_login#90, c_email_address#91, d_year#97] +Functions [1]: [sum(UnscaledValue((ws_ext_list_price#94 - ws_ext_discount_amt#93)))] -(78) Project [codegen id : 16] -Output [4]: [customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53] -Input [10]: [customer_id#25, year_total#26, customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53, year_total#54, year_total#79, customer_id#102, year_total#103] +(72) CometBroadcastExchange +Input [2]: [customer_id#100, year_total#101] +Arguments: [customer_id#100, year_total#101] -(79) TakeOrderedAndProject -Input [4]: [customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53] -Arguments: 100, [customer_id#50 ASC NULLS FIRST, customer_first_name#51 ASC NULLS FIRST, customer_last_name#52 ASC NULLS FIRST, customer_email_address#53 ASC NULLS FIRST], [customer_id#50, customer_first_name#51, customer_last_name#52, customer_email_address#53] +(73) CometBroadcastHashJoin +Left output [8]: [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53, year_total#77] +Right output [2]: [customer_id#100, year_total#101] +Arguments: [customer_id#24], [customer_id#100], Inner, (CASE WHEN (year_total#77 > 0.00) THEN (year_total#101 / year_total#77) ELSE 0E-20 END > CASE WHEN (year_total#25 > 0.00) THEN (year_total#53 / year_total#25) ELSE 0E-20 END), BuildRight + +(74) CometProject +Input [10]: [customer_id#24, year_total#25, customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52, year_total#53, year_total#77, customer_id#100, year_total#101] +Arguments: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52], [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52] + +(75) CometTakeOrderedAndProject +Input [4]: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_id#49 ASC NULLS FIRST,customer_first_name#50 ASC NULLS FIRST,customer_last_name#51 ASC NULLS FIRST,customer_email_address#52 ASC NULLS FIRST], output=[customer_id#49,customer_first_name#50,customer_last_name#51,customer_email_address#52]), [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52], 100, 0, [customer_id#49 ASC NULLS FIRST, customer_first_name#50 ASC NULLS FIRST, customer_last_name#51 ASC NULLS FIRST, customer_email_address#52 ASC NULLS FIRST], [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52] + +(76) CometColumnarToRow [codegen id : 13] +Input [4]: [customer_id#49, customer_first_name#50, customer_last_name#51, customer_email_address#52] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#18 IN dynamicpruning#19 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#20, d_year#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#20, d_year#21] Condition : ((isnotnull(d_year#21) AND (d_year#21 = 2001)) AND isnotnull(d_date_sk#20)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#20, d_year#21] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#20, d_year#21] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#44 IN dynamicpruning#45 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#43 IN dynamicpruning#44 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#46, d_year#47] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#45, d_year#46] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#46, d_year#47] -Condition : ((isnotnull(d_year#47) AND (d_year#47 = 2002)) AND isnotnull(d_date_sk#46)) +(82) CometFilter +Input [2]: [d_date_sk#45, d_year#46] +Condition : ((isnotnull(d_year#46) AND (d_year#46 = 2002)) AND isnotnull(d_date_sk#45)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#46, d_year#47] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#45, d_year#46] -(87) BroadcastExchange -Input [2]: [d_date_sk#46, d_year#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#45, d_year#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#72 IN dynamicpruning#19 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#71 IN dynamicpruning#19 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#97 IN dynamicpruning#45 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#95 IN dynamicpruning#44 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/simplified.txt index 00a3e659d4..34623698d1 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q11.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name,customer_email_address] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometProject [customer_id,customer_first_name,customer_last_name,customer_email_address] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_id,customer_first_name,customer_last_name,custom CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,sum] [sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt))),customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total] #4 + CometHashAggregate [d_year,c_preferred_cust_flag,c_birth_country,c_login,sum] [customer_id,customer_first_name,customer_last_name,customer_email_address,year_total,c_customer_id,c_first_name,c_last_name,c_email_address,sum(UnscaledValue((ss_ext_list_price - ss_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_list_price,ss_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt))),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_ext_discount_amt,ss_ext_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue((ws_ext_list_price - ws_ext_discount_amt)))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,d_year,ws_ext_list_price,ws_ext_discount_amt] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_login,c_email_address] [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name,c_preferred_cust_flag,c_birth_country,c_login,c_email_address] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_ext_discount_amt,ws_ext_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/explain.txt index 51f95a9e5b..dc4d0c709f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.web_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.web_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.web_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ws_item_sk#1, ws_ext_sales_price#2, ws_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ws_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/extended.txt index 6c2a775097..28733db954 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/simplified.txt index c129b42cdb..c02f64b5c4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q12.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ws_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] - Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ws_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ws_ext_sales_price] [sum,sum] + Project [ws_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_ext_sales_price,ws_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_ext_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/explain.txt index 5b9627c41c..a6524743d7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/explain.txt @@ -1,91 +1,90 @@ == Physical Plan == -TakeOrderedAndProject (87) -+- * BroadcastHashJoin Inner BuildRight (86) - :- * Filter (68) - : +- * HashAggregate (67) - : +- * CometColumnarToRow (66) - : +- CometColumnarExchange (65) - : +- * HashAggregate (64) - : +- * Project (63) - : +- * BroadcastHashJoin Inner BuildRight (62) - : :- * Project (60) - : : +- * BroadcastHashJoin Inner BuildRight (59) - : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- BroadcastExchange (51) - : : : +- * Project (50) - : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : :- * CometColumnarToRow (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : +- BroadcastExchange (48) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : :- * CometColumnarToRow (36) - : : : : +- CometHashAggregate (35) - : : : : +- CometColumnarExchange (34) - : : : : +- * HashAggregate (33) - : : : : +- * Project (32) - : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : :- * Project (29) - : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : :- * Filter (9) - : : : : : : +- * ColumnarToRow (8) - : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : +- BroadcastExchange (27) - : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : :- * CometColumnarToRow (12) - : : : : : : +- CometFilter (11) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : +- BroadcastExchange (25) - : : : : : +- * Project (24) - : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : :- * Project (21) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : :- * Filter (15) - : : : : : : : +- * ColumnarToRow (14) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : +- BroadcastExchange (19) - : : : : : : +- * CometColumnarToRow (18) - : : : : : : +- CometFilter (17) - : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : +- ReusedExchange (22) - : : : : +- ReusedExchange (30) - : : : +- BroadcastExchange (46) - : : : +- * Project (45) - : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : :- * Project (42) - : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : :- * Filter (39) - : : : : : +- * ColumnarToRow (38) - : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : +- ReusedExchange (40) - : : : +- ReusedExchange (43) - : : +- BroadcastExchange (58) - : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : :- * CometColumnarToRow (55) - : : : +- CometFilter (54) - : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : +- ReusedExchange (56) - : +- ReusedExchange (61) - +- BroadcastExchange (85) - +- * Filter (84) - +- * HashAggregate (83) - +- * CometColumnarToRow (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- * Project (79) - +- * BroadcastHashJoin Inner BuildRight (78) - :- * Project (76) - : +- * BroadcastHashJoin Inner BuildRight (75) - : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : :- * Filter (71) - : : : +- * ColumnarToRow (70) - : : : +- Scan parquet spark_catalog.default.store_sales (69) - : : +- ReusedExchange (72) - : +- ReusedExchange (74) - +- ReusedExchange (77) +* CometColumnarToRow (86) ++- CometTakeOrderedAndProject (85) + +- CometBroadcastHashJoin (84) + :- CometFilter (67) + : +- CometHashAggregate (66) + : +- CometColumnarExchange (65) + : +- * HashAggregate (64) + : +- * Project (63) + : +- * BroadcastHashJoin Inner BuildRight (62) + : :- * Project (60) + : : +- * BroadcastHashJoin Inner BuildRight (59) + : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- BroadcastExchange (51) + : : : +- * Project (50) + : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : :- * CometColumnarToRow (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : +- BroadcastExchange (48) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : :- * CometColumnarToRow (36) + : : : : +- CometHashAggregate (35) + : : : : +- CometColumnarExchange (34) + : : : : +- * HashAggregate (33) + : : : : +- * Project (32) + : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : :- * Project (29) + : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : :- * Filter (9) + : : : : : : +- * ColumnarToRow (8) + : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : +- BroadcastExchange (27) + : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : :- * CometColumnarToRow (12) + : : : : : : +- CometFilter (11) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : +- BroadcastExchange (25) + : : : : : +- * Project (24) + : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : :- * Project (21) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : :- * Filter (15) + : : : : : : : +- * ColumnarToRow (14) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : +- BroadcastExchange (19) + : : : : : : +- * CometColumnarToRow (18) + : : : : : : +- CometFilter (17) + : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : +- ReusedExchange (22) + : : : : +- ReusedExchange (30) + : : : +- BroadcastExchange (46) + : : : +- * Project (45) + : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : :- * Project (42) + : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : :- * Filter (39) + : : : : : +- * ColumnarToRow (38) + : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : +- ReusedExchange (40) + : : : +- ReusedExchange (43) + : : +- BroadcastExchange (58) + : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : :- * CometColumnarToRow (55) + : : : +- CometFilter (54) + : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : +- ReusedExchange (56) + : +- ReusedExchange (61) + +- CometBroadcastExchange (83) + +- CometFilter (82) + +- CometHashAggregate (81) + +- CometColumnarExchange (80) + +- * HashAggregate (79) + +- * Project (78) + +- * BroadcastHashJoin Inner BuildRight (77) + :- * Project (75) + : +- * BroadcastHashJoin Inner BuildRight (74) + : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.store_sales (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (73) + +- ReusedExchange (76) (1) Scan parquet spark_catalog.default.store_sales @@ -189,7 +188,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 121] +(22) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -226,7 +225,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 121] +(30) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -286,7 +285,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 121] +(43) ReusedExchange [Reuses operator id: 120] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -370,7 +369,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 112] +(61) ReusedExchange [Reuses operator id: 111] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -394,380 +393,370 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 52] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 52] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.store_sales -Output [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.store_sales +Output [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#57), dynamicpruningexpression(ss_sold_date_sk#57 IN dynamicpruning#58)] +PartitionFilters: [isnotnull(ss_sold_date_sk#55), dynamicpruningexpression(ss_sold_date_sk#55 IN dynamicpruning#56)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] -(71) Filter [codegen id : 50] -Input [4]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57] -Condition : isnotnull(ss_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55] +Condition : isnotnull(ss_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#59] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#57] -(73) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [ss_item_sk#59] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [ss_item_sk#57] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(75) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_item_sk#54] -Right keys [1]: [i_item_sk#60] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_item_sk#52] +Right keys [1]: [i_item_sk#58] Join type: Inner Join condition: None -(76) Project [codegen id : 50] -Output [6]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [8]: [ss_item_sk#54, ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_item_sk#60, i_brand_id#61, i_class_id#62, i_category_id#63] +(75) Project [codegen id : 50] +Output [6]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [8]: [ss_item_sk#52, ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_item_sk#58, i_brand_id#59, i_class_id#60, i_category_id#61] -(77) ReusedExchange [Reuses operator id: 126] -Output [1]: [d_date_sk#64] +(76) ReusedExchange [Reuses operator id: 125] +Output [1]: [d_date_sk#62] -(78) BroadcastHashJoin [codegen id : 50] -Left keys [1]: [ss_sold_date_sk#57] -Right keys [1]: [d_date_sk#64] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [ss_sold_date_sk#55] +Right keys [1]: [d_date_sk#62] Join type: Inner Join condition: None -(79) Project [codegen id : 50] -Output [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Input [7]: [ss_quantity#55, ss_list_price#56, ss_sold_date_sk#57, i_brand_id#61, i_class_id#62, i_category_id#63, d_date_sk#64] - -(80) HashAggregate [codegen id : 50] -Input [5]: [ss_quantity#55, ss_list_price#56, i_brand_id#61, i_class_id#62, i_category_id#63] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [partial_sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#65, isEmpty#66, count#67] -Results [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Arguments: hashpartitioning(i_brand_id#61, i_class_id#62, i_category_id#63, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] - -(83) HashAggregate [codegen id : 51] -Input [6]: [i_brand_id#61, i_class_id#62, i_category_id#63, sum#68, isEmpty#69, count#70] -Keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Functions [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71, count(1)#72] -Results [6]: [store AS channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sum((cast(ss_quantity#55 as decimal(10,0)) * ss_list_price#56))#71 AS sales#74, count(1)#72 AS number_sales#75] - -(84) Filter [codegen id : 51] -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Condition : (isnotnull(sales#74) AND (cast(sales#74 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) BroadcastExchange -Input [6]: [channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: HashedRelationBroadcastMode(List(input[1, int, true], input[2, int, true], input[3, int, true]),false), [plan_id=11] - -(86) BroadcastHashJoin [codegen id : 52] -Left keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] -Right keys [3]: [i_brand_id#61, i_class_id#62, i_category_id#63] -Join type: Inner -Join condition: None +(78) Project [codegen id : 50] +Output [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Input [7]: [ss_quantity#53, ss_list_price#54, ss_sold_date_sk#55, i_brand_id#59, i_class_id#60, i_category_id#61, d_date_sk#62] + +(79) HashAggregate [codegen id : 50] +Input [5]: [ss_quantity#53, ss_list_price#54, i_brand_id#59, i_class_id#60, i_category_id#61] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [partial_sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#63, isEmpty#64, count#65] +Results [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Arguments: hashpartitioning(i_brand_id#59, i_class_id#60, i_category_id#61, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#59, i_class_id#60, i_category_id#61, sum#66, isEmpty#67, count#68] +Keys [3]: [i_brand_id#59, i_class_id#60, i_category_id#61] +Functions [2]: [sum((cast(ss_quantity#53 as decimal(10,0)) * ss_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Condition : (isnotnull(sales#70) AND (cast(sales#70 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) CometBroadcastExchange +Input [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(84) CometBroadcastHashJoin +Left output [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Right output [6]: [channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: [i_brand_id#37, i_class_id#38, i_category_id#39], [i_brand_id#59, i_class_id#60, i_category_id#61], Inner, BuildRight -(87) TakeOrderedAndProject -Input [12]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] -Arguments: 100, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51, channel#73, i_brand_id#61, i_class_id#62, i_category_id#63, sales#74, number_sales#75] +(85) CometTakeOrderedAndProject +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sales#48,number_sales#49,channel#69,i_brand_id#59,i_class_id#60,i_category_id#61,sales#70,number_sales#71]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71], 100, 0, [i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] + +(86) CometColumnarToRow [codegen id : 51] +Input [12]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49, channel#69, i_brand_id#59, i_class_id#60, i_category_id#61, sales#70, number_sales#71] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (107) -+- * CometColumnarToRow (106) - +- CometColumnarExchange (105) - +- * HashAggregate (104) - +- Union (103) - :- * Project (92) - : +- * BroadcastHashJoin Inner BuildRight (91) - : :- * ColumnarToRow (89) - : : +- Scan parquet spark_catalog.default.store_sales (88) - : +- ReusedExchange (90) - :- * Project (97) - : +- * BroadcastHashJoin Inner BuildRight (96) - : :- * ColumnarToRow (94) - : : +- Scan parquet spark_catalog.default.catalog_sales (93) - : +- ReusedExchange (95) - +- * Project (102) - +- * BroadcastHashJoin Inner BuildRight (101) - :- * ColumnarToRow (99) - : +- Scan parquet spark_catalog.default.web_sales (98) - +- ReusedExchange (100) - - -(88) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (106) ++- CometHashAggregate (105) + +- CometColumnarExchange (104) + +- * HashAggregate (103) + +- Union (102) + :- * Project (91) + : +- * BroadcastHashJoin Inner BuildRight (90) + : :- * ColumnarToRow (88) + : : +- Scan parquet spark_catalog.default.store_sales (87) + : +- ReusedExchange (89) + :- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * ColumnarToRow (93) + : : +- Scan parquet spark_catalog.default.catalog_sales (92) + : +- ReusedExchange (94) + +- * Project (101) + +- * BroadcastHashJoin Inner BuildRight (100) + :- * ColumnarToRow (98) + : +- Scan parquet spark_catalog.default.web_sales (97) + +- ReusedExchange (99) + + +(87) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#78), dynamicpruningexpression(ss_sold_date_sk#78 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#74), dynamicpruningexpression(ss_sold_date_sk#74 IN dynamicpruning#12)] ReadSchema: struct -(89) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78] +(88) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74] -(90) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#79] +(89) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#75] -(91) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#78] -Right keys [1]: [d_date_sk#79] +(90) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#74] +Right keys [1]: [d_date_sk#75] Join type: Inner Join condition: None -(92) Project [codegen id : 2] -Output [2]: [ss_quantity#76 AS quantity#80, ss_list_price#77 AS list_price#81] -Input [4]: [ss_quantity#76, ss_list_price#77, ss_sold_date_sk#78, d_date_sk#79] +(91) Project [codegen id : 2] +Output [2]: [ss_quantity#72 AS quantity#76, ss_list_price#73 AS list_price#77] +Input [4]: [ss_quantity#72, ss_list_price#73, ss_sold_date_sk#74, d_date_sk#75] -(93) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(92) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#84), dynamicpruningexpression(cs_sold_date_sk#84 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(cs_sold_date_sk#80), dynamicpruningexpression(cs_sold_date_sk#80 IN dynamicpruning#12)] ReadSchema: struct -(94) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84] +(93) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80] -(95) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#85] +(94) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#81] -(96) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#84] -Right keys [1]: [d_date_sk#85] +(95) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#80] +Right keys [1]: [d_date_sk#81] Join type: Inner Join condition: None -(97) Project [codegen id : 4] -Output [2]: [cs_quantity#82 AS quantity#86, cs_list_price#83 AS list_price#87] -Input [4]: [cs_quantity#82, cs_list_price#83, cs_sold_date_sk#84, d_date_sk#85] +(96) Project [codegen id : 4] +Output [2]: [cs_quantity#78 AS quantity#82, cs_list_price#79 AS list_price#83] +Input [4]: [cs_quantity#78, cs_list_price#79, cs_sold_date_sk#80, d_date_sk#81] -(98) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(97) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#90), dynamicpruningexpression(ws_sold_date_sk#90 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ws_sold_date_sk#86), dynamicpruningexpression(ws_sold_date_sk#86 IN dynamicpruning#12)] ReadSchema: struct -(99) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90] +(98) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86] -(100) ReusedExchange [Reuses operator id: 121] -Output [1]: [d_date_sk#91] +(99) ReusedExchange [Reuses operator id: 120] +Output [1]: [d_date_sk#87] -(101) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#90] -Right keys [1]: [d_date_sk#91] +(100) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#86] +Right keys [1]: [d_date_sk#87] Join type: Inner Join condition: None -(102) Project [codegen id : 6] -Output [2]: [ws_quantity#88 AS quantity#92, ws_list_price#89 AS list_price#93] -Input [4]: [ws_quantity#88, ws_list_price#89, ws_sold_date_sk#90, d_date_sk#91] +(101) Project [codegen id : 6] +Output [2]: [ws_quantity#84 AS quantity#88, ws_list_price#85 AS list_price#89] +Input [4]: [ws_quantity#84, ws_list_price#85, ws_sold_date_sk#86, d_date_sk#87] -(103) Union +(102) Union -(104) HashAggregate [codegen id : 7] -Input [2]: [quantity#80, list_price#81] +(103) HashAggregate [codegen id : 7] +Input [2]: [quantity#76, list_price#77] Keys: [] -Functions [1]: [partial_avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [2]: [sum#94, count#95] -Results [2]: [sum#96, count#97] - -(105) CometColumnarExchange -Input [2]: [sum#96, count#97] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +Functions [1]: [partial_avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] +Aggregate Attributes [2]: [sum#90, count#91] +Results [2]: [sum#92, count#93] -(106) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#96, count#97] +(104) CometColumnarExchange +Input [2]: [sum#92, count#93] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] -(107) HashAggregate [codegen id : 8] -Input [2]: [sum#96, count#97] +(105) CometHashAggregate +Input [2]: [sum#92, count#93] Keys: [] -Functions [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))] -Aggregate Attributes [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98] -Results [1]: [avg((cast(quantity#80 as decimal(10,0)) * list_price#81))#98 AS average_sales#99] +Functions [1]: [avg((cast(quantity#76 as decimal(10,0)) * list_price#77))] + +(106) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#94] -Subquery:2 Hosting operator id = 88 Hosting Expression = ss_sold_date_sk#78 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 87 Hosting Expression = ss_sold_date_sk#74 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 93 Hosting Expression = cs_sold_date_sk#84 IN dynamicpruning#12 +Subquery:3 Hosting operator id = 92 Hosting Expression = cs_sold_date_sk#80 IN dynamicpruning#12 -Subquery:4 Hosting operator id = 98 Hosting Expression = ws_sold_date_sk#90 IN dynamicpruning#12 +Subquery:4 Hosting operator id = 97 Hosting Expression = ws_sold_date_sk#86 IN dynamicpruning#12 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (112) -+- * CometColumnarToRow (111) - +- CometProject (110) - +- CometFilter (109) - +- CometNativeScan parquet spark_catalog.default.date_dim (108) +BroadcastExchange (111) ++- * CometColumnarToRow (110) + +- CometProject (109) + +- CometFilter (108) + +- CometNativeScan parquet spark_catalog.default.date_dim (107) -(108) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#40, d_week_seq#100] +(107) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#40, d_week_seq#95] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#101), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#96), IsNotNull(d_date_sk)] ReadSchema: struct -(109) CometFilter -Input [2]: [d_date_sk#40, d_week_seq#100] -Condition : ((isnotnull(d_week_seq#100) AND (d_week_seq#100 = ReusedSubquery Subquery scalar-subquery#101, [id=#102])) AND isnotnull(d_date_sk#40)) +(108) CometFilter +Input [2]: [d_date_sk#40, d_week_seq#95] +Condition : ((isnotnull(d_week_seq#95) AND (d_week_seq#95 = ReusedSubquery Subquery scalar-subquery#96, [id=#97])) AND isnotnull(d_date_sk#40)) -(110) CometProject -Input [2]: [d_date_sk#40, d_week_seq#100] +(109) CometProject +Input [2]: [d_date_sk#40, d_week_seq#95] Arguments: [d_date_sk#40], [d_date_sk#40] -(111) CometColumnarToRow [codegen id : 1] +(110) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(112) BroadcastExchange +(111) BroadcastExchange Input [1]: [d_date_sk#40] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -Subquery:6 Hosting operator id = 109 Hosting Expression = ReusedSubquery Subquery scalar-subquery#101, [id=#102] +Subquery:6 Hosting operator id = 108 Hosting Expression = ReusedSubquery Subquery scalar-subquery#96, [id=#97] -Subquery:7 Hosting operator id = 108 Hosting Expression = Subquery scalar-subquery#101, [id=#102] -* CometColumnarToRow (116) -+- CometProject (115) - +- CometFilter (114) - +- CometNativeScan parquet spark_catalog.default.date_dim (113) +Subquery:7 Hosting operator id = 107 Hosting Expression = Subquery scalar-subquery#96, [id=#97] +* CometColumnarToRow (115) ++- CometProject (114) + +- CometFilter (113) + +- CometNativeScan parquet spark_catalog.default.date_dim (112) -(113) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] +(112) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1999), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(114) CometFilter -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Condition : (((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND isnotnull(d_dom#106)) AND (d_year#104 = 1999)) AND (d_moy#105 = 12)) AND (d_dom#106 = 16)) +(113) CometFilter +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Condition : (((((isnotnull(d_year#99) AND isnotnull(d_moy#100)) AND isnotnull(d_dom#101)) AND (d_year#99 = 1999)) AND (d_moy#100 = 12)) AND (d_dom#101 = 16)) -(115) CometProject -Input [4]: [d_week_seq#103, d_year#104, d_moy#105, d_dom#106] -Arguments: [d_week_seq#103], [d_week_seq#103] +(114) CometProject +Input [4]: [d_week_seq#98, d_year#99, d_moy#100, d_dom#101] +Arguments: [d_week_seq#98], [d_week_seq#98] -(116) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#103] +(115) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#98] Subquery:8 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (121) -+- * CometColumnarToRow (120) - +- CometProject (119) - +- CometFilter (118) - +- CometNativeScan parquet spark_catalog.default.date_dim (117) +BroadcastExchange (120) ++- * CometColumnarToRow (119) + +- CometProject (118) + +- CometFilter (117) + +- CometNativeScan parquet spark_catalog.default.date_dim (116) -(117) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#107] +(116) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#102] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(118) CometFilter -Input [2]: [d_date_sk#24, d_year#107] -Condition : (((isnotnull(d_year#107) AND (d_year#107 >= 1998)) AND (d_year#107 <= 2000)) AND isnotnull(d_date_sk#24)) +(117) CometFilter +Input [2]: [d_date_sk#24, d_year#102] +Condition : (((isnotnull(d_year#102) AND (d_year#102 >= 1998)) AND (d_year#102 <= 2000)) AND isnotnull(d_date_sk#24)) -(119) CometProject -Input [2]: [d_date_sk#24, d_year#107] +(118) CometProject +Input [2]: [d_date_sk#24, d_year#102] Arguments: [d_date_sk#24], [d_date_sk#24] -(120) CometColumnarToRow [codegen id : 1] +(119) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(121) BroadcastExchange +(120) BroadcastExchange Input [1]: [d_date_sk#24] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] Subquery:9 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN dynamicpruning#12 Subquery:10 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:11 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:11 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:12 Hosting operator id = 69 Hosting Expression = ss_sold_date_sk#57 IN dynamicpruning#58 -BroadcastExchange (126) -+- * CometColumnarToRow (125) - +- CometProject (124) - +- CometFilter (123) - +- CometNativeScan parquet spark_catalog.default.date_dim (122) +Subquery:12 Hosting operator id = 68 Hosting Expression = ss_sold_date_sk#55 IN dynamicpruning#56 +BroadcastExchange (125) ++- * CometColumnarToRow (124) + +- CometProject (123) + +- CometFilter (122) + +- CometNativeScan parquet spark_catalog.default.date_dim (121) -(122) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#64, d_week_seq#108] +(121) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#62, d_week_seq#103] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#109), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_week_seq), EqualTo(d_week_seq,ScalarSubquery#104), IsNotNull(d_date_sk)] ReadSchema: struct -(123) CometFilter -Input [2]: [d_date_sk#64, d_week_seq#108] -Condition : ((isnotnull(d_week_seq#108) AND (d_week_seq#108 = ReusedSubquery Subquery scalar-subquery#109, [id=#110])) AND isnotnull(d_date_sk#64)) +(122) CometFilter +Input [2]: [d_date_sk#62, d_week_seq#103] +Condition : ((isnotnull(d_week_seq#103) AND (d_week_seq#103 = ReusedSubquery Subquery scalar-subquery#104, [id=#105])) AND isnotnull(d_date_sk#62)) -(124) CometProject -Input [2]: [d_date_sk#64, d_week_seq#108] -Arguments: [d_date_sk#64], [d_date_sk#64] +(123) CometProject +Input [2]: [d_date_sk#62, d_week_seq#103] +Arguments: [d_date_sk#62], [d_date_sk#62] -(125) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#64] +(124) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#62] -(126) BroadcastExchange -Input [1]: [d_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] +(125) BroadcastExchange +Input [1]: [d_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:13 Hosting operator id = 123 Hosting Expression = ReusedSubquery Subquery scalar-subquery#109, [id=#110] +Subquery:13 Hosting operator id = 122 Hosting Expression = ReusedSubquery Subquery scalar-subquery#104, [id=#105] -Subquery:14 Hosting operator id = 122 Hosting Expression = Subquery scalar-subquery#109, [id=#110] -* CometColumnarToRow (130) -+- CometProject (129) - +- CometFilter (128) - +- CometNativeScan parquet spark_catalog.default.date_dim (127) +Subquery:14 Hosting operator id = 121 Hosting Expression = Subquery scalar-subquery#104, [id=#105] +* CometColumnarToRow (129) ++- CometProject (128) + +- CometFilter (127) + +- CometNativeScan parquet spark_catalog.default.date_dim (126) -(127) CometNativeScan parquet spark_catalog.default.date_dim -Output [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] +(126) CometNativeScan parquet spark_catalog.default.date_dim +Output [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), IsNotNull(d_dom), EqualTo(d_year,1998), EqualTo(d_moy,12), EqualTo(d_dom,16)] ReadSchema: struct -(128) CometFilter -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Condition : (((((isnotnull(d_year#112) AND isnotnull(d_moy#113)) AND isnotnull(d_dom#114)) AND (d_year#112 = 1998)) AND (d_moy#113 = 12)) AND (d_dom#114 = 16)) +(127) CometFilter +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Condition : (((((isnotnull(d_year#107) AND isnotnull(d_moy#108)) AND isnotnull(d_dom#109)) AND (d_year#107 = 1998)) AND (d_moy#108 = 12)) AND (d_dom#109 = 16)) -(129) CometProject -Input [4]: [d_week_seq#111, d_year#112, d_moy#113, d_dom#114] -Arguments: [d_week_seq#111], [d_week_seq#111] +(128) CometProject +Input [4]: [d_week_seq#106, d_year#107, d_moy#108, d_dom#109] +Arguments: [d_week_seq#106], [d_week_seq#106] -(130) CometColumnarToRow [codegen id : 1] -Input [1]: [d_week_seq#111] +(129) CometColumnarToRow [codegen id : 1] +Input [1]: [d_week_seq#106] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/extended.txt index e44d85bdc2..511a236df8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/extended.txt @@ -1,229 +1,228 @@ -TakeOrderedAndProject -+- BroadcastHashJoin - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : : +- ReusedSubquery - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Subquery - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : : +- ReusedSubquery - : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Subquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Filter - : +- ReusedSubquery - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometBroadcastHashJoin + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : : +- ReusedSubquery + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Subquery + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : : +- ReusedSubquery + : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- Subquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -405,4 +404,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 128 out of 337 eligible operators (37%). Final plan contains 69 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 136 out of 337 eligible operators (40%). Final plan contains 68 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/simplified.txt index cc02a716ea..6d55890425 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14.native_datafusion/simplified.txt @@ -1,47 +1,47 @@ -TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] - WholeStageCodegen (52) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] - Filter [sales] - Subquery #4 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #3 - InputAdapter - ReusedExchange [d_date_sk] #6 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (51) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometBroadcastHashJoin [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #4 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #12 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #3 + InputAdapter + ReusedExchange [d_date_sk] #6 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #1 WholeStageCodegen (25) HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] @@ -164,45 +164,41 @@ TakeOrderedAndProject [i_brand_id,i_class_id,i_category_id,channel,sales,number_ ReusedExchange [ss_item_sk] #3 InputAdapter ReusedExchange [d_date_sk] #2 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (51) - Filter [sales] + CometBroadcastExchange [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] #13 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] ReusedSubquery [average_sales] #4 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 - WholeStageCodegen (50) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #5 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_week_seq] - ReusedSubquery [d_week_seq] #6 - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] - Subquery #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_week_seq] - CometFilter [d_week_seq,d_year,d_moy,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #14 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [ss_item_sk] #3 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #5 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_week_seq] + ReusedSubquery [d_week_seq] #6 + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_week_seq] + Subquery #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_week_seq] + CometFilter [d_week_seq,d_year,d_moy,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_week_seq,d_year,d_moy,d_dom] + InputAdapter + ReusedExchange [ss_item_sk] #3 InputAdapter - ReusedExchange [d_date_sk] #15 + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 + InputAdapter + ReusedExchange [d_date_sk] #15 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/explain.txt index d17a5a745a..b6fd880110 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/explain.txt @@ -1,143 +1,131 @@ == Physical Plan == -* CometColumnarToRow (139) -+- CometTakeOrderedAndProject (138) - +- CometHashAggregate (137) - +- CometColumnarExchange (136) - +- * HashAggregate (135) - +- Union (134) - :- * HashAggregate (105) - : +- * CometColumnarToRow (104) - : +- CometColumnarExchange (103) - : +- * HashAggregate (102) - : +- Union (101) - : :- * Filter (68) - : : +- * HashAggregate (67) - : : +- * CometColumnarToRow (66) - : : +- CometColumnarExchange (65) - : : +- * HashAggregate (64) - : : +- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (51) - : : : : +- * Project (50) - : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : :- * CometColumnarToRow (6) - : : : : : +- CometFilter (5) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) - : : : : +- BroadcastExchange (48) - : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) - : : : : :- * CometColumnarToRow (36) - : : : : : +- CometHashAggregate (35) - : : : : : +- CometColumnarExchange (34) - : : : : : +- * HashAggregate (33) - : : : : : +- * Project (32) - : : : : : +- * BroadcastHashJoin Inner BuildRight (31) - : : : : : :- * Project (29) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) - : : : : : : :- * Filter (9) - : : : : : : : +- * ColumnarToRow (8) - : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) - : : : : : : +- BroadcastExchange (27) - : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) - : : : : : : :- * CometColumnarToRow (12) - : : : : : : : +- CometFilter (11) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) - : : : : : : +- BroadcastExchange (25) - : : : : : : +- * Project (24) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) - : : : : : : :- * Project (21) - : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) - : : : : : : : :- * Filter (15) - : : : : : : : : +- * ColumnarToRow (14) - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) - : : : : : : : +- BroadcastExchange (19) - : : : : : : : +- * CometColumnarToRow (18) - : : : : : : : +- CometFilter (17) - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) - : : : : : : +- ReusedExchange (22) - : : : : : +- ReusedExchange (30) - : : : : +- BroadcastExchange (46) - : : : : +- * Project (45) - : : : : +- * BroadcastHashJoin Inner BuildRight (44) - : : : : :- * Project (42) - : : : : : +- * BroadcastHashJoin Inner BuildRight (41) - : : : : : :- * Filter (39) - : : : : : : +- * ColumnarToRow (38) - : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) - : : : : : +- ReusedExchange (40) - : : : : +- ReusedExchange (43) - : : : +- BroadcastExchange (58) - : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) - : : : :- * CometColumnarToRow (55) - : : : : +- CometFilter (54) - : : : : +- CometNativeScan parquet spark_catalog.default.item (53) - : : : +- ReusedExchange (56) - : : +- ReusedExchange (61) - : :- * Filter (84) - : : +- * HashAggregate (83) - : : +- * CometColumnarToRow (82) - : : +- CometColumnarExchange (81) - : : +- * HashAggregate (80) - : : +- * Project (79) - : : +- * BroadcastHashJoin Inner BuildRight (78) - : : :- * Project (76) - : : : +- * BroadcastHashJoin Inner BuildRight (75) - : : : :- * BroadcastHashJoin LeftSemi BuildRight (73) - : : : : :- * Filter (71) - : : : : : +- * ColumnarToRow (70) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (69) - : : : : +- ReusedExchange (72) - : : : +- ReusedExchange (74) - : : +- ReusedExchange (77) - : +- * Filter (100) - : +- * HashAggregate (99) - : +- * CometColumnarToRow (98) - : +- CometColumnarExchange (97) - : +- * HashAggregate (96) - : +- * Project (95) - : +- * BroadcastHashJoin Inner BuildRight (94) - : :- * Project (92) - : : +- * BroadcastHashJoin Inner BuildRight (91) - : : :- * BroadcastHashJoin LeftSemi BuildRight (89) - : : : :- * Filter (87) - : : : : +- * ColumnarToRow (86) - : : : : +- Scan parquet spark_catalog.default.web_sales (85) - : : : +- ReusedExchange (88) - : : +- ReusedExchange (90) - : +- ReusedExchange (93) - :- * HashAggregate (112) - : +- * CometColumnarToRow (111) - : +- CometColumnarExchange (110) - : +- * HashAggregate (109) - : +- * HashAggregate (108) - : +- * CometColumnarToRow (107) - : +- ReusedExchange (106) - :- * HashAggregate (119) - : +- * CometColumnarToRow (118) - : +- CometColumnarExchange (117) - : +- * HashAggregate (116) - : +- * HashAggregate (115) - : +- * CometColumnarToRow (114) - : +- ReusedExchange (113) - :- * HashAggregate (126) - : +- * CometColumnarToRow (125) - : +- CometColumnarExchange (124) - : +- * HashAggregate (123) - : +- * HashAggregate (122) - : +- * CometColumnarToRow (121) - : +- ReusedExchange (120) - +- * HashAggregate (133) - +- * CometColumnarToRow (132) - +- CometColumnarExchange (131) - +- * HashAggregate (130) - +- * HashAggregate (129) - +- * CometColumnarToRow (128) - +- ReusedExchange (127) +* CometColumnarToRow (127) ++- CometTakeOrderedAndProject (126) + +- CometHashAggregate (125) + +- CometExchange (124) + +- CometHashAggregate (123) + +- CometUnion (122) + :- CometHashAggregate (101) + : +- CometExchange (100) + : +- CometHashAggregate (99) + : +- CometUnion (98) + : :- CometFilter (67) + : : +- CometHashAggregate (66) + : : +- CometColumnarExchange (65) + : : +- * HashAggregate (64) + : : +- * Project (63) + : : +- * BroadcastHashJoin Inner BuildRight (62) + : : :- * Project (60) + : : : +- * BroadcastHashJoin Inner BuildRight (59) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (52) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (51) + : : : : +- * Project (50) + : : : : +- * BroadcastHashJoin Inner BuildRight (49) + : : : : :- * CometColumnarToRow (6) + : : : : : +- CometFilter (5) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (4) + : : : : +- BroadcastExchange (48) + : : : : +- * BroadcastHashJoin LeftSemi BuildRight (47) + : : : : :- * CometColumnarToRow (36) + : : : : : +- CometHashAggregate (35) + : : : : : +- CometColumnarExchange (34) + : : : : : +- * HashAggregate (33) + : : : : : +- * Project (32) + : : : : : +- * BroadcastHashJoin Inner BuildRight (31) + : : : : : :- * Project (29) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (28) + : : : : : : :- * Filter (9) + : : : : : : : +- * ColumnarToRow (8) + : : : : : : : +- Scan parquet spark_catalog.default.store_sales (7) + : : : : : : +- BroadcastExchange (27) + : : : : : : +- * BroadcastHashJoin LeftSemi BuildRight (26) + : : : : : : :- * CometColumnarToRow (12) + : : : : : : : +- CometFilter (11) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (10) + : : : : : : +- BroadcastExchange (25) + : : : : : : +- * Project (24) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (23) + : : : : : : :- * Project (21) + : : : : : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : : : : : :- * Filter (15) + : : : : : : : : +- * ColumnarToRow (14) + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (13) + : : : : : : : +- BroadcastExchange (19) + : : : : : : : +- * CometColumnarToRow (18) + : : : : : : : +- CometFilter (17) + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item (16) + : : : : : : +- ReusedExchange (22) + : : : : : +- ReusedExchange (30) + : : : : +- BroadcastExchange (46) + : : : : +- * Project (45) + : : : : +- * BroadcastHashJoin Inner BuildRight (44) + : : : : :- * Project (42) + : : : : : +- * BroadcastHashJoin Inner BuildRight (41) + : : : : : :- * Filter (39) + : : : : : : +- * ColumnarToRow (38) + : : : : : : +- Scan parquet spark_catalog.default.web_sales (37) + : : : : : +- ReusedExchange (40) + : : : : +- ReusedExchange (43) + : : : +- BroadcastExchange (58) + : : : +- * BroadcastHashJoin LeftSemi BuildRight (57) + : : : :- * CometColumnarToRow (55) + : : : : +- CometFilter (54) + : : : : +- CometNativeScan parquet spark_catalog.default.item (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (61) + : :- CometFilter (82) + : : +- CometHashAggregate (81) + : : +- CometColumnarExchange (80) + : : +- * HashAggregate (79) + : : +- * Project (78) + : : +- * BroadcastHashJoin Inner BuildRight (77) + : : :- * Project (75) + : : : +- * BroadcastHashJoin Inner BuildRight (74) + : : : :- * BroadcastHashJoin LeftSemi BuildRight (72) + : : : : :- * Filter (70) + : : : : : +- * ColumnarToRow (69) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (68) + : : : : +- ReusedExchange (71) + : : : +- ReusedExchange (73) + : : +- ReusedExchange (76) + : +- CometFilter (97) + : +- CometHashAggregate (96) + : +- CometColumnarExchange (95) + : +- * HashAggregate (94) + : +- * Project (93) + : +- * BroadcastHashJoin Inner BuildRight (92) + : :- * Project (90) + : : +- * BroadcastHashJoin Inner BuildRight (89) + : : :- * BroadcastHashJoin LeftSemi BuildRight (87) + : : : :- * Filter (85) + : : : : +- * ColumnarToRow (84) + : : : : +- Scan parquet spark_catalog.default.web_sales (83) + : : : +- ReusedExchange (86) + : : +- ReusedExchange (88) + : +- ReusedExchange (91) + :- CometHashAggregate (106) + : +- CometExchange (105) + : +- CometHashAggregate (104) + : +- CometHashAggregate (103) + : +- ReusedExchange (102) + :- CometHashAggregate (111) + : +- CometExchange (110) + : +- CometHashAggregate (109) + : +- CometHashAggregate (108) + : +- ReusedExchange (107) + :- CometHashAggregate (116) + : +- CometExchange (115) + : +- CometHashAggregate (114) + : +- CometHashAggregate (113) + : +- ReusedExchange (112) + +- CometHashAggregate (121) + +- CometExchange (120) + +- CometHashAggregate (119) + +- CometHashAggregate (118) + +- ReusedExchange (117) (1) Scan parquet spark_catalog.default.store_sales @@ -241,7 +229,7 @@ Join condition: None Output [4]: [cs_sold_date_sk#18, i_brand_id#20, i_class_id#21, i_category_id#22] Input [6]: [cs_item_sk#17, cs_sold_date_sk#18, i_item_sk#19, i_brand_id#20, i_class_id#21, i_category_id#22] -(22) ReusedExchange [Reuses operator id: 174] +(22) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#23] (23) BroadcastHashJoin [codegen id : 3] @@ -278,7 +266,7 @@ Join condition: None Output [4]: [ss_sold_date_sk#11, i_brand_id#14, i_class_id#15, i_category_id#16] Input [6]: [ss_item_sk#10, ss_sold_date_sk#11, i_item_sk#13, i_brand_id#14, i_class_id#15, i_category_id#16] -(30) ReusedExchange [Reuses operator id: 174] +(30) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#24] (31) BroadcastHashJoin [codegen id : 6] @@ -338,7 +326,7 @@ Join condition: None Output [4]: [ws_sold_date_sk#29, i_brand_id#31, i_class_id#32, i_category_id#33] Input [6]: [ws_item_sk#28, ws_sold_date_sk#29, i_item_sk#30, i_brand_id#31, i_class_id#32, i_category_id#33] -(43) ReusedExchange [Reuses operator id: 174] +(43) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#34] (44) BroadcastHashJoin [codegen id : 9] @@ -422,7 +410,7 @@ Join condition: None Output [6]: [ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_brand_id#37, i_class_id#38, i_category_id#39] Input [8]: [ss_item_sk#1, ss_quantity#2, ss_list_price#3, ss_sold_date_sk#4, i_item_sk#36, i_brand_id#37, i_class_id#38, i_category_id#39] -(61) ReusedExchange [Reuses operator id: 169] +(61) ReusedExchange [Reuses operator id: 157] Output [1]: [d_date_sk#40] (62) BroadcastHashJoin [codegen id : 25] @@ -446,562 +434,496 @@ Results [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45 Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Arguments: hashpartitioning(i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(66) CometColumnarToRow [codegen id : 26] -Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] - -(67) HashAggregate [codegen id : 26] +(66) CometHashAggregate Input [6]: [i_brand_id#37, i_class_id#38, i_category_id#39, sum#44, isEmpty#45, count#46] Keys [3]: [i_brand_id#37, i_class_id#38, i_category_id#39] Functions [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3)), count(1)] -Aggregate Attributes [2]: [sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47, count(1)#48] -Results [6]: [store AS channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum((cast(ss_quantity#2 as decimal(10,0)) * ss_list_price#3))#47 AS sales#50, count(1)#48 AS number_sales#51] -(68) Filter [codegen id : 26] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Condition : (isnotnull(sales#50) AND (cast(sales#50 as decimal(32,6)) > cast(Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) +(67) CometFilter +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Condition : (isnotnull(sales#48) AND (cast(sales#48 as decimal(32,6)) > cast(Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) -(69) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(68) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#57), dynamicpruningexpression(cs_sold_date_sk#57 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#55), dynamicpruningexpression(cs_sold_date_sk#55 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_item_sk)] ReadSchema: struct -(70) ColumnarToRow [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] +(69) ColumnarToRow [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] -(71) Filter [codegen id : 51] -Input [4]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57] -Condition : isnotnull(cs_item_sk#54) +(70) Filter [codegen id : 50] +Input [4]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55] +Condition : isnotnull(cs_item_sk#52) -(72) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#58] +(71) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#56] -(73) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] -Right keys [1]: [ss_item_sk#58] +(72) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] +Right keys [1]: [ss_item_sk#56] Join type: LeftSemi Join condition: None -(74) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(73) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(75) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_item_sk#54] -Right keys [1]: [i_item_sk#59] +(74) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_item_sk#52] +Right keys [1]: [i_item_sk#57] Join type: Inner Join condition: None -(76) Project [codegen id : 51] -Output [6]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [8]: [cs_item_sk#54, cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_item_sk#59, i_brand_id#60, i_class_id#61, i_category_id#62] +(75) Project [codegen id : 50] +Output [6]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [8]: [cs_item_sk#52, cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_item_sk#57, i_brand_id#58, i_class_id#59, i_category_id#60] -(77) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#63] +(76) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#61] -(78) BroadcastHashJoin [codegen id : 51] -Left keys [1]: [cs_sold_date_sk#57] -Right keys [1]: [d_date_sk#63] +(77) BroadcastHashJoin [codegen id : 50] +Left keys [1]: [cs_sold_date_sk#55] +Right keys [1]: [d_date_sk#61] Join type: Inner Join condition: None -(79) Project [codegen id : 51] -Output [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Input [7]: [cs_quantity#55, cs_list_price#56, cs_sold_date_sk#57, i_brand_id#60, i_class_id#61, i_category_id#62, d_date_sk#63] - -(80) HashAggregate [codegen id : 51] -Input [5]: [cs_quantity#55, cs_list_price#56, i_brand_id#60, i_class_id#61, i_category_id#62] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [partial_sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), partial_count(1)] -Aggregate Attributes [3]: [sum#64, isEmpty#65, count#66] -Results [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(81) CometColumnarExchange -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Arguments: hashpartitioning(i_brand_id#60, i_class_id#61, i_category_id#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(82) CometColumnarToRow [codegen id : 52] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] - -(83) HashAggregate [codegen id : 52] -Input [6]: [i_brand_id#60, i_class_id#61, i_category_id#62, sum#67, isEmpty#68, count#69] -Keys [3]: [i_brand_id#60, i_class_id#61, i_category_id#62] -Functions [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56)), count(1)] -Aggregate Attributes [2]: [sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#70, count(1)#71] -Results [6]: [catalog AS channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sum((cast(cs_quantity#55 as decimal(10,0)) * cs_list_price#56))#70 AS sales#73, count(1)#71 AS number_sales#74] - -(84) Filter [codegen id : 52] -Input [6]: [channel#72, i_brand_id#60, i_class_id#61, i_category_id#62, sales#73, number_sales#74] -Condition : (isnotnull(sales#73) AND (cast(sales#73 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(85) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] +(78) Project [codegen id : 50] +Output [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Input [7]: [cs_quantity#53, cs_list_price#54, cs_sold_date_sk#55, i_brand_id#58, i_class_id#59, i_category_id#60, d_date_sk#61] + +(79) HashAggregate [codegen id : 50] +Input [5]: [cs_quantity#53, cs_list_price#54, i_brand_id#58, i_class_id#59, i_category_id#60] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [partial_sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), partial_count(1)] +Aggregate Attributes [3]: [sum#62, isEmpty#63, count#64] +Results [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] + +(80) CometColumnarExchange +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Arguments: hashpartitioning(i_brand_id#58, i_class_id#59, i_category_id#60, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(81) CometHashAggregate +Input [6]: [i_brand_id#58, i_class_id#59, i_category_id#60, sum#65, isEmpty#66, count#67] +Keys [3]: [i_brand_id#58, i_class_id#59, i_category_id#60] +Functions [2]: [sum((cast(cs_quantity#53 as decimal(10,0)) * cs_list_price#54)), count(1)] + +(82) CometFilter +Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Condition : (isnotnull(sales#69) AND (cast(sales#69 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(83) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#78), dynamicpruningexpression(ws_sold_date_sk#78 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#74), dynamicpruningexpression(ws_sold_date_sk#74 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_item_sk)] ReadSchema: struct -(86) ColumnarToRow [codegen id : 77] -Input [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] +(84) ColumnarToRow [codegen id : 75] +Input [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] -(87) Filter [codegen id : 77] -Input [4]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78] -Condition : isnotnull(ws_item_sk#75) +(85) Filter [codegen id : 75] +Input [4]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74] +Condition : isnotnull(ws_item_sk#71) -(88) ReusedExchange [Reuses operator id: 51] -Output [1]: [ss_item_sk#79] +(86) ReusedExchange [Reuses operator id: 51] +Output [1]: [ss_item_sk#75] -(89) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#75] -Right keys [1]: [ss_item_sk#79] +(87) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#71] +Right keys [1]: [ss_item_sk#75] Join type: LeftSemi Join condition: None -(90) ReusedExchange [Reuses operator id: 58] -Output [4]: [i_item_sk#80, i_brand_id#81, i_class_id#82, i_category_id#83] +(88) ReusedExchange [Reuses operator id: 58] +Output [4]: [i_item_sk#76, i_brand_id#77, i_class_id#78, i_category_id#79] -(91) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_item_sk#75] -Right keys [1]: [i_item_sk#80] +(89) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_item_sk#71] +Right keys [1]: [i_item_sk#76] Join type: Inner Join condition: None -(92) Project [codegen id : 77] -Output [6]: [ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_brand_id#81, i_class_id#82, i_category_id#83] -Input [8]: [ws_item_sk#75, ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_item_sk#80, i_brand_id#81, i_class_id#82, i_category_id#83] +(90) Project [codegen id : 75] +Output [6]: [ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_brand_id#77, i_class_id#78, i_category_id#79] +Input [8]: [ws_item_sk#71, ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_item_sk#76, i_brand_id#77, i_class_id#78, i_category_id#79] -(93) ReusedExchange [Reuses operator id: 169] -Output [1]: [d_date_sk#84] +(91) ReusedExchange [Reuses operator id: 157] +Output [1]: [d_date_sk#80] -(94) BroadcastHashJoin [codegen id : 77] -Left keys [1]: [ws_sold_date_sk#78] -Right keys [1]: [d_date_sk#84] +(92) BroadcastHashJoin [codegen id : 75] +Left keys [1]: [ws_sold_date_sk#74] +Right keys [1]: [d_date_sk#80] Join type: Inner Join condition: None -(95) Project [codegen id : 77] -Output [5]: [ws_quantity#76, ws_list_price#77, i_brand_id#81, i_class_id#82, i_category_id#83] -Input [7]: [ws_quantity#76, ws_list_price#77, ws_sold_date_sk#78, i_brand_id#81, i_class_id#82, i_category_id#83, d_date_sk#84] - -(96) HashAggregate [codegen id : 77] -Input [5]: [ws_quantity#76, ws_list_price#77, i_brand_id#81, i_class_id#82, i_category_id#83] -Keys [3]: [i_brand_id#81, i_class_id#82, i_category_id#83] -Functions [2]: [partial_sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77)), partial_count(1)] -Aggregate Attributes [3]: [sum#85, isEmpty#86, count#87] -Results [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] - -(97) CometColumnarExchange -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] -Arguments: hashpartitioning(i_brand_id#81, i_class_id#82, i_category_id#83, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] - -(98) CometColumnarToRow [codegen id : 78] -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] - -(99) HashAggregate [codegen id : 78] -Input [6]: [i_brand_id#81, i_class_id#82, i_category_id#83, sum#88, isEmpty#89, count#90] -Keys [3]: [i_brand_id#81, i_class_id#82, i_category_id#83] -Functions [2]: [sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77)), count(1)] -Aggregate Attributes [2]: [sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77))#91, count(1)#92] -Results [6]: [web AS channel#93, i_brand_id#81, i_class_id#82, i_category_id#83, sum((cast(ws_quantity#76 as decimal(10,0)) * ws_list_price#77))#91 AS sales#94, count(1)#92 AS number_sales#95] - -(100) Filter [codegen id : 78] -Input [6]: [channel#93, i_brand_id#81, i_class_id#82, i_category_id#83, sales#94, number_sales#95] -Condition : (isnotnull(sales#94) AND (cast(sales#94 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#52, [id=#53] as decimal(32,6)))) - -(101) Union - -(102) HashAggregate [codegen id : 79] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sales#50, number_sales#51] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [partial_sum(sales#50), partial_sum(number_sales#51)] -Aggregate Attributes [3]: [sum#96, isEmpty#97, sum#98] -Results [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] - -(103) CometColumnarExchange -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(104) CometColumnarToRow [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] - -(105) HashAggregate [codegen id : 80] -Input [7]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum#99, isEmpty#100, sum#101] -Keys [4]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39] -Functions [2]: [sum(sales#50), sum(number_sales#51)] -Aggregate Attributes [2]: [sum(sales#50)#102, sum(number_sales#51)#103] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum(sales#50)#102 AS sum_sales#104, sum(number_sales#51)#103 AS number_sales#105] - -(106) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#106, i_brand_id#107, i_class_id#108, i_category_id#109, sum#110, isEmpty#111, sum#112] - -(107) CometColumnarToRow [codegen id : 160] -Input [7]: [channel#106, i_brand_id#107, i_class_id#108, i_category_id#109, sum#110, isEmpty#111, sum#112] - -(108) HashAggregate [codegen id : 160] -Input [7]: [channel#106, i_brand_id#107, i_class_id#108, i_category_id#109, sum#110, isEmpty#111, sum#112] -Keys [4]: [channel#106, i_brand_id#107, i_class_id#108, i_category_id#109] -Functions [2]: [sum(sales#113), sum(number_sales#114)] -Aggregate Attributes [2]: [sum(sales#113)#102, sum(number_sales#114)#103] -Results [5]: [channel#106, i_brand_id#107, i_class_id#108, sum(sales#113)#102 AS sum_sales#115, sum(number_sales#114)#103 AS number_sales#116] - -(109) HashAggregate [codegen id : 160] -Input [5]: [channel#106, i_brand_id#107, i_class_id#108, sum_sales#115, number_sales#116] -Keys [3]: [channel#106, i_brand_id#107, i_class_id#108] -Functions [2]: [partial_sum(sum_sales#115), partial_sum(number_sales#116)] -Aggregate Attributes [3]: [sum#117, isEmpty#118, sum#119] -Results [6]: [channel#106, i_brand_id#107, i_class_id#108, sum#120, isEmpty#121, sum#122] - -(110) CometColumnarExchange -Input [6]: [channel#106, i_brand_id#107, i_class_id#108, sum#120, isEmpty#121, sum#122] -Arguments: hashpartitioning(channel#106, i_brand_id#107, i_class_id#108, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(111) CometColumnarToRow [codegen id : 161] -Input [6]: [channel#106, i_brand_id#107, i_class_id#108, sum#120, isEmpty#121, sum#122] - -(112) HashAggregate [codegen id : 161] -Input [6]: [channel#106, i_brand_id#107, i_class_id#108, sum#120, isEmpty#121, sum#122] -Keys [3]: [channel#106, i_brand_id#107, i_class_id#108] -Functions [2]: [sum(sum_sales#115), sum(number_sales#116)] -Aggregate Attributes [2]: [sum(sum_sales#115)#123, sum(number_sales#116)#124] -Results [6]: [channel#106, i_brand_id#107, i_class_id#108, null AS i_category_id#125, sum(sum_sales#115)#123 AS sum(sum_sales)#126, sum(number_sales#116)#124 AS sum(number_sales)#127] - -(113) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#128, i_brand_id#129, i_class_id#130, i_category_id#131, sum#132, isEmpty#133, sum#134] - -(114) CometColumnarToRow [codegen id : 241] -Input [7]: [channel#128, i_brand_id#129, i_class_id#130, i_category_id#131, sum#132, isEmpty#133, sum#134] - -(115) HashAggregate [codegen id : 241] -Input [7]: [channel#128, i_brand_id#129, i_class_id#130, i_category_id#131, sum#132, isEmpty#133, sum#134] -Keys [4]: [channel#128, i_brand_id#129, i_class_id#130, i_category_id#131] -Functions [2]: [sum(sales#135), sum(number_sales#136)] -Aggregate Attributes [2]: [sum(sales#135)#102, sum(number_sales#136)#103] -Results [4]: [channel#128, i_brand_id#129, sum(sales#135)#102 AS sum_sales#137, sum(number_sales#136)#103 AS number_sales#138] - -(116) HashAggregate [codegen id : 241] -Input [4]: [channel#128, i_brand_id#129, sum_sales#137, number_sales#138] -Keys [2]: [channel#128, i_brand_id#129] -Functions [2]: [partial_sum(sum_sales#137), partial_sum(number_sales#138)] -Aggregate Attributes [3]: [sum#139, isEmpty#140, sum#141] -Results [5]: [channel#128, i_brand_id#129, sum#142, isEmpty#143, sum#144] - -(117) CometColumnarExchange -Input [5]: [channel#128, i_brand_id#129, sum#142, isEmpty#143, sum#144] -Arguments: hashpartitioning(channel#128, i_brand_id#129, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] - -(118) CometColumnarToRow [codegen id : 242] -Input [5]: [channel#128, i_brand_id#129, sum#142, isEmpty#143, sum#144] - -(119) HashAggregate [codegen id : 242] -Input [5]: [channel#128, i_brand_id#129, sum#142, isEmpty#143, sum#144] -Keys [2]: [channel#128, i_brand_id#129] -Functions [2]: [sum(sum_sales#137), sum(number_sales#138)] -Aggregate Attributes [2]: [sum(sum_sales#137)#145, sum(number_sales#138)#146] -Results [6]: [channel#128, i_brand_id#129, null AS i_class_id#147, null AS i_category_id#148, sum(sum_sales#137)#145 AS sum(sum_sales)#149, sum(number_sales#138)#146 AS sum(number_sales)#150] - -(120) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#151, i_brand_id#152, i_class_id#153, i_category_id#154, sum#155, isEmpty#156, sum#157] - -(121) CometColumnarToRow [codegen id : 322] -Input [7]: [channel#151, i_brand_id#152, i_class_id#153, i_category_id#154, sum#155, isEmpty#156, sum#157] - -(122) HashAggregate [codegen id : 322] -Input [7]: [channel#151, i_brand_id#152, i_class_id#153, i_category_id#154, sum#155, isEmpty#156, sum#157] -Keys [4]: [channel#151, i_brand_id#152, i_class_id#153, i_category_id#154] -Functions [2]: [sum(sales#158), sum(number_sales#159)] -Aggregate Attributes [2]: [sum(sales#158)#102, sum(number_sales#159)#103] -Results [3]: [channel#151, sum(sales#158)#102 AS sum_sales#160, sum(number_sales#159)#103 AS number_sales#161] - -(123) HashAggregate [codegen id : 322] -Input [3]: [channel#151, sum_sales#160, number_sales#161] -Keys [1]: [channel#151] -Functions [2]: [partial_sum(sum_sales#160), partial_sum(number_sales#161)] -Aggregate Attributes [3]: [sum#162, isEmpty#163, sum#164] -Results [4]: [channel#151, sum#165, isEmpty#166, sum#167] - -(124) CometColumnarExchange -Input [4]: [channel#151, sum#165, isEmpty#166, sum#167] -Arguments: hashpartitioning(channel#151, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] - -(125) CometColumnarToRow [codegen id : 323] -Input [4]: [channel#151, sum#165, isEmpty#166, sum#167] - -(126) HashAggregate [codegen id : 323] -Input [4]: [channel#151, sum#165, isEmpty#166, sum#167] -Keys [1]: [channel#151] -Functions [2]: [sum(sum_sales#160), sum(number_sales#161)] -Aggregate Attributes [2]: [sum(sum_sales#160)#168, sum(number_sales#161)#169] -Results [6]: [channel#151, null AS i_brand_id#170, null AS i_class_id#171, null AS i_category_id#172, sum(sum_sales#160)#168 AS sum(sum_sales)#173, sum(number_sales#161)#169 AS sum(number_sales)#174] - -(127) ReusedExchange [Reuses operator id: 103] -Output [7]: [channel#175, i_brand_id#176, i_class_id#177, i_category_id#178, sum#179, isEmpty#180, sum#181] - -(128) CometColumnarToRow [codegen id : 403] -Input [7]: [channel#175, i_brand_id#176, i_class_id#177, i_category_id#178, sum#179, isEmpty#180, sum#181] - -(129) HashAggregate [codegen id : 403] -Input [7]: [channel#175, i_brand_id#176, i_class_id#177, i_category_id#178, sum#179, isEmpty#180, sum#181] -Keys [4]: [channel#175, i_brand_id#176, i_class_id#177, i_category_id#178] -Functions [2]: [sum(sales#182), sum(number_sales#183)] -Aggregate Attributes [2]: [sum(sales#182)#102, sum(number_sales#183)#103] -Results [2]: [sum(sales#182)#102 AS sum_sales#184, sum(number_sales#183)#103 AS number_sales#185] - -(130) HashAggregate [codegen id : 403] -Input [2]: [sum_sales#184, number_sales#185] +(93) Project [codegen id : 75] +Output [5]: [ws_quantity#72, ws_list_price#73, i_brand_id#77, i_class_id#78, i_category_id#79] +Input [7]: [ws_quantity#72, ws_list_price#73, ws_sold_date_sk#74, i_brand_id#77, i_class_id#78, i_category_id#79, d_date_sk#80] + +(94) HashAggregate [codegen id : 75] +Input [5]: [ws_quantity#72, ws_list_price#73, i_brand_id#77, i_class_id#78, i_category_id#79] +Keys [3]: [i_brand_id#77, i_class_id#78, i_category_id#79] +Functions [2]: [partial_sum((cast(ws_quantity#72 as decimal(10,0)) * ws_list_price#73)), partial_count(1)] +Aggregate Attributes [3]: [sum#81, isEmpty#82, count#83] +Results [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] + +(95) CometColumnarExchange +Input [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] +Arguments: hashpartitioning(i_brand_id#77, i_class_id#78, i_category_id#79, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] + +(96) CometHashAggregate +Input [6]: [i_brand_id#77, i_class_id#78, i_category_id#79, sum#84, isEmpty#85, count#86] +Keys [3]: [i_brand_id#77, i_class_id#78, i_category_id#79] +Functions [2]: [sum((cast(ws_quantity#72 as decimal(10,0)) * ws_list_price#73)), count(1)] + +(97) CometFilter +Input [6]: [channel#87, i_brand_id#77, i_class_id#78, i_category_id#79, sales#88, number_sales#89] +Condition : (isnotnull(sales#88) AND (cast(sales#88 as decimal(32,6)) > cast(ReusedSubquery Subquery scalar-subquery#50, [id=#51] as decimal(32,6)))) + +(98) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Child 1 Input [6]: [channel#68, i_brand_id#58, i_class_id#59, i_category_id#60, sales#69, number_sales#70] +Child 2 Input [6]: [channel#87, i_brand_id#77, i_class_id#78, i_category_id#79, sales#88, number_sales#89] + +(99) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sales#48, number_sales#49] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [partial_sum(sales#48), partial_sum(number_sales#49)] + +(100) CometExchange +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#90, isEmpty#91, sum#92] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] + +(101) CometHashAggregate +Input [7]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum#90, isEmpty#91, sum#92] +Keys [4]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39] +Functions [2]: [sum(sales#48), sum(number_sales#49)] + +(102) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum#97, isEmpty#98, sum#99] + +(103) CometHashAggregate +Input [7]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96, sum#97, isEmpty#98, sum#99] +Keys [4]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#96] +Functions [2]: [sum(sales#100), sum(number_sales#101)] + +(104) CometHashAggregate +Input [5]: [channel#93, i_brand_id#94, i_class_id#95, sum_sales#102, number_sales#103] +Keys [3]: [channel#93, i_brand_id#94, i_class_id#95] +Functions [2]: [partial_sum(sum_sales#102), partial_sum(number_sales#103)] + +(105) CometExchange +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, sum#104, isEmpty#105, sum#106] +Arguments: hashpartitioning(channel#93, i_brand_id#94, i_class_id#95, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] + +(106) CometHashAggregate +Input [6]: [channel#93, i_brand_id#94, i_class_id#95, sum#104, isEmpty#105, sum#106] +Keys [3]: [channel#93, i_brand_id#94, i_class_id#95] +Functions [2]: [sum(sum_sales#102), sum(number_sales#103)] + +(107) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#107, i_brand_id#108, i_class_id#109, i_category_id#110, sum#111, isEmpty#112, sum#113] + +(108) CometHashAggregate +Input [7]: [channel#107, i_brand_id#108, i_class_id#109, i_category_id#110, sum#111, isEmpty#112, sum#113] +Keys [4]: [channel#107, i_brand_id#108, i_class_id#109, i_category_id#110] +Functions [2]: [sum(sales#114), sum(number_sales#115)] + +(109) CometHashAggregate +Input [4]: [channel#107, i_brand_id#108, sum_sales#116, number_sales#117] +Keys [2]: [channel#107, i_brand_id#108] +Functions [2]: [partial_sum(sum_sales#116), partial_sum(number_sales#117)] + +(110) CometExchange +Input [5]: [channel#107, i_brand_id#108, sum#118, isEmpty#119, sum#120] +Arguments: hashpartitioning(channel#107, i_brand_id#108, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=14] + +(111) CometHashAggregate +Input [5]: [channel#107, i_brand_id#108, sum#118, isEmpty#119, sum#120] +Keys [2]: [channel#107, i_brand_id#108] +Functions [2]: [sum(sum_sales#116), sum(number_sales#117)] + +(112) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#121, i_brand_id#122, i_class_id#123, i_category_id#124, sum#125, isEmpty#126, sum#127] + +(113) CometHashAggregate +Input [7]: [channel#121, i_brand_id#122, i_class_id#123, i_category_id#124, sum#125, isEmpty#126, sum#127] +Keys [4]: [channel#121, i_brand_id#122, i_class_id#123, i_category_id#124] +Functions [2]: [sum(sales#128), sum(number_sales#129)] + +(114) CometHashAggregate +Input [3]: [channel#121, sum_sales#130, number_sales#131] +Keys [1]: [channel#121] +Functions [2]: [partial_sum(sum_sales#130), partial_sum(number_sales#131)] + +(115) CometExchange +Input [4]: [channel#121, sum#132, isEmpty#133, sum#134] +Arguments: hashpartitioning(channel#121, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=15] + +(116) CometHashAggregate +Input [4]: [channel#121, sum#132, isEmpty#133, sum#134] +Keys [1]: [channel#121] +Functions [2]: [sum(sum_sales#130), sum(number_sales#131)] + +(117) ReusedExchange [Reuses operator id: 100] +Output [7]: [channel#135, i_brand_id#136, i_class_id#137, i_category_id#138, sum#139, isEmpty#140, sum#141] + +(118) CometHashAggregate +Input [7]: [channel#135, i_brand_id#136, i_class_id#137, i_category_id#138, sum#139, isEmpty#140, sum#141] +Keys [4]: [channel#135, i_brand_id#136, i_class_id#137, i_category_id#138] +Functions [2]: [sum(sales#142), sum(number_sales#143)] + +(119) CometHashAggregate +Input [2]: [sum_sales#144, number_sales#145] Keys: [] -Functions [2]: [partial_sum(sum_sales#184), partial_sum(number_sales#185)] -Aggregate Attributes [3]: [sum#186, isEmpty#187, sum#188] -Results [3]: [sum#189, isEmpty#190, sum#191] +Functions [2]: [partial_sum(sum_sales#144), partial_sum(number_sales#145)] -(131) CometColumnarExchange -Input [3]: [sum#189, isEmpty#190, sum#191] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=16] +(120) CometExchange +Input [3]: [sum#146, isEmpty#147, sum#148] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=16] -(132) CometColumnarToRow [codegen id : 404] -Input [3]: [sum#189, isEmpty#190, sum#191] - -(133) HashAggregate [codegen id : 404] -Input [3]: [sum#189, isEmpty#190, sum#191] +(121) CometHashAggregate +Input [3]: [sum#146, isEmpty#147, sum#148] Keys: [] -Functions [2]: [sum(sum_sales#184), sum(number_sales#185)] -Aggregate Attributes [2]: [sum(sum_sales#184)#192, sum(number_sales#185)#193] -Results [6]: [null AS channel#194, null AS i_brand_id#195, null AS i_class_id#196, null AS i_category_id#197, sum(sum_sales#184)#192 AS sum(sum_sales)#198, sum(number_sales#185)#193 AS sum(number_sales)#199] - -(134) Union - -(135) HashAggregate [codegen id : 405] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +Functions [2]: [sum(sum_sales#144), sum(number_sales#145)] + +(122) CometUnion +Child 0 Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] +Child 1 Input [6]: [channel#93, i_brand_id#94, i_class_id#95, i_category_id#151, sum(sum_sales)#152, sum(number_sales)#153] +Child 2 Input [6]: [channel#107, i_brand_id#108, i_class_id#154, i_category_id#155, sum(sum_sales)#156, sum(number_sales)#157] +Child 3 Input [6]: [channel#121, i_brand_id#158, i_class_id#159, i_category_id#160, sum(sum_sales)#161, sum(number_sales)#162] +Child 4 Input [6]: [channel#163, i_brand_id#164, i_class_id#165, i_category_id#166, sum(sum_sales)#167, sum(number_sales)#168] + +(123) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] Functions: [] -Aggregate Attributes: [] -Results [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -(136) CometColumnarExchange -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Arguments: hashpartitioning(channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=17] +(124) CometExchange +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] +Arguments: hashpartitioning(channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=17] -(137) CometHashAggregate -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Keys [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(125) CometHashAggregate +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] +Keys [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] Functions: [] -(138) CometTakeOrderedAndProject -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#49 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#49,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#104,number_sales#105]), [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105], 100, 0, [channel#49 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(126) CometTakeOrderedAndProject +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#47 ASC NULLS FIRST,i_brand_id#37 ASC NULLS FIRST,i_class_id#38 ASC NULLS FIRST,i_category_id#39 ASC NULLS FIRST], output=[channel#47,i_brand_id#37,i_class_id#38,i_category_id#39,sum_sales#149,number_sales#150]), [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150], 100, 0, [channel#47 ASC NULLS FIRST, i_brand_id#37 ASC NULLS FIRST, i_class_id#38 ASC NULLS FIRST, i_category_id#39 ASC NULLS FIRST], [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] -(139) CometColumnarToRow [codegen id : 406] -Input [6]: [channel#49, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#104, number_sales#105] +(127) CometColumnarToRow [codegen id : 376] +Input [6]: [channel#47, i_brand_id#37, i_class_id#38, i_category_id#39, sum_sales#149, number_sales#150] ===== Subqueries ===== -Subquery:1 Hosting operator id = 68 Hosting Expression = Subquery scalar-subquery#52, [id=#53] -* HashAggregate (159) -+- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- Union (155) - :- * Project (144) - : +- * BroadcastHashJoin Inner BuildRight (143) - : :- * ColumnarToRow (141) - : : +- Scan parquet spark_catalog.default.store_sales (140) - : +- ReusedExchange (142) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * ColumnarToRow (146) - : : +- Scan parquet spark_catalog.default.catalog_sales (145) - : +- ReusedExchange (147) - +- * Project (154) - +- * BroadcastHashJoin Inner BuildRight (153) - :- * ColumnarToRow (151) - : +- Scan parquet spark_catalog.default.web_sales (150) - +- ReusedExchange (152) - - -(140) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_quantity#200, ss_list_price#201, ss_sold_date_sk#202] +Subquery:1 Hosting operator id = 67 Hosting Expression = Subquery scalar-subquery#50, [id=#51] +* CometColumnarToRow (147) ++- CometHashAggregate (146) + +- CometColumnarExchange (145) + +- * HashAggregate (144) + +- Union (143) + :- * Project (132) + : +- * BroadcastHashJoin Inner BuildRight (131) + : :- * ColumnarToRow (129) + : : +- Scan parquet spark_catalog.default.store_sales (128) + : +- ReusedExchange (130) + :- * Project (137) + : +- * BroadcastHashJoin Inner BuildRight (136) + : :- * ColumnarToRow (134) + : : +- Scan parquet spark_catalog.default.catalog_sales (133) + : +- ReusedExchange (135) + +- * Project (142) + +- * BroadcastHashJoin Inner BuildRight (141) + :- * ColumnarToRow (139) + : +- Scan parquet spark_catalog.default.web_sales (138) + +- ReusedExchange (140) + + +(128) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_quantity#169, ss_list_price#170, ss_sold_date_sk#171] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#202), dynamicpruningexpression(ss_sold_date_sk#202 IN dynamicpruning#12)] +PartitionFilters: [isnotnull(ss_sold_date_sk#171), dynamicpruningexpression(ss_sold_date_sk#171 IN dynamicpruning#12)] ReadSchema: struct -(141) ColumnarToRow [codegen id : 2] -Input [3]: [ss_quantity#200, ss_list_price#201, ss_sold_date_sk#202] +(129) ColumnarToRow [codegen id : 2] +Input [3]: [ss_quantity#169, ss_list_price#170, ss_sold_date_sk#171] -(142) ReusedExchange [Reuses operator id: 174] -Output [1]: [d_date_sk#203] +(130) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#172] -(143) BroadcastHashJoin [codegen id : 2] -Left keys [1]: [ss_sold_date_sk#202] -Right keys [1]: [d_date_sk#203] +(131) BroadcastHashJoin [codegen id : 2] +Left keys [1]: [ss_sold_date_sk#171] +Right keys [1]: [d_date_sk#172] Join type: Inner Join condition: None -(144) Project [codegen id : 2] -Output [2]: [ss_quantity#200 AS quantity#204, ss_list_price#201 AS list_price#205] -Input [4]: [ss_quantity#200, ss_list_price#201, ss_sold_date_sk#202, d_date_sk#203] +(132) Project [codegen id : 2] +Output [2]: [ss_quantity#169 AS quantity#173, ss_list_price#170 AS list_price#174] +Input [4]: [ss_quantity#169, ss_list_price#170, ss_sold_date_sk#171, d_date_sk#172] -(145) Scan parquet spark_catalog.default.catalog_sales -Output [3]: [cs_quantity#206, cs_list_price#207, cs_sold_date_sk#208] +(133) Scan parquet spark_catalog.default.catalog_sales +Output [3]: [cs_quantity#175, cs_list_price#176, cs_sold_date_sk#177] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#208), dynamicpruningexpression(cs_sold_date_sk#208 IN dynamicpruning#209)] +PartitionFilters: [isnotnull(cs_sold_date_sk#177), dynamicpruningexpression(cs_sold_date_sk#177 IN dynamicpruning#178)] ReadSchema: struct -(146) ColumnarToRow [codegen id : 4] -Input [3]: [cs_quantity#206, cs_list_price#207, cs_sold_date_sk#208] +(134) ColumnarToRow [codegen id : 4] +Input [3]: [cs_quantity#175, cs_list_price#176, cs_sold_date_sk#177] -(147) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#210] +(135) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#179] -(148) BroadcastHashJoin [codegen id : 4] -Left keys [1]: [cs_sold_date_sk#208] -Right keys [1]: [d_date_sk#210] +(136) BroadcastHashJoin [codegen id : 4] +Left keys [1]: [cs_sold_date_sk#177] +Right keys [1]: [d_date_sk#179] Join type: Inner Join condition: None -(149) Project [codegen id : 4] -Output [2]: [cs_quantity#206 AS quantity#211, cs_list_price#207 AS list_price#212] -Input [4]: [cs_quantity#206, cs_list_price#207, cs_sold_date_sk#208, d_date_sk#210] +(137) Project [codegen id : 4] +Output [2]: [cs_quantity#175 AS quantity#180, cs_list_price#176 AS list_price#181] +Input [4]: [cs_quantity#175, cs_list_price#176, cs_sold_date_sk#177, d_date_sk#179] -(150) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_quantity#213, ws_list_price#214, ws_sold_date_sk#215] +(138) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_quantity#182, ws_list_price#183, ws_sold_date_sk#184] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#215), dynamicpruningexpression(ws_sold_date_sk#215 IN dynamicpruning#209)] +PartitionFilters: [isnotnull(ws_sold_date_sk#184), dynamicpruningexpression(ws_sold_date_sk#184 IN dynamicpruning#178)] ReadSchema: struct -(151) ColumnarToRow [codegen id : 6] -Input [3]: [ws_quantity#213, ws_list_price#214, ws_sold_date_sk#215] +(139) ColumnarToRow [codegen id : 6] +Input [3]: [ws_quantity#182, ws_list_price#183, ws_sold_date_sk#184] -(152) ReusedExchange [Reuses operator id: 164] -Output [1]: [d_date_sk#216] +(140) ReusedExchange [Reuses operator id: 152] +Output [1]: [d_date_sk#185] -(153) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ws_sold_date_sk#215] -Right keys [1]: [d_date_sk#216] +(141) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ws_sold_date_sk#184] +Right keys [1]: [d_date_sk#185] Join type: Inner Join condition: None -(154) Project [codegen id : 6] -Output [2]: [ws_quantity#213 AS quantity#217, ws_list_price#214 AS list_price#218] -Input [4]: [ws_quantity#213, ws_list_price#214, ws_sold_date_sk#215, d_date_sk#216] +(142) Project [codegen id : 6] +Output [2]: [ws_quantity#182 AS quantity#186, ws_list_price#183 AS list_price#187] +Input [4]: [ws_quantity#182, ws_list_price#183, ws_sold_date_sk#184, d_date_sk#185] -(155) Union +(143) Union -(156) HashAggregate [codegen id : 7] -Input [2]: [quantity#204, list_price#205] +(144) HashAggregate [codegen id : 7] +Input [2]: [quantity#173, list_price#174] Keys: [] -Functions [1]: [partial_avg((cast(quantity#204 as decimal(10,0)) * list_price#205))] -Aggregate Attributes [2]: [sum#219, count#220] -Results [2]: [sum#221, count#222] +Functions [1]: [partial_avg((cast(quantity#173 as decimal(10,0)) * list_price#174))] +Aggregate Attributes [2]: [sum#188, count#189] +Results [2]: [sum#190, count#191] -(157) CometColumnarExchange -Input [2]: [sum#221, count#222] +(145) CometColumnarExchange +Input [2]: [sum#190, count#191] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=18] -(158) CometColumnarToRow [codegen id : 8] -Input [2]: [sum#221, count#222] - -(159) HashAggregate [codegen id : 8] -Input [2]: [sum#221, count#222] +(146) CometHashAggregate +Input [2]: [sum#190, count#191] Keys: [] -Functions [1]: [avg((cast(quantity#204 as decimal(10,0)) * list_price#205))] -Aggregate Attributes [1]: [avg((cast(quantity#204 as decimal(10,0)) * list_price#205))#223] -Results [1]: [avg((cast(quantity#204 as decimal(10,0)) * list_price#205))#223 AS average_sales#224] +Functions [1]: [avg((cast(quantity#173 as decimal(10,0)) * list_price#174))] + +(147) CometColumnarToRow [codegen id : 8] +Input [1]: [average_sales#192] -Subquery:2 Hosting operator id = 140 Hosting Expression = ss_sold_date_sk#202 IN dynamicpruning#12 +Subquery:2 Hosting operator id = 128 Hosting Expression = ss_sold_date_sk#171 IN dynamicpruning#12 -Subquery:3 Hosting operator id = 145 Hosting Expression = cs_sold_date_sk#208 IN dynamicpruning#209 -BroadcastExchange (164) -+- * CometColumnarToRow (163) - +- CometProject (162) - +- CometFilter (161) - +- CometNativeScan parquet spark_catalog.default.date_dim (160) +Subquery:3 Hosting operator id = 133 Hosting Expression = cs_sold_date_sk#177 IN dynamicpruning#178 +BroadcastExchange (152) ++- * CometColumnarToRow (151) + +- CometProject (150) + +- CometFilter (149) + +- CometNativeScan parquet spark_catalog.default.date_dim (148) -(160) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#210, d_year#225] +(148) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#179, d_year#193] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1998), LessThanOrEqual(d_year,2000), IsNotNull(d_date_sk)] ReadSchema: struct -(161) CometFilter -Input [2]: [d_date_sk#210, d_year#225] -Condition : (((isnotnull(d_year#225) AND (d_year#225 >= 1998)) AND (d_year#225 <= 2000)) AND isnotnull(d_date_sk#210)) +(149) CometFilter +Input [2]: [d_date_sk#179, d_year#193] +Condition : (((isnotnull(d_year#193) AND (d_year#193 >= 1998)) AND (d_year#193 <= 2000)) AND isnotnull(d_date_sk#179)) -(162) CometProject -Input [2]: [d_date_sk#210, d_year#225] -Arguments: [d_date_sk#210], [d_date_sk#210] +(150) CometProject +Input [2]: [d_date_sk#179, d_year#193] +Arguments: [d_date_sk#179], [d_date_sk#179] -(163) CometColumnarToRow [codegen id : 1] -Input [1]: [d_date_sk#210] +(151) CometColumnarToRow [codegen id : 1] +Input [1]: [d_date_sk#179] -(164) BroadcastExchange -Input [1]: [d_date_sk#210] +(152) BroadcastExchange +Input [1]: [d_date_sk#179] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=19] -Subquery:4 Hosting operator id = 150 Hosting Expression = ws_sold_date_sk#215 IN dynamicpruning#209 +Subquery:4 Hosting operator id = 138 Hosting Expression = ws_sold_date_sk#184 IN dynamicpruning#178 Subquery:5 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (169) -+- * CometColumnarToRow (168) - +- CometProject (167) - +- CometFilter (166) - +- CometNativeScan parquet spark_catalog.default.date_dim (165) +BroadcastExchange (157) ++- * CometColumnarToRow (156) + +- CometProject (155) + +- CometFilter (154) + +- CometNativeScan parquet spark_catalog.default.date_dim (153) -(165) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#40, d_year#226, d_moy#227] +(153) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#40, d_year#194, d_moy#195] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,11), IsNotNull(d_date_sk)] ReadSchema: struct -(166) CometFilter -Input [3]: [d_date_sk#40, d_year#226, d_moy#227] -Condition : ((((isnotnull(d_year#226) AND isnotnull(d_moy#227)) AND (d_year#226 = 2000)) AND (d_moy#227 = 11)) AND isnotnull(d_date_sk#40)) +(154) CometFilter +Input [3]: [d_date_sk#40, d_year#194, d_moy#195] +Condition : ((((isnotnull(d_year#194) AND isnotnull(d_moy#195)) AND (d_year#194 = 2000)) AND (d_moy#195 = 11)) AND isnotnull(d_date_sk#40)) -(167) CometProject -Input [3]: [d_date_sk#40, d_year#226, d_moy#227] +(155) CometProject +Input [3]: [d_date_sk#40, d_year#194, d_moy#195] Arguments: [d_date_sk#40], [d_date_sk#40] -(168) CometColumnarToRow [codegen id : 1] +(156) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#40] -(169) BroadcastExchange +(157) BroadcastExchange Input [1]: [d_date_sk#40] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=20] Subquery:6 Hosting operator id = 7 Hosting Expression = ss_sold_date_sk#11 IN dynamicpruning#12 -BroadcastExchange (174) -+- * CometColumnarToRow (173) - +- CometProject (172) - +- CometFilter (171) - +- CometNativeScan parquet spark_catalog.default.date_dim (170) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(170) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#24, d_year#228] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#24, d_year#196] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), GreaterThanOrEqual(d_year,1999), LessThanOrEqual(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(171) CometFilter -Input [2]: [d_date_sk#24, d_year#228] -Condition : (((isnotnull(d_year#228) AND (d_year#228 >= 1999)) AND (d_year#228 <= 2001)) AND isnotnull(d_date_sk#24)) +(159) CometFilter +Input [2]: [d_date_sk#24, d_year#196] +Condition : (((isnotnull(d_year#196) AND (d_year#196 >= 1999)) AND (d_year#196 <= 2001)) AND isnotnull(d_date_sk#24)) -(172) CometProject -Input [2]: [d_date_sk#24, d_year#228] +(160) CometProject +Input [2]: [d_date_sk#24, d_year#196] Arguments: [d_date_sk#24], [d_date_sk#24] -(173) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#24] -(174) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#24] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=21] @@ -1009,12 +931,12 @@ Subquery:7 Hosting operator id = 13 Hosting Expression = cs_sold_date_sk#18 IN d Subquery:8 Hosting operator id = 37 Hosting Expression = ws_sold_date_sk#29 IN dynamicpruning#12 -Subquery:9 Hosting operator id = 84 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:9 Hosting operator id = 82 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:10 Hosting operator id = 69 Hosting Expression = cs_sold_date_sk#57 IN dynamicpruning#5 +Subquery:10 Hosting operator id = 68 Hosting Expression = cs_sold_date_sk#55 IN dynamicpruning#5 -Subquery:11 Hosting operator id = 100 Hosting Expression = ReusedSubquery Subquery scalar-subquery#52, [id=#53] +Subquery:11 Hosting operator id = 97 Hosting Expression = ReusedSubquery Subquery scalar-subquery#50, [id=#51] -Subquery:12 Hosting operator id = 85 Hosting Expression = ws_sold_date_sk#78 IN dynamicpruning#5 +Subquery:12 Hosting operator id = 83 Hosting Expression = ws_sold_date_sk#74 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/extended.txt index c6478057d9..5ff98541e8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/extended.txt @@ -1,2779 +1,2755 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate : +- CometColumnarExchange : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery - : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Filter - : : : +- Subquery - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Union - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : :- Filter - : : : +- ReusedSubquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometHashAggregate - : : : : : +- CometColumnarExchange - : : : : : +- HashAggregate - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- BroadcastHashJoin - : : : : : : :- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Project - : : : : : : : +- BroadcastHashJoin - : : : : : : : :- Filter - : : : : : : : : +- ColumnarToRow - : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : : +- ReusedSubquery - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Filter - : : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Filter - : : +- Subquery - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Union - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : :- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- Filter - : : +- ReusedSubquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometHashAggregate - : : : : +- CometColumnarExchange - : : : : +- HashAggregate - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- SubqueryBroadcast - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : +- BroadcastExchange - : : : : : +- BroadcastHashJoin - : : : : : :- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Filter - : +- ReusedSubquery + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometFilter + : : : +- Subquery + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Union + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : :- CometFilter + : : : +- ReusedSubquery + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometHashAggregate + : : : : : +- CometColumnarExchange + : : : : : +- HashAggregate + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- BroadcastHashJoin + : : : : : : :- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Project + : : : : : : : +- BroadcastHashJoin + : : : : : : : :- Filter + : : : : : : : : +- ColumnarToRow + : : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : : +- ReusedSubquery + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometFilter + : : +- Subquery + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Union + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : :- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometFilter + : : +- ReusedSubquery + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometHashAggregate + : : : : +- CometColumnarExchange + : : : : +- HashAggregate + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- SubqueryBroadcast + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : +- BroadcastExchange + : : : : : +- BroadcastHashJoin + : : : : : :- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometFilter + : +- ReusedSubquery + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Filter - : : : : : : +- ColumnarToRow - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : +- ReusedSubquery - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Filter + : : : : : : +- ColumnarToRow + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : +- ReusedSubquery + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 842 out of 2302 eligible operators (36%). Final plan contains 475 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 902 out of 2302 eligible operators (39%). Final plan contains 451 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/simplified.txt index 4458723393..22a040e61e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q14a.native_datafusion/simplified.txt @@ -1,276 +1,236 @@ -WholeStageCodegen (406) +WholeStageCodegen (376) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 - WholeStageCodegen (405) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] - InputAdapter - Union - WholeStageCodegen (80) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id,i_category_id] #2 - WholeStageCodegen (79) - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - InputAdapter - Union - WholeStageCodegen (26) - Filter [sales] - Subquery #3 - WholeStageCodegen (8) - HashAggregate [sum,count] [avg((cast(quantity as decimal(10,0)) * list_price)),average_sales,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #14 - WholeStageCodegen (7) - HashAggregate [quantity,list_price] [sum,count,sum,count] - InputAdapter - Union - WholeStageCodegen (2) - Project [ss_quantity,ss_list_price] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [d_date_sk] #8 - WholeStageCodegen (4) - Project [cs_quantity,cs_list_price] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #4 - BroadcastExchange #15 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #15 - WholeStageCodegen (6) - Project [ws_quantity,ws_list_price] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #4 - InputAdapter - ReusedExchange [d_date_sk] #15 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 - WholeStageCodegen (25) - HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - BroadcastHashJoin [ss_item_sk,ss_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] #1 + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales] + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id,i_category_id] #2 + CometHashAggregate [sales,number_sales] [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] + CometUnion [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + Subquery #3 + WholeStageCodegen (8) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,count] [average_sales,avg((cast(quantity as decimal(10,0)) * list_price))] + CometColumnarExchange #14 + WholeStageCodegen (7) + HashAggregate [quantity,list_price] [sum,count,sum,count] + InputAdapter + Union + WholeStageCodegen (2) + Project [ss_quantity,ss_list_price] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_quantity,ss_list_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk] #8 + WholeStageCodegen (4) + Project [cs_quantity,cs_list_price] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_quantity,cs_list_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #4 + BroadcastExchange #15 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #15 + WholeStageCodegen (6) + Project [ws_quantity,ws_list_price] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #4 + InputAdapter + ReusedExchange [d_date_sk] #15 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ss_quantity as decimal(10,0)) * ss_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #3 + WholeStageCodegen (25) + HashAggregate [i_brand_id,i_class_id,i_category_id,ss_quantity,ss_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ss_quantity,ss_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_quantity,ss_list_price,ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + BroadcastHashJoin [ss_item_sk,ss_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_quantity,ss_list_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (11) + Project [i_item_sk] + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (10) + BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow InputAdapter - BroadcastExchange #5 - WholeStageCodegen (11) - Project [i_item_sk] - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,brand_id,class_id,category_id] - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (10) - BroadcastHashJoin [brand_id,class_id,category_id,i_brand_id,i_class_id,i_category_id] - CometColumnarToRow - InputAdapter - CometHashAggregate [brand_id,class_id,category_id] - CometColumnarExchange [brand_id,class_id,category_id] #7 - WholeStageCodegen (6) - HashAggregate [brand_id,class_id,category_id] - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #8 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (4) - BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometHashAggregate [brand_id,class_id,category_id] + CometColumnarExchange [brand_id,class_id,category_id] #7 + WholeStageCodegen (6) + HashAggregate [brand_id,class_id,category_id] + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #8 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (4) + BroadcastHashJoin [i_brand_id,i_class_id,i_category_id,i_brand_id,i_class_id,i_category_id] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (3) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (1) CometColumnarToRow InputAdapter CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (3) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - ReusedExchange [d_date_sk] #8 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (9) - Project [i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Filter [ws_item_sk] - ColumnarToRow InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 - InputAdapter - ReusedExchange [d_date_sk] #8 + ReusedExchange [d_date_sk] #8 + InputAdapter + ReusedExchange [d_date_sk] #8 InputAdapter - BroadcastExchange #13 - WholeStageCodegen (23) - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow + BroadcastExchange #12 + WholeStageCodegen (9) + Project [i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #11 InputAdapter - CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (52) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 - WholeStageCodegen (51) - HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [cs_item_sk,i_item_sk] - BroadcastHashJoin [cs_item_sk,ss_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (78) - Filter [sales] - ReusedSubquery [average_sales] #3 - HashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,count] [sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1),channel,sales,number_sales,sum,isEmpty,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 - WholeStageCodegen (77) - HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] - Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] - BroadcastHashJoin [ws_item_sk,i_item_sk] - BroadcastHashJoin [ws_item_sk,ss_item_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [ss_item_sk] #5 - InputAdapter - ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (161) - HashAggregate [channel,i_brand_id,i_class_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id,i_class_id] #18 - WholeStageCodegen (160) - HashAggregate [channel,i_brand_id,i_class_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (242) - HashAggregate [channel,i_brand_id,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,i_brand_id] #19 - WholeStageCodegen (241) - HashAggregate [channel,i_brand_id,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #8 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (23) + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow + InputAdapter + CometFilter [i_item_sk,i_brand_id,i_class_id,i_category_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand_id,i_class_id,i_category_id] + InputAdapter + ReusedExchange [ss_item_sk] #5 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (323) - HashAggregate [channel,sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #20 - WholeStageCodegen (322) - HashAggregate [channel,sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(cs_quantity as decimal(10,0)) * cs_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #16 + WholeStageCodegen (50) + HashAggregate [i_brand_id,i_class_id,i_category_id,cs_quantity,cs_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [cs_quantity,cs_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_quantity,cs_list_price,cs_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [cs_item_sk,i_item_sk] + BroadcastHashJoin [cs_item_sk,ss_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_quantity,cs_list_price,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 - WholeStageCodegen (404) - HashAggregate [sum,isEmpty,sum] [sum(sum_sales),sum(number_salesL),channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum,isEmpty,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #21 - WholeStageCodegen (403) - HashAggregate [sum_sales,number_sales] [sum,isEmpty,sum,sum,isEmpty,sum] - HashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum(sales),sum(number_salesL),sum_sales,number_sales,sum,isEmpty,sum] - CometColumnarToRow + ReusedExchange [d_date_sk] #4 + CometFilter [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales] + ReusedSubquery [average_sales] #3 + CometHashAggregate [sum,isEmpty,count] [channel,i_brand_id,i_class_id,i_category_id,sales,number_sales,sum((cast(ws_quantity as decimal(10,0)) * ws_list_price)),count(1)] + CometColumnarExchange [i_brand_id,i_class_id,i_category_id] #17 + WholeStageCodegen (75) + HashAggregate [i_brand_id,i_class_id,i_category_id,ws_quantity,ws_list_price] [sum,isEmpty,count,sum,isEmpty,count] + Project [ws_quantity,ws_list_price,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_quantity,ws_list_price,ws_sold_date_sk,i_brand_id,i_class_id,i_category_id] + BroadcastHashJoin [ws_item_sk,i_item_sk] + BroadcastHashJoin [ws_item_sk,ss_item_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_quantity,ws_list_price,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [ss_item_sk] #5 + InputAdapter + ReusedExchange [i_item_sk,i_brand_id,i_class_id,i_category_id] #13 InputAdapter - ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id,i_class_id] #18 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,i_class_id,sum,isEmpty,sum] + CometHashAggregate [i_category_id,sum,isEmpty,sum] [channel,i_brand_id,i_class_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel,i_brand_id] #19 + CometHashAggregate [sum_sales,number_sales] [channel,i_brand_id,sum,isEmpty,sum] + CometHashAggregate [i_class_id,i_category_id,sum,isEmpty,sum] [channel,i_brand_id,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange [channel] #20 + CometHashAggregate [sum_sales,number_sales] [channel,sum,isEmpty,sum] + CometHashAggregate [i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [channel,sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 + CometHashAggregate [sum,isEmpty,sum] [channel,i_brand_id,i_class_id,i_category_id,sum(sum_sales),sum(number_sales),sum(sum_sales),sum(number_salesL)] + CometExchange #21 + CometHashAggregate [sum_sales,number_sales] [sum,isEmpty,sum] + CometHashAggregate [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] [sum_sales,number_sales,sum(sales),sum(number_salesL)] + ReusedExchange [channel,i_brand_id,i_class_id,i_category_id,sum,isEmpty,sum] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/explain.txt index 765cd78ddb..048cc460f0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/explain.txt @@ -1,165 +1,161 @@ == Physical Plan == -TakeOrderedAndProject (161) -+- Union (160) - :- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (33) - : : +- * BroadcastHashJoin Inner BuildRight (32) - : : :- * Project (30) - : : : +- * BroadcastHashJoin Inner BuildRight (29) - : : : :- * Project (23) - : : : : +- * BroadcastHashJoin Inner BuildRight (22) - : : : : :- * Project (17) - : : : : : +- * BroadcastHashJoin Inner BuildRight (16) - : : : : : :- * Project (10) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : : : :- * Filter (3) - : : : : : : : +- * ColumnarToRow (2) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : : : : : : +- BroadcastExchange (8) - : : : : : : +- * CometColumnarToRow (7) - : : : : : : +- CometProject (6) - : : : : : : +- CometFilter (5) - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : : : +- BroadcastExchange (15) - : : : : : +- * CometColumnarToRow (14) - : : : : : +- CometProject (13) - : : : : : +- CometFilter (12) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) - : : : : +- BroadcastExchange (21) - : : : : +- * CometColumnarToRow (20) - : : : : +- CometFilter (19) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) - : : : +- BroadcastExchange (28) - : : : +- * CometColumnarToRow (27) - : : : +- CometProject (26) - : : : +- CometFilter (25) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) - : : +- ReusedExchange (31) - : +- BroadcastExchange (38) - : +- * CometColumnarToRow (37) - : +- CometProject (36) - : +- CometFilter (35) - : +- CometNativeScan parquet spark_catalog.default.item (34) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * Project (69) - : +- * BroadcastHashJoin Inner BuildRight (68) - : :- * Project (66) - : : +- * BroadcastHashJoin Inner BuildRight (65) - : : :- * Project (63) - : : : +- * BroadcastHashJoin Inner BuildRight (62) - : : : :- * Project (56) - : : : : +- * BroadcastHashJoin Inner BuildRight (55) - : : : : :- * Project (53) - : : : : : +- * BroadcastHashJoin Inner BuildRight (52) - : : : : : :- * Project (50) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (49) - : : : : : : :- * Filter (47) - : : : : : : : +- * ColumnarToRow (46) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (45) - : : : : : : +- ReusedExchange (48) - : : : : : +- ReusedExchange (51) - : : : : +- ReusedExchange (54) - : : : +- BroadcastExchange (61) - : : : +- * CometColumnarToRow (60) - : : : +- CometProject (59) - : : : +- CometFilter (58) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (57) - : : +- ReusedExchange (64) - : +- ReusedExchange (67) - :- * HashAggregate (102) - : +- * CometColumnarToRow (101) - : +- CometColumnarExchange (100) - : +- * HashAggregate (99) - : +- * Project (98) - : +- * BroadcastHashJoin Inner BuildRight (97) - : :- * Project (95) - : : +- * BroadcastHashJoin Inner BuildRight (94) - : : :- * Project (92) - : : : +- * BroadcastHashJoin Inner BuildRight (91) - : : : :- * Project (85) - : : : : +- * BroadcastHashJoin Inner BuildRight (84) - : : : : :- * Project (82) - : : : : : +- * BroadcastHashJoin Inner BuildRight (81) - : : : : : :- * Project (79) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (78) - : : : : : : :- * Filter (76) - : : : : : : : +- * ColumnarToRow (75) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (74) - : : : : : : +- ReusedExchange (77) - : : : : : +- ReusedExchange (80) - : : : : +- ReusedExchange (83) - : : : +- BroadcastExchange (90) - : : : +- * CometColumnarToRow (89) - : : : +- CometProject (88) - : : : +- CometFilter (87) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (86) - : : +- ReusedExchange (93) - : +- ReusedExchange (96) - :- * HashAggregate (131) - : +- * CometColumnarToRow (130) - : +- CometColumnarExchange (129) - : +- * HashAggregate (128) - : +- * Project (127) - : +- * BroadcastHashJoin Inner BuildRight (126) - : :- * Project (124) - : : +- * BroadcastHashJoin Inner BuildRight (123) - : : :- * Project (121) - : : : +- * BroadcastHashJoin Inner BuildRight (120) - : : : :- * Project (114) - : : : : +- * BroadcastHashJoin Inner BuildRight (113) - : : : : :- * Project (111) - : : : : : +- * BroadcastHashJoin Inner BuildRight (110) - : : : : : :- * Project (108) - : : : : : : +- * BroadcastHashJoin Inner BuildRight (107) - : : : : : : :- * Filter (105) - : : : : : : : +- * ColumnarToRow (104) - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (103) - : : : : : : +- ReusedExchange (106) - : : : : : +- ReusedExchange (109) - : : : : +- ReusedExchange (112) - : : : +- BroadcastExchange (119) - : : : +- * CometColumnarToRow (118) - : : : +- CometProject (117) - : : : +- CometFilter (116) - : : : +- CometNativeScan parquet spark_catalog.default.customer_address (115) - : : +- ReusedExchange (122) - : +- ReusedExchange (125) - +- * HashAggregate (159) - +- * CometColumnarToRow (158) - +- CometColumnarExchange (157) - +- * HashAggregate (156) - +- * Project (155) - +- * BroadcastHashJoin Inner BuildRight (154) - :- * Project (149) - : +- * BroadcastHashJoin Inner BuildRight (148) - : :- * Project (146) - : : +- * BroadcastHashJoin Inner BuildRight (145) - : : :- * Project (143) - : : : +- * BroadcastHashJoin Inner BuildRight (142) - : : : :- * Project (140) - : : : : +- * BroadcastHashJoin Inner BuildRight (139) - : : : : :- * Project (137) - : : : : : +- * BroadcastHashJoin Inner BuildRight (136) - : : : : : :- * Filter (134) - : : : : : : +- * ColumnarToRow (133) - : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (132) - : : : : : +- ReusedExchange (135) - : : : : +- ReusedExchange (138) - : : : +- ReusedExchange (141) - : : +- ReusedExchange (144) - : +- ReusedExchange (147) - +- BroadcastExchange (153) - +- * CometColumnarToRow (152) - +- CometFilter (151) - +- CometNativeScan parquet spark_catalog.default.item (150) +* CometColumnarToRow (157) ++- CometTakeOrderedAndProject (156) + +- CometUnion (155) + :- CometHashAggregate (43) + : +- CometColumnarExchange (42) + : +- * HashAggregate (41) + : +- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Project (30) + : : : +- * BroadcastHashJoin Inner BuildRight (29) + : : : :- * Project (23) + : : : : +- * BroadcastHashJoin Inner BuildRight (22) + : : : : :- * Project (17) + : : : : : +- * BroadcastHashJoin Inner BuildRight (16) + : : : : : :- * Project (10) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : : : :- * Filter (3) + : : : : : : : +- * ColumnarToRow (2) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : : : : : : +- BroadcastExchange (8) + : : : : : : +- * CometColumnarToRow (7) + : : : : : : +- CometProject (6) + : : : : : : +- CometFilter (5) + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : : : +- BroadcastExchange (15) + : : : : : +- * CometColumnarToRow (14) + : : : : : +- CometProject (13) + : : : : : +- CometFilter (12) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (11) + : : : : +- BroadcastExchange (21) + : : : : +- * CometColumnarToRow (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (18) + : : : +- BroadcastExchange (28) + : : : +- * CometColumnarToRow (27) + : : : +- CometProject (26) + : : : +- CometFilter (25) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (24) + : : +- ReusedExchange (31) + : +- BroadcastExchange (38) + : +- * CometColumnarToRow (37) + : +- CometProject (36) + : +- CometFilter (35) + : +- CometNativeScan parquet spark_catalog.default.item (34) + :- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (65) + : : +- * BroadcastHashJoin Inner BuildRight (64) + : : :- * Project (62) + : : : +- * BroadcastHashJoin Inner BuildRight (61) + : : : :- * Project (55) + : : : : +- * BroadcastHashJoin Inner BuildRight (54) + : : : : :- * Project (52) + : : : : : +- * BroadcastHashJoin Inner BuildRight (51) + : : : : : :- * Project (49) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (48) + : : : : : : :- * Filter (46) + : : : : : : : +- * ColumnarToRow (45) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (44) + : : : : : : +- ReusedExchange (47) + : : : : : +- ReusedExchange (50) + : : : : +- ReusedExchange (53) + : : : +- BroadcastExchange (60) + : : : +- * CometColumnarToRow (59) + : : : +- CometProject (58) + : : : +- CometFilter (57) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (56) + : : +- ReusedExchange (63) + : +- ReusedExchange (66) + :- CometHashAggregate (99) + : +- CometColumnarExchange (98) + : +- * HashAggregate (97) + : +- * Project (96) + : +- * BroadcastHashJoin Inner BuildRight (95) + : :- * Project (93) + : : +- * BroadcastHashJoin Inner BuildRight (92) + : : :- * Project (90) + : : : +- * BroadcastHashJoin Inner BuildRight (89) + : : : :- * Project (83) + : : : : +- * BroadcastHashJoin Inner BuildRight (82) + : : : : :- * Project (80) + : : : : : +- * BroadcastHashJoin Inner BuildRight (79) + : : : : : :- * Project (77) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (76) + : : : : : : :- * Filter (74) + : : : : : : : +- * ColumnarToRow (73) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (72) + : : : : : : +- ReusedExchange (75) + : : : : : +- ReusedExchange (78) + : : : : +- ReusedExchange (81) + : : : +- BroadcastExchange (88) + : : : +- * CometColumnarToRow (87) + : : : +- CometProject (86) + : : : +- CometFilter (85) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (84) + : : +- ReusedExchange (91) + : +- ReusedExchange (94) + :- CometHashAggregate (127) + : +- CometColumnarExchange (126) + : +- * HashAggregate (125) + : +- * Project (124) + : +- * BroadcastHashJoin Inner BuildRight (123) + : :- * Project (121) + : : +- * BroadcastHashJoin Inner BuildRight (120) + : : :- * Project (118) + : : : +- * BroadcastHashJoin Inner BuildRight (117) + : : : :- * Project (111) + : : : : +- * BroadcastHashJoin Inner BuildRight (110) + : : : : :- * Project (108) + : : : : : +- * BroadcastHashJoin Inner BuildRight (107) + : : : : : :- * Project (105) + : : : : : : +- * BroadcastHashJoin Inner BuildRight (104) + : : : : : : :- * Filter (102) + : : : : : : : +- * ColumnarToRow (101) + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (100) + : : : : : : +- ReusedExchange (103) + : : : : : +- ReusedExchange (106) + : : : : +- ReusedExchange (109) + : : : +- BroadcastExchange (116) + : : : +- * CometColumnarToRow (115) + : : : +- CometProject (114) + : : : +- CometFilter (113) + : : : +- CometNativeScan parquet spark_catalog.default.customer_address (112) + : : +- ReusedExchange (119) + : +- ReusedExchange (122) + +- CometHashAggregate (154) + +- CometColumnarExchange (153) + +- * HashAggregate (152) + +- * Project (151) + +- * BroadcastHashJoin Inner BuildRight (150) + :- * Project (145) + : +- * BroadcastHashJoin Inner BuildRight (144) + : :- * Project (142) + : : +- * BroadcastHashJoin Inner BuildRight (141) + : : :- * Project (139) + : : : +- * BroadcastHashJoin Inner BuildRight (138) + : : : :- * Project (136) + : : : : +- * BroadcastHashJoin Inner BuildRight (135) + : : : : :- * Project (133) + : : : : : +- * BroadcastHashJoin Inner BuildRight (132) + : : : : : :- * Filter (130) + : : : : : : +- * ColumnarToRow (129) + : : : : : : +- Scan parquet spark_catalog.default.catalog_sales (128) + : : : : : +- ReusedExchange (131) + : : : : +- ReusedExchange (134) + : : : +- ReusedExchange (137) + : : +- ReusedExchange (140) + : +- ReusedExchange (143) + +- BroadcastExchange (149) + +- * CometColumnarToRow (148) + +- CometFilter (147) + +- CometNativeScan parquet spark_catalog.default.item (146) (1) Scan parquet spark_catalog.default.catalog_sales @@ -301,7 +297,7 @@ Join condition: None Output [12]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_birth_year#19, ca_county#22, ca_state#25, ca_country#24] Input [14]: [cs_item_sk#3, cs_quantity#4, cs_list_price#5, cs_sales_price#6, cs_coupon_amt#7, cs_net_profit#8, cs_sold_date_sk#9, cd_dep_count#14, c_current_addr_sk#17, c_birth_year#19, ca_address_sk#21, ca_county#22, ca_state#25, ca_country#24] -(31) ReusedExchange [Reuses operator id: 166] +(31) ReusedExchange [Reuses operator id: 162] Output [1]: [d_date_sk#26] (32) BroadcastHashJoin [codegen id : 7] @@ -357,588 +353,571 @@ Results [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, c Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Arguments: hashpartitioning(i_item_id#30, ca_country#31, ca_state#32, ca_county#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 8] -Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] - -(44) HashAggregate [codegen id : 8] +(43) CometHashAggregate Input [18]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, sum#55, count#56, sum#57, count#58, sum#59, count#60, sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] Keys [4]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33] Functions [7]: [avg(agg1#34), avg(agg2#35), avg(agg3#36), avg(agg4#37), avg(agg5#38), avg(agg6#39), avg(agg7#40)] -Aggregate Attributes [7]: [avg(agg1#34)#69, avg(agg2#35)#70, avg(agg3#36)#71, avg(agg4#37)#72, avg(agg5#38)#73, avg(agg6#39)#74, avg(agg7#40)#75] -Results [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, avg(agg1#34)#69 AS agg1#76, avg(agg2#35)#70 AS agg2#77, avg(agg3#36)#71 AS agg3#78, avg(agg4#37)#72 AS agg4#79, avg(agg5#38)#73 AS agg5#80, avg(agg6#39)#74 AS agg6#81, avg(agg7#40)#75 AS agg7#82] -(45) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(44) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#91), dynamicpruningexpression(cs_sold_date_sk#91 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#77), dynamicpruningexpression(cs_sold_date_sk#77 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(46) ColumnarToRow [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] +(45) ColumnarToRow [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] -(47) Filter [codegen id : 15] -Input [9]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91] -Condition : ((isnotnull(cs_bill_cdemo_sk#84) AND isnotnull(cs_bill_customer_sk#83)) AND isnotnull(cs_item_sk#85)) +(46) Filter [codegen id : 14] +Input [9]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77] +Condition : ((isnotnull(cs_bill_cdemo_sk#70) AND isnotnull(cs_bill_customer_sk#69)) AND isnotnull(cs_item_sk#71)) -(48) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#92, cd_dep_count#93] +(47) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#78, cd_dep_count#79] -(49) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_cdemo_sk#84] -Right keys [1]: [cd_demo_sk#92] +(48) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_cdemo_sk#70] +Right keys [1]: [cd_demo_sk#78] Join type: Inner Join condition: None -(50) Project [codegen id : 15] -Output [9]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93] -Input [11]: [cs_bill_customer_sk#83, cs_bill_cdemo_sk#84, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_demo_sk#92, cd_dep_count#93] +(49) Project [codegen id : 14] +Output [9]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79] +Input [11]: [cs_bill_customer_sk#69, cs_bill_cdemo_sk#70, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_demo_sk#78, cd_dep_count#79] -(51) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(50) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(52) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_bill_customer_sk#83] -Right keys [1]: [c_customer_sk#94] +(51) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_bill_customer_sk#69] +Right keys [1]: [c_customer_sk#80] Join type: Inner Join condition: None -(53) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] -Input [13]: [cs_bill_customer_sk#83, cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_customer_sk#94, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97] +(52) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] +Input [13]: [cs_bill_customer_sk#69, cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_customer_sk#80, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83] -(54) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#98] +(53) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#84] -(55) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_cdemo_sk#95] -Right keys [1]: [cd_demo_sk#98] +(54) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_cdemo_sk#81] +Right keys [1]: [cd_demo_sk#84] Join type: Inner Join condition: None -(56) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_cdemo_sk#95, c_current_addr_sk#96, c_birth_year#97, cd_demo_sk#98] +(55) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_cdemo_sk#81, c_current_addr_sk#82, c_birth_year#83, cd_demo_sk#84] -(57) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#99, ca_state#100, ca_country#101] +(56) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#85, ca_state#86, ca_country#87] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(58) CometFilter -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#100, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#99)) +(57) CometFilter +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#86, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#85)) -(59) CometProject -Input [3]: [ca_address_sk#99, ca_state#100, ca_country#101] -Arguments: [ca_address_sk#99, ca_state#102, ca_country#101], [ca_address_sk#99, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#100, 2)) AS ca_state#102, ca_country#101] +(58) CometProject +Input [3]: [ca_address_sk#85, ca_state#86, ca_country#87] +Arguments: [ca_address_sk#85, ca_state#88, ca_country#87], [ca_address_sk#85, static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#86, 2)) AS ca_state#88, ca_country#87] -(60) CometColumnarToRow [codegen id : 12] -Input [3]: [ca_address_sk#99, ca_state#102, ca_country#101] +(59) CometColumnarToRow [codegen id : 11] +Input [3]: [ca_address_sk#85, ca_state#88, ca_country#87] -(61) BroadcastExchange -Input [3]: [ca_address_sk#99, ca_state#102, ca_country#101] +(60) BroadcastExchange +Input [3]: [ca_address_sk#85, ca_state#88, ca_country#87] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] -(62) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [c_current_addr_sk#96] -Right keys [1]: [ca_address_sk#99] +(61) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [c_current_addr_sk#82] +Right keys [1]: [ca_address_sk#85] Join type: Inner Join condition: None -(63) Project [codegen id : 15] -Output [11]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#102, ca_country#101] -Input [13]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_current_addr_sk#96, c_birth_year#97, ca_address_sk#99, ca_state#102, ca_country#101] +(62) Project [codegen id : 14] +Output [11]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#88, ca_country#87] +Input [13]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_current_addr_sk#82, c_birth_year#83, ca_address_sk#85, ca_state#88, ca_country#87] -(64) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#103] +(63) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#89] -(65) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_sold_date_sk#91] -Right keys [1]: [d_date_sk#103] +(64) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_sold_date_sk#77] +Right keys [1]: [d_date_sk#89] Join type: Inner Join condition: None -(66) Project [codegen id : 15] -Output [10]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#102, ca_country#101] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cs_sold_date_sk#91, cd_dep_count#93, c_birth_year#97, ca_state#102, ca_country#101, d_date_sk#103] +(65) Project [codegen id : 14] +Output [10]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#88, ca_country#87] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cs_sold_date_sk#77, cd_dep_count#79, c_birth_year#83, ca_state#88, ca_country#87, d_date_sk#89] -(67) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#104, i_item_id#105] +(66) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#90, i_item_id#91] -(68) BroadcastHashJoin [codegen id : 15] -Left keys [1]: [cs_item_sk#85] -Right keys [1]: [i_item_sk#104] +(67) BroadcastHashJoin [codegen id : 14] +Left keys [1]: [cs_item_sk#71] +Right keys [1]: [i_item_sk#90] Join type: Inner Join condition: None -(69) Project [codegen id : 15] -Output [10]: [i_item_id#105, ca_country#101, ca_state#102, cast(cs_quantity#86 as decimal(12,2)) AS agg1#106, cast(cs_list_price#87 as decimal(12,2)) AS agg2#107, cast(cs_coupon_amt#89 as decimal(12,2)) AS agg3#108, cast(cs_sales_price#88 as decimal(12,2)) AS agg4#109, cast(cs_net_profit#90 as decimal(12,2)) AS agg5#110, cast(c_birth_year#97 as decimal(12,2)) AS agg6#111, cast(cd_dep_count#93 as decimal(12,2)) AS agg7#112] -Input [12]: [cs_item_sk#85, cs_quantity#86, cs_list_price#87, cs_sales_price#88, cs_coupon_amt#89, cs_net_profit#90, cd_dep_count#93, c_birth_year#97, ca_state#102, ca_country#101, i_item_sk#104, i_item_id#105] - -(70) HashAggregate [codegen id : 15] -Input [10]: [i_item_id#105, ca_country#101, ca_state#102, agg1#106, agg2#107, agg3#108, agg4#109, agg5#110, agg6#111, agg7#112] -Keys [3]: [i_item_id#105, ca_country#101, ca_state#102] -Functions [7]: [partial_avg(agg1#106), partial_avg(agg2#107), partial_avg(agg3#108), partial_avg(agg4#109), partial_avg(agg5#110), partial_avg(agg6#111), partial_avg(agg7#112)] -Aggregate Attributes [14]: [sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] -Results [17]: [i_item_id#105, ca_country#101, ca_state#102, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138, sum#139, count#140] - -(71) CometColumnarExchange -Input [17]: [i_item_id#105, ca_country#101, ca_state#102, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138, sum#139, count#140] -Arguments: hashpartitioning(i_item_id#105, ca_country#101, ca_state#102, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(72) CometColumnarToRow [codegen id : 16] -Input [17]: [i_item_id#105, ca_country#101, ca_state#102, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138, sum#139, count#140] - -(73) HashAggregate [codegen id : 16] -Input [17]: [i_item_id#105, ca_country#101, ca_state#102, sum#127, count#128, sum#129, count#130, sum#131, count#132, sum#133, count#134, sum#135, count#136, sum#137, count#138, sum#139, count#140] -Keys [3]: [i_item_id#105, ca_country#101, ca_state#102] -Functions [7]: [avg(agg1#106), avg(agg2#107), avg(agg3#108), avg(agg4#109), avg(agg5#110), avg(agg6#111), avg(agg7#112)] -Aggregate Attributes [7]: [avg(agg1#106)#141, avg(agg2#107)#142, avg(agg3#108)#143, avg(agg4#109)#144, avg(agg5#110)#145, avg(agg6#111)#146, avg(agg7#112)#147] -Results [11]: [i_item_id#105, ca_country#101, ca_state#102, null AS county#148, avg(agg1#106)#141 AS agg1#149, avg(agg2#107)#142 AS agg2#150, avg(agg3#108)#143 AS agg3#151, avg(agg4#109)#144 AS agg4#152, avg(agg5#110)#145 AS agg5#153, avg(agg6#111)#146 AS agg6#154, avg(agg7#112)#147 AS agg7#155] - -(74) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#156, cs_bill_cdemo_sk#157, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164] +(68) Project [codegen id : 14] +Output [10]: [i_item_id#91, ca_country#87, ca_state#88, cast(cs_quantity#72 as decimal(12,2)) AS agg1#92, cast(cs_list_price#73 as decimal(12,2)) AS agg2#93, cast(cs_coupon_amt#75 as decimal(12,2)) AS agg3#94, cast(cs_sales_price#74 as decimal(12,2)) AS agg4#95, cast(cs_net_profit#76 as decimal(12,2)) AS agg5#96, cast(c_birth_year#83 as decimal(12,2)) AS agg6#97, cast(cd_dep_count#79 as decimal(12,2)) AS agg7#98] +Input [12]: [cs_item_sk#71, cs_quantity#72, cs_list_price#73, cs_sales_price#74, cs_coupon_amt#75, cs_net_profit#76, cd_dep_count#79, c_birth_year#83, ca_state#88, ca_country#87, i_item_sk#90, i_item_id#91] + +(69) HashAggregate [codegen id : 14] +Input [10]: [i_item_id#91, ca_country#87, ca_state#88, agg1#92, agg2#93, agg3#94, agg4#95, agg5#96, agg6#97, agg7#98] +Keys [3]: [i_item_id#91, ca_country#87, ca_state#88] +Functions [7]: [partial_avg(agg1#92), partial_avg(agg2#93), partial_avg(agg3#94), partial_avg(agg4#95), partial_avg(agg5#96), partial_avg(agg6#97), partial_avg(agg7#98)] +Aggregate Attributes [14]: [sum#99, count#100, sum#101, count#102, sum#103, count#104, sum#105, count#106, sum#107, count#108, sum#109, count#110, sum#111, count#112] +Results [17]: [i_item_id#91, ca_country#87, ca_state#88, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] + +(70) CometColumnarExchange +Input [17]: [i_item_id#91, ca_country#87, ca_state#88, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] +Arguments: hashpartitioning(i_item_id#91, ca_country#87, ca_state#88, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [17]: [i_item_id#91, ca_country#87, ca_state#88, sum#113, count#114, sum#115, count#116, sum#117, count#118, sum#119, count#120, sum#121, count#122, sum#123, count#124, sum#125, count#126] +Keys [3]: [i_item_id#91, ca_country#87, ca_state#88] +Functions [7]: [avg(agg1#92), avg(agg2#93), avg(agg3#94), avg(agg4#95), avg(agg5#96), avg(agg6#97), avg(agg7#98)] + +(72) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#127, cs_bill_cdemo_sk#128, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#164), dynamicpruningexpression(cs_sold_date_sk#164 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#135), dynamicpruningexpression(cs_sold_date_sk#135 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(75) ColumnarToRow [codegen id : 23] -Input [9]: [cs_bill_customer_sk#156, cs_bill_cdemo_sk#157, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164] +(73) ColumnarToRow [codegen id : 21] +Input [9]: [cs_bill_customer_sk#127, cs_bill_cdemo_sk#128, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135] -(76) Filter [codegen id : 23] -Input [9]: [cs_bill_customer_sk#156, cs_bill_cdemo_sk#157, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164] -Condition : ((isnotnull(cs_bill_cdemo_sk#157) AND isnotnull(cs_bill_customer_sk#156)) AND isnotnull(cs_item_sk#158)) +(74) Filter [codegen id : 21] +Input [9]: [cs_bill_customer_sk#127, cs_bill_cdemo_sk#128, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135] +Condition : ((isnotnull(cs_bill_cdemo_sk#128) AND isnotnull(cs_bill_customer_sk#127)) AND isnotnull(cs_item_sk#129)) -(77) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#165, cd_dep_count#166] +(75) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#136, cd_dep_count#137] -(78) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_cdemo_sk#157] -Right keys [1]: [cd_demo_sk#165] +(76) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_cdemo_sk#128] +Right keys [1]: [cd_demo_sk#136] Join type: Inner Join condition: None -(79) Project [codegen id : 23] -Output [9]: [cs_bill_customer_sk#156, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166] -Input [11]: [cs_bill_customer_sk#156, cs_bill_cdemo_sk#157, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_demo_sk#165, cd_dep_count#166] +(77) Project [codegen id : 21] +Output [9]: [cs_bill_customer_sk#127, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137] +Input [11]: [cs_bill_customer_sk#127, cs_bill_cdemo_sk#128, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_demo_sk#136, cd_dep_count#137] -(80) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#167, c_current_cdemo_sk#168, c_current_addr_sk#169, c_birth_year#170] +(78) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#138, c_current_cdemo_sk#139, c_current_addr_sk#140, c_birth_year#141] -(81) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_bill_customer_sk#156] -Right keys [1]: [c_customer_sk#167] +(79) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_bill_customer_sk#127] +Right keys [1]: [c_customer_sk#138] Join type: Inner Join condition: None -(82) Project [codegen id : 23] -Output [11]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_current_cdemo_sk#168, c_current_addr_sk#169, c_birth_year#170] -Input [13]: [cs_bill_customer_sk#156, cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_customer_sk#167, c_current_cdemo_sk#168, c_current_addr_sk#169, c_birth_year#170] +(80) Project [codegen id : 21] +Output [11]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_current_cdemo_sk#139, c_current_addr_sk#140, c_birth_year#141] +Input [13]: [cs_bill_customer_sk#127, cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_customer_sk#138, c_current_cdemo_sk#139, c_current_addr_sk#140, c_birth_year#141] -(83) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#171] +(81) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#142] -(84) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_cdemo_sk#168] -Right keys [1]: [cd_demo_sk#171] +(82) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_cdemo_sk#139] +Right keys [1]: [cd_demo_sk#142] Join type: Inner Join condition: None -(85) Project [codegen id : 23] -Output [10]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_current_addr_sk#169, c_birth_year#170] -Input [12]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_current_cdemo_sk#168, c_current_addr_sk#169, c_birth_year#170, cd_demo_sk#171] +(83) Project [codegen id : 21] +Output [10]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_current_addr_sk#140, c_birth_year#141] +Input [12]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_current_cdemo_sk#139, c_current_addr_sk#140, c_birth_year#141, cd_demo_sk#142] -(86) CometNativeScan parquet spark_catalog.default.customer_address -Output [3]: [ca_address_sk#172, ca_state#173, ca_country#174] +(84) CometNativeScan parquet spark_catalog.default.customer_address +Output [3]: [ca_address_sk#143, ca_state#144, ca_country#145] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(87) CometFilter -Input [3]: [ca_address_sk#172, ca_state#173, ca_country#174] -Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#173, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#172)) +(85) CometFilter +Input [3]: [ca_address_sk#143, ca_state#144, ca_country#145] +Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#144, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#143)) -(88) CometProject -Input [3]: [ca_address_sk#172, ca_state#173, ca_country#174] -Arguments: [ca_address_sk#172, ca_country#174], [ca_address_sk#172, ca_country#174] +(86) CometProject +Input [3]: [ca_address_sk#143, ca_state#144, ca_country#145] +Arguments: [ca_address_sk#143, ca_country#145], [ca_address_sk#143, ca_country#145] -(89) CometColumnarToRow [codegen id : 20] -Input [2]: [ca_address_sk#172, ca_country#174] +(87) CometColumnarToRow [codegen id : 18] +Input [2]: [ca_address_sk#143, ca_country#145] -(90) BroadcastExchange -Input [2]: [ca_address_sk#172, ca_country#174] +(88) BroadcastExchange +Input [2]: [ca_address_sk#143, ca_country#145] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -(91) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [c_current_addr_sk#169] -Right keys [1]: [ca_address_sk#172] +(89) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [c_current_addr_sk#140] +Right keys [1]: [ca_address_sk#143] Join type: Inner Join condition: None -(92) Project [codegen id : 23] -Output [10]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_birth_year#170, ca_country#174] -Input [12]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_current_addr_sk#169, c_birth_year#170, ca_address_sk#172, ca_country#174] +(90) Project [codegen id : 21] +Output [10]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_birth_year#141, ca_country#145] +Input [12]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_current_addr_sk#140, c_birth_year#141, ca_address_sk#143, ca_country#145] -(93) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#175] +(91) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#146] -(94) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_sold_date_sk#164] -Right keys [1]: [d_date_sk#175] +(92) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_sold_date_sk#135] +Right keys [1]: [d_date_sk#146] Join type: Inner Join condition: None -(95) Project [codegen id : 23] -Output [9]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cd_dep_count#166, c_birth_year#170, ca_country#174] -Input [11]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cs_sold_date_sk#164, cd_dep_count#166, c_birth_year#170, ca_country#174, d_date_sk#175] +(93) Project [codegen id : 21] +Output [9]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cd_dep_count#137, c_birth_year#141, ca_country#145] +Input [11]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cs_sold_date_sk#135, cd_dep_count#137, c_birth_year#141, ca_country#145, d_date_sk#146] -(96) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#176, i_item_id#177] +(94) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#147, i_item_id#148] -(97) BroadcastHashJoin [codegen id : 23] -Left keys [1]: [cs_item_sk#158] -Right keys [1]: [i_item_sk#176] +(95) BroadcastHashJoin [codegen id : 21] +Left keys [1]: [cs_item_sk#129] +Right keys [1]: [i_item_sk#147] Join type: Inner Join condition: None -(98) Project [codegen id : 23] -Output [9]: [i_item_id#177, ca_country#174, cast(cs_quantity#159 as decimal(12,2)) AS agg1#178, cast(cs_list_price#160 as decimal(12,2)) AS agg2#179, cast(cs_coupon_amt#162 as decimal(12,2)) AS agg3#180, cast(cs_sales_price#161 as decimal(12,2)) AS agg4#181, cast(cs_net_profit#163 as decimal(12,2)) AS agg5#182, cast(c_birth_year#170 as decimal(12,2)) AS agg6#183, cast(cd_dep_count#166 as decimal(12,2)) AS agg7#184] -Input [11]: [cs_item_sk#158, cs_quantity#159, cs_list_price#160, cs_sales_price#161, cs_coupon_amt#162, cs_net_profit#163, cd_dep_count#166, c_birth_year#170, ca_country#174, i_item_sk#176, i_item_id#177] - -(99) HashAggregate [codegen id : 23] -Input [9]: [i_item_id#177, ca_country#174, agg1#178, agg2#179, agg3#180, agg4#181, agg5#182, agg6#183, agg7#184] -Keys [2]: [i_item_id#177, ca_country#174] -Functions [7]: [partial_avg(agg1#178), partial_avg(agg2#179), partial_avg(agg3#180), partial_avg(agg4#181), partial_avg(agg5#182), partial_avg(agg6#183), partial_avg(agg7#184)] -Aggregate Attributes [14]: [sum#185, count#186, sum#187, count#188, sum#189, count#190, sum#191, count#192, sum#193, count#194, sum#195, count#196, sum#197, count#198] -Results [16]: [i_item_id#177, ca_country#174, sum#199, count#200, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212] - -(100) CometColumnarExchange -Input [16]: [i_item_id#177, ca_country#174, sum#199, count#200, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212] -Arguments: hashpartitioning(i_item_id#177, ca_country#174, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(101) CometColumnarToRow [codegen id : 24] -Input [16]: [i_item_id#177, ca_country#174, sum#199, count#200, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212] - -(102) HashAggregate [codegen id : 24] -Input [16]: [i_item_id#177, ca_country#174, sum#199, count#200, sum#201, count#202, sum#203, count#204, sum#205, count#206, sum#207, count#208, sum#209, count#210, sum#211, count#212] -Keys [2]: [i_item_id#177, ca_country#174] -Functions [7]: [avg(agg1#178), avg(agg2#179), avg(agg3#180), avg(agg4#181), avg(agg5#182), avg(agg6#183), avg(agg7#184)] -Aggregate Attributes [7]: [avg(agg1#178)#213, avg(agg2#179)#214, avg(agg3#180)#215, avg(agg4#181)#216, avg(agg5#182)#217, avg(agg6#183)#218, avg(agg7#184)#219] -Results [11]: [i_item_id#177, ca_country#174, null AS ca_state#220, null AS county#221, avg(agg1#178)#213 AS agg1#222, avg(agg2#179)#214 AS agg2#223, avg(agg3#180)#215 AS agg3#224, avg(agg4#181)#216 AS agg4#225, avg(agg5#182)#217 AS agg5#226, avg(agg6#183)#218 AS agg6#227, avg(agg7#184)#219 AS agg7#228] - -(103) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#229, cs_bill_cdemo_sk#230, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237] +(96) Project [codegen id : 21] +Output [9]: [i_item_id#148, ca_country#145, cast(cs_quantity#130 as decimal(12,2)) AS agg1#149, cast(cs_list_price#131 as decimal(12,2)) AS agg2#150, cast(cs_coupon_amt#133 as decimal(12,2)) AS agg3#151, cast(cs_sales_price#132 as decimal(12,2)) AS agg4#152, cast(cs_net_profit#134 as decimal(12,2)) AS agg5#153, cast(c_birth_year#141 as decimal(12,2)) AS agg6#154, cast(cd_dep_count#137 as decimal(12,2)) AS agg7#155] +Input [11]: [cs_item_sk#129, cs_quantity#130, cs_list_price#131, cs_sales_price#132, cs_coupon_amt#133, cs_net_profit#134, cd_dep_count#137, c_birth_year#141, ca_country#145, i_item_sk#147, i_item_id#148] + +(97) HashAggregate [codegen id : 21] +Input [9]: [i_item_id#148, ca_country#145, agg1#149, agg2#150, agg3#151, agg4#152, agg5#153, agg6#154, agg7#155] +Keys [2]: [i_item_id#148, ca_country#145] +Functions [7]: [partial_avg(agg1#149), partial_avg(agg2#150), partial_avg(agg3#151), partial_avg(agg4#152), partial_avg(agg5#153), partial_avg(agg6#154), partial_avg(agg7#155)] +Aggregate Attributes [14]: [sum#156, count#157, sum#158, count#159, sum#160, count#161, sum#162, count#163, sum#164, count#165, sum#166, count#167, sum#168, count#169] +Results [16]: [i_item_id#148, ca_country#145, sum#170, count#171, sum#172, count#173, sum#174, count#175, sum#176, count#177, sum#178, count#179, sum#180, count#181, sum#182, count#183] + +(98) CometColumnarExchange +Input [16]: [i_item_id#148, ca_country#145, sum#170, count#171, sum#172, count#173, sum#174, count#175, sum#176, count#177, sum#178, count#179, sum#180, count#181, sum#182, count#183] +Arguments: hashpartitioning(i_item_id#148, ca_country#145, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(99) CometHashAggregate +Input [16]: [i_item_id#148, ca_country#145, sum#170, count#171, sum#172, count#173, sum#174, count#175, sum#176, count#177, sum#178, count#179, sum#180, count#181, sum#182, count#183] +Keys [2]: [i_item_id#148, ca_country#145] +Functions [7]: [avg(agg1#149), avg(agg2#150), avg(agg3#151), avg(agg4#152), avg(agg5#153), avg(agg6#154), avg(agg7#155)] + +(100) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#184, cs_bill_cdemo_sk#185, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#237), dynamicpruningexpression(cs_sold_date_sk#237 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#192), dynamicpruningexpression(cs_sold_date_sk#192 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(104) ColumnarToRow [codegen id : 31] -Input [9]: [cs_bill_customer_sk#229, cs_bill_cdemo_sk#230, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237] +(101) ColumnarToRow [codegen id : 28] +Input [9]: [cs_bill_customer_sk#184, cs_bill_cdemo_sk#185, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192] -(105) Filter [codegen id : 31] -Input [9]: [cs_bill_customer_sk#229, cs_bill_cdemo_sk#230, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237] -Condition : ((isnotnull(cs_bill_cdemo_sk#230) AND isnotnull(cs_bill_customer_sk#229)) AND isnotnull(cs_item_sk#231)) +(102) Filter [codegen id : 28] +Input [9]: [cs_bill_customer_sk#184, cs_bill_cdemo_sk#185, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192] +Condition : ((isnotnull(cs_bill_cdemo_sk#185) AND isnotnull(cs_bill_customer_sk#184)) AND isnotnull(cs_item_sk#186)) -(106) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#238, cd_dep_count#239] +(103) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#193, cd_dep_count#194] -(107) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_cdemo_sk#230] -Right keys [1]: [cd_demo_sk#238] +(104) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_cdemo_sk#185] +Right keys [1]: [cd_demo_sk#193] Join type: Inner Join condition: None -(108) Project [codegen id : 31] -Output [9]: [cs_bill_customer_sk#229, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239] -Input [11]: [cs_bill_customer_sk#229, cs_bill_cdemo_sk#230, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_demo_sk#238, cd_dep_count#239] +(105) Project [codegen id : 28] +Output [9]: [cs_bill_customer_sk#184, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194] +Input [11]: [cs_bill_customer_sk#184, cs_bill_cdemo_sk#185, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_demo_sk#193, cd_dep_count#194] -(109) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#240, c_current_cdemo_sk#241, c_current_addr_sk#242, c_birth_year#243] +(106) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#195, c_current_cdemo_sk#196, c_current_addr_sk#197, c_birth_year#198] -(110) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_bill_customer_sk#229] -Right keys [1]: [c_customer_sk#240] +(107) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_bill_customer_sk#184] +Right keys [1]: [c_customer_sk#195] Join type: Inner Join condition: None -(111) Project [codegen id : 31] -Output [11]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_current_cdemo_sk#241, c_current_addr_sk#242, c_birth_year#243] -Input [13]: [cs_bill_customer_sk#229, cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_customer_sk#240, c_current_cdemo_sk#241, c_current_addr_sk#242, c_birth_year#243] +(108) Project [codegen id : 28] +Output [11]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_current_cdemo_sk#196, c_current_addr_sk#197, c_birth_year#198] +Input [13]: [cs_bill_customer_sk#184, cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_customer_sk#195, c_current_cdemo_sk#196, c_current_addr_sk#197, c_birth_year#198] -(112) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#244] +(109) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#199] -(113) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_cdemo_sk#241] -Right keys [1]: [cd_demo_sk#244] +(110) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_cdemo_sk#196] +Right keys [1]: [cd_demo_sk#199] Join type: Inner Join condition: None -(114) Project [codegen id : 31] -Output [10]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_current_addr_sk#242, c_birth_year#243] -Input [12]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_current_cdemo_sk#241, c_current_addr_sk#242, c_birth_year#243, cd_demo_sk#244] +(111) Project [codegen id : 28] +Output [10]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_current_addr_sk#197, c_birth_year#198] +Input [12]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_current_cdemo_sk#196, c_current_addr_sk#197, c_birth_year#198, cd_demo_sk#199] -(115) CometNativeScan parquet spark_catalog.default.customer_address -Output [2]: [ca_address_sk#245, ca_state#246] +(112) CometNativeScan parquet spark_catalog.default.customer_address +Output [2]: [ca_address_sk#200, ca_state#201] Batched: true Location [not included in comparison]/{warehouse_dir}/customer_address] PushedFilters: [IsNotNull(ca_address_sk)] ReadSchema: struct -(116) CometFilter -Input [2]: [ca_address_sk#245, ca_state#246] -Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#246, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#245)) +(113) CometFilter +Input [2]: [ca_address_sk#200, ca_state#201] +Condition : (static_invoke(CharVarcharCodegenUtils.readSidePadding(ca_state#201, 2)) IN (ND,WI,AL,NC,OK,MS,TN) AND isnotnull(ca_address_sk#200)) -(117) CometProject -Input [2]: [ca_address_sk#245, ca_state#246] -Arguments: [ca_address_sk#245], [ca_address_sk#245] +(114) CometProject +Input [2]: [ca_address_sk#200, ca_state#201] +Arguments: [ca_address_sk#200], [ca_address_sk#200] -(118) CometColumnarToRow [codegen id : 28] -Input [1]: [ca_address_sk#245] +(115) CometColumnarToRow [codegen id : 25] +Input [1]: [ca_address_sk#200] -(119) BroadcastExchange -Input [1]: [ca_address_sk#245] +(116) BroadcastExchange +Input [1]: [ca_address_sk#200] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -(120) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [c_current_addr_sk#242] -Right keys [1]: [ca_address_sk#245] +(117) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [c_current_addr_sk#197] +Right keys [1]: [ca_address_sk#200] Join type: Inner Join condition: None -(121) Project [codegen id : 31] -Output [9]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_birth_year#243] -Input [11]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_current_addr_sk#242, c_birth_year#243, ca_address_sk#245] +(118) Project [codegen id : 28] +Output [9]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_birth_year#198] +Input [11]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_current_addr_sk#197, c_birth_year#198, ca_address_sk#200] -(122) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#247] +(119) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#202] -(123) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_sold_date_sk#237] -Right keys [1]: [d_date_sk#247] +(120) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_sold_date_sk#192] +Right keys [1]: [d_date_sk#202] Join type: Inner Join condition: None -(124) Project [codegen id : 31] -Output [8]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cd_dep_count#239, c_birth_year#243] -Input [10]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cs_sold_date_sk#237, cd_dep_count#239, c_birth_year#243, d_date_sk#247] +(121) Project [codegen id : 28] +Output [8]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cd_dep_count#194, c_birth_year#198] +Input [10]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cs_sold_date_sk#192, cd_dep_count#194, c_birth_year#198, d_date_sk#202] -(125) ReusedExchange [Reuses operator id: 38] -Output [2]: [i_item_sk#248, i_item_id#249] +(122) ReusedExchange [Reuses operator id: 38] +Output [2]: [i_item_sk#203, i_item_id#204] -(126) BroadcastHashJoin [codegen id : 31] -Left keys [1]: [cs_item_sk#231] -Right keys [1]: [i_item_sk#248] +(123) BroadcastHashJoin [codegen id : 28] +Left keys [1]: [cs_item_sk#186] +Right keys [1]: [i_item_sk#203] Join type: Inner Join condition: None -(127) Project [codegen id : 31] -Output [8]: [i_item_id#249, cast(cs_quantity#232 as decimal(12,2)) AS agg1#250, cast(cs_list_price#233 as decimal(12,2)) AS agg2#251, cast(cs_coupon_amt#235 as decimal(12,2)) AS agg3#252, cast(cs_sales_price#234 as decimal(12,2)) AS agg4#253, cast(cs_net_profit#236 as decimal(12,2)) AS agg5#254, cast(c_birth_year#243 as decimal(12,2)) AS agg6#255, cast(cd_dep_count#239 as decimal(12,2)) AS agg7#256] -Input [10]: [cs_item_sk#231, cs_quantity#232, cs_list_price#233, cs_sales_price#234, cs_coupon_amt#235, cs_net_profit#236, cd_dep_count#239, c_birth_year#243, i_item_sk#248, i_item_id#249] - -(128) HashAggregate [codegen id : 31] -Input [8]: [i_item_id#249, agg1#250, agg2#251, agg3#252, agg4#253, agg5#254, agg6#255, agg7#256] -Keys [1]: [i_item_id#249] -Functions [7]: [partial_avg(agg1#250), partial_avg(agg2#251), partial_avg(agg3#252), partial_avg(agg4#253), partial_avg(agg5#254), partial_avg(agg6#255), partial_avg(agg7#256)] -Aggregate Attributes [14]: [sum#257, count#258, sum#259, count#260, sum#261, count#262, sum#263, count#264, sum#265, count#266, sum#267, count#268, sum#269, count#270] -Results [15]: [i_item_id#249, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280, sum#281, count#282, sum#283, count#284] - -(129) CometColumnarExchange -Input [15]: [i_item_id#249, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280, sum#281, count#282, sum#283, count#284] -Arguments: hashpartitioning(i_item_id#249, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(130) CometColumnarToRow [codegen id : 32] -Input [15]: [i_item_id#249, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280, sum#281, count#282, sum#283, count#284] - -(131) HashAggregate [codegen id : 32] -Input [15]: [i_item_id#249, sum#271, count#272, sum#273, count#274, sum#275, count#276, sum#277, count#278, sum#279, count#280, sum#281, count#282, sum#283, count#284] -Keys [1]: [i_item_id#249] -Functions [7]: [avg(agg1#250), avg(agg2#251), avg(agg3#252), avg(agg4#253), avg(agg5#254), avg(agg6#255), avg(agg7#256)] -Aggregate Attributes [7]: [avg(agg1#250)#285, avg(agg2#251)#286, avg(agg3#252)#287, avg(agg4#253)#288, avg(agg5#254)#289, avg(agg6#255)#290, avg(agg7#256)#291] -Results [11]: [i_item_id#249, null AS ca_country#292, null AS ca_state#293, null AS county#294, avg(agg1#250)#285 AS agg1#295, avg(agg2#251)#286 AS agg2#296, avg(agg3#252)#287 AS agg3#297, avg(agg4#253)#288 AS agg4#298, avg(agg5#254)#289 AS agg5#299, avg(agg6#255)#290 AS agg6#300, avg(agg7#256)#291 AS agg7#301] - -(132) Scan parquet spark_catalog.default.catalog_sales -Output [9]: [cs_bill_customer_sk#302, cs_bill_cdemo_sk#303, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310] +(124) Project [codegen id : 28] +Output [8]: [i_item_id#204, cast(cs_quantity#187 as decimal(12,2)) AS agg1#205, cast(cs_list_price#188 as decimal(12,2)) AS agg2#206, cast(cs_coupon_amt#190 as decimal(12,2)) AS agg3#207, cast(cs_sales_price#189 as decimal(12,2)) AS agg4#208, cast(cs_net_profit#191 as decimal(12,2)) AS agg5#209, cast(c_birth_year#198 as decimal(12,2)) AS agg6#210, cast(cd_dep_count#194 as decimal(12,2)) AS agg7#211] +Input [10]: [cs_item_sk#186, cs_quantity#187, cs_list_price#188, cs_sales_price#189, cs_coupon_amt#190, cs_net_profit#191, cd_dep_count#194, c_birth_year#198, i_item_sk#203, i_item_id#204] + +(125) HashAggregate [codegen id : 28] +Input [8]: [i_item_id#204, agg1#205, agg2#206, agg3#207, agg4#208, agg5#209, agg6#210, agg7#211] +Keys [1]: [i_item_id#204] +Functions [7]: [partial_avg(agg1#205), partial_avg(agg2#206), partial_avg(agg3#207), partial_avg(agg4#208), partial_avg(agg5#209), partial_avg(agg6#210), partial_avg(agg7#211)] +Aggregate Attributes [14]: [sum#212, count#213, sum#214, count#215, sum#216, count#217, sum#218, count#219, sum#220, count#221, sum#222, count#223, sum#224, count#225] +Results [15]: [i_item_id#204, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235, sum#236, count#237, sum#238, count#239] + +(126) CometColumnarExchange +Input [15]: [i_item_id#204, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235, sum#236, count#237, sum#238, count#239] +Arguments: hashpartitioning(i_item_id#204, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] + +(127) CometHashAggregate +Input [15]: [i_item_id#204, sum#226, count#227, sum#228, count#229, sum#230, count#231, sum#232, count#233, sum#234, count#235, sum#236, count#237, sum#238, count#239] +Keys [1]: [i_item_id#204] +Functions [7]: [avg(agg1#205), avg(agg2#206), avg(agg3#207), avg(agg4#208), avg(agg5#209), avg(agg6#210), avg(agg7#211)] + +(128) Scan parquet spark_catalog.default.catalog_sales +Output [9]: [cs_bill_customer_sk#240, cs_bill_cdemo_sk#241, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#310), dynamicpruningexpression(cs_sold_date_sk#310 IN dynamicpruning#10)] +PartitionFilters: [isnotnull(cs_sold_date_sk#248), dynamicpruningexpression(cs_sold_date_sk#248 IN dynamicpruning#10)] PushedFilters: [IsNotNull(cs_bill_cdemo_sk), IsNotNull(cs_bill_customer_sk), IsNotNull(cs_item_sk)] ReadSchema: struct -(133) ColumnarToRow [codegen id : 39] -Input [9]: [cs_bill_customer_sk#302, cs_bill_cdemo_sk#303, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310] +(129) ColumnarToRow [codegen id : 35] +Input [9]: [cs_bill_customer_sk#240, cs_bill_cdemo_sk#241, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248] -(134) Filter [codegen id : 39] -Input [9]: [cs_bill_customer_sk#302, cs_bill_cdemo_sk#303, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310] -Condition : ((isnotnull(cs_bill_cdemo_sk#303) AND isnotnull(cs_bill_customer_sk#302)) AND isnotnull(cs_item_sk#304)) +(130) Filter [codegen id : 35] +Input [9]: [cs_bill_customer_sk#240, cs_bill_cdemo_sk#241, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248] +Condition : ((isnotnull(cs_bill_cdemo_sk#241) AND isnotnull(cs_bill_customer_sk#240)) AND isnotnull(cs_item_sk#242)) -(135) ReusedExchange [Reuses operator id: 8] -Output [2]: [cd_demo_sk#311, cd_dep_count#312] +(131) ReusedExchange [Reuses operator id: 8] +Output [2]: [cd_demo_sk#249, cd_dep_count#250] -(136) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_cdemo_sk#303] -Right keys [1]: [cd_demo_sk#311] +(132) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_cdemo_sk#241] +Right keys [1]: [cd_demo_sk#249] Join type: Inner Join condition: None -(137) Project [codegen id : 39] -Output [9]: [cs_bill_customer_sk#302, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312] -Input [11]: [cs_bill_customer_sk#302, cs_bill_cdemo_sk#303, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_demo_sk#311, cd_dep_count#312] +(133) Project [codegen id : 35] +Output [9]: [cs_bill_customer_sk#240, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250] +Input [11]: [cs_bill_customer_sk#240, cs_bill_cdemo_sk#241, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_demo_sk#249, cd_dep_count#250] -(138) ReusedExchange [Reuses operator id: 15] -Output [4]: [c_customer_sk#313, c_current_cdemo_sk#314, c_current_addr_sk#315, c_birth_year#316] +(134) ReusedExchange [Reuses operator id: 15] +Output [4]: [c_customer_sk#251, c_current_cdemo_sk#252, c_current_addr_sk#253, c_birth_year#254] -(139) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_bill_customer_sk#302] -Right keys [1]: [c_customer_sk#313] +(135) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_bill_customer_sk#240] +Right keys [1]: [c_customer_sk#251] Join type: Inner Join condition: None -(140) Project [codegen id : 39] -Output [11]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_current_cdemo_sk#314, c_current_addr_sk#315, c_birth_year#316] -Input [13]: [cs_bill_customer_sk#302, cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_customer_sk#313, c_current_cdemo_sk#314, c_current_addr_sk#315, c_birth_year#316] +(136) Project [codegen id : 35] +Output [11]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_current_cdemo_sk#252, c_current_addr_sk#253, c_birth_year#254] +Input [13]: [cs_bill_customer_sk#240, cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_customer_sk#251, c_current_cdemo_sk#252, c_current_addr_sk#253, c_birth_year#254] -(141) ReusedExchange [Reuses operator id: 21] -Output [1]: [cd_demo_sk#317] +(137) ReusedExchange [Reuses operator id: 21] +Output [1]: [cd_demo_sk#255] -(142) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_cdemo_sk#314] -Right keys [1]: [cd_demo_sk#317] +(138) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_cdemo_sk#252] +Right keys [1]: [cd_demo_sk#255] Join type: Inner Join condition: None -(143) Project [codegen id : 39] -Output [10]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_current_addr_sk#315, c_birth_year#316] -Input [12]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_current_cdemo_sk#314, c_current_addr_sk#315, c_birth_year#316, cd_demo_sk#317] +(139) Project [codegen id : 35] +Output [10]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_current_addr_sk#253, c_birth_year#254] +Input [12]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_current_cdemo_sk#252, c_current_addr_sk#253, c_birth_year#254, cd_demo_sk#255] -(144) ReusedExchange [Reuses operator id: 119] -Output [1]: [ca_address_sk#318] +(140) ReusedExchange [Reuses operator id: 116] +Output [1]: [ca_address_sk#256] -(145) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [c_current_addr_sk#315] -Right keys [1]: [ca_address_sk#318] +(141) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [c_current_addr_sk#253] +Right keys [1]: [ca_address_sk#256] Join type: Inner Join condition: None -(146) Project [codegen id : 39] -Output [9]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_birth_year#316] -Input [11]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_current_addr_sk#315, c_birth_year#316, ca_address_sk#318] +(142) Project [codegen id : 35] +Output [9]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_birth_year#254] +Input [11]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_current_addr_sk#253, c_birth_year#254, ca_address_sk#256] -(147) ReusedExchange [Reuses operator id: 166] -Output [1]: [d_date_sk#319] +(143) ReusedExchange [Reuses operator id: 162] +Output [1]: [d_date_sk#257] -(148) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_sold_date_sk#310] -Right keys [1]: [d_date_sk#319] +(144) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_sold_date_sk#248] +Right keys [1]: [d_date_sk#257] Join type: Inner Join condition: None -(149) Project [codegen id : 39] -Output [8]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cd_dep_count#312, c_birth_year#316] -Input [10]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cs_sold_date_sk#310, cd_dep_count#312, c_birth_year#316, d_date_sk#319] +(145) Project [codegen id : 35] +Output [8]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cd_dep_count#250, c_birth_year#254] +Input [10]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cs_sold_date_sk#248, cd_dep_count#250, c_birth_year#254, d_date_sk#257] -(150) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#320] +(146) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#258] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(151) CometFilter -Input [1]: [i_item_sk#320] -Condition : isnotnull(i_item_sk#320) +(147) CometFilter +Input [1]: [i_item_sk#258] +Condition : isnotnull(i_item_sk#258) -(152) CometColumnarToRow [codegen id : 38] -Input [1]: [i_item_sk#320] +(148) CometColumnarToRow [codegen id : 34] +Input [1]: [i_item_sk#258] -(153) BroadcastExchange -Input [1]: [i_item_sk#320] +(149) BroadcastExchange +Input [1]: [i_item_sk#258] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] -(154) BroadcastHashJoin [codegen id : 39] -Left keys [1]: [cs_item_sk#304] -Right keys [1]: [i_item_sk#320] +(150) BroadcastHashJoin [codegen id : 35] +Left keys [1]: [cs_item_sk#242] +Right keys [1]: [i_item_sk#258] Join type: Inner Join condition: None -(155) Project [codegen id : 39] -Output [7]: [cast(cs_quantity#305 as decimal(12,2)) AS agg1#321, cast(cs_list_price#306 as decimal(12,2)) AS agg2#322, cast(cs_coupon_amt#308 as decimal(12,2)) AS agg3#323, cast(cs_sales_price#307 as decimal(12,2)) AS agg4#324, cast(cs_net_profit#309 as decimal(12,2)) AS agg5#325, cast(c_birth_year#316 as decimal(12,2)) AS agg6#326, cast(cd_dep_count#312 as decimal(12,2)) AS agg7#327] -Input [9]: [cs_item_sk#304, cs_quantity#305, cs_list_price#306, cs_sales_price#307, cs_coupon_amt#308, cs_net_profit#309, cd_dep_count#312, c_birth_year#316, i_item_sk#320] +(151) Project [codegen id : 35] +Output [7]: [cast(cs_quantity#243 as decimal(12,2)) AS agg1#259, cast(cs_list_price#244 as decimal(12,2)) AS agg2#260, cast(cs_coupon_amt#246 as decimal(12,2)) AS agg3#261, cast(cs_sales_price#245 as decimal(12,2)) AS agg4#262, cast(cs_net_profit#247 as decimal(12,2)) AS agg5#263, cast(c_birth_year#254 as decimal(12,2)) AS agg6#264, cast(cd_dep_count#250 as decimal(12,2)) AS agg7#265] +Input [9]: [cs_item_sk#242, cs_quantity#243, cs_list_price#244, cs_sales_price#245, cs_coupon_amt#246, cs_net_profit#247, cd_dep_count#250, c_birth_year#254, i_item_sk#258] -(156) HashAggregate [codegen id : 39] -Input [7]: [agg1#321, agg2#322, agg3#323, agg4#324, agg5#325, agg6#326, agg7#327] +(152) HashAggregate [codegen id : 35] +Input [7]: [agg1#259, agg2#260, agg3#261, agg4#262, agg5#263, agg6#264, agg7#265] Keys: [] -Functions [7]: [partial_avg(agg1#321), partial_avg(agg2#322), partial_avg(agg3#323), partial_avg(agg4#324), partial_avg(agg5#325), partial_avg(agg6#326), partial_avg(agg7#327)] -Aggregate Attributes [14]: [sum#328, count#329, sum#330, count#331, sum#332, count#333, sum#334, count#335, sum#336, count#337, sum#338, count#339, sum#340, count#341] -Results [14]: [sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351, sum#352, count#353, sum#354, count#355] +Functions [7]: [partial_avg(agg1#259), partial_avg(agg2#260), partial_avg(agg3#261), partial_avg(agg4#262), partial_avg(agg5#263), partial_avg(agg6#264), partial_avg(agg7#265)] +Aggregate Attributes [14]: [sum#266, count#267, sum#268, count#269, sum#270, count#271, sum#272, count#273, sum#274, count#275, sum#276, count#277, sum#278, count#279] +Results [14]: [sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289, sum#290, count#291, sum#292, count#293] -(157) CometColumnarExchange -Input [14]: [sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351, sum#352, count#353, sum#354, count#355] +(153) CometColumnarExchange +Input [14]: [sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289, sum#290, count#291, sum#292, count#293] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] -(158) CometColumnarToRow [codegen id : 40] -Input [14]: [sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351, sum#352, count#353, sum#354, count#355] - -(159) HashAggregate [codegen id : 40] -Input [14]: [sum#342, count#343, sum#344, count#345, sum#346, count#347, sum#348, count#349, sum#350, count#351, sum#352, count#353, sum#354, count#355] +(154) CometHashAggregate +Input [14]: [sum#280, count#281, sum#282, count#283, sum#284, count#285, sum#286, count#287, sum#288, count#289, sum#290, count#291, sum#292, count#293] Keys: [] -Functions [7]: [avg(agg1#321), avg(agg2#322), avg(agg3#323), avg(agg4#324), avg(agg5#325), avg(agg6#326), avg(agg7#327)] -Aggregate Attributes [7]: [avg(agg1#321)#356, avg(agg2#322)#357, avg(agg3#323)#358, avg(agg4#324)#359, avg(agg5#325)#360, avg(agg6#326)#361, avg(agg7#327)#362] -Results [11]: [null AS i_item_id#363, null AS ca_country#364, null AS ca_state#365, null AS county#366, avg(agg1#321)#356 AS agg1#367, avg(agg2#322)#357 AS agg2#368, avg(agg3#323)#358 AS agg3#369, avg(agg4#324)#359 AS agg4#370, avg(agg5#325)#360 AS agg5#371, avg(agg6#326)#361 AS agg6#372, avg(agg7#327)#362 AS agg7#373] +Functions [7]: [avg(agg1#259), avg(agg2#260), avg(agg3#261), avg(agg4#262), avg(agg5#263), avg(agg6#264), avg(agg7#265)] + +(155) CometUnion +Child 0 Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#294, agg2#295, agg3#296, agg4#297, agg5#298, agg6#299, agg7#300] +Child 1 Input [11]: [i_item_id#91, ca_country#87, ca_state#88, county#301, agg1#302, agg2#303, agg3#304, agg4#305, agg5#306, agg6#307, agg7#308] +Child 2 Input [11]: [i_item_id#148, ca_country#145, ca_state#309, county#310, agg1#311, agg2#312, agg3#313, agg4#314, agg5#315, agg6#316, agg7#317] +Child 3 Input [11]: [i_item_id#204, ca_country#318, ca_state#319, county#320, agg1#321, agg2#322, agg3#323, agg4#324, agg5#325, agg6#326, agg7#327] +Child 4 Input [11]: [i_item_id#328, ca_country#329, ca_state#330, county#331, agg1#332, agg2#333, agg3#334, agg4#335, agg5#336, agg6#337, agg7#338] -(160) Union +(156) CometTakeOrderedAndProject +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#294, agg2#295, agg3#296, agg4#297, agg5#298, agg6#299, agg7#300] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_country#31 ASC NULLS FIRST,ca_state#32 ASC NULLS FIRST,ca_county#33 ASC NULLS FIRST,i_item_id#30 ASC NULLS FIRST], output=[i_item_id#30,ca_country#31,ca_state#32,ca_county#33,agg1#294,agg2#295,agg3#296,agg4#297,agg5#298,agg6#299,agg7#300]), [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#294, agg2#295, agg3#296, agg4#297, agg5#298, agg6#299, agg7#300], 100, 0, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#294, agg2#295, agg3#296, agg4#297, agg5#298, agg6#299, agg7#300] -(161) TakeOrderedAndProject -Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] -Arguments: 100, [ca_country#31 ASC NULLS FIRST, ca_state#32 ASC NULLS FIRST, ca_county#33 ASC NULLS FIRST, i_item_id#30 ASC NULLS FIRST], [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#76, agg2#77, agg3#78, agg4#79, agg5#80, agg6#81, agg7#82] +(157) CometColumnarToRow [codegen id : 36] +Input [11]: [i_item_id#30, ca_country#31, ca_state#32, ca_county#33, agg1#294, agg2#295, agg3#296, agg4#297, agg5#298, agg6#299, agg7#300] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (166) -+- * CometColumnarToRow (165) - +- CometProject (164) - +- CometFilter (163) - +- CometNativeScan parquet spark_catalog.default.date_dim (162) +BroadcastExchange (162) ++- * CometColumnarToRow (161) + +- CometProject (160) + +- CometFilter (159) + +- CometNativeScan parquet spark_catalog.default.date_dim (158) -(162) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#26, d_year#374] +(158) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#26, d_year#339] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(163) CometFilter -Input [2]: [d_date_sk#26, d_year#374] -Condition : ((isnotnull(d_year#374) AND (d_year#374 = 2001)) AND isnotnull(d_date_sk#26)) +(159) CometFilter +Input [2]: [d_date_sk#26, d_year#339] +Condition : ((isnotnull(d_year#339) AND (d_year#339 = 2001)) AND isnotnull(d_date_sk#26)) -(164) CometProject -Input [2]: [d_date_sk#26, d_year#374] +(160) CometProject +Input [2]: [d_date_sk#26, d_year#339] Arguments: [d_date_sk#26], [d_date_sk#26] -(165) CometColumnarToRow [codegen id : 1] +(161) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#26] -(166) BroadcastExchange +(162) BroadcastExchange Input [1]: [d_date_sk#26] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=15] -Subquery:2 Hosting operator id = 45 Hosting Expression = cs_sold_date_sk#91 IN dynamicpruning#10 +Subquery:2 Hosting operator id = 44 Hosting Expression = cs_sold_date_sk#77 IN dynamicpruning#10 -Subquery:3 Hosting operator id = 74 Hosting Expression = cs_sold_date_sk#164 IN dynamicpruning#10 +Subquery:3 Hosting operator id = 72 Hosting Expression = cs_sold_date_sk#135 IN dynamicpruning#10 -Subquery:4 Hosting operator id = 103 Hosting Expression = cs_sold_date_sk#237 IN dynamicpruning#10 +Subquery:4 Hosting operator id = 100 Hosting Expression = cs_sold_date_sk#192 IN dynamicpruning#10 -Subquery:5 Hosting operator id = 132 Hosting Expression = cs_sold_date_sk#310 IN dynamicpruning#10 +Subquery:5 Hosting operator id = 128 Hosting Expression = cs_sold_date_sk#248 IN dynamicpruning#10 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/extended.txt index eb411c16e8..c01d85590f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/extended.txt @@ -1,208 +1,204 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- SubqueryBroadcast - : : : : : : : +- BroadcastExchange - : : : : : : : +- CometColumnarToRow - : : : : : : : +- CometProject - : : : : : : : +- CometFilter - : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Project - : : : : : +- BroadcastHashJoin - : : : : : :- Project - : : : : : : +- BroadcastHashJoin - : : : : : : :- Filter - : : : : : : : +- ColumnarToRow - : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : : : +- ReusedSubquery - : : : : : : +- BroadcastExchange - : : : : : : +- CometColumnarToRow - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer_address - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- SubqueryBroadcast + : : : : : : : +- BroadcastExchange + : : : : : : : +- CometColumnarToRow + : : : : : : : +- CometProject + : : : : : : : +- CometFilter + : : : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Project + : : : : : +- BroadcastHashJoin + : : : : : :- Project + : : : : : : +- BroadcastHashJoin + : : : : : : :- Filter + : : : : : : : +- ColumnarToRow + : : : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : : : +- ReusedSubquery + : : : : : : +- BroadcastExchange + : : : : : : +- CometColumnarToRow + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer_address + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -250,4 +246,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 92 out of 210 eligible operators (43%). Final plan contains 41 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 99 out of 210 eligible operators (47%). Final plan contains 37 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/simplified.txt index 71745258b5..1150975e5e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q18a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] - Union - WholeStageCodegen (8) - HashAggregate [i_item_id,ca_country,ca_state,ca_county,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (36) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometUnion [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state,ca_county] #1 WholeStageCodegen (7) HashAggregate [i_item_id,ca_country,ca_state,ca_county,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -72,12 +72,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (16) - HashAggregate [i_item_id,ca_country,ca_state,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country,ca_state] #8 - WholeStageCodegen (15) + WholeStageCodegen (14) HashAggregate [i_item_id,ca_country,ca_state,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,ca_state,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -104,7 +101,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #9 - WholeStageCodegen (12) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometProject [ca_state] [ca_address_sk,ca_state,ca_country] @@ -114,12 +111,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (24) - HashAggregate [i_item_id,ca_country,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id,ca_country] #10 - WholeStageCodegen (23) + WholeStageCodegen (21) HashAggregate [i_item_id,ca_country,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ca_country,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -146,7 +140,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #11 - WholeStageCodegen (20) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometProject [ca_address_sk,ca_country] @@ -156,12 +150,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (32) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange [i_item_id] #12 - WholeStageCodegen (31) + WholeStageCodegen (28) HashAggregate [i_item_id,agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -188,7 +179,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [cd_demo_sk] #5 InputAdapter BroadcastExchange #13 - WholeStageCodegen (28) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometProject [ca_address_sk] @@ -198,12 +189,9 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter ReusedExchange [i_item_sk,i_item_id] #7 - WholeStageCodegen (40) - HashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7),i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] [i_item_id,ca_country,ca_state,county,agg1,agg2,agg3,agg4,agg5,agg6,agg7,avg(agg1),avg(agg2),avg(agg3),avg(agg4),avg(agg5),avg(agg6),avg(agg7)] CometColumnarExchange #14 - WholeStageCodegen (39) + WholeStageCodegen (35) HashAggregate [agg1,agg2,agg3,agg4,agg5,agg6,agg7] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [cs_quantity,cs_list_price,cs_coupon_amt,cs_sales_price,cs_net_profit,c_birth_year,cd_dep_count] BroadcastHashJoin [cs_item_sk,i_item_sk] @@ -234,7 +222,7 @@ TakeOrderedAndProject [ca_country,ca_state,ca_county,i_item_id,agg1,agg2,agg3,ag ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #15 - WholeStageCodegen (38) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/explain.txt index 4da3e0a758..fd91b9ea54 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/explain.txt @@ -1,27 +1,26 @@ == Physical Plan == -TakeOrderedAndProject (23) -+- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.catalog_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +TakeOrderedAndProject (22) ++- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.catalog_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.catalog_sales @@ -71,7 +70,7 @@ Join condition: None Output [7]: [cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [cs_item_sk#1, cs_ext_sales_price#2, cs_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 28] +(11) ReusedExchange [Reuses operator id: 27] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -95,68 +94,63 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(cs_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) TakeOrderedAndProject -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(22) TakeOrderedAndProject +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: 100, [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST], [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = cs_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (28) -+- * CometColumnarToRow (27) - +- CometProject (26) - +- CometFilter (25) - +- CometNativeScan parquet spark_catalog.default.date_dim (24) +BroadcastExchange (27) ++- * CometColumnarToRow (26) + +- CometProject (25) + +- CometFilter (24) + +- CometNativeScan parquet spark_catalog.default.date_dim (23) -(24) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(23) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(25) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(24) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(26) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(25) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(27) CometColumnarToRow [codegen id : 1] +(26) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(28) BroadcastExchange +(27) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/extended.txt index 369ec68bb4..c2200997a6 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/extended.txt @@ -3,33 +3,32 @@ TakeOrderedAndProject +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 12 out of 27 eligible operators (44%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 27 eligible operators (48%). Final plan contains 5 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/simplified.txt index 7bc0779e53..6eb6de858e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q20.native_datafusion/simplified.txt @@ -1,43 +1,40 @@ TakeOrderedAndProject [i_category,i_class,i_item_id,i_item_desc,revenueratio,i_current_price,itemrevenue] - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #1 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(cs_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] - Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [cs_item_sk,i_item_sk] - Filter [cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #3 + CometExchange [i_class] #1 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(cs_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #2 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,cs_ext_sales_price] [sum,sum] + Project [cs_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_ext_sales_price,cs_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [cs_item_sk,i_item_sk] + Filter [cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_ext_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/explain.txt index 0a6d891afc..103fda9f40 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (24) -+- * HashAggregate (23) - +- * CometColumnarToRow (22) +* CometColumnarToRow (24) ++- CometTakeOrderedAndProject (23) + +- CometHashAggregate (22) +- CometColumnarExchange (21) +- * HashAggregate (20) +- * Expand (19) @@ -121,19 +121,17 @@ Results [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_gr Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Arguments: hashpartitioning(i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19, sum#22, count#23] Keys [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, spark_grouping_id#19] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#24] -Results [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, avg(inv_quantity_on_hand#2)#24 AS qoh#25] -(24) TakeOrderedAndProject -Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] -Arguments: 100, [qoh#25 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#25] +(23) CometTakeOrderedAndProject +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#24 ASC NULLS FIRST,i_product_name#15 ASC NULLS FIRST,i_brand#16 ASC NULLS FIRST,i_class#17 ASC NULLS FIRST,i_category#18 ASC NULLS FIRST], output=[i_product_name#15,i_brand#16,i_class#17,i_category#18,qoh#24]), [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24], 100, 0, [qoh#24 ASC NULLS FIRST, i_product_name#15 ASC NULLS FIRST, i_brand#16 ASC NULLS FIRST, i_class#17 ASC NULLS FIRST, i_category#18 ASC NULLS FIRST], [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] + +(24) CometColumnarToRow [codegen id : 5] +Input [5]: [i_product_name#15, i_brand#16, i_class#17, i_category#18, qoh#24] ===== Subqueries ===== @@ -146,18 +144,18 @@ BroadcastExchange (29) (25) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#26] +Output [2]: [d_date_sk#5, d_month_seq#25] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1200), LessThanOrEqual(d_month_seq,1211), IsNotNull(d_date_sk)] ReadSchema: struct (26) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#26] -Condition : (((isnotnull(d_month_seq#26) AND (d_month_seq#26 >= 1200)) AND (d_month_seq#26 <= 1211)) AND isnotnull(d_date_sk#5)) +Input [2]: [d_date_sk#5, d_month_seq#25] +Condition : (((isnotnull(d_month_seq#25) AND (d_month_seq#25 >= 1200)) AND (d_month_seq#25 <= 1211)) AND isnotnull(d_date_sk#5)) (27) CometProject -Input [2]: [d_date_sk#5, d_month_seq#26] +Input [2]: [d_date_sk#5, d_month_seq#25] Arguments: [d_date_sk#5], [d_date_sk#5] (28) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/extended.txt index fb0e21025e..0d92bad43c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -33,4 +33,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 11 out of 28 eligible operators (39%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 13 out of 28 eligible operators (46%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/simplified.txt index 457dff46e2..4f1a24ab41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/explain.txt index 1f6f727512..eb870014b4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/explain.txt index 1f6f727512..eb870014b4 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (26) -+- * HashAggregate (25) - +- * CometColumnarToRow (24) +* CometColumnarToRow (26) ++- CometTakeOrderedAndProject (25) + +- CometHashAggregate (24) +- CometColumnarExchange (23) +- * HashAggregate (22) +- * Expand (21) @@ -134,19 +134,17 @@ Results [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_gr Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Arguments: hashpartitioning(i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(24) CometColumnarToRow [codegen id : 3] -Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] - -(25) HashAggregate [codegen id : 3] +(24) CometHashAggregate Input [7]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20, sum#23, count#24] Keys [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, spark_grouping_id#20] Functions [1]: [avg(inv_quantity_on_hand#2)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#2)#25] -Results [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, avg(inv_quantity_on_hand#2)#25 AS qoh#26] -(26) TakeOrderedAndProject -Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] -Arguments: 100, [qoh#26 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#26] +(25) CometTakeOrderedAndProject +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#25 ASC NULLS FIRST,i_product_name#16 ASC NULLS FIRST,i_brand#17 ASC NULLS FIRST,i_class#18 ASC NULLS FIRST,i_category#19 ASC NULLS FIRST], output=[i_product_name#16,i_brand#17,i_class#18,i_category#19,qoh#25]), [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25], 100, 0, [qoh#25 ASC NULLS FIRST, i_product_name#16 ASC NULLS FIRST, i_brand#17 ASC NULLS FIRST, i_class#18 ASC NULLS FIRST, i_category#19 ASC NULLS FIRST], [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] + +(26) CometColumnarToRow [codegen id : 3] +Input [5]: [i_product_name#16, i_brand#17, i_class#18, i_category#19, qoh#25] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/extended.txt index 6cb89465d2..9c314e9491 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Expand @@ -31,4 +31,4 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometScan [native_iceberg_compat] parquet spark_catalog.default.warehouse -Comet accelerated 19 out of 28 eligible operators (67%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 21 out of 28 eligible operators (75%). Final plan contains 4 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/simplified.txt index 221c6063ce..1dd7028c7b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - WholeStageCodegen (3) - HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [spark_grouping_id,sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category,spark_grouping_id] #1 WholeStageCodegen (2) HashAggregate [i_product_name,i_brand,i_class,i_category,spark_grouping_id,inv_quantity_on_hand] [sum,count,sum,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/explain.txt index 9842213949..a49068b803 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/explain.txt @@ -1,59 +1,51 @@ == Physical Plan == -TakeOrderedAndProject (55) -+- Union (54) - :- * HashAggregate (25) - : +- * HashAggregate (24) - : +- * HashAggregate (23) - : +- * CometColumnarToRow (22) - : +- CometColumnarExchange (21) - : +- * HashAggregate (20) - : +- * Project (19) - : +- * BroadcastHashJoin Inner BuildRight (18) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.inventory (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (17) - : +- * CometColumnarToRow (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.warehouse (14) - :- * HashAggregate (32) - : +- * CometColumnarToRow (31) - : +- CometColumnarExchange (30) - : +- * HashAggregate (29) - : +- * HashAggregate (28) - : +- * CometColumnarToRow (27) - : +- ReusedExchange (26) - :- * HashAggregate (39) - : +- * CometColumnarToRow (38) - : +- CometColumnarExchange (37) - : +- * HashAggregate (36) - : +- * HashAggregate (35) - : +- * CometColumnarToRow (34) - : +- ReusedExchange (33) - :- * HashAggregate (46) - : +- * CometColumnarToRow (45) - : +- CometColumnarExchange (44) - : +- * HashAggregate (43) - : +- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- ReusedExchange (40) - +- * HashAggregate (53) - +- * CometColumnarToRow (52) - +- CometColumnarExchange (51) - +- * HashAggregate (50) - +- * HashAggregate (49) - +- * CometColumnarToRow (48) - +- ReusedExchange (47) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometUnion (45) + :- CometHashAggregate (24) + : +- CometHashAggregate (23) + : +- CometHashAggregate (22) + : +- CometColumnarExchange (21) + : +- * HashAggregate (20) + : +- * Project (19) + : +- * BroadcastHashJoin Inner BuildRight (18) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.inventory (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (17) + : +- * CometColumnarToRow (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.warehouse (14) + :- CometHashAggregate (29) + : +- CometExchange (28) + : +- CometHashAggregate (27) + : +- CometHashAggregate (26) + : +- ReusedExchange (25) + :- CometHashAggregate (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- CometHashAggregate (31) + : +- ReusedExchange (30) + :- CometHashAggregate (39) + : +- CometExchange (38) + : +- CometHashAggregate (37) + : +- CometHashAggregate (36) + : +- ReusedExchange (35) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- ReusedExchange (40) (1) Scan parquet spark_catalog.default.inventory @@ -71,7 +63,7 @@ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_ Input [4]: [inv_item_sk#1, inv_warehouse_sk#2, inv_quantity_on_hand#3, inv_date_sk#4] Condition : (isnotnull(inv_item_sk#1) AND isnotnull(inv_warehouse_sk#2)) -(4) ReusedExchange [Reuses operator id: 60] +(4) ReusedExchange [Reuses operator id: 52] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 4] @@ -155,201 +147,152 @@ Results [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Arguments: hashpartitioning(i_product_name#15, i_brand#12, i_class#13, i_category#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#19, count#20] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] Functions [1]: [avg(inv_quantity_on_hand#3)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#3)#21] -Results [5]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, avg(inv_quantity_on_hand#3)#21 AS qoh#22] -(24) HashAggregate [codegen id : 5] -Input [5]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, qoh#22] +(23) CometHashAggregate +Input [5]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, qoh#21] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [partial_avg(qoh#22)] -Aggregate Attributes [2]: [sum#23, count#24] -Results [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#25, count#26] +Functions [1]: [partial_avg(qoh#21)] -(25) HashAggregate [codegen id : 5] -Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#25, count#26] +(24) CometHashAggregate +Input [6]: [i_product_name#15, i_brand#12, i_class#13, i_category#14, sum#22, count#23] Keys [4]: [i_product_name#15, i_brand#12, i_class#13, i_category#14] -Functions [1]: [avg(qoh#22)] -Aggregate Attributes [1]: [avg(qoh#22)#27] -Results [5]: [i_product_name#15 AS i_product_name#28, i_brand#12 AS i_brand#29, i_class#13 AS i_class#30, i_category#14 AS i_category#31, avg(qoh#22)#27 AS qoh#32] - -(26) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#33, i_brand#34, i_class#35, i_category#36, sum#37, count#38] - -(27) CometColumnarToRow [codegen id : 10] -Input [6]: [i_product_name#33, i_brand#34, i_class#35, i_category#36, sum#37, count#38] - -(28) HashAggregate [codegen id : 10] -Input [6]: [i_product_name#33, i_brand#34, i_class#35, i_category#36, sum#37, count#38] -Keys [4]: [i_product_name#33, i_brand#34, i_class#35, i_category#36] -Functions [1]: [avg(inv_quantity_on_hand#39)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#39)#21] -Results [4]: [i_product_name#33, i_brand#34, i_class#35, avg(inv_quantity_on_hand#39)#21 AS qoh#40] - -(29) HashAggregate [codegen id : 10] -Input [4]: [i_product_name#33, i_brand#34, i_class#35, qoh#40] -Keys [3]: [i_product_name#33, i_brand#34, i_class#35] -Functions [1]: [partial_avg(qoh#40)] -Aggregate Attributes [2]: [sum#41, count#42] -Results [5]: [i_product_name#33, i_brand#34, i_class#35, sum#43, count#44] - -(30) CometColumnarExchange -Input [5]: [i_product_name#33, i_brand#34, i_class#35, sum#43, count#44] -Arguments: hashpartitioning(i_product_name#33, i_brand#34, i_class#35, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(31) CometColumnarToRow [codegen id : 11] -Input [5]: [i_product_name#33, i_brand#34, i_class#35, sum#43, count#44] - -(32) HashAggregate [codegen id : 11] -Input [5]: [i_product_name#33, i_brand#34, i_class#35, sum#43, count#44] -Keys [3]: [i_product_name#33, i_brand#34, i_class#35] -Functions [1]: [avg(qoh#40)] -Aggregate Attributes [1]: [avg(qoh#40)#45] -Results [5]: [i_product_name#33, i_brand#34, i_class#35, null AS i_category#46, avg(qoh#40)#45 AS qoh#47] - -(33) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#48, i_brand#49, i_class#50, i_category#51, sum#52, count#53] - -(34) CometColumnarToRow [codegen id : 16] -Input [6]: [i_product_name#48, i_brand#49, i_class#50, i_category#51, sum#52, count#53] - -(35) HashAggregate [codegen id : 16] -Input [6]: [i_product_name#48, i_brand#49, i_class#50, i_category#51, sum#52, count#53] -Keys [4]: [i_product_name#48, i_brand#49, i_class#50, i_category#51] -Functions [1]: [avg(inv_quantity_on_hand#54)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#54)#21] -Results [3]: [i_product_name#48, i_brand#49, avg(inv_quantity_on_hand#54)#21 AS qoh#55] - -(36) HashAggregate [codegen id : 16] -Input [3]: [i_product_name#48, i_brand#49, qoh#55] -Keys [2]: [i_product_name#48, i_brand#49] -Functions [1]: [partial_avg(qoh#55)] -Aggregate Attributes [2]: [sum#56, count#57] -Results [4]: [i_product_name#48, i_brand#49, sum#58, count#59] - -(37) CometColumnarExchange -Input [4]: [i_product_name#48, i_brand#49, sum#58, count#59] -Arguments: hashpartitioning(i_product_name#48, i_brand#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(38) CometColumnarToRow [codegen id : 17] -Input [4]: [i_product_name#48, i_brand#49, sum#58, count#59] - -(39) HashAggregate [codegen id : 17] -Input [4]: [i_product_name#48, i_brand#49, sum#58, count#59] -Keys [2]: [i_product_name#48, i_brand#49] -Functions [1]: [avg(qoh#55)] -Aggregate Attributes [1]: [avg(qoh#55)#60] -Results [5]: [i_product_name#48, i_brand#49, null AS i_class#61, null AS i_category#62, avg(qoh#55)#60 AS qoh#63] +Functions [1]: [avg(qoh#21)] + +(25) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#24, i_brand#25, i_class#26, i_category#27, sum#28, count#29] + +(26) CometHashAggregate +Input [6]: [i_product_name#24, i_brand#25, i_class#26, i_category#27, sum#28, count#29] +Keys [4]: [i_product_name#24, i_brand#25, i_class#26, i_category#27] +Functions [1]: [avg(inv_quantity_on_hand#30)] + +(27) CometHashAggregate +Input [4]: [i_product_name#24, i_brand#25, i_class#26, qoh#31] +Keys [3]: [i_product_name#24, i_brand#25, i_class#26] +Functions [1]: [partial_avg(qoh#31)] + +(28) CometExchange +Input [5]: [i_product_name#24, i_brand#25, i_class#26, sum#32, count#33] +Arguments: hashpartitioning(i_product_name#24, i_brand#25, i_class#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(29) CometHashAggregate +Input [5]: [i_product_name#24, i_brand#25, i_class#26, sum#32, count#33] +Keys [3]: [i_product_name#24, i_brand#25, i_class#26] +Functions [1]: [avg(qoh#31)] + +(30) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#34, i_brand#35, i_class#36, i_category#37, sum#38, count#39] + +(31) CometHashAggregate +Input [6]: [i_product_name#34, i_brand#35, i_class#36, i_category#37, sum#38, count#39] +Keys [4]: [i_product_name#34, i_brand#35, i_class#36, i_category#37] +Functions [1]: [avg(inv_quantity_on_hand#40)] + +(32) CometHashAggregate +Input [3]: [i_product_name#34, i_brand#35, qoh#41] +Keys [2]: [i_product_name#34, i_brand#35] +Functions [1]: [partial_avg(qoh#41)] + +(33) CometExchange +Input [4]: [i_product_name#34, i_brand#35, sum#42, count#43] +Arguments: hashpartitioning(i_product_name#34, i_brand#35, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(34) CometHashAggregate +Input [4]: [i_product_name#34, i_brand#35, sum#42, count#43] +Keys [2]: [i_product_name#34, i_brand#35] +Functions [1]: [avg(qoh#41)] + +(35) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_product_name#44, i_brand#45, i_class#46, i_category#47, sum#48, count#49] + +(36) CometHashAggregate +Input [6]: [i_product_name#44, i_brand#45, i_class#46, i_category#47, sum#48, count#49] +Keys [4]: [i_product_name#44, i_brand#45, i_class#46, i_category#47] +Functions [1]: [avg(inv_quantity_on_hand#50)] + +(37) CometHashAggregate +Input [2]: [i_product_name#44, qoh#51] +Keys [1]: [i_product_name#44] +Functions [1]: [partial_avg(qoh#51)] + +(38) CometExchange +Input [3]: [i_product_name#44, sum#52, count#53] +Arguments: hashpartitioning(i_product_name#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(39) CometHashAggregate +Input [3]: [i_product_name#44, sum#52, count#53] +Keys [1]: [i_product_name#44] +Functions [1]: [avg(qoh#51)] (40) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, sum#68, count#69] - -(41) CometColumnarToRow [codegen id : 22] -Input [6]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, sum#68, count#69] - -(42) HashAggregate [codegen id : 22] -Input [6]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, sum#68, count#69] -Keys [4]: [i_product_name#64, i_brand#65, i_class#66, i_category#67] -Functions [1]: [avg(inv_quantity_on_hand#70)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#70)#21] -Results [2]: [i_product_name#64, avg(inv_quantity_on_hand#70)#21 AS qoh#71] - -(43) HashAggregate [codegen id : 22] -Input [2]: [i_product_name#64, qoh#71] -Keys [1]: [i_product_name#64] -Functions [1]: [partial_avg(qoh#71)] -Aggregate Attributes [2]: [sum#72, count#73] -Results [3]: [i_product_name#64, sum#74, count#75] - -(44) CometColumnarExchange -Input [3]: [i_product_name#64, sum#74, count#75] -Arguments: hashpartitioning(i_product_name#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(45) CometColumnarToRow [codegen id : 23] -Input [3]: [i_product_name#64, sum#74, count#75] - -(46) HashAggregate [codegen id : 23] -Input [3]: [i_product_name#64, sum#74, count#75] -Keys [1]: [i_product_name#64] -Functions [1]: [avg(qoh#71)] -Aggregate Attributes [1]: [avg(qoh#71)#76] -Results [5]: [i_product_name#64, null AS i_brand#77, null AS i_class#78, null AS i_category#79, avg(qoh#71)#76 AS qoh#80] - -(47) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_product_name#81, i_brand#82, i_class#83, i_category#84, sum#85, count#86] - -(48) CometColumnarToRow [codegen id : 28] -Input [6]: [i_product_name#81, i_brand#82, i_class#83, i_category#84, sum#85, count#86] - -(49) HashAggregate [codegen id : 28] -Input [6]: [i_product_name#81, i_brand#82, i_class#83, i_category#84, sum#85, count#86] -Keys [4]: [i_product_name#81, i_brand#82, i_class#83, i_category#84] -Functions [1]: [avg(inv_quantity_on_hand#87)] -Aggregate Attributes [1]: [avg(inv_quantity_on_hand#87)#21] -Results [1]: [avg(inv_quantity_on_hand#87)#21 AS qoh#88] - -(50) HashAggregate [codegen id : 28] -Input [1]: [qoh#88] -Keys: [] -Functions [1]: [partial_avg(qoh#88)] -Aggregate Attributes [2]: [sum#89, count#90] -Results [2]: [sum#91, count#92] +Output [6]: [i_product_name#54, i_brand#55, i_class#56, i_category#57, sum#58, count#59] -(51) CometColumnarExchange -Input [2]: [sum#91, count#92] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(41) CometHashAggregate +Input [6]: [i_product_name#54, i_brand#55, i_class#56, i_category#57, sum#58, count#59] +Keys [4]: [i_product_name#54, i_brand#55, i_class#56, i_category#57] +Functions [1]: [avg(inv_quantity_on_hand#60)] -(52) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#91, count#92] +(42) CometHashAggregate +Input [1]: [qoh#61] +Keys: [] +Functions [1]: [partial_avg(qoh#61)] + +(43) CometExchange +Input [2]: [sum#62, count#63] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(53) HashAggregate [codegen id : 29] -Input [2]: [sum#91, count#92] +(44) CometHashAggregate +Input [2]: [sum#62, count#63] Keys: [] -Functions [1]: [avg(qoh#88)] -Aggregate Attributes [1]: [avg(qoh#88)#93] -Results [5]: [null AS i_product_name#94, null AS i_brand#95, null AS i_class#96, null AS i_category#97, avg(qoh#88)#93 AS qoh#98] +Functions [1]: [avg(qoh#61)] + +(45) CometUnion +Child 0 Input [5]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, qoh#68] +Child 1 Input [5]: [i_product_name#24, i_brand#25, i_class#26, i_category#69, qoh#70] +Child 2 Input [5]: [i_product_name#34, i_brand#35, i_class#71, i_category#72, qoh#73] +Child 3 Input [5]: [i_product_name#44, i_brand#74, i_class#75, i_category#76, qoh#77] +Child 4 Input [5]: [i_product_name#78, i_brand#79, i_class#80, i_category#81, qoh#82] -(54) Union +(46) CometTakeOrderedAndProject +Input [5]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, qoh#68] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[qoh#68 ASC NULLS FIRST,i_product_name#64 ASC NULLS FIRST,i_brand#65 ASC NULLS FIRST,i_class#66 ASC NULLS FIRST,i_category#67 ASC NULLS FIRST], output=[i_product_name#64,i_brand#65,i_class#66,i_category#67,qoh#68]), [i_product_name#64, i_brand#65, i_class#66, i_category#67, qoh#68], 100, 0, [qoh#68 ASC NULLS FIRST, i_product_name#64 ASC NULLS FIRST, i_brand#65 ASC NULLS FIRST, i_class#66 ASC NULLS FIRST, i_category#67 ASC NULLS FIRST], [i_product_name#64, i_brand#65, i_class#66, i_category#67, qoh#68] -(55) TakeOrderedAndProject -Input [5]: [i_product_name#28, i_brand#29, i_class#30, i_category#31, qoh#32] -Arguments: 100, [qoh#32 ASC NULLS FIRST, i_product_name#28 ASC NULLS FIRST, i_brand#29 ASC NULLS FIRST, i_class#30 ASC NULLS FIRST, i_category#31 ASC NULLS FIRST], [i_product_name#28, i_brand#29, i_class#30, i_category#31, qoh#32] +(47) CometColumnarToRow [codegen id : 21] +Input [5]: [i_product_name#64, i_brand#65, i_class#66, i_category#67, qoh#68] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = inv_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (60) -+- * CometColumnarToRow (59) - +- CometProject (58) - +- CometFilter (57) - +- CometNativeScan parquet spark_catalog.default.date_dim (56) +BroadcastExchange (52) ++- * CometColumnarToRow (51) + +- CometProject (50) + +- CometFilter (49) + +- CometNativeScan parquet spark_catalog.default.date_dim (48) -(56) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_month_seq#99] +(48) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_month_seq#83] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(57) CometFilter -Input [2]: [d_date_sk#6, d_month_seq#99] -Condition : (((isnotnull(d_month_seq#99) AND (d_month_seq#99 >= 1212)) AND (d_month_seq#99 <= 1223)) AND isnotnull(d_date_sk#6)) +(49) CometFilter +Input [2]: [d_date_sk#6, d_month_seq#83] +Condition : (((isnotnull(d_month_seq#83) AND (d_month_seq#83 >= 1212)) AND (d_month_seq#83 <= 1223)) AND isnotnull(d_date_sk#6)) -(58) CometProject -Input [2]: [d_date_sk#6, d_month_seq#99] +(50) CometProject +Input [2]: [d_date_sk#6, d_month_seq#83] Arguments: [d_date_sk#6], [d_date_sk#6] -(59) CometColumnarToRow [codegen id : 1] +(51) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(60) BroadcastExchange +(52) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/extended.txt index 543f666a74..0c7198ffb8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/extended.txt @@ -1,187 +1,179 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.warehouse - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.warehouse +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.warehouse + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.inventory [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.warehouse -Comet accelerated 64 out of 151 eligible operators (42%). Final plan contains 34 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 81 out of 151 eligible operators (53%). Final plan contains 26 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/simplified.txt index 239424b0a0..350d46a279 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q22a.native_datafusion/simplified.txt @@ -1,11 +1,11 @@ -TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] - Union - WholeStageCodegen (5) - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(qoh),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (21) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_product_name,i_brand,i_class,i_category,qoh] + CometUnion [i_product_name,i_brand,i_class,i_category,qoh] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,i_product_name,i_brand,i_class,i_category,avg(qoh)] + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,i_category,sum,count] + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(inv_quantity_on_hand)] CometColumnarExchange [i_product_name,i_brand,i_class,i_category] #1 WholeStageCodegen (4) HashAggregate [i_product_name,i_brand,i_class,i_category,inv_quantity_on_hand] [sum,count,sum,count] @@ -44,47 +44,23 @@ TakeOrderedAndProject [qoh,i_product_name,i_brand,i_class,i_category] InputAdapter CometFilter [w_warehouse_sk] CometNativeScan parquet spark_catalog.default.warehouse [w_warehouse_sk] - WholeStageCodegen (11) - HashAggregate [i_product_name,i_brand,i_class,sum,count] [avg(qoh),i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand,i_class] #5 - WholeStageCodegen (10) - HashAggregate [i_product_name,i_brand,i_class,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (17) - HashAggregate [i_product_name,i_brand,sum,count] [avg(qoh),i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name,i_brand] #6 - WholeStageCodegen (16) - HashAggregate [i_product_name,i_brand,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (23) - HashAggregate [i_product_name,sum,count] [avg(qoh),i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_product_name] #7 - WholeStageCodegen (22) - HashAggregate [i_product_name,qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 - WholeStageCodegen (29) - HashAggregate [sum,count] [avg(qoh),i_product_name,i_brand,i_class,i_category,qoh,sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (28) - HashAggregate [qoh] [sum,count,sum,count] - HashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [avg(inv_quantity_on_hand),qoh,sum,count] - CometColumnarToRow - InputAdapter - ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand,i_class] #5 + CometHashAggregate [qoh] [i_product_name,i_brand,i_class,sum,count] + CometHashAggregate [i_category,sum,count] [i_product_name,i_brand,i_class,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name,i_brand] #6 + CometHashAggregate [qoh] [i_product_name,i_brand,sum,count] + CometHashAggregate [i_class,i_category,sum,count] [i_product_name,i_brand,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange [i_product_name] #7 + CometHashAggregate [qoh] [i_product_name,sum,count] + CometHashAggregate [i_brand,i_class,i_category,sum,count] [i_product_name,qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 + CometHashAggregate [sum,count] [i_product_name,i_brand,i_class,i_category,qoh,avg(qoh)] + CometExchange #8 + CometHashAggregate [qoh] [sum,count] + CometHashAggregate [i_product_name,i_brand,i_class,i_category,sum,count] [qoh,avg(inv_quantity_on_hand)] + ReusedExchange [i_product_name,i_brand,i_class,i_category,sum,count] #1 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/explain.txt index 6ca8ff436b..a101b6ec84 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometNativeScan parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometNativeScan parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometNativeScan parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometNativeScan parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometNativeScan parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometNativeScan parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometNativeScan parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometNativeScan parquet spark_catalog.default.customer_address (32) (1) CometNativeScan parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometNativeScan parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] - -(60) CometNativeScan parquet spark_catalog.default.item -Output [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] +(58) CometNativeScan parquet spark_catalog.default.item +Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Condition : isnotnull(i_item_sk#62) +(59) CometFilter +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Condition : isnotnull(i_item_sk#58) -(62) CometProject -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [i_item_sk#62, i_current_price#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#64, 20)) AS i_size#68, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#65, 20)) AS i_color#69, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#66, 10)) AS i_units#70, i_manager_id#67] +(60) CometProject +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [i_item_sk#58, i_current_price#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#60, 20)) AS i_size#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#61, 20)) AS i_color#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#62, 10)) AS i_units#66, i_manager_id#63] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] -Right output [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_item_sk#51], [i_item_sk#62], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] +Right output [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_item_sk#47], [i_item_sk#58], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Right output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_customer_sk#52], [c_customer_sk#71], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Right output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_customer_sk#48], [c_customer_sk#67], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75], [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71], [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#72, c_birth_country#75, s_zip#61] -Right keys [3]: [ca_address_sk#76, upper(ca_country#79), ca_zip#78] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#68, c_birth_country#71, s_zip#57] +Right keys [3]: [ca_address_sk#72, upper(ca_country#75), ca_zip#74] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75, ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#80] -Results [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(74) CometColumnarExchange -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Arguments: hashpartitioning(c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#82] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#82] -Keys: [] -Functions [1]: [partial_avg(netpaid#82)] -Aggregate Attributes [2]: [sum#83, count#84] -Results [2]: [sum#85, count#86] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71, ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(78) CometColumnarExchange -Input [2]: [sum#85, count#86] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#76] +Results [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#85, count#86] +(72) CometColumnarExchange +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Arguments: hashpartitioning(c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#85, count#86] +(73) CometHashAggregate +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#78] Keys: [] -Functions [1]: [avg(netpaid#82)] -Aggregate Attributes [1]: [avg(netpaid#82)#87] -Results [1]: [(0.05 * avg(netpaid#82)#87) AS (0.05 * avg(netpaid))#88] +Functions [1]: [partial_avg(netpaid#78)] + +(75) CometExchange +Input [2]: [sum#79, count#80] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#79, count#80] +Keys: [] +Functions [1]: [avg(netpaid#78)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#81] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/extended.txt index 53a4c64a61..f48ced830e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/simplified.txt index b24e51723a..01e4d94ea5 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_datafusion/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometNativeScan parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometNativeScan parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/explain.txt index 54ebedf7d3..648ec42909 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Condition : isnotnull(i_item_sk#62) +(59) CometFilter +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Condition : isnotnull(i_item_sk#58) -(62) CometProject -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [i_item_sk#62, i_current_price#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#64, 20)) AS i_size#68, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#65, 20)) AS i_color#69, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#66, 10)) AS i_units#70, i_manager_id#67] +(60) CometProject +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [i_item_sk#58, i_current_price#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#60, 20)) AS i_size#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#61, 20)) AS i_color#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#62, 10)) AS i_units#66, i_manager_id#63] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] -Right output [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_item_sk#51], [i_item_sk#62], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] +Right output [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_item_sk#47], [i_item_sk#58], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Right output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_customer_sk#52], [c_customer_sk#71], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Right output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_customer_sk#48], [c_customer_sk#67], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75], [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71], [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#72, c_birth_country#75, s_zip#61] -Right keys [3]: [ca_address_sk#76, upper(ca_country#79), ca_zip#78] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#68, c_birth_country#71, s_zip#57] +Right keys [3]: [ca_address_sk#72, upper(ca_country#75), ca_zip#74] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75, ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#80] -Results [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(74) CometColumnarExchange -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Arguments: hashpartitioning(c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#82] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#82] -Keys: [] -Functions [1]: [partial_avg(netpaid#82)] -Aggregate Attributes [2]: [sum#83, count#84] -Results [2]: [sum#85, count#86] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71, ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(78) CometColumnarExchange -Input [2]: [sum#85, count#86] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#76] +Results [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#85, count#86] +(72) CometColumnarExchange +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Arguments: hashpartitioning(c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#85, count#86] +(73) CometHashAggregate +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#78] Keys: [] -Functions [1]: [avg(netpaid#82)] -Aggregate Attributes [1]: [avg(netpaid#82)#87] -Results [1]: [(0.05 * avg(netpaid#82)#87) AS (0.05 * avg(netpaid))#88] +Functions [1]: [partial_avg(netpaid#78)] + +(75) CometExchange +Input [2]: [sum#79, count#80] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#79, count#80] +Keys: [] +Functions [1]: [avg(netpaid#78)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#81] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24.native_iceberg_compat/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/explain.txt index 54ebedf7d3..648ec42909 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/explain.txt @@ -1,54 +1,52 @@ == Physical Plan == -* CometColumnarToRow (50) -+- CometSort (49) - +- CometColumnarExchange (48) - +- * Filter (47) - +- * HashAggregate (46) - +- * CometColumnarToRow (45) - +- CometColumnarExchange (44) - +- * HashAggregate (43) - +- * HashAggregate (42) - +- * CometColumnarToRow (41) - +- CometColumnarExchange (40) - +- * HashAggregate (39) - +- * Project (38) - +- * BroadcastHashJoin Inner BuildRight (37) - :- * CometColumnarToRow (31) - : +- CometProject (30) - : +- CometBroadcastHashJoin (29) - : :- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (18) - : : : +- CometBroadcastHashJoin (17) - : : : :- CometProject (12) - : : : : +- CometSortMergeJoin (11) - : : : : :- CometSort (5) - : : : : : +- CometExchange (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometSort (10) - : : : : +- CometExchange (9) - : : : : +- CometProject (8) - : : : : +- CometFilter (7) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) - : : : +- CometBroadcastExchange (16) - : : : +- CometProject (15) - : : : +- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) - : : +- CometBroadcastExchange (22) - : : +- CometProject (21) - : : +- CometFilter (20) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) - : +- CometBroadcastExchange (28) - : +- CometProject (27) - : +- CometFilter (26) - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) - +- BroadcastExchange (36) - +- * CometColumnarToRow (35) - +- CometProject (34) - +- CometFilter (33) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) +* CometColumnarToRow (48) ++- CometSort (47) + +- CometExchange (46) + +- CometFilter (45) + +- CometHashAggregate (44) + +- CometExchange (43) + +- CometHashAggregate (42) + +- CometHashAggregate (41) + +- CometColumnarExchange (40) + +- * HashAggregate (39) + +- * Project (38) + +- * BroadcastHashJoin Inner BuildRight (37) + :- * CometColumnarToRow (31) + : +- CometProject (30) + : +- CometBroadcastHashJoin (29) + : :- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (18) + : : : +- CometBroadcastHashJoin (17) + : : : :- CometProject (12) + : : : : +- CometSortMergeJoin (11) + : : : : :- CometSort (5) + : : : : : +- CometExchange (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometSort (10) + : : : : +- CometExchange (9) + : : : : +- CometProject (8) + : : : : +- CometFilter (7) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (6) + : : : +- CometBroadcastExchange (16) + : : : +- CometProject (15) + : : : +- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (13) + : : +- CometBroadcastExchange (22) + : : +- CometProject (21) + : : +- CometFilter (20) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (19) + : +- CometBroadcastExchange (28) + : +- CometProject (27) + : +- CometFilter (26) + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer (25) + +- BroadcastExchange (36) + +- * CometColumnarToRow (35) + +- CometProject (34) + +- CometFilter (33) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address (32) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -236,218 +234,196 @@ Results [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_ Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] - -(42) HashAggregate [codegen id : 3] +(41) CometHashAggregate Input [11]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23, sum#40] Keys [10]: [c_last_name#32, c_first_name#31, s_store_name#11, ca_state#37, s_state#15, i_color#24, i_current_price#18, i_manager_id#22, i_units#25, i_size#23] Functions [1]: [sum(UnscaledValue(ss_net_paid#5))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#5))#41] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, MakeDecimal(sum(UnscaledValue(ss_net_paid#5))#41,17,2) AS netpaid#42] -(43) HashAggregate [codegen id : 3] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#42] +(42) CometHashAggregate +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, netpaid#41] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [partial_sum(netpaid#42)] -Aggregate Attributes [2]: [sum#43, isEmpty#44] -Results [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] - -(44) CometColumnarExchange -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] -Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +Functions [1]: [partial_sum(netpaid#41)] -(45) CometColumnarToRow [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(43) CometExchange +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] +Arguments: hashpartitioning(c_last_name#32, c_first_name#31, s_store_name#11, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(46) HashAggregate [codegen id : 4] -Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#45, isEmpty#46] +(44) CometHashAggregate +Input [5]: [c_last_name#32, c_first_name#31, s_store_name#11, sum#42, isEmpty#43] Keys [3]: [c_last_name#32, c_first_name#31, s_store_name#11] -Functions [1]: [sum(netpaid#42)] -Aggregate Attributes [1]: [sum(netpaid#42)#47] -Results [4]: [c_last_name#32, c_first_name#31, s_store_name#11, sum(netpaid#42)#47 AS paid#48] +Functions [1]: [sum(netpaid#41)] -(47) Filter [codegen id : 4] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Condition : (isnotnull(paid#48) AND (cast(paid#48 as decimal(33,8)) > cast(Subquery scalar-subquery#49, [id=#50] as decimal(33,8)))) +(45) CometFilter +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Condition : (isnotnull(paid#44) AND (cast(paid#44 as decimal(33,8)) > cast(Subquery scalar-subquery#45, [id=#46] as decimal(33,8)))) -(48) CometColumnarExchange -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(46) CometExchange +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: rangepartitioning(c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(49) CometSort -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] -Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] +(47) CometSort +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] +Arguments: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44], [c_last_name#32 ASC NULLS FIRST, c_first_name#31 ASC NULLS FIRST, s_store_name#11 ASC NULLS FIRST] -(50) CometColumnarToRow [codegen id : 5] -Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#48] +(48) CometColumnarToRow [codegen id : 3] +Input [4]: [c_last_name#32, c_first_name#31, s_store_name#11, paid#44] ===== Subqueries ===== -Subquery:1 Hosting operator id = 47 Hosting Expression = Subquery scalar-subquery#49, [id=#50] -* HashAggregate (80) -+- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * CometColumnarToRow (69) - : +- CometProject (68) - : +- CometBroadcastHashJoin (67) - : :- CometProject (65) - : : +- CometBroadcastHashJoin (64) - : : :- CometProject (59) - : : : +- CometBroadcastHashJoin (58) - : : : :- CometProject (56) - : : : : +- CometSortMergeJoin (55) - : : : : :- CometSort (52) - : : : : : +- ReusedExchange (51) - : : : : +- CometSort (54) - : : : : +- ReusedExchange (53) - : : : +- ReusedExchange (57) - : : +- CometBroadcastExchange (63) - : : +- CometProject (62) - : : +- CometFilter (61) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (60) - : +- ReusedExchange (66) - +- ReusedExchange (70) - - -(51) ReusedExchange [Reuses operator id: 4] -Output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] +Subquery:1 Hosting operator id = 45 Hosting Expression = Subquery scalar-subquery#45, [id=#46] +* CometColumnarToRow (77) ++- CometHashAggregate (76) + +- CometExchange (75) + +- CometHashAggregate (74) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * CometColumnarToRow (67) + : +- CometProject (66) + : +- CometBroadcastHashJoin (65) + : :- CometProject (63) + : : +- CometBroadcastHashJoin (62) + : : :- CometProject (57) + : : : +- CometBroadcastHashJoin (56) + : : : :- CometProject (54) + : : : : +- CometSortMergeJoin (53) + : : : : :- CometSort (50) + : : : : : +- ReusedExchange (49) + : : : : +- CometSort (52) + : : : : +- ReusedExchange (51) + : : : +- ReusedExchange (55) + : : +- CometBroadcastExchange (61) + : : +- CometProject (60) + : : +- CometFilter (59) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item (58) + : +- ReusedExchange (64) + +- ReusedExchange (68) + + +(49) ReusedExchange [Reuses operator id: 4] +Output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] + +(50) CometSort +Input [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51], [ss_ticket_number#50 ASC NULLS FIRST, ss_item_sk#47 ASC NULLS FIRST] + +(51) ReusedExchange [Reuses operator id: 9] +Output [2]: [sr_item_sk#52, sr_ticket_number#53] (52) CometSort -Input [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55], [ss_ticket_number#54 ASC NULLS FIRST, ss_item_sk#51 ASC NULLS FIRST] +Input [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [sr_item_sk#52, sr_ticket_number#53], [sr_ticket_number#53 ASC NULLS FIRST, sr_item_sk#52 ASC NULLS FIRST] -(53) ReusedExchange [Reuses operator id: 9] -Output [2]: [sr_item_sk#56, sr_ticket_number#57] +(53) CometSortMergeJoin +Left output [5]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51] +Right output [2]: [sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_ticket_number#50, ss_item_sk#47], [sr_ticket_number#53, sr_item_sk#52], Inner -(54) CometSort -Input [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [sr_item_sk#56, sr_ticket_number#57], [sr_ticket_number#57 ASC NULLS FIRST, sr_item_sk#56 ASC NULLS FIRST] +(54) CometProject +Input [7]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_ticket_number#50, ss_net_paid#51, sr_item_sk#52, sr_ticket_number#53] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51], [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] -(55) CometSortMergeJoin -Left output [5]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55] -Right output [2]: [sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_ticket_number#54, ss_item_sk#51], [sr_ticket_number#57, sr_item_sk#56], Inner +(55) ReusedExchange [Reuses operator id: 16] +Output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] -(56) CometProject -Input [7]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_ticket_number#54, ss_net_paid#55, sr_item_sk#56, sr_ticket_number#57] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55], [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] +(56) CometBroadcastHashJoin +Left output [4]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51] +Right output [4]: [s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_store_sk#49], [s_store_sk#54], Inner, BuildRight -(57) ReusedExchange [Reuses operator id: 16] -Output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] +(57) CometProject +Input [8]: [ss_item_sk#47, ss_customer_sk#48, ss_store_sk#49, ss_net_paid#51, s_store_sk#54, s_store_name#55, s_state#56, s_zip#57] +Arguments: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57], [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] -(58) CometBroadcastHashJoin -Left output [4]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55] -Right output [4]: [s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_store_sk#53], [s_store_sk#58], Inner, BuildRight - -(59) CometProject -Input [8]: [ss_item_sk#51, ss_customer_sk#52, ss_store_sk#53, ss_net_paid#55, s_store_sk#58, s_store_name#59, s_state#60, s_zip#61] -Arguments: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61], [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] - -(60) CometScan [native_iceberg_compat] parquet spark_catalog.default.item -Output [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] +(58) CometScan [native_iceberg_compat] parquet spark_catalog.default.item +Output [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(61) CometFilter -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Condition : isnotnull(i_item_sk#62) +(59) CometFilter +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Condition : isnotnull(i_item_sk#58) -(62) CometProject -Input [6]: [i_item_sk#62, i_current_price#63, i_size#64, i_color#65, i_units#66, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [i_item_sk#62, i_current_price#63, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#64, 20)) AS i_size#68, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#65, 20)) AS i_color#69, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#66, 10)) AS i_units#70, i_manager_id#67] +(60) CometProject +Input [6]: [i_item_sk#58, i_current_price#59, i_size#60, i_color#61, i_units#62, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [i_item_sk#58, i_current_price#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_size#60, 20)) AS i_size#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_color#61, 20)) AS i_color#65, static_invoke(CharVarcharCodegenUtils.readSidePadding(i_units#62, 10)) AS i_units#66, i_manager_id#63] -(63) CometBroadcastExchange -Input [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(61) CometBroadcastExchange +Input [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(64) CometBroadcastHashJoin -Left output [6]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61] -Right output [6]: [i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_item_sk#51], [i_item_sk#62], Inner, BuildRight +(62) CometBroadcastHashJoin +Left output [6]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57] +Right output [6]: [i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_item_sk#47], [i_item_sk#58], Inner, BuildRight -(65) CometProject -Input [12]: [ss_item_sk#51, ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_item_sk#62, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Arguments: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67], [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] +(63) CometProject +Input [12]: [ss_item_sk#47, ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_item_sk#58, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Arguments: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63], [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] -(66) ReusedExchange [Reuses operator id: 28] -Output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(64) ReusedExchange [Reuses operator id: 28] +Output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(67) CometBroadcastHashJoin -Left output [10]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67] -Right output [5]: [c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_customer_sk#52], [c_customer_sk#71], Inner, BuildRight +(65) CometBroadcastHashJoin +Left output [10]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63] +Right output [5]: [c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_customer_sk#48], [c_customer_sk#67], Inner, BuildRight -(68) CometProject -Input [15]: [ss_customer_sk#52, ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_customer_sk#71, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] -Arguments: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75], [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(66) CometProject +Input [15]: [ss_customer_sk#48, ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_customer_sk#67, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] +Arguments: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71], [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(69) CometColumnarToRow [codegen id : 2] -Input [13]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75] +(67) CometColumnarToRow [codegen id : 2] +Input [13]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71] -(70) ReusedExchange [Reuses operator id: 36] -Output [4]: [ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] +(68) ReusedExchange [Reuses operator id: 36] +Output [4]: [ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(71) BroadcastHashJoin [codegen id : 2] -Left keys [3]: [c_current_addr_sk#72, c_birth_country#75, s_zip#61] -Right keys [3]: [ca_address_sk#76, upper(ca_country#79), ca_zip#78] +(69) BroadcastHashJoin [codegen id : 2] +Left keys [3]: [c_current_addr_sk#68, c_birth_country#71, s_zip#57] +Right keys [3]: [ca_address_sk#72, upper(ca_country#75), ca_zip#74] Join type: Inner Join condition: None -(72) Project [codegen id : 2] -Output [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Input [17]: [ss_net_paid#55, s_store_name#59, s_state#60, s_zip#61, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_current_addr_sk#72, c_first_name#73, c_last_name#74, c_birth_country#75, ca_address_sk#76, ca_state#77, ca_zip#78, ca_country#79] - -(73) HashAggregate [codegen id : 2] -Input [11]: [ss_net_paid#55, s_store_name#59, s_state#60, i_current_price#63, i_size#68, i_color#69, i_units#70, i_manager_id#67, c_first_name#73, c_last_name#74, ca_state#77] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum#80] -Results [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(74) CometColumnarExchange -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Arguments: hashpartitioning(c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(75) CometColumnarToRow [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] - -(76) HashAggregate [codegen id : 3] -Input [11]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68, sum#81] -Keys [10]: [c_last_name#74, c_first_name#73, s_store_name#59, ca_state#77, s_state#60, i_color#69, i_current_price#63, i_manager_id#67, i_units#70, i_size#68] -Functions [1]: [sum(UnscaledValue(ss_net_paid#55))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#55))#41] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_paid#55))#41,17,2) AS netpaid#82] - -(77) HashAggregate [codegen id : 3] -Input [1]: [netpaid#82] -Keys: [] -Functions [1]: [partial_avg(netpaid#82)] -Aggregate Attributes [2]: [sum#83, count#84] -Results [2]: [sum#85, count#86] +(70) Project [codegen id : 2] +Output [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Input [17]: [ss_net_paid#51, s_store_name#55, s_state#56, s_zip#57, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_current_addr_sk#68, c_first_name#69, c_last_name#70, c_birth_country#71, ca_address_sk#72, ca_state#73, ca_zip#74, ca_country#75] -(78) CometColumnarExchange -Input [2]: [sum#85, count#86] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(71) HashAggregate [codegen id : 2] +Input [11]: [ss_net_paid#51, s_store_name#55, s_state#56, i_current_price#59, i_size#64, i_color#65, i_units#66, i_manager_id#63, c_first_name#69, c_last_name#70, ca_state#73] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#51))] +Aggregate Attributes [1]: [sum#76] +Results [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] -(79) CometColumnarToRow [codegen id : 4] -Input [2]: [sum#85, count#86] +(72) CometColumnarExchange +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Arguments: hashpartitioning(c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] -(80) HashAggregate [codegen id : 4] -Input [2]: [sum#85, count#86] +(73) CometHashAggregate +Input [11]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64, sum#77] +Keys [10]: [c_last_name#70, c_first_name#69, s_store_name#55, ca_state#73, s_state#56, i_color#65, i_current_price#59, i_manager_id#63, i_units#66, i_size#64] +Functions [1]: [sum(UnscaledValue(ss_net_paid#51))] + +(74) CometHashAggregate +Input [1]: [netpaid#78] Keys: [] -Functions [1]: [avg(netpaid#82)] -Aggregate Attributes [1]: [avg(netpaid#82)#87] -Results [1]: [(0.05 * avg(netpaid#82)#87) AS (0.05 * avg(netpaid))#88] +Functions [1]: [partial_avg(netpaid#78)] + +(75) CometExchange +Input [2]: [sum#79, count#80] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(76) CometHashAggregate +Input [2]: [sum#79, count#80] +Keys: [] +Functions [1]: [avg(netpaid#78)] + +(77) CometColumnarToRow [codegen id : 3] +Input [1]: [(0.05 * avg(netpaid))#81] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/extended.txt index b9384ca04f..9a740c6975 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/extended.txt @@ -1,99 +1,96 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Filter + +- CometExchange + +- CometFilter : +- Subquery - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometProject - : : : : : +- CometSortMergeJoin - : : : : : :- CometSort - : : : : : : +- CometExchange - : : : : : : +- CometProject - : : : : : : +- CometFilter - : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometSortMergeJoin - : : : : :- CometSort - : : : : : +- CometExchange - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- CometSort - : : : : +- CometExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometProject + : : : : : +- CometSortMergeJoin + : : : : : :- CometSort + : : : : : : +- CometExchange + : : : : : : +- CometProject + : : : : : : +- CometFilter + : : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin [COMET: Comet is not compatible with Spark for case conversion in locale-specific cases. Set spark.comet.caseConversion.enabled=true to enable it anyway.] + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometSortMergeJoin + : : : : :- CometSort + : : : : : +- CometExchange + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- CometSort + : : : : +- CometExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.item + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address -Comet accelerated 72 out of 88 eligible operators (81%). Final plan contains 9 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 79 out of 88 eligible operators (89%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/simplified.txt index 62f492f632..12e72e4006 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q24/simplified.txt @@ -1,99 +1,90 @@ -WholeStageCodegen (5) +WholeStageCodegen (3) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,s_store_name,paid] - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #1 - WholeStageCodegen (4) - Filter [paid] - Subquery #1 - WholeStageCodegen (4) - HashAggregate [sum,count] [avg(netpaid),(0.05 * avg(netpaid)),sum,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (3) - HashAggregate [netpaid] [sum,count,sum,count] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 - CometSort [sr_item_sk,sr_ticket_number] - ReusedExchange [sr_item_sk,sr_ticket_number] #5 - ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - InputAdapter - ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 - HashAggregate [c_last_name,c_first_name,s_store_name,sum,isEmpty] [sum(netpaid),paid,sum,isEmpty] + CometExchange [c_last_name,c_first_name,s_store_name] #1 + CometFilter [c_last_name,c_first_name,s_store_name,paid] + Subquery #1 + WholeStageCodegen (3) CometColumnarToRow InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name] #2 - WholeStageCodegen (3) - HashAggregate [c_last_name,c_first_name,s_store_name,netpaid] [sum,isEmpty,sum,isEmpty] - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [sum(UnscaledValue(ss_net_paid)),netpaid,sum] - CometColumnarToRow + CometHashAggregate [sum,count] [(0.05 * avg(netpaid)),avg(netpaid)] + CometExchange #10 + CometHashAggregate [netpaid] [sum,count] + CometHashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #11 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + ReusedExchange [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] #4 + CometSort [sr_item_sk,sr_ticket_number] + ReusedExchange [sr_item_sk,sr_ticket_number] #5 + ReusedExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #12 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + ReusedExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + InputAdapter + ReusedExchange [ca_address_sk,ca_state,ca_zip,ca_country] #9 + CometHashAggregate [sum,isEmpty] [c_last_name,c_first_name,s_store_name,paid,sum(netpaid)] + CometExchange [c_last_name,c_first_name,s_store_name] #2 + CometHashAggregate [netpaid] [c_last_name,c_first_name,s_store_name,sum,isEmpty] + CometHashAggregate [ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,sum] [c_last_name,c_first_name,s_store_name,netpaid,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 + WholeStageCodegen (2) + HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] + Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] + BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] + CometColumnarToRow + InputAdapter + CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] + CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] + CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] + CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometExchange [ss_ticket_number,ss_item_sk] #4 + CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] + CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] + CometSort [sr_item_sk,sr_ticket_number] + CometExchange [sr_ticket_number,sr_item_sk] #5 + CometProject [sr_item_sk,sr_ticket_number] + CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] + CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 + CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] + CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] + CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 + CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] + CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 + CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] InputAdapter - CometColumnarExchange [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size] #3 - WholeStageCodegen (2) - HashAggregate [c_last_name,c_first_name,s_store_name,ca_state,s_state,i_color,i_current_price,i_manager_id,i_units,i_size,ss_net_paid] [sum,sum] - Project [ss_net_paid,s_store_name,s_state,i_current_price,i_size,i_color,i_units,i_manager_id,c_first_name,c_last_name,ca_state] - BroadcastHashJoin [c_current_addr_sk,c_birth_country,s_zip,ca_address_sk,ca_country,ca_zip] - CometColumnarToRow - InputAdapter - CometProject [ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometBroadcastHashJoin [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id,c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometProject [ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip,i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometProject [ss_item_sk,ss_customer_sk,ss_net_paid,s_store_name,s_state,s_zip] - CometBroadcastHashJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid,s_store_sk,s_store_name,s_state,s_zip] - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_net_paid] - CometSortMergeJoin [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,sr_item_sk,sr_ticket_number] - CometSort [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometExchange [ss_ticket_number,ss_item_sk] #4 - CometProject [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid] - CometFilter [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_customer_sk,ss_store_sk,ss_ticket_number,ss_net_paid,ss_sold_date_sk] - CometSort [sr_item_sk,sr_ticket_number] - CometExchange [sr_ticket_number,sr_item_sk] #5 - CometProject [sr_item_sk,sr_ticket_number] - CometFilter [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_returned_date_sk] - CometBroadcastExchange [s_store_sk,s_store_name,s_state,s_zip] #6 - CometProject [s_state,s_zip] [s_store_sk,s_store_name,s_state,s_zip] - CometFilter [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_store_name,s_market_id,s_state,s_zip] - CometBroadcastExchange [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] #7 - CometProject [i_size,i_color,i_units] [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometFilter [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometScan [native_iceberg_compat] parquet spark_catalog.default.item [i_item_sk,i_current_price,i_size,i_color,i_units,i_manager_id] - CometBroadcastExchange [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] #8 - CometProject [c_first_name,c_last_name] [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometFilter [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer [c_customer_sk,c_current_addr_sk,c_first_name,c_last_name,c_birth_country] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] - CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] - CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] + BroadcastExchange #9 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [ca_state,ca_zip] [ca_address_sk,ca_state,ca_zip,ca_country] + CometFilter [ca_address_sk,ca_state,ca_zip,ca_country] + CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_address [ca_address_sk,ca_state,ca_zip,ca_country] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/explain.txt index f025c0c7fd..d79571ca27 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/explain.txt @@ -1,82 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (78) -+- Union (77) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * Project (27) - : +- * BroadcastHashJoin Inner BuildRight (26) - : :- * Project (20) - : : +- * BroadcastHashJoin Inner BuildRight (19) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- BroadcastExchange (8) - : : : : +- * CometColumnarToRow (7) - : : : : +- CometProject (6) - : : : : +- CometFilter (5) - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (18) - : : +- * CometColumnarToRow (17) - : : +- CometProject (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (25) - : +- * CometColumnarToRow (24) - : +- CometProject (23) - : +- CometFilter (22) - : +- CometNativeScan parquet spark_catalog.default.item (21) - :- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * Project (40) - : : : +- * BroadcastHashJoin Inner BuildRight (39) - : : : :- * Project (37) - : : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : : :- * Filter (34) - : : : : : +- * ColumnarToRow (33) - : : : : : +- Scan parquet spark_catalog.default.store_sales (32) - : : : : +- ReusedExchange (35) - : : : +- ReusedExchange (38) - : : +- BroadcastExchange (45) - : : +- * CometColumnarToRow (44) - : : +- CometProject (43) - : : +- CometFilter (42) - : : +- CometNativeScan parquet spark_catalog.default.store (41) - : +- ReusedExchange (48) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- CometColumnarExchange (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- * Project (66) - : +- * BroadcastHashJoin Inner BuildRight (65) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- * Project (60) - : : : +- * BroadcastHashJoin Inner BuildRight (59) - : : : :- * Filter (57) - : : : : +- * ColumnarToRow (56) - : : : : +- Scan parquet spark_catalog.default.store_sales (55) - : : : +- ReusedExchange (58) - : : +- ReusedExchange (61) - : +- ReusedExchange (64) - +- BroadcastExchange (70) - +- * CometColumnarToRow (69) - +- CometFilter (68) - +- CometNativeScan parquet spark_catalog.default.item (67) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometUnion (74) + :- CometHashAggregate (30) + : +- CometColumnarExchange (29) + : +- * HashAggregate (28) + : +- * Project (27) + : +- * BroadcastHashJoin Inner BuildRight (26) + : :- * Project (20) + : : +- * BroadcastHashJoin Inner BuildRight (19) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- BroadcastExchange (8) + : : : : +- * CometColumnarToRow (7) + : : : : +- CometProject (6) + : : : : +- CometFilter (5) + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics (4) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (18) + : : +- * CometColumnarToRow (17) + : : +- CometProject (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (25) + : +- * CometColumnarToRow (24) + : +- CometProject (23) + : +- CometFilter (22) + : +- CometNativeScan parquet spark_catalog.default.item (21) + :- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * Project (39) + : : : +- * BroadcastHashJoin Inner BuildRight (38) + : : : :- * Project (36) + : : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : : :- * Filter (33) + : : : : : +- * ColumnarToRow (32) + : : : : : +- Scan parquet spark_catalog.default.store_sales (31) + : : : : +- ReusedExchange (34) + : : : +- ReusedExchange (37) + : : +- BroadcastExchange (44) + : : +- * CometColumnarToRow (43) + : : +- CometProject (42) + : : +- CometFilter (41) + : : +- CometNativeScan parquet spark_catalog.default.store (40) + : +- ReusedExchange (47) + +- CometHashAggregate (73) + +- CometColumnarExchange (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- * Project (64) + : +- * BroadcastHashJoin Inner BuildRight (63) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.store_sales (53) + : : : +- ReusedExchange (56) + : : +- ReusedExchange (59) + : +- ReusedExchange (62) + +- BroadcastExchange (68) + +- * CometColumnarToRow (67) + +- CometFilter (66) + +- CometNativeScan parquet spark_catalog.default.item (65) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +124,7 @@ Join condition: None Output [7]: [ss_item_sk#1, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8] Input [9]: [ss_item_sk#1, ss_cdemo_sk#2, ss_store_sk#3, ss_quantity#4, ss_list_price#5, ss_sales_price#6, ss_coupon_amt#7, ss_sold_date_sk#8, cd_demo_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 81] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 5] @@ -214,266 +212,257 @@ Results [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Arguments: hashpartitioning(i_item_id#21, s_state#22, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(30) CometColumnarToRow [codegen id : 6] -Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] - -(31) HashAggregate [codegen id : 6] +(30) CometHashAggregate Input [10]: [i_item_id#21, s_state#22, sum#35, count#36, sum#37, count#38, sum#39, count#40, sum#41, count#42] Keys [2]: [i_item_id#21, s_state#22] Functions [4]: [avg(agg1#23), avg(UnscaledValue(agg2#24)), avg(UnscaledValue(agg3#25)), avg(UnscaledValue(agg4#26))] -Aggregate Attributes [4]: [avg(agg1#23)#43, avg(UnscaledValue(agg2#24))#44, avg(UnscaledValue(agg3#25))#45, avg(UnscaledValue(agg4#26))#46] -Results [7]: [i_item_id#21, s_state#22, 0 AS g_state#47, avg(agg1#23)#43 AS agg1#48, cast((avg(UnscaledValue(agg2#24))#44 / 100.0) as decimal(11,6)) AS agg2#49, cast((avg(UnscaledValue(agg3#25))#45 / 100.0) as decimal(11,6)) AS agg3#50, cast((avg(UnscaledValue(agg4#26))#46 / 100.0) as decimal(11,6)) AS agg4#51] -(32) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(31) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#59), dynamicpruningexpression(ss_sold_date_sk#59 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#50), dynamicpruningexpression(ss_sold_date_sk#50 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(33) ColumnarToRow [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] +(32) ColumnarToRow [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] -(34) Filter [codegen id : 11] -Input [8]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Condition : ((isnotnull(ss_cdemo_sk#53) AND isnotnull(ss_store_sk#54)) AND isnotnull(ss_item_sk#52)) +(33) Filter [codegen id : 10] +Input [8]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Condition : ((isnotnull(ss_cdemo_sk#44) AND isnotnull(ss_store_sk#45)) AND isnotnull(ss_item_sk#43)) -(35) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#60] +(34) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#51] -(36) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_cdemo_sk#53] -Right keys [1]: [cd_demo_sk#60] +(35) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_cdemo_sk#44] +Right keys [1]: [cd_demo_sk#51] Join type: Inner Join condition: None -(37) Project [codegen id : 11] -Output [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59] -Input [9]: [ss_item_sk#52, ss_cdemo_sk#53, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, cd_demo_sk#60] +(36) Project [codegen id : 10] +Output [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50] +Input [9]: [ss_item_sk#43, ss_cdemo_sk#44, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, cd_demo_sk#51] -(38) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#61] +(37) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#52] -(39) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_sold_date_sk#59] -Right keys [1]: [d_date_sk#61] +(38) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#50] +Right keys [1]: [d_date_sk#52] Join type: Inner Join condition: None -(40) Project [codegen id : 11] -Output [6]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [8]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, ss_sold_date_sk#59, d_date_sk#61] +(39) Project [codegen id : 10] +Output [6]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [8]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, ss_sold_date_sk#50, d_date_sk#52] -(41) CometNativeScan parquet spark_catalog.default.store -Output [2]: [s_store_sk#62, s_state#63] +(40) CometNativeScan parquet spark_catalog.default.store +Output [2]: [s_store_sk#53, s_state#54] Batched: true Location [not included in comparison]/{warehouse_dir}/store] PushedFilters: [IsNotNull(s_state), IsNotNull(s_store_sk)] ReadSchema: struct -(42) CometFilter -Input [2]: [s_store_sk#62, s_state#63] -Condition : ((isnotnull(s_state#63) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#63, 2)) = TN)) AND isnotnull(s_store_sk#62)) +(41) CometFilter +Input [2]: [s_store_sk#53, s_state#54] +Condition : ((isnotnull(s_state#54) AND (static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#54, 2)) = TN)) AND isnotnull(s_store_sk#53)) -(43) CometProject -Input [2]: [s_store_sk#62, s_state#63] -Arguments: [s_store_sk#62], [s_store_sk#62] +(42) CometProject +Input [2]: [s_store_sk#53, s_state#54] +Arguments: [s_store_sk#53], [s_store_sk#53] -(44) CometColumnarToRow [codegen id : 9] -Input [1]: [s_store_sk#62] +(43) CometColumnarToRow [codegen id : 8] +Input [1]: [s_store_sk#53] -(45) BroadcastExchange -Input [1]: [s_store_sk#62] +(44) BroadcastExchange +Input [1]: [s_store_sk#53] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_store_sk#54] -Right keys [1]: [s_store_sk#62] +(45) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_store_sk#45] +Right keys [1]: [s_store_sk#53] Join type: Inner Join condition: None -(47) Project [codegen id : 11] -Output [5]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58] -Input [7]: [ss_item_sk#52, ss_store_sk#54, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, s_store_sk#62] +(46) Project [codegen id : 10] +Output [5]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49] +Input [7]: [ss_item_sk#43, ss_store_sk#45, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, s_store_sk#53] -(48) ReusedExchange [Reuses operator id: 25] -Output [2]: [i_item_sk#64, i_item_id#65] +(47) ReusedExchange [Reuses operator id: 25] +Output [2]: [i_item_sk#55, i_item_id#56] -(49) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [ss_item_sk#52] -Right keys [1]: [i_item_sk#64] +(48) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_item_sk#43] +Right keys [1]: [i_item_sk#55] Join type: Inner Join condition: None -(50) Project [codegen id : 11] -Output [5]: [i_item_id#65, ss_quantity#55 AS agg1#66, ss_list_price#56 AS agg2#67, ss_coupon_amt#58 AS agg3#68, ss_sales_price#57 AS agg4#69] -Input [7]: [ss_item_sk#52, ss_quantity#55, ss_list_price#56, ss_sales_price#57, ss_coupon_amt#58, i_item_sk#64, i_item_id#65] - -(51) HashAggregate [codegen id : 11] -Input [5]: [i_item_id#65, agg1#66, agg2#67, agg3#68, agg4#69] -Keys [1]: [i_item_id#65] -Functions [4]: [partial_avg(agg1#66), partial_avg(UnscaledValue(agg2#67)), partial_avg(UnscaledValue(agg3#68)), partial_avg(UnscaledValue(agg4#69))] -Aggregate Attributes [8]: [sum#70, count#71, sum#72, count#73, sum#74, count#75, sum#76, count#77] -Results [9]: [i_item_id#65, sum#78, count#79, sum#80, count#81, sum#82, count#83, sum#84, count#85] - -(52) CometColumnarExchange -Input [9]: [i_item_id#65, sum#78, count#79, sum#80, count#81, sum#82, count#83, sum#84, count#85] -Arguments: hashpartitioning(i_item_id#65, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(53) CometColumnarToRow [codegen id : 12] -Input [9]: [i_item_id#65, sum#78, count#79, sum#80, count#81, sum#82, count#83, sum#84, count#85] - -(54) HashAggregate [codegen id : 12] -Input [9]: [i_item_id#65, sum#78, count#79, sum#80, count#81, sum#82, count#83, sum#84, count#85] -Keys [1]: [i_item_id#65] -Functions [4]: [avg(agg1#66), avg(UnscaledValue(agg2#67)), avg(UnscaledValue(agg3#68)), avg(UnscaledValue(agg4#69))] -Aggregate Attributes [4]: [avg(agg1#66)#86, avg(UnscaledValue(agg2#67))#87, avg(UnscaledValue(agg3#68))#88, avg(UnscaledValue(agg4#69))#89] -Results [7]: [i_item_id#65, null AS s_state#90, 1 AS g_state#91, avg(agg1#66)#86 AS agg1#92, cast((avg(UnscaledValue(agg2#67))#87 / 100.0) as decimal(11,6)) AS agg2#93, cast((avg(UnscaledValue(agg3#68))#88 / 100.0) as decimal(11,6)) AS agg3#94, cast((avg(UnscaledValue(agg4#69))#89 / 100.0) as decimal(11,6)) AS agg4#95] - -(55) Scan parquet spark_catalog.default.store_sales -Output [8]: [ss_item_sk#96, ss_cdemo_sk#97, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103] +(49) Project [codegen id : 10] +Output [5]: [i_item_id#56, ss_quantity#46 AS agg1#57, ss_list_price#47 AS agg2#58, ss_coupon_amt#49 AS agg3#59, ss_sales_price#48 AS agg4#60] +Input [7]: [ss_item_sk#43, ss_quantity#46, ss_list_price#47, ss_sales_price#48, ss_coupon_amt#49, i_item_sk#55, i_item_id#56] + +(50) HashAggregate [codegen id : 10] +Input [5]: [i_item_id#56, agg1#57, agg2#58, agg3#59, agg4#60] +Keys [1]: [i_item_id#56] +Functions [4]: [partial_avg(agg1#57), partial_avg(UnscaledValue(agg2#58)), partial_avg(UnscaledValue(agg3#59)), partial_avg(UnscaledValue(agg4#60))] +Aggregate Attributes [8]: [sum#61, count#62, sum#63, count#64, sum#65, count#66, sum#67, count#68] +Results [9]: [i_item_id#56, sum#69, count#70, sum#71, count#72, sum#73, count#74, sum#75, count#76] + +(51) CometColumnarExchange +Input [9]: [i_item_id#56, sum#69, count#70, sum#71, count#72, sum#73, count#74, sum#75, count#76] +Arguments: hashpartitioning(i_item_id#56, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(52) CometHashAggregate +Input [9]: [i_item_id#56, sum#69, count#70, sum#71, count#72, sum#73, count#74, sum#75, count#76] +Keys [1]: [i_item_id#56] +Functions [4]: [avg(agg1#57), avg(UnscaledValue(agg2#58)), avg(UnscaledValue(agg3#59)), avg(UnscaledValue(agg4#60))] + +(53) Scan parquet spark_catalog.default.store_sales +Output [8]: [ss_item_sk#77, ss_cdemo_sk#78, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#103), dynamicpruningexpression(ss_sold_date_sk#103 IN dynamicpruning#9)] +PartitionFilters: [isnotnull(ss_sold_date_sk#84), dynamicpruningexpression(ss_sold_date_sk#84 IN dynamicpruning#9)] PushedFilters: [IsNotNull(ss_cdemo_sk), IsNotNull(ss_store_sk), IsNotNull(ss_item_sk)] ReadSchema: struct -(56) ColumnarToRow [codegen id : 17] -Input [8]: [ss_item_sk#96, ss_cdemo_sk#97, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103] +(54) ColumnarToRow [codegen id : 15] +Input [8]: [ss_item_sk#77, ss_cdemo_sk#78, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84] -(57) Filter [codegen id : 17] -Input [8]: [ss_item_sk#96, ss_cdemo_sk#97, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103] -Condition : ((isnotnull(ss_cdemo_sk#97) AND isnotnull(ss_store_sk#98)) AND isnotnull(ss_item_sk#96)) +(55) Filter [codegen id : 15] +Input [8]: [ss_item_sk#77, ss_cdemo_sk#78, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84] +Condition : ((isnotnull(ss_cdemo_sk#78) AND isnotnull(ss_store_sk#79)) AND isnotnull(ss_item_sk#77)) -(58) ReusedExchange [Reuses operator id: 8] -Output [1]: [cd_demo_sk#104] +(56) ReusedExchange [Reuses operator id: 8] +Output [1]: [cd_demo_sk#85] -(59) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_cdemo_sk#97] -Right keys [1]: [cd_demo_sk#104] +(57) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_cdemo_sk#78] +Right keys [1]: [cd_demo_sk#85] Join type: Inner Join condition: None -(60) Project [codegen id : 17] -Output [7]: [ss_item_sk#96, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103] -Input [9]: [ss_item_sk#96, ss_cdemo_sk#97, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103, cd_demo_sk#104] +(58) Project [codegen id : 15] +Output [7]: [ss_item_sk#77, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84] +Input [9]: [ss_item_sk#77, ss_cdemo_sk#78, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84, cd_demo_sk#85] -(61) ReusedExchange [Reuses operator id: 83] -Output [1]: [d_date_sk#105] +(59) ReusedExchange [Reuses operator id: 81] +Output [1]: [d_date_sk#86] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#103] -Right keys [1]: [d_date_sk#105] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#84] +Right keys [1]: [d_date_sk#86] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#96, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102] -Input [8]: [ss_item_sk#96, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, ss_sold_date_sk#103, d_date_sk#105] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#77, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83] +Input [8]: [ss_item_sk#77, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, ss_sold_date_sk#84, d_date_sk#86] -(64) ReusedExchange [Reuses operator id: 45] -Output [1]: [s_store_sk#106] +(62) ReusedExchange [Reuses operator id: 44] +Output [1]: [s_store_sk#87] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_store_sk#98] -Right keys [1]: [s_store_sk#106] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_store_sk#79] +Right keys [1]: [s_store_sk#87] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#96, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102] -Input [7]: [ss_item_sk#96, ss_store_sk#98, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, s_store_sk#106] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#77, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83] +Input [7]: [ss_item_sk#77, ss_store_sk#79, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, s_store_sk#87] -(67) CometNativeScan parquet spark_catalog.default.item -Output [1]: [i_item_sk#107] +(65) CometNativeScan parquet spark_catalog.default.item +Output [1]: [i_item_sk#88] Batched: true Location [not included in comparison]/{warehouse_dir}/item] PushedFilters: [IsNotNull(i_item_sk)] ReadSchema: struct -(68) CometFilter -Input [1]: [i_item_sk#107] -Condition : isnotnull(i_item_sk#107) +(66) CometFilter +Input [1]: [i_item_sk#88] +Condition : isnotnull(i_item_sk#88) -(69) CometColumnarToRow [codegen id : 16] -Input [1]: [i_item_sk#107] +(67) CometColumnarToRow [codegen id : 14] +Input [1]: [i_item_sk#88] -(70) BroadcastExchange -Input [1]: [i_item_sk#107] +(68) BroadcastExchange +Input [1]: [i_item_sk#88] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(71) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_item_sk#96] -Right keys [1]: [i_item_sk#107] +(69) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_item_sk#77] +Right keys [1]: [i_item_sk#88] Join type: Inner Join condition: None -(72) Project [codegen id : 17] -Output [4]: [ss_quantity#99 AS agg1#108, ss_list_price#100 AS agg2#109, ss_coupon_amt#102 AS agg3#110, ss_sales_price#101 AS agg4#111] -Input [6]: [ss_item_sk#96, ss_quantity#99, ss_list_price#100, ss_sales_price#101, ss_coupon_amt#102, i_item_sk#107] +(70) Project [codegen id : 15] +Output [4]: [ss_quantity#80 AS agg1#89, ss_list_price#81 AS agg2#90, ss_coupon_amt#83 AS agg3#91, ss_sales_price#82 AS agg4#92] +Input [6]: [ss_item_sk#77, ss_quantity#80, ss_list_price#81, ss_sales_price#82, ss_coupon_amt#83, i_item_sk#88] -(73) HashAggregate [codegen id : 17] -Input [4]: [agg1#108, agg2#109, agg3#110, agg4#111] +(71) HashAggregate [codegen id : 15] +Input [4]: [agg1#89, agg2#90, agg3#91, agg4#92] Keys: [] -Functions [4]: [partial_avg(agg1#108), partial_avg(UnscaledValue(agg2#109)), partial_avg(UnscaledValue(agg3#110)), partial_avg(UnscaledValue(agg4#111))] -Aggregate Attributes [8]: [sum#112, count#113, sum#114, count#115, sum#116, count#117, sum#118, count#119] -Results [8]: [sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127] +Functions [4]: [partial_avg(agg1#89), partial_avg(UnscaledValue(agg2#90)), partial_avg(UnscaledValue(agg3#91)), partial_avg(UnscaledValue(agg4#92))] +Aggregate Attributes [8]: [sum#93, count#94, sum#95, count#96, sum#97, count#98, sum#99, count#100] +Results [8]: [sum#101, count#102, sum#103, count#104, sum#105, count#106, sum#107, count#108] -(74) CometColumnarExchange -Input [8]: [sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127] +(72) CometColumnarExchange +Input [8]: [sum#101, count#102, sum#103, count#104, sum#105, count#106, sum#107, count#108] Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(75) CometColumnarToRow [codegen id : 18] -Input [8]: [sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127] - -(76) HashAggregate [codegen id : 18] -Input [8]: [sum#120, count#121, sum#122, count#123, sum#124, count#125, sum#126, count#127] +(73) CometHashAggregate +Input [8]: [sum#101, count#102, sum#103, count#104, sum#105, count#106, sum#107, count#108] Keys: [] -Functions [4]: [avg(agg1#108), avg(UnscaledValue(agg2#109)), avg(UnscaledValue(agg3#110)), avg(UnscaledValue(agg4#111))] -Aggregate Attributes [4]: [avg(agg1#108)#128, avg(UnscaledValue(agg2#109))#129, avg(UnscaledValue(agg3#110))#130, avg(UnscaledValue(agg4#111))#131] -Results [7]: [null AS i_item_id#132, null AS s_state#133, 1 AS g_state#134, avg(agg1#108)#128 AS agg1#135, cast((avg(UnscaledValue(agg2#109))#129 / 100.0) as decimal(11,6)) AS agg2#136, cast((avg(UnscaledValue(agg3#110))#130 / 100.0) as decimal(11,6)) AS agg3#137, cast((avg(UnscaledValue(agg4#111))#131 / 100.0) as decimal(11,6)) AS agg4#138] +Functions [4]: [avg(agg1#89), avg(UnscaledValue(agg2#90)), avg(UnscaledValue(agg3#91)), avg(UnscaledValue(agg4#92))] + +(74) CometUnion +Child 0 Input [7]: [i_item_id#21, s_state#22, g_state#109, agg1#110, agg2#111, agg3#112, agg4#113] +Child 1 Input [7]: [i_item_id#56, s_state#114, g_state#115, agg1#116, agg2#117, agg3#118, agg4#119] +Child 2 Input [7]: [i_item_id#120, s_state#121, g_state#122, agg1#123, agg2#124, agg3#125, agg4#126] -(77) Union +(75) CometTakeOrderedAndProject +Input [7]: [i_item_id#21, s_state#22, g_state#109, agg1#110, agg2#111, agg3#112, agg4#113] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[i_item_id#21 ASC NULLS FIRST,s_state#22 ASC NULLS FIRST], output=[i_item_id#21,s_state#22,g_state#109,agg1#110,agg2#111,agg3#112,agg4#113]), [i_item_id#21, s_state#22, g_state#109, agg1#110, agg2#111, agg3#112, agg4#113], 100, 0, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#109, agg1#110, agg2#111, agg3#112, agg4#113] -(78) TakeOrderedAndProject -Input [7]: [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] -Arguments: 100, [i_item_id#21 ASC NULLS FIRST, s_state#22 ASC NULLS FIRST], [i_item_id#21, s_state#22, g_state#47, agg1#48, agg2#49, agg3#50, agg4#51] +(76) CometColumnarToRow [codegen id : 16] +Input [7]: [i_item_id#21, s_state#22, g_state#109, agg1#110, agg2#111, agg3#112, agg4#113] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#8 IN dynamicpruning#9 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometProject (81) - +- CometFilter (80) - +- CometNativeScan parquet spark_catalog.default.date_dim (79) +BroadcastExchange (81) ++- * CometColumnarToRow (80) + +- CometProject (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(79) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_year#139] +(77) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_year#127] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,1998), IsNotNull(d_date_sk)] ReadSchema: struct -(80) CometFilter -Input [2]: [d_date_sk#14, d_year#139] -Condition : ((isnotnull(d_year#139) AND (d_year#139 = 1998)) AND isnotnull(d_date_sk#14)) +(78) CometFilter +Input [2]: [d_date_sk#14, d_year#127] +Condition : ((isnotnull(d_year#127) AND (d_year#127 = 1998)) AND isnotnull(d_date_sk#14)) -(81) CometProject -Input [2]: [d_date_sk#14, d_year#139] +(79) CometProject +Input [2]: [d_date_sk#14, d_year#127] Arguments: [d_date_sk#14], [d_date_sk#14] -(82) CometColumnarToRow [codegen id : 1] +(80) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(83) BroadcastExchange +(81) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 32 Hosting Expression = ss_sold_date_sk#59 IN dynamicpruning#9 +Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#50 IN dynamicpruning#9 -Subquery:3 Hosting operator id = 55 Hosting Expression = ss_sold_date_sk#103 IN dynamicpruning#9 +Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#84 IN dynamicpruning#9 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/extended.txt index 9926d14ae2..0bab1403a7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/extended.txt @@ -1,84 +1,82 @@ -TakeOrderedAndProject -+- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer_demographics + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -113,4 +111,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 41 out of 95 eligible operators (43%). Final plan contains 19 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 46 out of 95 eligible operators (48%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/simplified.txt index c7093301af..fd9dd1fc0b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q27a.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] - Union - WholeStageCodegen (6) - HashAggregate [i_item_id,s_state,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (16) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometUnion [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id,s_state] #1 WholeStageCodegen (5) HashAggregate [i_item_id,s_state,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] @@ -53,12 +53,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometProject [i_item_id] [i_item_sk,i_item_id] CometFilter [i_item_sk,i_item_id] CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id] - WholeStageCodegen (12) - HashAggregate [i_item_id,sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange [i_item_id] #6 - WholeStageCodegen (11) + WholeStageCodegen (10) HashAggregate [i_item_id,agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [i_item_id,ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -79,7 +76,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [d_date_sk] #2 InputAdapter BroadcastExchange #7 - WholeStageCodegen (9) + WholeStageCodegen (8) CometColumnarToRow InputAdapter CometProject [s_store_sk] @@ -87,12 +84,9 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] InputAdapter ReusedExchange [i_item_sk,i_item_id] #5 - WholeStageCodegen (18) - HashAggregate [sum,count,sum,count,sum,count,sum,count] [avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4)),i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,sum,count,sum,count,sum,count,sum,count] - CometColumnarToRow - InputAdapter + CometHashAggregate [sum,count,sum,count,sum,count,sum,count] [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4,avg(agg1),avg(UnscaledValue(agg2)),avg(UnscaledValue(agg3)),avg(UnscaledValue(agg4))] CometColumnarExchange #8 - WholeStageCodegen (17) + WholeStageCodegen (15) HashAggregate [agg1,agg2,agg3,agg4] [sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count,sum,count] Project [ss_quantity,ss_list_price,ss_coupon_amt,ss_sales_price] BroadcastHashJoin [ss_item_sk,i_item_sk] @@ -115,7 +109,7 @@ TakeOrderedAndProject [i_item_id,s_state,g_state,agg1,agg2,agg3,agg4] ReusedExchange [s_store_sk] #7 InputAdapter BroadcastExchange #9 - WholeStageCodegen (16) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometFilter [i_item_sk] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/explain.txt index 243b950bc1..2a31c68d61 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/explain.txt @@ -1,39 +1,37 @@ == Physical Plan == -* CometColumnarToRow (35) -+- CometSort (34) - +- CometColumnarExchange (33) - +- * Project (32) - +- * BroadcastHashJoin Inner BuildRight (31) - :- * Filter (25) - : +- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) - +- BroadcastExchange (30) - +- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.customer (26) +* CometColumnarToRow (33) ++- CometSort (32) + +- CometExchange (31) + +- CometProject (30) + +- CometBroadcastHashJoin (29) + :- CometFilter (24) + : +- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.household_demographics (14) + +- CometBroadcastExchange (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.customer (25) (1) Scan parquet spark_catalog.default.store_sales @@ -51,7 +49,7 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4, ss_sold_date_sk#5] Condition : ((isnotnull(ss_store_sk#3) AND isnotnull(ss_hdemo_sk#2)) AND isnotnull(ss_customer_sk#1)) -(4) ReusedExchange [Reuses operator id: 40] +(4) ReusedExchange [Reuses operator id: 38] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -139,93 +137,84 @@ Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Arguments: hashpartitioning(ss_ticket_number#4, ss_customer_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] - -(24) HashAggregate [codegen id : 6] +(23) CometHashAggregate Input [3]: [ss_ticket_number#4, ss_customer_sk#1, count#15] Keys [2]: [ss_ticket_number#4, ss_customer_sk#1] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#16] -Results [3]: [ss_ticket_number#4, ss_customer_sk#1, count(1)#16 AS cnt#17] -(25) Filter [codegen id : 6] -Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17] -Condition : ((cnt#17 >= 15) AND (cnt#17 <= 20)) +(24) CometFilter +Input [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Condition : ((cnt#16 >= 15) AND (cnt#16 <= 20)) -(26) CometNativeScan parquet spark_catalog.default.customer -Output [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] +(25) CometNativeScan parquet spark_catalog.default.customer +Output [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(27) CometFilter -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Condition : isnotnull(c_customer_sk#18) - -(28) CometProject -Input [5]: [c_customer_sk#18, c_salutation#19, c_first_name#20, c_last_name#21, c_preferred_cust_flag#22] -Arguments: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26], [c_customer_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#19, 10)) AS c_salutation#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#20, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#21, 30)) AS c_last_name#25, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#22, 1)) AS c_preferred_cust_flag#26] +(26) CometFilter +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Condition : isnotnull(c_customer_sk#17) -(29) CometColumnarToRow [codegen id : 5] -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(27) CometProject +Input [5]: [c_customer_sk#17, c_salutation#18, c_first_name#19, c_last_name#20, c_preferred_cust_flag#21] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25], [c_customer_sk#17, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_salutation#18, 10)) AS c_salutation#22, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#19, 20)) AS c_first_name#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#20, 30)) AS c_last_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_preferred_cust_flag#21, 1)) AS c_preferred_cust_flag#25] -(30) BroadcastExchange -Input [5]: [c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] +(28) CometBroadcastExchange +Input [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] -(31) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_customer_sk#1] -Right keys [1]: [c_customer_sk#18] -Join type: Inner -Join condition: None +(29) CometBroadcastHashJoin +Left output [3]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16] +Right output [5]: [c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [ss_customer_sk#1], [c_customer_sk#17], Inner, BuildRight -(32) Project [codegen id : 6] -Output [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#17, c_customer_sk#18, c_salutation#23, c_first_name#24, c_last_name#25, c_preferred_cust_flag#26] +(30) CometProject +Input [8]: [ss_ticket_number#4, ss_customer_sk#1, cnt#16, c_customer_sk#17, c_salutation#22, c_first_name#23, c_last_name#24, c_preferred_cust_flag#25] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] -(33) CometColumnarExchange -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: rangepartitioning(c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(31) CometExchange +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: rangepartitioning(c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(34) CometSort -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] -Arguments: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17], [c_last_name#25 ASC NULLS FIRST, c_first_name#24 ASC NULLS FIRST, c_salutation#23 ASC NULLS FIRST, c_preferred_cust_flag#26 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] +(32) CometSort +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] +Arguments: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16], [c_last_name#24 ASC NULLS FIRST, c_first_name#23 ASC NULLS FIRST, c_salutation#22 ASC NULLS FIRST, c_preferred_cust_flag#25 DESC NULLS LAST, ss_ticket_number#4 ASC NULLS FIRST] -(35) CometColumnarToRow [codegen id : 7] -Input [6]: [c_last_name#25, c_first_name#24, c_salutation#23, c_preferred_cust_flag#26, ss_ticket_number#4, cnt#17] +(33) CometColumnarToRow [codegen id : 5] +Input [6]: [c_last_name#24, c_first_name#23, c_salutation#22, c_preferred_cust_flag#25, ss_ticket_number#4, cnt#16] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (40) -+- * CometColumnarToRow (39) - +- CometProject (38) - +- CometFilter (37) - +- CometNativeScan parquet spark_catalog.default.date_dim (36) +BroadcastExchange (38) ++- * CometColumnarToRow (37) + +- CometProject (36) + +- CometFilter (35) + +- CometNativeScan parquet spark_catalog.default.date_dim (34) -(36) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#27, d_dom#28] +(34) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#7, d_year#26, d_dom#27] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(And(GreaterThanOrEqual(d_dom,1),LessThanOrEqual(d_dom,3)),And(GreaterThanOrEqual(d_dom,25),LessThanOrEqual(d_dom,28))), In(d_year, [1999,2000,2001]), IsNotNull(d_date_sk)] ReadSchema: struct -(37) CometFilter -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] -Condition : (((((d_dom#28 >= 1) AND (d_dom#28 <= 3)) OR ((d_dom#28 >= 25) AND (d_dom#28 <= 28))) AND d_year#27 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) +(35) CometFilter +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] +Condition : (((((d_dom#27 >= 1) AND (d_dom#27 <= 3)) OR ((d_dom#27 >= 25) AND (d_dom#27 <= 28))) AND d_year#26 IN (1999,2000,2001)) AND isnotnull(d_date_sk#7)) -(38) CometProject -Input [3]: [d_date_sk#7, d_year#27, d_dom#28] +(36) CometProject +Input [3]: [d_date_sk#7, d_year#26, d_dom#27] Arguments: [d_date_sk#7], [d_date_sk#7] -(39) CometColumnarToRow [codegen id : 1] +(37) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(40) BroadcastExchange +(38) BroadcastExchange Input [1]: [d_date_sk#7] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/extended.txt index 9e4596c12c..20daf9d550 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/extended.txt @@ -1,47 +1,45 @@ CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- Project - +- BroadcastHashJoin - :- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.household_demographics - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.customer + +- CometExchange + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.household_demographics + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.customer -Comet accelerated 18 out of 37 eligible operators (48%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 37 eligible operators (62%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/simplified.txt index 63c6ac3645..a1316ba805 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q34.native_datafusion/simplified.txt @@ -1,59 +1,52 @@ -WholeStageCodegen (7) +WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - CometColumnarExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 - WholeStageCodegen (6) - Project [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] - BroadcastHashJoin [ss_customer_sk,c_customer_sk] - Filter [cnt] - HashAggregate [ss_ticket_number,ss_customer_sk,count] [count(1),cnt,count] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 - WholeStageCodegen (4) - HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] - Project [ss_customer_sk,ss_ticket_number] - BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_dom] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] - InputAdapter - ReusedExchange [d_date_sk] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_county] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [hd_demo_sk] - CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (5) - CometColumnarToRow - InputAdapter - CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometExchange [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number] #1 + CometProject [c_last_name,c_first_name,c_salutation,c_preferred_cust_flag,ss_ticket_number,cnt] + CometBroadcastHashJoin [ss_ticket_number,ss_customer_sk,cnt,c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [ss_ticket_number,ss_customer_sk,cnt] + CometHashAggregate [count] [ss_ticket_number,ss_customer_sk,cnt,count(1)] + CometColumnarExchange [ss_ticket_number,ss_customer_sk] #2 + WholeStageCodegen (4) + HashAggregate [ss_ticket_number,ss_customer_sk] [count,count] + Project [ss_customer_sk,ss_ticket_number] + BroadcastHashJoin [ss_hdemo_sk,hd_demo_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_ticket_number] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_hdemo_sk,ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_hdemo_sk,ss_store_sk,ss_ticket_number,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_dom] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_dom] + InputAdapter + ReusedExchange [d_date_sk] #3 + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_county] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [hd_demo_sk] + CometFilter [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometNativeScan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count] + CometBroadcastExchange [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] #6 + CometProject [c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometFilter [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/explain.txt index 7e28922e9f..dab9ac2044 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (45) -+- * HashAggregate (44) - +- * CometColumnarToRow (43) +* CometColumnarToRow (45) ++- CometTakeOrderedAndProject (44) + +- CometHashAggregate (43) +- CometColumnarExchange (42) +- * HashAggregate (41) +- * Project (40) @@ -242,19 +242,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(43) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] - -(44) HashAggregate [codegen id : 10] +(43) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), avg(cd_dep_count#22), max(cd_dep_count#22), sum(cd_dep_count#22), avg(cd_dep_employed_count#23), max(cd_dep_employed_count#23), sum(cd_dep_employed_count#23), avg(cd_dep_college_count#24), max(cd_dep_college_count#24), sum(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, avg(cd_dep_count#22)#54, max(cd_dep_count#22)#55, sum(cd_dep_count#22)#56, avg(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, sum(cd_dep_employed_count#23)#59, avg(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, sum(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, count(1)#53 AS cnt1#63, avg(cd_dep_count#22)#54 AS avg(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, sum(cd_dep_count#22)#56 AS sum(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, avg(cd_dep_employed_count#23)#57 AS avg(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, sum(cd_dep_employed_count#23)#59 AS sum(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, avg(cd_dep_college_count#24)#60 AS avg(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, sum(cd_dep_college_count#24)#62 AS sum(cd_dep_college_count)#74] -(45) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] +(44) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cd_dep_count#22,cnt1#53,avg(cd_dep_count)#54,max(cd_dep_count)#55,sum(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,avg(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,sum(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,avg(cd_dep_college_count)#62,max(cd_dep_college_count)#63,sum(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] + +(45) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] ===== Subqueries ===== @@ -267,18 +265,18 @@ BroadcastExchange (50) (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#9, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,2002), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (47) CometFilter -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 2002)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#9)) +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 2002)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#9)) (48) CometProject -Input [3]: [d_date_sk#9, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#9, d_year#65, d_qoy#66] Arguments: [d_date_sk#9], [d_date_sk#9] (49) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/extended.txt index 8935b6cc13..c3420eb69b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -64,4 +64,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 54 eligible operators (38%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 54 eligible operators (42%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/simplified.txt index 0fb95102c3..c64725c467 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/explain.txt index c8f5d42144..9a8dc6560d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), avg(cd_dep_count#26), max(cd_dep_count#26), sum(cd_dep_count#26), avg(cd_dep_employed_count#27), max(cd_dep_employed_count#27), sum(cd_dep_employed_count#27), avg(cd_dep_college_count#28), max(cd_dep_college_count#28), sum(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, avg(cd_dep_count#26)#58, max(cd_dep_count#26)#59, sum(cd_dep_count#26)#60, avg(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, sum(cd_dep_employed_count#27)#63, avg(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, sum(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, count(1)#57 AS cnt1#67, avg(cd_dep_count#26)#58 AS avg(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, sum(cd_dep_count#26)#60 AS sum(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, avg(cd_dep_employed_count#27)#61 AS avg(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, sum(cd_dep_employed_count#27)#63 AS sum(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, avg(cd_dep_college_count#28)#64 AS avg(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, sum(cd_dep_college_count#28)#66 AS sum(cd_dep_college_count)#78] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cd_dep_count#26,cnt1#57,avg(cd_dep_count)#58,max(cd_dep_count)#59,sum(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,avg(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,sum(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,avg(cd_dep_college_count)#66,max(cd_dep_college_count)#67,sum(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35.native_iceberg_compat/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/explain.txt index c8f5d42144..9a8dc6560d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (47) -+- * HashAggregate (46) - +- * CometColumnarToRow (45) +* CometColumnarToRow (47) ++- CometTakeOrderedAndProject (46) + +- CometHashAggregate (45) +- CometColumnarExchange (44) +- * HashAggregate (43) +- * Project (42) @@ -253,19 +253,17 @@ Results [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Arguments: hashpartitioning(ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(45) CometColumnarToRow [codegen id : 6] -Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] - -(46) HashAggregate [codegen id : 6] +(45) CometHashAggregate Input [19]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28, count#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52, sum#53, count#54, max#55, sum#56] Keys [6]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cd_dep_employed_count#27, cd_dep_college_count#28] Functions [10]: [count(1), avg(cd_dep_count#26), max(cd_dep_count#26), sum(cd_dep_count#26), avg(cd_dep_employed_count#27), max(cd_dep_employed_count#27), sum(cd_dep_employed_count#27), avg(cd_dep_college_count#28), max(cd_dep_college_count#28), sum(cd_dep_college_count#28)] -Aggregate Attributes [10]: [count(1)#57, avg(cd_dep_count#26)#58, max(cd_dep_count#26)#59, sum(cd_dep_count#26)#60, avg(cd_dep_employed_count#27)#61, max(cd_dep_employed_count#27)#62, sum(cd_dep_employed_count#27)#63, avg(cd_dep_college_count#28)#64, max(cd_dep_college_count#28)#65, sum(cd_dep_college_count#28)#66] -Results [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, count(1)#57 AS cnt1#67, avg(cd_dep_count#26)#58 AS avg(cd_dep_count)#68, max(cd_dep_count#26)#59 AS max(cd_dep_count)#69, sum(cd_dep_count#26)#60 AS sum(cd_dep_count)#70, cd_dep_employed_count#27, count(1)#57 AS cnt2#71, avg(cd_dep_employed_count#27)#61 AS avg(cd_dep_employed_count)#72, max(cd_dep_employed_count#27)#62 AS max(cd_dep_employed_count)#73, sum(cd_dep_employed_count#27)#63 AS sum(cd_dep_employed_count)#74, cd_dep_college_count#28, count(1)#57 AS cnt3#75, avg(cd_dep_college_count#28)#64 AS avg(cd_dep_college_count)#76, max(cd_dep_college_count#28)#65 AS max(cd_dep_college_count)#77, sum(cd_dep_college_count#28)#66 AS sum(cd_dep_college_count)#78] -(47) TakeOrderedAndProject -Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] -Arguments: 100, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#67, avg(cd_dep_count)#68, max(cd_dep_count)#69, sum(cd_dep_count)#70, cd_dep_employed_count#27, cnt2#71, avg(cd_dep_employed_count)#72, max(cd_dep_employed_count)#73, sum(cd_dep_employed_count)#74, cd_dep_college_count#28, cnt3#75, avg(cd_dep_college_count)#76, max(cd_dep_college_count)#77, sum(cd_dep_college_count)#78] +(46) CometTakeOrderedAndProject +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#22 ASC NULLS FIRST,cd_gender#29 ASC NULLS FIRST,cd_marital_status#30 ASC NULLS FIRST,cd_dep_count#26 ASC NULLS FIRST,cd_dep_employed_count#27 ASC NULLS FIRST,cd_dep_college_count#28 ASC NULLS FIRST], output=[ca_state#22,cd_gender#29,cd_marital_status#30,cd_dep_count#26,cnt1#57,avg(cd_dep_count)#58,max(cd_dep_count)#59,sum(cd_dep_count)#60,cd_dep_employed_count#27,cnt2#61,avg(cd_dep_employed_count)#62,max(cd_dep_employed_count)#63,sum(cd_dep_employed_count)#64,cd_dep_college_count#28,cnt3#65,avg(cd_dep_college_count)#66,max(cd_dep_college_count)#67,sum(cd_dep_college_count)#68]), [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68], 100, 0, [ca_state#22 ASC NULLS FIRST, cd_gender#29 ASC NULLS FIRST, cd_marital_status#30 ASC NULLS FIRST, cd_dep_count#26 ASC NULLS FIRST, cd_dep_employed_count#27 ASC NULLS FIRST, cd_dep_college_count#28 ASC NULLS FIRST], [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] + +(47) CometColumnarToRow [codegen id : 6] +Input [18]: [ca_state#22, cd_gender#29, cd_marital_status#30, cd_dep_count#26, cnt1#57, avg(cd_dep_count)#58, max(cd_dep_count)#59, sum(cd_dep_count)#60, cd_dep_employed_count#27, cnt2#61, avg(cd_dep_employed_count)#62, max(cd_dep_employed_count)#63, sum(cd_dep_employed_count)#64, cd_dep_college_count#28, cnt3#65, avg(cd_dep_college_count)#66, max(cd_dep_college_count)#67, sum(cd_dep_college_count)#68] ===== Subqueries ===== diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/extended.txt index a6f33d6f7e..aa449fdee2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -60,4 +60,4 @@ TakeOrderedAndProject +- CometFilter +- CometScan [native_iceberg_compat] parquet spark_catalog.default.customer_demographics -Comet accelerated 35 out of 54 eligible operators (64%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 37 out of 54 eligible operators (68%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/simplified.txt index fea6a32741..c99fea5c06 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (6) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (6) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (5) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/explain.txt index bfbcea798a..606a3ae37b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/explain.txt @@ -1,7 +1,7 @@ == Physical Plan == -TakeOrderedAndProject (43) -+- * HashAggregate (42) - +- * CometColumnarToRow (41) +* CometColumnarToRow (43) ++- CometTakeOrderedAndProject (42) + +- CometHashAggregate (41) +- CometColumnarExchange (40) +- * HashAggregate (39) +- * Project (38) @@ -228,19 +228,17 @@ Results [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Arguments: hashpartitioning(ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) CometColumnarToRow [codegen id : 10] -Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] - -(42) HashAggregate [codegen id : 10] +(41) CometHashAggregate Input [19]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24, count#40, sum#41, count#42, max#43, sum#44, sum#45, count#46, max#47, sum#48, sum#49, count#50, max#51, sum#52] Keys [6]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cd_dep_employed_count#23, cd_dep_college_count#24] Functions [10]: [count(1), avg(cd_dep_count#22), max(cd_dep_count#22), sum(cd_dep_count#22), avg(cd_dep_employed_count#23), max(cd_dep_employed_count#23), sum(cd_dep_employed_count#23), avg(cd_dep_college_count#24), max(cd_dep_college_count#24), sum(cd_dep_college_count#24)] -Aggregate Attributes [10]: [count(1)#53, avg(cd_dep_count#22)#54, max(cd_dep_count#22)#55, sum(cd_dep_count#22)#56, avg(cd_dep_employed_count#23)#57, max(cd_dep_employed_count#23)#58, sum(cd_dep_employed_count#23)#59, avg(cd_dep_college_count#24)#60, max(cd_dep_college_count#24)#61, sum(cd_dep_college_count#24)#62] -Results [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, count(1)#53 AS cnt1#63, avg(cd_dep_count#22)#54 AS avg(cd_dep_count)#64, max(cd_dep_count#22)#55 AS max(cd_dep_count)#65, sum(cd_dep_count#22)#56 AS sum(cd_dep_count)#66, cd_dep_employed_count#23, count(1)#53 AS cnt2#67, avg(cd_dep_employed_count#23)#57 AS avg(cd_dep_employed_count)#68, max(cd_dep_employed_count#23)#58 AS max(cd_dep_employed_count)#69, sum(cd_dep_employed_count#23)#59 AS sum(cd_dep_employed_count)#70, cd_dep_college_count#24, count(1)#53 AS cnt3#71, avg(cd_dep_college_count#24)#60 AS avg(cd_dep_college_count)#72, max(cd_dep_college_count#24)#61 AS max(cd_dep_college_count)#73, sum(cd_dep_college_count#24)#62 AS sum(cd_dep_college_count)#74] -(43) TakeOrderedAndProject -Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] -Arguments: 100, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#63, avg(cd_dep_count)#64, max(cd_dep_count)#65, sum(cd_dep_count)#66, cd_dep_employed_count#23, cnt2#67, avg(cd_dep_employed_count)#68, max(cd_dep_employed_count)#69, sum(cd_dep_employed_count)#70, cd_dep_college_count#24, cnt3#71, avg(cd_dep_college_count)#72, max(cd_dep_college_count)#73, sum(cd_dep_college_count)#74] +(42) CometTakeOrderedAndProject +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[ca_state#18 ASC NULLS FIRST,cd_gender#25 ASC NULLS FIRST,cd_marital_status#26 ASC NULLS FIRST,cd_dep_count#22 ASC NULLS FIRST,cd_dep_employed_count#23 ASC NULLS FIRST,cd_dep_college_count#24 ASC NULLS FIRST], output=[ca_state#18,cd_gender#25,cd_marital_status#26,cd_dep_count#22,cnt1#53,avg(cd_dep_count)#54,max(cd_dep_count)#55,sum(cd_dep_count)#56,cd_dep_employed_count#23,cnt2#57,avg(cd_dep_employed_count)#58,max(cd_dep_employed_count)#59,sum(cd_dep_employed_count)#60,cd_dep_college_count#24,cnt3#61,avg(cd_dep_college_count)#62,max(cd_dep_college_count)#63,sum(cd_dep_college_count)#64]), [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64], 100, 0, [ca_state#18 ASC NULLS FIRST, cd_gender#25 ASC NULLS FIRST, cd_marital_status#26 ASC NULLS FIRST, cd_dep_count#22 ASC NULLS FIRST, cd_dep_employed_count#23 ASC NULLS FIRST, cd_dep_college_count#24 ASC NULLS FIRST], [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] + +(43) CometColumnarToRow [codegen id : 10] +Input [18]: [ca_state#18, cd_gender#25, cd_marital_status#26, cd_dep_count#22, cnt1#53, avg(cd_dep_count)#54, max(cd_dep_count)#55, sum(cd_dep_count)#56, cd_dep_employed_count#23, cnt2#57, avg(cd_dep_employed_count)#58, max(cd_dep_employed_count)#59, sum(cd_dep_employed_count)#60, cd_dep_college_count#24, cnt3#61, avg(cd_dep_college_count)#62, max(cd_dep_college_count)#63, sum(cd_dep_college_count)#64] ===== Subqueries ===== @@ -253,18 +251,18 @@ BroadcastExchange (48) (44) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#7, d_year#75, d_qoy#76] +Output [3]: [d_date_sk#7, d_year#65, d_qoy#66] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_qoy), EqualTo(d_year,1999), LessThan(d_qoy,4), IsNotNull(d_date_sk)] ReadSchema: struct (45) CometFilter -Input [3]: [d_date_sk#7, d_year#75, d_qoy#76] -Condition : ((((isnotnull(d_year#75) AND isnotnull(d_qoy#76)) AND (d_year#75 = 1999)) AND (d_qoy#76 < 4)) AND isnotnull(d_date_sk#7)) +Input [3]: [d_date_sk#7, d_year#65, d_qoy#66] +Condition : ((((isnotnull(d_year#65) AND isnotnull(d_qoy#66)) AND (d_year#65 = 1999)) AND (d_qoy#66 < 4)) AND isnotnull(d_date_sk#7)) (46) CometProject -Input [3]: [d_date_sk#7, d_year#75, d_qoy#76] +Input [3]: [d_date_sk#7, d_year#65, d_qoy#66] Arguments: [d_date_sk#7], [d_date_sk#7] (47) CometColumnarToRow [codegen id : 1] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/extended.txt index 8aebe6be9a..e6e1a2c413 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/extended.txt @@ -1,6 +1,6 @@ -TakeOrderedAndProject -+- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -62,4 +62,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.customer_demographics -Comet accelerated 21 out of 52 eligible operators (40%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 23 out of 52 eligible operators (44%). Final plan contains 11 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/simplified.txt index bed891a0a3..d943c16ef0 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q35a.native_datafusion/simplified.txt @@ -1,8 +1,8 @@ -TakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] - WholeStageCodegen (10) - HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] + CometHashAggregate [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] [ca_state,cd_gender,cd_marital_status,cd_dep_count,cnt1,avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),cd_dep_employed_count,cnt2,avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),cd_dep_college_count,cnt3,avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count),count(1),avg(cd_dep_count),max(cd_dep_count),sum(cd_dep_count),avg(cd_dep_employed_count),max(cd_dep_employed_count),sum(cd_dep_employed_count),avg(cd_dep_college_count),max(cd_dep_college_count),sum(cd_dep_college_count)] CometColumnarExchange [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] #1 WholeStageCodegen (9) HashAggregate [ca_state,cd_gender,cd_marital_status,cd_dep_count,cd_dep_employed_count,cd_dep_college_count] [count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum,count,sum,count,max,sum,sum,count,max,sum,sum,count,max,sum] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/explain.txt index 19961d7852..729c8573ce 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/explain.txt @@ -1,52 +1,47 @@ == Physical Plan == -TakeOrderedAndProject (48) -+- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- CometExchange (43) - +- CometHashAggregate (42) - +- CometColumnarExchange (41) - +- * HashAggregate (40) - +- Union (39) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.item (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.store (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) - +- CometColumnarExchange (36) - +- * HashAggregate (35) - +- * HashAggregate (34) - +- * CometColumnarToRow (33) - +- ReusedExchange (32) +TakeOrderedAndProject (43) ++- * Project (42) + +- Window (41) + +- * CometColumnarToRow (40) + +- CometSort (39) + +- CometExchange (38) + +- CometHashAggregate (37) + +- CometExchange (36) + +- CometHashAggregate (35) + +- CometUnion (34) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.item (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.store (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + +- CometHashAggregate (33) + +- CometExchange (32) + +- CometHashAggregate (31) + +- CometHashAggregate (30) + +- ReusedExchange (29) (1) Scan parquet spark_catalog.default.store_sales @@ -64,7 +59,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_ext_sales_price#3, ss_net_profit#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_item_sk#1) AND isnotnull(ss_store_sk#2)) -(4) ReusedExchange [Reuses operator id: 53] +(4) ReusedExchange [Reuses operator id: 48] Output [1]: [d_date_sk#7] (5) BroadcastHashJoin [codegen id : 4] @@ -152,154 +147,126 @@ Results [4]: [i_category#12, i_class#11, sum#17, sum#18] Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Arguments: hashpartitioning(i_category#12, i_class#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [4]: [i_category#12, i_class#11, sum#17, sum#18] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [4]: [i_category#12, i_class#11, sum#17, sum#18] Keys [2]: [i_category#12, i_class#11] Functions [2]: [sum(UnscaledValue(ss_net_profit#4)), sum(UnscaledValue(ss_ext_sales_price#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#4))#19, sum(UnscaledValue(ss_ext_sales_price#3))#20] -Results [6]: [cast((MakeDecimal(sum(UnscaledValue(ss_net_profit#4))#19,17,2) / MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#3))#20,17,2)) as decimal(38,11)) AS gross_margin#21, i_category#12 AS i_category#22, i_class#11 AS i_class#23, 0 AS t_category#24, 0 AS t_class#25, 0 AS lochierarchy#26] - -(25) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#27, i_class#28, sum#29, sum#30] - -(26) CometColumnarToRow [codegen id : 10] -Input [4]: [i_category#27, i_class#28, sum#29, sum#30] - -(27) HashAggregate [codegen id : 10] -Input [4]: [i_category#27, i_class#28, sum#29, sum#30] -Keys [2]: [i_category#27, i_class#28] -Functions [2]: [sum(UnscaledValue(ss_net_profit#31)), sum(UnscaledValue(ss_ext_sales_price#32))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#31))#33, sum(UnscaledValue(ss_ext_sales_price#32))#34] -Results [3]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#31))#33,17,2) AS ss_net_profit#35, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#32))#34,17,2) AS ss_ext_sales_price#36, i_category#27] - -(28) HashAggregate [codegen id : 10] -Input [3]: [ss_net_profit#35, ss_ext_sales_price#36, i_category#27] -Keys [1]: [i_category#27] -Functions [2]: [partial_sum(ss_net_profit#35), partial_sum(ss_ext_sales_price#36)] -Aggregate Attributes [4]: [sum#37, isEmpty#38, sum#39, isEmpty#40] -Results [5]: [i_category#27, sum#41, isEmpty#42, sum#43, isEmpty#44] - -(29) CometColumnarExchange -Input [5]: [i_category#27, sum#41, isEmpty#42, sum#43, isEmpty#44] -Arguments: hashpartitioning(i_category#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(30) CometColumnarToRow [codegen id : 11] -Input [5]: [i_category#27, sum#41, isEmpty#42, sum#43, isEmpty#44] - -(31) HashAggregate [codegen id : 11] -Input [5]: [i_category#27, sum#41, isEmpty#42, sum#43, isEmpty#44] -Keys [1]: [i_category#27] -Functions [2]: [sum(ss_net_profit#35), sum(ss_ext_sales_price#36)] -Aggregate Attributes [2]: [sum(ss_net_profit#35)#45, sum(ss_ext_sales_price#36)#46] -Results [6]: [(sum(ss_net_profit#35)#45 / sum(ss_ext_sales_price#36)#46) AS gross_margin#47, i_category#27, null AS i_class#48, 0 AS t_category#49, 1 AS t_class#50, 1 AS lochierarchy#51] - -(32) ReusedExchange [Reuses operator id: 22] -Output [4]: [i_category#52, i_class#53, sum#54, sum#55] - -(33) CometColumnarToRow [codegen id : 16] -Input [4]: [i_category#52, i_class#53, sum#54, sum#55] - -(34) HashAggregate [codegen id : 16] -Input [4]: [i_category#52, i_class#53, sum#54, sum#55] -Keys [2]: [i_category#52, i_class#53] -Functions [2]: [sum(UnscaledValue(ss_net_profit#56)), sum(UnscaledValue(ss_ext_sales_price#57))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_net_profit#56))#33, sum(UnscaledValue(ss_ext_sales_price#57))#34] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#56))#33,17,2) AS ss_net_profit#58, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#57))#34,17,2) AS ss_ext_sales_price#59] - -(35) HashAggregate [codegen id : 16] -Input [2]: [ss_net_profit#58, ss_ext_sales_price#59] -Keys: [] -Functions [2]: [partial_sum(ss_net_profit#58), partial_sum(ss_ext_sales_price#59)] -Aggregate Attributes [4]: [sum#60, isEmpty#61, sum#62, isEmpty#63] -Results [4]: [sum#64, isEmpty#65, sum#66, isEmpty#67] -(36) CometColumnarExchange -Input [4]: [sum#64, isEmpty#65, sum#66, isEmpty#67] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(24) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#19, i_class#20, sum#21, sum#22] + +(25) CometHashAggregate +Input [4]: [i_category#19, i_class#20, sum#21, sum#22] +Keys [2]: [i_category#19, i_class#20] +Functions [2]: [sum(UnscaledValue(ss_net_profit#23)), sum(UnscaledValue(ss_ext_sales_price#24))] + +(26) CometHashAggregate +Input [3]: [ss_net_profit#25, ss_ext_sales_price#26, i_category#19] +Keys [1]: [i_category#19] +Functions [2]: [partial_sum(ss_net_profit#25), partial_sum(ss_ext_sales_price#26)] + +(27) CometExchange +Input [5]: [i_category#19, sum#27, isEmpty#28, sum#29, isEmpty#30] +Arguments: hashpartitioning(i_category#19, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(28) CometHashAggregate +Input [5]: [i_category#19, sum#27, isEmpty#28, sum#29, isEmpty#30] +Keys [1]: [i_category#19] +Functions [2]: [sum(ss_net_profit#25), sum(ss_ext_sales_price#26)] + +(29) ReusedExchange [Reuses operator id: 22] +Output [4]: [i_category#31, i_class#32, sum#33, sum#34] + +(30) CometHashAggregate +Input [4]: [i_category#31, i_class#32, sum#33, sum#34] +Keys [2]: [i_category#31, i_class#32] +Functions [2]: [sum(UnscaledValue(ss_net_profit#35)), sum(UnscaledValue(ss_ext_sales_price#36))] + +(31) CometHashAggregate +Input [2]: [ss_net_profit#37, ss_ext_sales_price#38] +Keys: [] +Functions [2]: [partial_sum(ss_net_profit#37), partial_sum(ss_ext_sales_price#38)] -(37) CometColumnarToRow [codegen id : 17] -Input [4]: [sum#64, isEmpty#65, sum#66, isEmpty#67] +(32) CometExchange +Input [4]: [sum#39, isEmpty#40, sum#41, isEmpty#42] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(38) HashAggregate [codegen id : 17] -Input [4]: [sum#64, isEmpty#65, sum#66, isEmpty#67] +(33) CometHashAggregate +Input [4]: [sum#39, isEmpty#40, sum#41, isEmpty#42] Keys: [] -Functions [2]: [sum(ss_net_profit#58), sum(ss_ext_sales_price#59)] -Aggregate Attributes [2]: [sum(ss_net_profit#58)#68, sum(ss_ext_sales_price#59)#69] -Results [6]: [(sum(ss_net_profit#58)#68 / sum(ss_ext_sales_price#59)#69) AS gross_margin#70, null AS i_category#71, null AS i_class#72, 1 AS t_category#73, 1 AS t_class#74, 2 AS lochierarchy#75] +Functions [2]: [sum(ss_net_profit#37), sum(ss_ext_sales_price#38)] -(39) Union +(34) CometUnion +Child 0 Input [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] +Child 1 Input [6]: [gross_margin#49, i_category#19, i_class#50, t_category#51, t_class#52, lochierarchy#53] +Child 2 Input [6]: [gross_margin#54, i_category#55, i_class#56, t_category#57, t_class#58, lochierarchy#59] -(40) HashAggregate [codegen id : 18] -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(35) CometHashAggregate +Input [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] +Keys [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] Functions: [] -Aggregate Attributes: [] -Results [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -(41) CometColumnarExchange -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Arguments: hashpartitioning(gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(36) CometExchange +Input [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] +Arguments: hashpartitioning(gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(42) CometHashAggregate -Input [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] -Keys [6]: [gross_margin#21, i_category#22, i_class#23, t_category#24, t_class#25, lochierarchy#26] +(37) CometHashAggregate +Input [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] +Keys [6]: [gross_margin#43, i_category#44, i_class#45, t_category#46, t_class#47, lochierarchy#48] Functions: [] -(43) CometExchange -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76] -Arguments: hashpartitioning(lochierarchy#26, _w0#76, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60] +Arguments: hashpartitioning(lochierarchy#48, _w0#60, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(44) CometSort -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76] -Arguments: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76], [lochierarchy#26 ASC NULLS FIRST, _w0#76 ASC NULLS FIRST, gross_margin#21 ASC NULLS FIRST] +(39) CometSort +Input [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60] +Arguments: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60], [lochierarchy#48 ASC NULLS FIRST, _w0#60 ASC NULLS FIRST, gross_margin#43 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 19] -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76] +(40) CometColumnarToRow [codegen id : 13] +Input [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60] -(46) Window -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76] -Arguments: [rank(gross_margin#21) windowspecdefinition(lochierarchy#26, _w0#76, gross_margin#21 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#77], [lochierarchy#26, _w0#76], [gross_margin#21 ASC NULLS FIRST] +(41) Window +Input [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60] +Arguments: [rank(gross_margin#43) windowspecdefinition(lochierarchy#48, _w0#60, gross_margin#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#61], [lochierarchy#48, _w0#60], [gross_margin#43 ASC NULLS FIRST] -(47) Project [codegen id : 20] -Output [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#77] -Input [6]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, _w0#76, rank_within_parent#77] +(42) Project [codegen id : 14] +Output [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, rank_within_parent#61] +Input [6]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, _w0#60, rank_within_parent#61] -(48) TakeOrderedAndProject -Input [5]: [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#77] -Arguments: 100, [lochierarchy#26 DESC NULLS LAST, CASE WHEN (lochierarchy#26 = 0) THEN i_category#22 END ASC NULLS FIRST, rank_within_parent#77 ASC NULLS FIRST], [gross_margin#21, i_category#22, i_class#23, lochierarchy#26, rank_within_parent#77] +(43) TakeOrderedAndProject +Input [5]: [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, rank_within_parent#61] +Arguments: 100, [lochierarchy#48 DESC NULLS LAST, CASE WHEN (lochierarchy#48 = 0) THEN i_category#44 END ASC NULLS FIRST, rank_within_parent#61 ASC NULLS FIRST], [gross_margin#43, i_category#44, i_class#45, lochierarchy#48, rank_within_parent#61] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (53) -+- * CometColumnarToRow (52) - +- CometProject (51) - +- CometFilter (50) - +- CometNativeScan parquet spark_catalog.default.date_dim (49) +BroadcastExchange (48) ++- * CometColumnarToRow (47) + +- CometProject (46) + +- CometFilter (45) + +- CometNativeScan parquet spark_catalog.default.date_dim (44) -(49) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#7, d_year#78] +(44) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#7, d_year#62] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), IsNotNull(d_date_sk)] ReadSchema: struct -(50) CometFilter -Input [2]: [d_date_sk#7, d_year#78] -Condition : ((isnotnull(d_year#78) AND (d_year#78 = 2001)) AND isnotnull(d_date_sk#7)) +(45) CometFilter +Input [2]: [d_date_sk#7, d_year#62] +Condition : ((isnotnull(d_year#62) AND (d_year#62 = 2001)) AND isnotnull(d_date_sk#7)) -(51) CometProject -Input [2]: [d_date_sk#7, d_year#78] +(46) CometProject +Input [2]: [d_date_sk#7, d_year#62] Arguments: [d_date_sk#7], [d_date_sk#7] -(52) CometColumnarToRow [codegen id : 1] +(47) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#7] -(53) BroadcastExchange +(48) BroadcastExchange Input [1]: [d_date_sk#7] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/extended.txt index 7d9e9883d2..65d4e76c9e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/extended.txt @@ -5,118 +5,113 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.item - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.item + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 45 out of 99 eligible operators (45%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 54 out of 99 eligible operators (54%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/simplified.txt index 65728fc6f2..49f763301b 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q36a.native_datafusion/simplified.txt @@ -1,81 +1,64 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,gross_margin,i_class] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [gross_margin,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [gross_margin,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [gross_margin,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [t_category] [gross_margin,i_category,i_class,lochierarchy,_w0,t_class] - CometColumnarExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometProject [s_store_sk] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - WholeStageCodegen (11) - HashAggregate [i_category,sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #7 - WholeStageCodegen (10) - HashAggregate [i_category,ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty,sum,isEmpty] [sum(ss_net_profit),sum(ss_ext_sales_price),gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #8 - WholeStageCodegen (16) - HashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum,sum] [sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),ss_net_profit,ss_ext_sales_price,sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum,sum] #3 + CometExchange [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] #2 + CometHashAggregate [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometUnion [gross_margin,i_category,i_class,t_category,t_class,lochierarchy] + CometHashAggregate [sum,sum] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,ss_net_profit,ss_ext_sales_price] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange [i_category] #7 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [i_category,sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,i_category,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 + CometHashAggregate [sum,isEmpty,sum,isEmpty] [gross_margin,i_category,i_class,t_category,t_class,lochierarchy,sum(ss_net_profit),sum(ss_ext_sales_price)] + CometExchange #8 + CometHashAggregate [ss_net_profit,ss_ext_sales_price] [sum,isEmpty,sum,isEmpty] + CometHashAggregate [i_category,i_class,sum,sum] [ss_net_profit,ss_ext_sales_price,sum(UnscaledValue(ss_net_profit)),sum(UnscaledValue(ss_ext_sales_price))] + ReusedExchange [i_category,i_class,sum,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/explain.txt index 490593f3bf..dd6c7134ea 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.store (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.store (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, ss_item_sk#6, ss_store_sk#7, ss_sales_price#8, ss_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_yea Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [7]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum#18] Keys [6]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(ss_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#8))#19] -Results [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS sum_sales#20, MakeDecimal(sum(UnscaledValue(ss_sales_price#8))#19,17,2) AS _w0#21] -(24) CometColumnarExchange -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: hashpartitioning(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, s_store_name#15 ASC NULLS FIRST, s_company_name#16 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] +(25) CometColumnarToRow [codegen id : 5] +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] -(27) Window -Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [8]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] +(27) Filter [codegen id : 6] +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22] -Arguments: [avg(_w0#21) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#23], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] - -(30) Filter [codegen id : 22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] -Condition : ((isnotnull(avg_monthly_sales#23) AND (avg_monthly_sales#23 > 0.000000)) AND CASE WHEN (avg_monthly_sales#23 > 0.000000) THEN ((abs((sum_sales#20 - avg_monthly_sales#23)) / avg_monthly_sales#23) > 0.1000000000000000) END) +(28) Window +Input [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12] -(31) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22] -Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, _w0#21, rn#22, avg_monthly_sales#23] +(29) Filter [codegen id : 19] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] +(30) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] +Input [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -(33) CometColumnarToRow [codegen id : 12] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] +(31) ReusedExchange [Reuses operator id: 21] +Output [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum#29] -(34) HashAggregate [codegen id : 12] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum#30] -Keys [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29] -Functions [1]: [sum(UnscaledValue(ss_sales_price#31))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#31))#19] -Results [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, MakeDecimal(sum(UnscaledValue(ss_sales_price#31))#19,17,2) AS sum_sales#32] +(32) CometHashAggregate +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum#29] +Keys [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28] +Functions [1]: [sum(UnscaledValue(ss_sales_price#30))] -(35) CometColumnarExchange -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: hashpartitioning(i_category#24, i_brand#25, s_store_name#26, s_company_name#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: hashpartitioning(i_category#23, i_brand#24, s_store_name#25, s_company_name#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32], [i_category#24 ASC NULLS FIRST, i_brand#25 ASC NULLS FIRST, s_store_name#26 ASC NULLS FIRST, s_company_name#27 ASC NULLS FIRST, d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST] +(34) CometSort +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31], [i_category#23 ASC NULLS FIRST, i_brand#24 ASC NULLS FIRST, s_store_name#25 ASC NULLS FIRST, s_company_name#26 ASC NULLS FIRST, d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] +(35) CometColumnarToRow [codegen id : 11] +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] -(38) Window -Input [7]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32] -Arguments: [rank(d_year#28, d_moy#29) windowspecdefinition(i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#33], [i_category#24, i_brand#25, s_store_name#26, s_company_name#27], [d_year#28 ASC NULLS FIRST, d_moy#29 ASC NULLS FIRST] +(36) Window +Input [7]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31] +Arguments: [rank(d_year#27, d_moy#28) windowspecdefinition(i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#32], [i_category#23, i_brand#24, s_store_name#25, s_company_name#26], [d_year#27 ASC NULLS FIRST, d_moy#28 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] -Input [8]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, d_year#28, d_moy#29, sum_sales#32, rn#33] +(37) Project [codegen id : 12] +Output [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] +Input [8]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, d_year#27, d_moy#28, sum_sales#31, rn#32] -(40) BroadcastExchange -Input [6]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] +(38) BroadcastExchange +Input [6]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#24, i_brand#25, s_store_name#26, s_company_name#27, (rn#33 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#23, i_brand#24, s_store_name#25, s_company_name#26, (rn#32 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#32] -Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, i_category#24, i_brand#25, s_store_name#26, s_company_name#27, sum_sales#32, rn#33] +(40) Project [codegen id : 19] +Output [10]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31] +Input [15]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#23, i_brand#24, s_store_name#25, s_company_name#26, sum_sales#31, rn#32] -(43) ReusedExchange [Reuses operator id: 35] -Output [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] +(41) ReusedExchange [Reuses operator id: 33] +Output [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] -(44) CometSort -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] -Arguments: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40], [i_category#34 ASC NULLS FIRST, i_brand#35 ASC NULLS FIRST, s_store_name#36 ASC NULLS FIRST, s_company_name#37 ASC NULLS FIRST, d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST] +(42) CometSort +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] +Arguments: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39], [i_category#33 ASC NULLS FIRST, i_brand#34 ASC NULLS FIRST, s_store_name#35 ASC NULLS FIRST, s_company_name#36 ASC NULLS FIRST, d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] +(43) CometColumnarToRow [codegen id : 17] +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] -(46) Window -Input [7]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40] -Arguments: [rank(d_year#38, d_moy#39) windowspecdefinition(i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#41], [i_category#34, i_brand#35, s_store_name#36, s_company_name#37], [d_year#38 ASC NULLS FIRST, d_moy#39 ASC NULLS FIRST] +(44) Window +Input [7]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39] +Arguments: [rank(d_year#37, d_moy#38) windowspecdefinition(i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#40], [i_category#33, i_brand#34, s_store_name#35, s_company_name#36], [d_year#37 ASC NULLS FIRST, d_moy#38 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [6]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] -Input [8]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, d_year#38, d_moy#39, sum_sales#40, rn#41] +(45) Project [codegen id : 18] +Output [6]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] +Input [8]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, d_year#37, d_moy#38, sum_sales#39, rn#40] -(48) BroadcastExchange -Input [6]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] +(46) BroadcastExchange +Input [6]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], input[3, string, true], (input[5, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#22] -Right keys [5]: [i_category#34, i_brand#35, s_store_name#36, s_company_name#37, (rn#41 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [5]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, rn#21] +Right keys [5]: [i_category#33, i_brand#34, s_store_name#35, s_company_name#36, (rn#40 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, sum_sales#32 AS psum#42, sum_sales#40 AS nsum#43] -Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#20, avg_monthly_sales#23, rn#22, sum_sales#32, i_category#34, i_brand#35, s_store_name#36, s_company_name#37, sum_sales#40, rn#41] +(48) Project [codegen id : 19] +Output [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#31 AS psum#41, sum_sales#39 AS nsum#42] +Input [16]: [i_category#5, i_brand#4, s_store_name#15, s_company_name#16, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#31, i_category#33, i_brand#34, s_store_name#35, s_company_name#36, sum_sales#39, rn#40] -(51) TakeOrderedAndProject -Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] -Arguments: 100, [(sum_sales#20 - avg_monthly_sales#23) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#23, sum_sales#20, psum#42, nsum#43] +(49) TakeOrderedAndProject +Input [7]: [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] +Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST], [i_category#5, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#41, nsum#42] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/extended.txt index 092083e465..9b87cf2d9c 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.store + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.store -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/simplified.txt index ee8e4dd40c..81fdb92425 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q47.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,s_store_name,s_company_name,rn,i_category,i_brand,s_store_name,s_company_name,rn] Project [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_moy,i_category,d_year,psum, Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,s_store_name,s_company_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] - Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] - BroadcastHashJoin [i_item_sk,ss_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [ss_item_sk,ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,s_store_name,s_company_name] #1 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,ss_sales_price] [sum,sum] + Project [i_brand,i_category,ss_sales_price,d_year,d_moy,s_store_name,s_company_name] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,d_year,d_moy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [i_brand,i_category,ss_store_sk,ss_sales_price,ss_sold_date_sk] + BroadcastHashJoin [i_item_sk,ss_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_store_name,s_company_name] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [ss_item_sk,ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_store_name,s_company_name] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_name,s_company_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,s_store_name,s_company_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] [sum(UnscaledValue(ss_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,s_store_name,s_company_name] #7 + CometHashAggregate [sum] [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales,sum(UnscaledValue(ss_sales_price))] + ReusedExchange [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,s_store_name,s_company_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,s_store_name,s_company_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,s_store_name,s_company_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/explain.txt index 070113d8ea..2ef9d10c5d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/explain.txt @@ -1,88 +1,85 @@ == Physical Plan == -* CometColumnarToRow (84) -+- CometTakeOrderedAndProject (83) - +- CometHashAggregate (82) - +- CometColumnarExchange (81) - +- * HashAggregate (80) - +- Union (79) - :- * Project (26) - : +- * Filter (25) - : +- Window (24) - : +- * Sort (23) - : +- Window (22) - : +- * CometColumnarToRow (21) - : +- CometSort (20) - : +- CometColumnarExchange (19) - : +- * HashAggregate (18) - : +- * CometColumnarToRow (17) - : +- CometColumnarExchange (16) - : +- * HashAggregate (15) - : +- * Project (14) - : +- * BroadcastHashJoin Inner BuildRight (13) - : :- * Project (11) - : : +- * BroadcastHashJoin Inner BuildLeft (10) - : : :- BroadcastExchange (5) - : : : +- * Project (4) - : : : +- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometFilter (7) - : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) - : +- ReusedExchange (12) - :- * Project (52) - : +- * Filter (51) - : +- Window (50) - : +- * Sort (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- CometColumnarExchange (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- CometColumnarExchange (42) - : +- * HashAggregate (41) - : +- * Project (40) - : +- * BroadcastHashJoin Inner BuildRight (39) - : :- * Project (37) - : : +- * BroadcastHashJoin Inner BuildLeft (36) - : : :- BroadcastExchange (31) - : : : +- * Project (30) - : : : +- * Filter (29) - : : : +- * ColumnarToRow (28) - : : : +- Scan parquet spark_catalog.default.catalog_sales (27) - : : +- * CometColumnarToRow (35) - : : +- CometProject (34) - : : +- CometFilter (33) - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (32) - : +- ReusedExchange (38) - +- * Project (78) - +- * Filter (77) - +- Window (76) - +- * Sort (75) - +- Window (74) - +- * CometColumnarToRow (73) - +- CometSort (72) - +- CometColumnarExchange (71) - +- * HashAggregate (70) - +- * CometColumnarToRow (69) - +- CometColumnarExchange (68) - +- * HashAggregate (67) - +- * Project (66) - +- * BroadcastHashJoin Inner BuildRight (65) - :- * Project (63) - : +- * BroadcastHashJoin Inner BuildLeft (62) - : :- BroadcastExchange (57) - : : +- * Project (56) - : : +- * Filter (55) - : : +- * ColumnarToRow (54) - : : +- Scan parquet spark_catalog.default.store_sales (53) - : +- * CometColumnarToRow (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometNativeScan parquet spark_catalog.default.store_returns (58) - +- ReusedExchange (64) +* CometColumnarToRow (81) ++- CometTakeOrderedAndProject (80) + +- CometHashAggregate (79) + +- CometColumnarExchange (78) + +- * HashAggregate (77) + +- Union (76) + :- * Project (25) + : +- * Filter (24) + : +- Window (23) + : +- * Sort (22) + : +- Window (21) + : +- * CometColumnarToRow (20) + : +- CometSort (19) + : +- CometExchange (18) + : +- CometHashAggregate (17) + : +- CometColumnarExchange (16) + : +- * HashAggregate (15) + : +- * Project (14) + : +- * BroadcastHashJoin Inner BuildRight (13) + : :- * Project (11) + : : +- * BroadcastHashJoin Inner BuildLeft (10) + : : :- BroadcastExchange (5) + : : : +- * Project (4) + : : : +- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometFilter (7) + : : +- CometNativeScan parquet spark_catalog.default.web_returns (6) + : +- ReusedExchange (12) + :- * Project (50) + : +- * Filter (49) + : +- Window (48) + : +- * Sort (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- CometExchange (43) + : +- CometHashAggregate (42) + : +- CometColumnarExchange (41) + : +- * HashAggregate (40) + : +- * Project (39) + : +- * BroadcastHashJoin Inner BuildRight (38) + : :- * Project (36) + : : +- * BroadcastHashJoin Inner BuildLeft (35) + : : :- BroadcastExchange (30) + : : : +- * Project (29) + : : : +- * Filter (28) + : : : +- * ColumnarToRow (27) + : : : +- Scan parquet spark_catalog.default.catalog_sales (26) + : : +- * CometColumnarToRow (34) + : : +- CometProject (33) + : : +- CometFilter (32) + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns (31) + : +- ReusedExchange (37) + +- * Project (75) + +- * Filter (74) + +- Window (73) + +- * Sort (72) + +- Window (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometExchange (68) + +- CometHashAggregate (67) + +- CometColumnarExchange (66) + +- * HashAggregate (65) + +- * Project (64) + +- * BroadcastHashJoin Inner BuildRight (63) + :- * Project (61) + : +- * BroadcastHashJoin Inner BuildLeft (60) + : :- BroadcastExchange (55) + : : +- * Project (54) + : : +- * Filter (53) + : : +- * ColumnarToRow (52) + : : +- Scan parquet spark_catalog.default.store_sales (51) + : +- * CometColumnarToRow (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometNativeScan parquet spark_catalog.default.store_returns (56) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -136,7 +133,7 @@ Join condition: None Output [6]: [ws_item_sk#1, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_return_quantity#10, wr_return_amt#11] Input [9]: [ws_item_sk#1, ws_order_number#2, ws_quantity#3, ws_net_paid#4, ws_sold_date_sk#6, wr_item_sk#8, wr_order_number#9, wr_return_quantity#10, wr_return_amt#11] -(12) ReusedExchange [Reuses operator id: 89] +(12) ReusedExchange [Reuses operator id: 86] Output [1]: [d_date_sk#13] (13) BroadcastHashJoin [codegen id : 3] @@ -160,338 +157,323 @@ Results [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty# Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(17) CometColumnarToRow [codegen id : 4] -Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] - -(18) HashAggregate [codegen id : 4] +(17) CometHashAggregate Input [7]: [ws_item_sk#1, sum#20, sum#21, sum#22, isEmpty#23, sum#24, isEmpty#25] Keys [1]: [ws_item_sk#1] Functions [4]: [sum(coalesce(wr_return_quantity#10, 0)), sum(coalesce(ws_quantity#3, 0)), sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00)), sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(wr_return_quantity#10, 0))#26, sum(coalesce(ws_quantity#3, 0))#27, sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28, sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29] -Results [3]: [ws_item_sk#1 AS item#30, (cast(sum(coalesce(wr_return_quantity#10, 0))#26 as decimal(15,4)) / cast(sum(coalesce(ws_quantity#3, 0))#27 as decimal(15,4))) AS return_ratio#31, (cast(sum(coalesce(cast(wr_return_amt#11 as decimal(12,2)), 0.00))#28 as decimal(15,4)) / cast(sum(coalesce(cast(ws_net_paid#4 as decimal(12,2)), 0.00))#29 as decimal(15,4))) AS currency_ratio#32] -(19) CometColumnarExchange -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(18) CometExchange +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(20) CometSort -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [item#30, return_ratio#31, currency_ratio#32], [return_ratio#31 ASC NULLS FIRST] +(19) CometSort +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [item#26, return_ratio#27, currency_ratio#28], [return_ratio#27 ASC NULLS FIRST] -(21) CometColumnarToRow [codegen id : 5] -Input [3]: [item#30, return_ratio#31, currency_ratio#32] +(20) CometColumnarToRow [codegen id : 4] +Input [3]: [item#26, return_ratio#27, currency_ratio#28] -(22) Window -Input [3]: [item#30, return_ratio#31, currency_ratio#32] -Arguments: [rank(return_ratio#31) windowspecdefinition(return_ratio#31 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#33], [return_ratio#31 ASC NULLS FIRST] +(21) Window +Input [3]: [item#26, return_ratio#27, currency_ratio#28] +Arguments: [rank(return_ratio#27) windowspecdefinition(return_ratio#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#29], [return_ratio#27 ASC NULLS FIRST] -(23) Sort [codegen id : 6] -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [currency_ratio#32 ASC NULLS FIRST], false, 0 +(22) Sort [codegen id : 5] +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [currency_ratio#28 ASC NULLS FIRST], false, 0 -(24) Window -Input [4]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33] -Arguments: [rank(currency_ratio#32) windowspecdefinition(currency_ratio#32 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#34], [currency_ratio#32 ASC NULLS FIRST] +(23) Window +Input [4]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29] +Arguments: [rank(currency_ratio#28) windowspecdefinition(currency_ratio#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#30], [currency_ratio#28 ASC NULLS FIRST] -(25) Filter [codegen id : 7] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] -Condition : ((return_rank#33 <= 10) OR (currency_rank#34 <= 10)) +(24) Filter [codegen id : 6] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] +Condition : ((return_rank#29 <= 10) OR (currency_rank#30 <= 10)) -(26) Project [codegen id : 7] -Output [5]: [web AS channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Input [5]: [item#30, return_ratio#31, currency_ratio#32, return_rank#33, currency_rank#34] +(25) Project [codegen id : 6] +Output [5]: [web AS channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Input [5]: [item#26, return_ratio#27, currency_ratio#28, return_rank#29, currency_rank#30] -(27) Scan parquet spark_catalog.default.catalog_sales -Output [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(26) Scan parquet spark_catalog.default.catalog_sales +Output [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#41), dynamicpruningexpression(cs_sold_date_sk#41 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#7)] PushedFilters: [IsNotNull(cs_net_profit), IsNotNull(cs_net_paid), IsNotNull(cs_quantity), GreaterThan(cs_net_profit,1.00), GreaterThan(cs_net_paid,0.00), GreaterThan(cs_quantity,0), IsNotNull(cs_order_number), IsNotNull(cs_item_sk)] ReadSchema: struct -(28) ColumnarToRow [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(27) ColumnarToRow [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(29) Filter [codegen id : 8] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] -Condition : (((((((isnotnull(cs_net_profit#40) AND isnotnull(cs_net_paid#39)) AND isnotnull(cs_quantity#38)) AND (cs_net_profit#40 > 1.00)) AND (cs_net_paid#39 > 0.00)) AND (cs_quantity#38 > 0)) AND isnotnull(cs_order_number#37)) AND isnotnull(cs_item_sk#36)) +(28) Filter [codegen id : 7] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : (((((((isnotnull(cs_net_profit#36) AND isnotnull(cs_net_paid#35)) AND isnotnull(cs_quantity#34)) AND (cs_net_profit#36 > 1.00)) AND (cs_net_paid#35 > 0.00)) AND (cs_quantity#34 > 0)) AND isnotnull(cs_order_number#33)) AND isnotnull(cs_item_sk#32)) -(30) Project [codegen id : 8] -Output [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] -Input [6]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_net_profit#40, cs_sold_date_sk#41] +(29) Project [codegen id : 7] +Output [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] +Input [6]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_net_profit#36, cs_sold_date_sk#37] -(31) BroadcastExchange -Input [5]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41] +(30) BroadcastExchange +Input [5]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=4] -(32) CometNativeScan parquet spark_catalog.default.catalog_returns -Output [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] +(31) CometNativeScan parquet spark_catalog.default.catalog_returns +Output [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_returns] PushedFilters: [IsNotNull(cr_return_amount), GreaterThan(cr_return_amount,10000.00), IsNotNull(cr_order_number), IsNotNull(cr_item_sk)] ReadSchema: struct -(33) CometFilter -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Condition : (((isnotnull(cr_return_amount#45) AND (cr_return_amount#45 > 10000.00)) AND isnotnull(cr_order_number#43)) AND isnotnull(cr_item_sk#42)) +(32) CometFilter +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Condition : (((isnotnull(cr_return_amount#41) AND (cr_return_amount#41 > 10000.00)) AND isnotnull(cr_order_number#39)) AND isnotnull(cr_item_sk#38)) -(34) CometProject -Input [5]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45, cr_returned_date_sk#46] -Arguments: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45], [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(33) CometProject +Input [5]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41, cr_returned_date_sk#42] +Arguments: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41], [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(35) CometColumnarToRow -Input [4]: [cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(34) CometColumnarToRow +Input [4]: [cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [2]: [cs_order_number#37, cs_item_sk#36] -Right keys [2]: [cr_order_number#43, cr_item_sk#42] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [2]: [cs_order_number#33, cs_item_sk#32] +Right keys [2]: [cr_order_number#39, cr_item_sk#38] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [6]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45] -Input [9]: [cs_item_sk#36, cs_order_number#37, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_item_sk#42, cr_order_number#43, cr_return_quantity#44, cr_return_amount#45] +(36) Project [codegen id : 9] +Output [6]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41] +Input [9]: [cs_item_sk#32, cs_order_number#33, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_item_sk#38, cr_order_number#39, cr_return_quantity#40, cr_return_amount#41] -(38) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#47] +(37) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#43] -(39) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#41] -Right keys [1]: [d_date_sk#47] +(38) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#37] +Right keys [1]: [d_date_sk#43] Join type: Inner Join condition: None -(40) Project [codegen id : 10] -Output [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Input [7]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cs_sold_date_sk#41, cr_return_quantity#44, cr_return_amount#45, d_date_sk#47] - -(41) HashAggregate [codegen id : 10] -Input [5]: [cs_item_sk#36, cs_quantity#38, cs_net_paid#39, cr_return_quantity#44, cr_return_amount#45] -Keys [1]: [cs_item_sk#36] -Functions [4]: [partial_sum(coalesce(cr_return_quantity#44, 0)), partial_sum(coalesce(cs_quantity#38, 0)), partial_sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#48, sum#49, sum#50, isEmpty#51, sum#52, isEmpty#53] -Results [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(39) Project [codegen id : 9] +Output [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Input [7]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cs_sold_date_sk#37, cr_return_quantity#40, cr_return_amount#41, d_date_sk#43] -(42) CometColumnarExchange -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Arguments: hashpartitioning(cs_item_sk#36, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(40) HashAggregate [codegen id : 9] +Input [5]: [cs_item_sk#32, cs_quantity#34, cs_net_paid#35, cr_return_quantity#40, cr_return_amount#41] +Keys [1]: [cs_item_sk#32] +Functions [4]: [partial_sum(coalesce(cr_return_quantity#40, 0)), partial_sum(coalesce(cs_quantity#34, 0)), partial_sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#44, sum#45, sum#46, isEmpty#47, sum#48, isEmpty#49] +Results [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] -(43) CometColumnarToRow [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] +(41) CometColumnarExchange +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Arguments: hashpartitioning(cs_item_sk#32, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(44) HashAggregate [codegen id : 11] -Input [7]: [cs_item_sk#36, sum#54, sum#55, sum#56, isEmpty#57, sum#58, isEmpty#59] -Keys [1]: [cs_item_sk#36] -Functions [4]: [sum(coalesce(cr_return_quantity#44, 0)), sum(coalesce(cs_quantity#38, 0)), sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(cr_return_quantity#44, 0))#60, sum(coalesce(cs_quantity#38, 0))#61, sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62, sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63] -Results [3]: [cs_item_sk#36 AS item#64, (cast(sum(coalesce(cr_return_quantity#44, 0))#60 as decimal(15,4)) / cast(sum(coalesce(cs_quantity#38, 0))#61 as decimal(15,4))) AS return_ratio#65, (cast(sum(coalesce(cast(cr_return_amount#45 as decimal(12,2)), 0.00))#62 as decimal(15,4)) / cast(sum(coalesce(cast(cs_net_paid#39 as decimal(12,2)), 0.00))#63 as decimal(15,4))) AS currency_ratio#66] +(42) CometHashAggregate +Input [7]: [cs_item_sk#32, sum#50, sum#51, sum#52, isEmpty#53, sum#54, isEmpty#55] +Keys [1]: [cs_item_sk#32] +Functions [4]: [sum(coalesce(cr_return_quantity#40, 0)), sum(coalesce(cs_quantity#34, 0)), sum(coalesce(cast(cr_return_amount#41 as decimal(12,2)), 0.00)), sum(coalesce(cast(cs_net_paid#35 as decimal(12,2)), 0.00))] -(45) CometColumnarExchange -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(43) CometExchange +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(46) CometSort -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [item#64, return_ratio#65, currency_ratio#66], [return_ratio#65 ASC NULLS FIRST] +(44) CometSort +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [item#56, return_ratio#57, currency_ratio#58], [return_ratio#57 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 12] -Input [3]: [item#64, return_ratio#65, currency_ratio#66] +(45) CometColumnarToRow [codegen id : 10] +Input [3]: [item#56, return_ratio#57, currency_ratio#58] -(48) Window -Input [3]: [item#64, return_ratio#65, currency_ratio#66] -Arguments: [rank(return_ratio#65) windowspecdefinition(return_ratio#65 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#67], [return_ratio#65 ASC NULLS FIRST] +(46) Window +Input [3]: [item#56, return_ratio#57, currency_ratio#58] +Arguments: [rank(return_ratio#57) windowspecdefinition(return_ratio#57 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#59], [return_ratio#57 ASC NULLS FIRST] -(49) Sort [codegen id : 13] -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [currency_ratio#66 ASC NULLS FIRST], false, 0 +(47) Sort [codegen id : 11] +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [currency_ratio#58 ASC NULLS FIRST], false, 0 -(50) Window -Input [4]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67] -Arguments: [rank(currency_ratio#66) windowspecdefinition(currency_ratio#66 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#68], [currency_ratio#66 ASC NULLS FIRST] +(48) Window +Input [4]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59] +Arguments: [rank(currency_ratio#58) windowspecdefinition(currency_ratio#58 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#60], [currency_ratio#58 ASC NULLS FIRST] -(51) Filter [codegen id : 14] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] -Condition : ((return_rank#67 <= 10) OR (currency_rank#68 <= 10)) +(49) Filter [codegen id : 12] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] +Condition : ((return_rank#59 <= 10) OR (currency_rank#60 <= 10)) -(52) Project [codegen id : 14] -Output [5]: [catalog AS channel#69, item#64, return_ratio#65, return_rank#67, currency_rank#68] -Input [5]: [item#64, return_ratio#65, currency_ratio#66, return_rank#67, currency_rank#68] +(50) Project [codegen id : 12] +Output [5]: [catalog AS channel#61, item#56, return_ratio#57, return_rank#59, currency_rank#60] +Input [5]: [item#56, return_ratio#57, currency_ratio#58, return_rank#59, currency_rank#60] -(53) Scan parquet spark_catalog.default.store_sales -Output [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(51) Scan parquet spark_catalog.default.store_sales +Output [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#75), dynamicpruningexpression(ss_sold_date_sk#75 IN dynamicpruning#7)] +PartitionFilters: [isnotnull(ss_sold_date_sk#67), dynamicpruningexpression(ss_sold_date_sk#67 IN dynamicpruning#7)] PushedFilters: [IsNotNull(ss_net_profit), IsNotNull(ss_net_paid), IsNotNull(ss_quantity), GreaterThan(ss_net_profit,1.00), GreaterThan(ss_net_paid,0.00), GreaterThan(ss_quantity,0), IsNotNull(ss_ticket_number), IsNotNull(ss_item_sk)] ReadSchema: struct -(54) ColumnarToRow [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(52) ColumnarToRow [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(55) Filter [codegen id : 15] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] -Condition : (((((((isnotnull(ss_net_profit#74) AND isnotnull(ss_net_paid#73)) AND isnotnull(ss_quantity#72)) AND (ss_net_profit#74 > 1.00)) AND (ss_net_paid#73 > 0.00)) AND (ss_quantity#72 > 0)) AND isnotnull(ss_ticket_number#71)) AND isnotnull(ss_item_sk#70)) +(53) Filter [codegen id : 13] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] +Condition : (((((((isnotnull(ss_net_profit#66) AND isnotnull(ss_net_paid#65)) AND isnotnull(ss_quantity#64)) AND (ss_net_profit#66 > 1.00)) AND (ss_net_paid#65 > 0.00)) AND (ss_quantity#64 > 0)) AND isnotnull(ss_ticket_number#63)) AND isnotnull(ss_item_sk#62)) -(56) Project [codegen id : 15] -Output [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] -Input [6]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_net_profit#74, ss_sold_date_sk#75] +(54) Project [codegen id : 13] +Output [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] +Input [6]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_net_profit#66, ss_sold_date_sk#67] -(57) BroadcastExchange -Input [5]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75] +(55) BroadcastExchange +Input [5]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[1, int, true] as bigint), 32) | (cast(input[0, int, true] as bigint) & 4294967295))),false), [plan_id=7] -(58) CometNativeScan parquet spark_catalog.default.store_returns -Output [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] +(56) CometNativeScan parquet spark_catalog.default.store_returns +Output [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] Batched: true Location [not included in comparison]/{warehouse_dir}/store_returns] PushedFilters: [IsNotNull(sr_return_amt), GreaterThan(sr_return_amt,10000.00), IsNotNull(sr_ticket_number), IsNotNull(sr_item_sk)] ReadSchema: struct -(59) CometFilter -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Condition : (((isnotnull(sr_return_amt#79) AND (sr_return_amt#79 > 10000.00)) AND isnotnull(sr_ticket_number#77)) AND isnotnull(sr_item_sk#76)) +(57) CometFilter +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Condition : (((isnotnull(sr_return_amt#71) AND (sr_return_amt#71 > 10000.00)) AND isnotnull(sr_ticket_number#69)) AND isnotnull(sr_item_sk#68)) -(60) CometProject -Input [5]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79, sr_returned_date_sk#80] -Arguments: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79], [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(58) CometProject +Input [5]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71, sr_returned_date_sk#72] +Arguments: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71], [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(61) CometColumnarToRow -Input [4]: [sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(59) CometColumnarToRow +Input [4]: [sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(62) BroadcastHashJoin [codegen id : 17] -Left keys [2]: [ss_ticket_number#71, ss_item_sk#70] -Right keys [2]: [sr_ticket_number#77, sr_item_sk#76] +(60) BroadcastHashJoin [codegen id : 15] +Left keys [2]: [ss_ticket_number#63, ss_item_sk#62] +Right keys [2]: [sr_ticket_number#69, sr_item_sk#68] Join type: Inner Join condition: None -(63) Project [codegen id : 17] -Output [6]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79] -Input [9]: [ss_item_sk#70, ss_ticket_number#71, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_item_sk#76, sr_ticket_number#77, sr_return_quantity#78, sr_return_amt#79] +(61) Project [codegen id : 15] +Output [6]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71] +Input [9]: [ss_item_sk#62, ss_ticket_number#63, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_item_sk#68, sr_ticket_number#69, sr_return_quantity#70, sr_return_amt#71] -(64) ReusedExchange [Reuses operator id: 89] -Output [1]: [d_date_sk#81] +(62) ReusedExchange [Reuses operator id: 86] +Output [1]: [d_date_sk#73] -(65) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ss_sold_date_sk#75] -Right keys [1]: [d_date_sk#81] +(63) BroadcastHashJoin [codegen id : 15] +Left keys [1]: [ss_sold_date_sk#67] +Right keys [1]: [d_date_sk#73] Join type: Inner Join condition: None -(66) Project [codegen id : 17] -Output [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Input [7]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, ss_sold_date_sk#75, sr_return_quantity#78, sr_return_amt#79, d_date_sk#81] - -(67) HashAggregate [codegen id : 17] -Input [5]: [ss_item_sk#70, ss_quantity#72, ss_net_paid#73, sr_return_quantity#78, sr_return_amt#79] -Keys [1]: [ss_item_sk#70] -Functions [4]: [partial_sum(coalesce(sr_return_quantity#78, 0)), partial_sum(coalesce(ss_quantity#72, 0)), partial_sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [6]: [sum#82, sum#83, sum#84, isEmpty#85, sum#86, isEmpty#87] -Results [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(64) Project [codegen id : 15] +Output [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Input [7]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, ss_sold_date_sk#67, sr_return_quantity#70, sr_return_amt#71, d_date_sk#73] -(68) CometColumnarExchange -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Arguments: hashpartitioning(ss_item_sk#70, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(65) HashAggregate [codegen id : 15] +Input [5]: [ss_item_sk#62, ss_quantity#64, ss_net_paid#65, sr_return_quantity#70, sr_return_amt#71] +Keys [1]: [ss_item_sk#62] +Functions [4]: [partial_sum(coalesce(sr_return_quantity#70, 0)), partial_sum(coalesce(ss_quantity#64, 0)), partial_sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), partial_sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] +Aggregate Attributes [6]: [sum#74, sum#75, sum#76, isEmpty#77, sum#78, isEmpty#79] +Results [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] -(69) CometColumnarToRow [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +(66) CometColumnarExchange +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Arguments: hashpartitioning(ss_item_sk#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(70) HashAggregate [codegen id : 18] -Input [7]: [ss_item_sk#70, sum#88, sum#89, sum#90, isEmpty#91, sum#92, isEmpty#93] -Keys [1]: [ss_item_sk#70] -Functions [4]: [sum(coalesce(sr_return_quantity#78, 0)), sum(coalesce(ss_quantity#72, 0)), sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))] -Aggregate Attributes [4]: [sum(coalesce(sr_return_quantity#78, 0))#94, sum(coalesce(ss_quantity#72, 0))#95, sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96, sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97] -Results [3]: [ss_item_sk#70 AS item#98, (cast(sum(coalesce(sr_return_quantity#78, 0))#94 as decimal(15,4)) / cast(sum(coalesce(ss_quantity#72, 0))#95 as decimal(15,4))) AS return_ratio#99, (cast(sum(coalesce(cast(sr_return_amt#79 as decimal(12,2)), 0.00))#96 as decimal(15,4)) / cast(sum(coalesce(cast(ss_net_paid#73 as decimal(12,2)), 0.00))#97 as decimal(15,4))) AS currency_ratio#100] +(67) CometHashAggregate +Input [7]: [ss_item_sk#62, sum#80, sum#81, sum#82, isEmpty#83, sum#84, isEmpty#85] +Keys [1]: [ss_item_sk#62] +Functions [4]: [sum(coalesce(sr_return_quantity#70, 0)), sum(coalesce(ss_quantity#64, 0)), sum(coalesce(cast(sr_return_amt#71 as decimal(12,2)), 0.00)), sum(coalesce(cast(ss_net_paid#65 as decimal(12,2)), 0.00))] -(71) CometColumnarExchange -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(68) CometExchange +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(72) CometSort -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [item#98, return_ratio#99, currency_ratio#100], [return_ratio#99 ASC NULLS FIRST] +(69) CometSort +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [item#86, return_ratio#87, currency_ratio#88], [return_ratio#87 ASC NULLS FIRST] -(73) CometColumnarToRow [codegen id : 19] -Input [3]: [item#98, return_ratio#99, currency_ratio#100] +(70) CometColumnarToRow [codegen id : 16] +Input [3]: [item#86, return_ratio#87, currency_ratio#88] -(74) Window -Input [3]: [item#98, return_ratio#99, currency_ratio#100] -Arguments: [rank(return_ratio#99) windowspecdefinition(return_ratio#99 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#101], [return_ratio#99 ASC NULLS FIRST] +(71) Window +Input [3]: [item#86, return_ratio#87, currency_ratio#88] +Arguments: [rank(return_ratio#87) windowspecdefinition(return_ratio#87 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS return_rank#89], [return_ratio#87 ASC NULLS FIRST] -(75) Sort [codegen id : 20] -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [currency_ratio#100 ASC NULLS FIRST], false, 0 +(72) Sort [codegen id : 17] +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [currency_ratio#88 ASC NULLS FIRST], false, 0 -(76) Window -Input [4]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101] -Arguments: [rank(currency_ratio#100) windowspecdefinition(currency_ratio#100 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#102], [currency_ratio#100 ASC NULLS FIRST] +(73) Window +Input [4]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89] +Arguments: [rank(currency_ratio#88) windowspecdefinition(currency_ratio#88 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS currency_rank#90], [currency_ratio#88 ASC NULLS FIRST] -(77) Filter [codegen id : 21] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] -Condition : ((return_rank#101 <= 10) OR (currency_rank#102 <= 10)) +(74) Filter [codegen id : 18] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] +Condition : ((return_rank#89 <= 10) OR (currency_rank#90 <= 10)) -(78) Project [codegen id : 21] -Output [5]: [store AS channel#103, item#98, return_ratio#99, return_rank#101, currency_rank#102] -Input [5]: [item#98, return_ratio#99, currency_ratio#100, return_rank#101, currency_rank#102] +(75) Project [codegen id : 18] +Output [5]: [store AS channel#91, item#86, return_ratio#87, return_rank#89, currency_rank#90] +Input [5]: [item#86, return_ratio#87, currency_ratio#88, return_rank#89, currency_rank#90] -(79) Union +(76) Union -(80) HashAggregate [codegen id : 22] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(77) HashAggregate [codegen id : 19] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] Aggregate Attributes: [] -Results [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +Results [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(81) CometColumnarExchange -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: hashpartitioning(channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(78) CometColumnarExchange +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: hashpartitioning(channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] -(82) CometHashAggregate -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Keys [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(79) CometHashAggregate +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Keys [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] Functions: [] -(83) CometTakeOrderedAndProject -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#35 ASC NULLS FIRST,return_rank#33 ASC NULLS FIRST,currency_rank#34 ASC NULLS FIRST,item#30 ASC NULLS FIRST], output=[channel#35,item#30,return_ratio#31,return_rank#33,currency_rank#34]), [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34], 100, 0, [channel#35 ASC NULLS FIRST, return_rank#33 ASC NULLS FIRST, currency_rank#34 ASC NULLS FIRST, item#30 ASC NULLS FIRST], [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(80) CometTakeOrderedAndProject +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#31 ASC NULLS FIRST,return_rank#29 ASC NULLS FIRST,currency_rank#30 ASC NULLS FIRST,item#26 ASC NULLS FIRST], output=[channel#31,item#26,return_ratio#27,return_rank#29,currency_rank#30]), [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30], 100, 0, [channel#31 ASC NULLS FIRST, return_rank#29 ASC NULLS FIRST, currency_rank#30 ASC NULLS FIRST, item#26 ASC NULLS FIRST], [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] -(84) CometColumnarToRow [codegen id : 23] -Input [5]: [channel#35, item#30, return_ratio#31, return_rank#33, currency_rank#34] +(81) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#31, item#26, return_ratio#27, return_rank#29, currency_rank#30] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#6 IN dynamicpruning#7 -BroadcastExchange (89) -+- * CometColumnarToRow (88) - +- CometProject (87) - +- CometFilter (86) - +- CometNativeScan parquet spark_catalog.default.date_dim (85) +BroadcastExchange (86) ++- * CometColumnarToRow (85) + +- CometProject (84) + +- CometFilter (83) + +- CometNativeScan parquet spark_catalog.default.date_dim (82) -(85) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#13, d_year#104, d_moy#105] +(82) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#13, d_year#92, d_moy#93] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2001), EqualTo(d_moy,12), IsNotNull(d_date_sk)] ReadSchema: struct -(86) CometFilter -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] -Condition : ((((isnotnull(d_year#104) AND isnotnull(d_moy#105)) AND (d_year#104 = 2001)) AND (d_moy#105 = 12)) AND isnotnull(d_date_sk#13)) +(83) CometFilter +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] +Condition : ((((isnotnull(d_year#92) AND isnotnull(d_moy#93)) AND (d_year#92 = 2001)) AND (d_moy#93 = 12)) AND isnotnull(d_date_sk#13)) -(87) CometProject -Input [3]: [d_date_sk#13, d_year#104, d_moy#105] +(84) CometProject +Input [3]: [d_date_sk#13, d_year#92, d_moy#93] Arguments: [d_date_sk#13], [d_date_sk#13] -(88) CometColumnarToRow [codegen id : 1] +(85) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#13] -(89) BroadcastExchange +(86) BroadcastExchange Input [1]: [d_date_sk#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] -Subquery:2 Hosting operator id = 27 Hosting Expression = cs_sold_date_sk#41 IN dynamicpruning#7 +Subquery:2 Hosting operator id = 26 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#7 -Subquery:3 Hosting operator id = 53 Hosting Expression = ss_sold_date_sk#75 IN dynamicpruning#7 +Subquery:3 Hosting operator id = 51 Hosting Expression = ss_sold_date_sk#67 IN dynamicpruning#7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/extended.txt index 6c4ded1515..1597a11a41 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/extended.txt @@ -11,35 +11,34 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim :- Project : +- Filter : +- Window @@ -47,30 +46,29 @@ CometColumnarToRow : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_returns - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_returns + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- Project +- Filter +- Window @@ -78,29 +76,28 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastExchange - : : +- Project - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store_returns - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- BroadcastExchange + : : +- Project + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store_returns + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 33 out of 87 eligible operators (37%). Final plan contains 17 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 36 out of 87 eligible operators (41%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/simplified.txt index 047269434d..a09a01e9ff 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q49.native_datafusion/simplified.txt @@ -1,140 +1,131 @@ -WholeStageCodegen (23) +WholeStageCodegen (20) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,item,return_ratio,return_rank,currency_rank] CometHashAggregate [channel,item,return_ratio,return_rank,currency_rank] CometColumnarExchange [channel,item,return_ratio,return_rank,currency_rank] #1 - WholeStageCodegen (22) + WholeStageCodegen (19) HashAggregate [channel,item,return_ratio,return_rank,currency_rank] InputAdapter Union - WholeStageCodegen (7) + WholeStageCodegen (6) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (6) + WholeStageCodegen (5) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #2 - WholeStageCodegen (4) - HashAggregate [ws_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk] #3 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] - BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (1) - Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] - Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] - CometColumnarToRow - InputAdapter - CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] - CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometExchange #2 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ws_item_sk,sum(coalesce(wr_return_quantity, 0)),sum(coalesce(ws_quantity, 0)),sum(coalesce(cast(wr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ws_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ws_item_sk] #3 + WholeStageCodegen (3) + HashAggregate [ws_item_sk,wr_return_quantity,ws_quantity,wr_return_amt,ws_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ws_item_sk,ws_quantity,ws_net_paid,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [ws_item_sk,ws_quantity,ws_net_paid,ws_sold_date_sk,wr_return_quantity,wr_return_amt] + BroadcastHashJoin [ws_order_number,ws_item_sk,wr_order_number,wr_item_sk] + InputAdapter + BroadcastExchange #4 + WholeStageCodegen (1) + Project [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_sold_date_sk] + Filter [ws_net_profit,ws_net_paid,ws_quantity,ws_order_number,ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_order_number,ws_quantity,ws_net_paid,ws_net_profit,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (14) + CometProject [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt] + CometFilter [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_quantity,wr_return_amt,wr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (12) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (13) + WholeStageCodegen (11) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (12) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #6 - WholeStageCodegen (11) - HashAggregate [cs_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [cs_item_sk] #7 - WholeStageCodegen (10) - HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] - BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (8) - Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] - Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] - CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometExchange #6 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,cs_item_sk,sum(coalesce(cr_return_quantity, 0)),sum(coalesce(cs_quantity, 0)),sum(coalesce(cast(cr_return_amount as decimal(12,2)), 0.00)),sum(coalesce(cast(cs_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [cs_item_sk] #7 + WholeStageCodegen (9) + HashAggregate [cs_item_sk,cr_return_quantity,cs_quantity,cr_return_amount,cs_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [cs_item_sk,cs_quantity,cs_net_paid,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [cs_item_sk,cs_quantity,cs_net_paid,cs_sold_date_sk,cr_return_quantity,cr_return_amount] + BroadcastHashJoin [cs_order_number,cs_item_sk,cr_order_number,cr_item_sk] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (7) + Project [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_sold_date_sk] + Filter [cs_net_profit,cs_net_paid,cs_quantity,cs_order_number,cs_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_item_sk,cs_order_number,cs_quantity,cs_net_paid,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (21) + CometProject [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount] + CometFilter [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.catalog_returns [cr_item_sk,cr_order_number,cr_return_quantity,cr_return_amount,cr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (18) Project [item,return_ratio,return_rank,currency_rank] Filter [return_rank,currency_rank] InputAdapter Window [currency_ratio] - WholeStageCodegen (20) + WholeStageCodegen (17) Sort [currency_ratio] InputAdapter Window [return_ratio] - WholeStageCodegen (19) + WholeStageCodegen (16) CometColumnarToRow InputAdapter CometSort [item,return_ratio,currency_ratio] - CometColumnarExchange #9 - WholeStageCodegen (18) - HashAggregate [ss_item_sk,sum,sum,sum,isEmpty,sum,isEmpty] [sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00)),item,return_ratio,currency_ratio,sum,sum,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (17) - HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] - Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] - BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] - Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] - CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] - CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometExchange #9 + CometHashAggregate [sum,sum,sum,isEmpty,sum,isEmpty] [item,return_ratio,currency_ratio,ss_item_sk,sum(coalesce(sr_return_quantity, 0)),sum(coalesce(ss_quantity, 0)),sum(coalesce(cast(sr_return_amt as decimal(12,2)), 0.00)),sum(coalesce(cast(ss_net_paid as decimal(12,2)), 0.00))] + CometColumnarExchange [ss_item_sk] #10 + WholeStageCodegen (15) + HashAggregate [ss_item_sk,sr_return_quantity,ss_quantity,sr_return_amt,ss_net_paid] [sum,sum,sum,isEmpty,sum,isEmpty,sum,sum,sum,isEmpty,sum,isEmpty] + Project [ss_item_sk,ss_quantity,ss_net_paid,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_item_sk,ss_quantity,ss_net_paid,ss_sold_date_sk,sr_return_quantity,sr_return_amt] + BroadcastHashJoin [ss_ticket_number,ss_item_sk,sr_ticket_number,sr_item_sk] + InputAdapter + BroadcastExchange #11 + WholeStageCodegen (13) + Project [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_sold_date_sk] + Filter [ss_net_profit,ss_net_paid,ss_quantity,ss_ticket_number,ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ticket_number,ss_quantity,ss_net_paid,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #5 + CometProject [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt] + CometFilter [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + CometNativeScan parquet spark_catalog.default.store_returns [sr_item_sk,sr_ticket_number,sr_return_quantity,sr_return_amt,sr_returned_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/explain.txt index 35eddeb2fd..0da1a32b93 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/explain.txt @@ -1,81 +1,77 @@ == Physical Plan == -TakeOrderedAndProject (77) -+- * Filter (76) - +- * HashAggregate (75) - +- * HashAggregate (74) - +- * Project (73) - +- * BroadcastHashJoin Inner BuildRight (72) - :- Window (65) - : +- * CometColumnarToRow (64) - : +- CometSort (63) - : +- CometExchange (62) - : +- CometProject (61) - : +- CometFilter (60) - : +- CometSortMergeJoin (59) - : :- CometSort (29) - : : +- CometColumnarExchange (28) - : : +- * HashAggregate (27) - : : +- * CometColumnarToRow (26) - : : +- CometColumnarExchange (25) - : : +- * HashAggregate (24) - : : +- * Project (23) - : : +- * BroadcastHashJoin Inner BuildRight (22) - : : :- * Project (15) - : : : +- Window (14) - : : : +- * CometColumnarToRow (13) - : : : +- CometSort (12) - : : : +- CometColumnarExchange (11) - : : : +- * HashAggregate (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometColumnarExchange (8) - : : : +- * HashAggregate (7) - : : : +- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (21) - : : +- * Project (20) - : : +- Window (19) - : : +- * CometColumnarToRow (18) - : : +- CometSort (17) - : : +- ReusedExchange (16) - : +- CometSort (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * CometColumnarToRow (55) - : +- CometColumnarExchange (54) - : +- * HashAggregate (53) - : +- * Project (52) - : +- * BroadcastHashJoin Inner BuildRight (51) - : :- * Project (44) - : : +- Window (43) - : : +- * CometColumnarToRow (42) - : : +- CometSort (41) - : : +- CometColumnarExchange (40) - : : +- * HashAggregate (39) - : : +- * CometColumnarToRow (38) - : : +- CometColumnarExchange (37) - : : +- * HashAggregate (36) - : : +- * Project (35) - : : +- * BroadcastHashJoin Inner BuildRight (34) - : : :- * Filter (32) - : : : +- * ColumnarToRow (31) - : : : +- Scan parquet spark_catalog.default.store_sales (30) - : : +- ReusedExchange (33) - : +- BroadcastExchange (50) - : +- * Project (49) - : +- Window (48) - : +- * CometColumnarToRow (47) - : +- CometSort (46) - : +- ReusedExchange (45) - +- BroadcastExchange (71) - +- * Project (70) - +- Window (69) - +- * CometColumnarToRow (68) - +- CometSort (67) - +- ReusedExchange (66) +TakeOrderedAndProject (73) ++- * Filter (72) + +- * HashAggregate (71) + +- * HashAggregate (70) + +- * Project (69) + +- * BroadcastHashJoin Inner BuildRight (68) + :- Window (61) + : +- * CometColumnarToRow (60) + : +- CometSort (59) + : +- CometExchange (58) + : +- CometProject (57) + : +- CometFilter (56) + : +- CometSortMergeJoin (55) + : :- CometSort (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometColumnarExchange (24) + : : +- * HashAggregate (23) + : : +- * Project (22) + : : +- * BroadcastHashJoin Inner BuildRight (21) + : : :- * Project (14) + : : : +- Window (13) + : : : +- * CometColumnarToRow (12) + : : : +- CometSort (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometColumnarExchange (8) + : : : +- * HashAggregate (7) + : : : +- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (20) + : : +- * Project (19) + : : +- Window (18) + : : +- * CometColumnarToRow (17) + : : +- CometSort (16) + : : +- ReusedExchange (15) + : +- CometSort (54) + : +- CometExchange (53) + : +- CometHashAggregate (52) + : +- CometColumnarExchange (51) + : +- * HashAggregate (50) + : +- * Project (49) + : +- * BroadcastHashJoin Inner BuildRight (48) + : :- * Project (41) + : : +- Window (40) + : : +- * CometColumnarToRow (39) + : : +- CometSort (38) + : : +- CometExchange (37) + : : +- CometHashAggregate (36) + : : +- CometColumnarExchange (35) + : : +- * HashAggregate (34) + : : +- * Project (33) + : : +- * BroadcastHashJoin Inner BuildRight (32) + : : :- * Filter (30) + : : : +- * ColumnarToRow (29) + : : : +- Scan parquet spark_catalog.default.store_sales (28) + : : +- ReusedExchange (31) + : +- BroadcastExchange (47) + : +- * Project (46) + : +- Window (45) + : +- * CometColumnarToRow (44) + : +- CometSort (43) + : +- ReusedExchange (42) + +- BroadcastExchange (67) + +- * Project (66) + +- Window (65) + +- * CometColumnarToRow (64) + +- CometSort (63) + +- ReusedExchange (62) (1) Scan parquet spark_catalog.default.web_sales @@ -93,7 +89,7 @@ Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_sales_price#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 82] +(4) ReusedExchange [Reuses operator id: 78] Output [2]: [d_date_sk#5, d_date#6] (5) BroadcastHashJoin [codegen id : 2] @@ -117,339 +113,319 @@ Results [3]: [ws_item_sk#1, d_date#6, sum#8] Input [3]: [ws_item_sk#1, d_date#6, sum#8] Arguments: hashpartitioning(ws_item_sk#1, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=1] -(9) CometColumnarToRow [codegen id : 3] -Input [3]: [ws_item_sk#1, d_date#6, sum#8] - -(10) HashAggregate [codegen id : 3] +(9) CometHashAggregate Input [3]: [ws_item_sk#1, d_date#6, sum#8] Keys [2]: [ws_item_sk#1, d_date#6] Functions [1]: [sum(UnscaledValue(ws_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_sales_price#2))#9] -Results [4]: [ws_item_sk#1 AS item_sk#10, d_date#6, MakeDecimal(sum(UnscaledValue(ws_sales_price#2))#9,17,2) AS sumws#11, ws_item_sk#1] -(11) CometColumnarExchange -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] +(10) CometExchange +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: hashpartitioning(ws_item_sk#1, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=2] -(12) CometSort -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(11) CometSort +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1], [ws_item_sk#1 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(13) CometColumnarToRow [codegen id : 4] -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] +(12) CometColumnarToRow [codegen id : 3] +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] -(14) Window -Input [4]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1] -Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#12], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] +(13) Window +Input [4]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1] +Arguments: [row_number() windowspecdefinition(ws_item_sk#1, d_date#6 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#11], [ws_item_sk#1], [d_date#6 ASC NULLS FIRST] -(15) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, rk#12] -Input [5]: [item_sk#10, d_date#6, sumws#11, ws_item_sk#1, rk#12] +(14) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, rk#11] +Input [5]: [item_sk#9, d_date#6, sumws#10, ws_item_sk#1, rk#11] -(16) ReusedExchange [Reuses operator id: 11] -Output [4]: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16] +(15) ReusedExchange [Reuses operator id: 10] +Output [4]: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15] -(17) CometSort -Input [4]: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16] -Arguments: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16], [ws_item_sk#16 ASC NULLS FIRST, d_date#14 ASC NULLS FIRST] +(16) CometSort +Input [4]: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15] +Arguments: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15], [ws_item_sk#15 ASC NULLS FIRST, d_date#13 ASC NULLS FIRST] -(18) CometColumnarToRow [codegen id : 8] -Input [4]: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16] +(17) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15] -(19) Window -Input [4]: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16] -Arguments: [row_number() windowspecdefinition(ws_item_sk#16, d_date#14 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#17], [ws_item_sk#16], [d_date#14 ASC NULLS FIRST] +(18) Window +Input [4]: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15] +Arguments: [row_number() windowspecdefinition(ws_item_sk#15, d_date#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#16], [ws_item_sk#15], [d_date#13 ASC NULLS FIRST] -(20) Project [codegen id : 9] -Output [3]: [item_sk#13, sumws#15, rk#17] -Input [5]: [item_sk#13, d_date#14, sumws#15, ws_item_sk#16, rk#17] +(19) Project [codegen id : 7] +Output [3]: [item_sk#12, sumws#14, rk#16] +Input [5]: [item_sk#12, d_date#13, sumws#14, ws_item_sk#15, rk#16] -(21) BroadcastExchange -Input [3]: [item_sk#13, sumws#15, rk#17] +(20) BroadcastExchange +Input [3]: [item_sk#12, sumws#14, rk#16] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(22) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [item_sk#10] -Right keys [1]: [item_sk#13] +(21) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#9] +Right keys [1]: [item_sk#12] Join type: Inner -Join condition: (rk#12 >= rk#17) - -(23) Project [codegen id : 10] -Output [4]: [item_sk#10, d_date#6, sumws#11, sumws#15] -Input [7]: [item_sk#10, d_date#6, sumws#11, rk#12, item_sk#13, sumws#15, rk#17] - -(24) HashAggregate [codegen id : 10] -Input [4]: [item_sk#10, d_date#6, sumws#11, sumws#15] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [partial_sum(sumws#15)] -Aggregate Attributes [2]: [sum#18, isEmpty#19] -Results [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(25) CometColumnarExchange -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Arguments: hashpartitioning(item_sk#10, d_date#6, sumws#11, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(26) CometColumnarToRow [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] - -(27) HashAggregate [codegen id : 11] -Input [5]: [item_sk#10, d_date#6, sumws#11, sum#20, isEmpty#21] -Keys [3]: [item_sk#10, d_date#6, sumws#11] -Functions [1]: [sum(sumws#15)] -Aggregate Attributes [1]: [sum(sumws#15)#22] -Results [3]: [item_sk#10, d_date#6, sum(sumws#15)#22 AS cume_sales#23] - -(28) CometColumnarExchange -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: hashpartitioning(item_sk#10, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(29) CometSort -Input [3]: [item_sk#10, d_date#6, cume_sales#23] -Arguments: [item_sk#10, d_date#6, cume_sales#23], [item_sk#10 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] - -(30) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +Join condition: (rk#11 >= rk#16) + +(22) Project [codegen id : 8] +Output [4]: [item_sk#9, d_date#6, sumws#10, sumws#14] +Input [7]: [item_sk#9, d_date#6, sumws#10, rk#11, item_sk#12, sumws#14, rk#16] + +(23) HashAggregate [codegen id : 8] +Input [4]: [item_sk#9, d_date#6, sumws#10, sumws#14] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [partial_sum(sumws#14)] +Aggregate Attributes [2]: [sum#17, isEmpty#18] +Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] + +(24) CometColumnarExchange +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(25) CometHashAggregate +Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] +Keys [3]: [item_sk#9, d_date#6, sumws#10] +Functions [1]: [sum(sumws#14)] + +(26) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(27) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] + +(28) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#26), dynamicpruningexpression(ss_sold_date_sk#26 IN dynamicpruning#4)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#4)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(31) ColumnarToRow [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] +(29) ColumnarToRow [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] -(32) Filter [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26] -Condition : isnotnull(ss_item_sk#24) +(30) Filter [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 82] -Output [2]: [d_date_sk#27, d_date#28] +(31) ReusedExchange [Reuses operator id: 78] +Output [2]: [d_date_sk#25, d_date#26] -(34) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [ss_sold_date_sk#26] -Right keys [1]: [d_date_sk#27] +(32) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [ss_sold_date_sk#24] +Right keys [1]: [d_date_sk#25] Join type: Inner Join condition: None -(35) Project [codegen id : 13] -Output [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Input [5]: [ss_item_sk#24, ss_sales_price#25, ss_sold_date_sk#26, d_date_sk#27, d_date#28] - -(36) HashAggregate [codegen id : 13] -Input [3]: [ss_item_sk#24, ss_sales_price#25, d_date#28] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum#29] -Results [3]: [ss_item_sk#24, d_date#28, sum#30] +(33) Project [codegen id : 10] +Output [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#25, d_date#26] -(37) CometColumnarExchange -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Arguments: hashpartitioning(ss_item_sk#24, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +(34) HashAggregate [codegen id : 10] +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#26] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] +Aggregate Attributes [1]: [sum#27] +Results [3]: [ss_item_sk#22, d_date#26, sum#28] -(38) CometColumnarToRow [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] +(35) CometColumnarExchange +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#26, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(39) HashAggregate [codegen id : 14] -Input [3]: [ss_item_sk#24, d_date#28, sum#30] -Keys [2]: [ss_item_sk#24, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#25))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_sales_price#25))#31] -Results [4]: [ss_item_sk#24 AS item_sk#32, d_date#28, MakeDecimal(sum(UnscaledValue(ss_sales_price#25))#31,17,2) AS sumss#33, ss_item_sk#24] +(36) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#26, sum#28] +Keys [2]: [ss_item_sk#22, d_date#26] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(40) CometColumnarExchange -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: hashpartitioning(ss_item_sk#24, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(37) CometExchange +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(41) CometSort -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24], [ss_item_sk#24 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(38) CometSort +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] -(42) CometColumnarToRow [codegen id : 15] -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] +(39) CometColumnarToRow [codegen id : 11] +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] -(43) Window -Input [4]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24] -Arguments: [row_number() windowspecdefinition(ss_item_sk#24, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#34], [ss_item_sk#24], [d_date#28 ASC NULLS FIRST] +(40) Window +Input [4]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#26 ASC NULLS FIRST] -(44) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, rk#34] -Input [5]: [item_sk#32, d_date#28, sumss#33, ss_item_sk#24, rk#34] +(41) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#26, sumss#30, ss_item_sk#22, rk#31] -(45) ReusedExchange [Reuses operator id: 40] -Output [4]: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38] +(42) ReusedExchange [Reuses operator id: 37] +Output [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(46) CometSort -Input [4]: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38] -Arguments: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38], [ss_item_sk#38 ASC NULLS FIRST, d_date#36 ASC NULLS FIRST] +(43) CometSort +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35], [ss_item_sk#35 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] -(47) CometColumnarToRow [codegen id : 19] -Input [4]: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38] +(44) CometColumnarToRow [codegen id : 14] +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(48) Window -Input [4]: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38] -Arguments: [row_number() windowspecdefinition(ss_item_sk#38, d_date#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#39], [ss_item_sk#38], [d_date#36 ASC NULLS FIRST] +(45) Window +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [row_number() windowspecdefinition(ss_item_sk#35, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#36], [ss_item_sk#35], [d_date#33 ASC NULLS FIRST] -(49) Project [codegen id : 20] -Output [3]: [item_sk#35, sumss#37, rk#39] -Input [5]: [item_sk#35, d_date#36, sumss#37, ss_item_sk#38, rk#39] +(46) Project [codegen id : 15] +Output [3]: [item_sk#32, sumss#34, rk#36] +Input [5]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35, rk#36] -(50) BroadcastExchange -Input [3]: [item_sk#35, sumss#37, rk#39] +(47) BroadcastExchange +Input [3]: [item_sk#32, sumss#34, rk#36] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(51) BroadcastHashJoin [codegen id : 21] -Left keys [1]: [item_sk#32] -Right keys [1]: [item_sk#35] +(48) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#32] Join type: Inner -Join condition: (rk#34 >= rk#39) - -(52) Project [codegen id : 21] -Output [4]: [item_sk#32, d_date#28, sumss#33, sumss#37] -Input [7]: [item_sk#32, d_date#28, sumss#33, rk#34, item_sk#35, sumss#37, rk#39] - -(53) HashAggregate [codegen id : 21] -Input [4]: [item_sk#32, d_date#28, sumss#33, sumss#37] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [partial_sum(sumss#37)] -Aggregate Attributes [2]: [sum#40, isEmpty#41] -Results [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(54) CometColumnarExchange -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Arguments: hashpartitioning(item_sk#32, d_date#28, sumss#33, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(55) CometColumnarToRow [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] - -(56) HashAggregate [codegen id : 22] -Input [5]: [item_sk#32, d_date#28, sumss#33, sum#42, isEmpty#43] -Keys [3]: [item_sk#32, d_date#28, sumss#33] -Functions [1]: [sum(sumss#37)] -Aggregate Attributes [1]: [sum(sumss#37)#44] -Results [3]: [item_sk#32, d_date#28, sum(sumss#37)#44 AS cume_sales#45] - -(57) CometColumnarExchange -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: hashpartitioning(item_sk#32, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(58) CometSort -Input [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#32, d_date#28, cume_sales#45], [item_sk#32 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] - -(59) CometSortMergeJoin -Left output [3]: [item_sk#10, d_date#6, cume_sales#23] -Right output [3]: [item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#10, d_date#6], [item_sk#32, d_date#28], FullOuter - -(60) CometFilter -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END) - -(61) CometProject -Input [6]: [item_sk#10, d_date#6, cume_sales#23, item_sk#32, d_date#28, cume_sales#45] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [CASE WHEN isnotnull(item_sk#10) THEN item_sk#10 ELSE item_sk#32 END AS item_sk#46, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#47, cume_sales#23 AS web_sales#48, cume_sales#45 AS store_sales#49] - -(62) CometExchange -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: hashpartitioning(item_sk#46, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +Join condition: (rk#31 >= rk#36) -(63) CometSort -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [item_sk#46, d_date#47, web_sales#48, store_sales#49], [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST] +(49) Project [codegen id : 16] +Output [4]: [item_sk#29, d_date#26, sumss#30, sumss#34] +Input [7]: [item_sk#29, d_date#26, sumss#30, rk#31, item_sk#32, sumss#34, rk#36] -(64) CometColumnarToRow [codegen id : 23] -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] +(50) HashAggregate [codegen id : 16] +Input [4]: [item_sk#29, d_date#26, sumss#30, sumss#34] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [partial_sum(sumss#34)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] -(65) Window -Input [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Arguments: [row_number() windowspecdefinition(item_sk#46, d_date#47 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#50], [item_sk#46], [d_date#47 ASC NULLS FIRST] +(51) CometColumnarExchange +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#26, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(52) CometHashAggregate +Input [5]: [item_sk#29, d_date#26, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#26, sumss#30] +Functions [1]: [sum(sumss#34)] + +(53) CometExchange +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#26, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] + +(54) CometSort +Input [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#29, d_date#26, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#26 ASC NULLS FIRST] + +(55) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#26], FullOuter -(66) ReusedExchange [Reuses operator id: 62] -Output [4]: [item_sk#51, d_date#52, web_sales#53, store_sales#54] +(56) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(67) CometSort -Input [4]: [item_sk#51, d_date#52, web_sales#53, store_sales#54] -Arguments: [item_sk#51, d_date#52, web_sales#53, store_sales#54], [item_sk#51 ASC NULLS FIRST, d_date#52 ASC NULLS FIRST] +(57) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#26, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#26 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(68) CometColumnarToRow [codegen id : 46] -Input [4]: [item_sk#51, d_date#52, web_sales#53, store_sales#54] +(58) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(69) Window -Input [4]: [item_sk#51, d_date#52, web_sales#53, store_sales#54] -Arguments: [row_number() windowspecdefinition(item_sk#51, d_date#52 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#55], [item_sk#51], [d_date#52 ASC NULLS FIRST] +(59) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] + +(60) CometColumnarToRow [codegen id : 17] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] + +(61) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] + +(62) ReusedExchange [Reuses operator id: 58] +Output [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] + +(63) CometSort +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [item_sk#47, d_date#48, web_sales#49, store_sales#50], [item_sk#47 ASC NULLS FIRST, d_date#48 ASC NULLS FIRST] + +(64) CometColumnarToRow [codegen id : 34] +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] + +(65) Window +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [row_number() windowspecdefinition(item_sk#47, d_date#48 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#51], [item_sk#47], [d_date#48 ASC NULLS FIRST] -(70) Project [codegen id : 47] -Output [4]: [item_sk#51, web_sales#53, store_sales#54, rk#55] -Input [5]: [item_sk#51, d_date#52, web_sales#53, store_sales#54, rk#55] +(66) Project [codegen id : 35] +Output [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] +Input [5]: [item_sk#47, d_date#48, web_sales#49, store_sales#50, rk#51] -(71) BroadcastExchange -Input [4]: [item_sk#51, web_sales#53, store_sales#54, rk#55] +(67) BroadcastExchange +Input [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(72) BroadcastHashJoin [codegen id : 48] -Left keys [1]: [item_sk#46] -Right keys [1]: [item_sk#51] +(68) BroadcastHashJoin [codegen id : 36] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#47] Join type: Inner -Join condition: (rk#50 >= rk#55) - -(73) Project [codegen id : 48] -Output [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Input [9]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, rk#50, item_sk#51, web_sales#53, store_sales#54, rk#55] - -(74) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_sales#53, store_sales#54] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [partial_max(web_sales#53), partial_max(store_sales#54)] -Aggregate Attributes [2]: [max#56, max#57] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#58, max#59] - -(75) HashAggregate [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max#58, max#59] -Keys [4]: [item_sk#46, d_date#47, web_sales#48, store_sales#49] -Functions [2]: [max(web_sales#53), max(store_sales#54)] -Aggregate Attributes [2]: [max(web_sales#53)#60, max(store_sales#54)#61] -Results [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, max(web_sales#53)#60 AS web_cumulative#62, max(store_sales#54)#61 AS store_cumulative#63] - -(76) Filter [codegen id : 48] -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#62, store_cumulative#63] -Condition : ((isnotnull(web_cumulative#62) AND isnotnull(store_cumulative#63)) AND (web_cumulative#62 > store_cumulative#63)) - -(77) TakeOrderedAndProject -Input [6]: [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#62, store_cumulative#63] -Arguments: 100, [item_sk#46 ASC NULLS FIRST, d_date#47 ASC NULLS FIRST], [item_sk#46, d_date#47, web_sales#48, store_sales#49, web_cumulative#62, store_cumulative#63] +Join condition: (rk#46 >= rk#51) + +(69) Project [codegen id : 36] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#47, web_sales#49, store_sales#50, rk#51] + +(70) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#52, max#53] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] + +(71) HashAggregate [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#56, max(store_sales#50)#57] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#56 AS web_cumulative#58, max(store_sales#50)#57 AS store_cumulative#59] + +(72) Filter [codegen id : 36] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Condition : ((isnotnull(web_cumulative#58) AND isnotnull(store_cumulative#59)) AND (web_cumulative#58 > store_cumulative#59)) + +(73) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (82) -+- * CometColumnarToRow (81) - +- CometProject (80) - +- CometFilter (79) - +- CometNativeScan parquet spark_catalog.default.date_dim (78) +BroadcastExchange (78) ++- * CometColumnarToRow (77) + +- CometProject (76) + +- CometFilter (75) + +- CometNativeScan parquet spark_catalog.default.date_dim (74) -(78) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_date_sk#5, d_date#6, d_month_seq#64] +(74) CometNativeScan parquet spark_catalog.default.date_dim +Output [3]: [d_date_sk#5, d_date#6, d_month_seq#60] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(79) CometFilter -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#64] -Condition : (((isnotnull(d_month_seq#64) AND (d_month_seq#64 >= 1212)) AND (d_month_seq#64 <= 1223)) AND isnotnull(d_date_sk#5)) +(75) CometFilter +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#60] +Condition : (((isnotnull(d_month_seq#60) AND (d_month_seq#60 >= 1212)) AND (d_month_seq#60 <= 1223)) AND isnotnull(d_date_sk#5)) -(80) CometProject -Input [3]: [d_date_sk#5, d_date#6, d_month_seq#64] +(76) CometProject +Input [3]: [d_date_sk#5, d_date#6, d_month_seq#60] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(81) CometColumnarToRow [codegen id : 1] +(77) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(82) BroadcastExchange +(78) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#26 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 28 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/extended.txt index 8eb3f067e2..ca5a28b519 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/extended.txt @@ -12,113 +12,107 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -129,112 +123,106 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Filter - : +- ColumnarToRow - : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : +- ReusedSubquery - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Filter + : +- ColumnarToRow + : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : +- ReusedSubquery + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 82 out of 196 eligible operators (41%). Final plan contains 42 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 94 out of 196 eligible operators (47%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/simplified.txt index 00cd0a509c..fdfacd9e58 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (48) + WholeStageCodegen (36) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (23) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,111 +16,99 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (11) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometColumnarExchange [ws_item_sk,d_date] #5 + WholeStageCodegen (2) + HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] + Project [ws_item_sk,ws_sales_price,d_date] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (7) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (4) + WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometColumnarExchange [ws_item_sk] #4 - WholeStageCodegen (3) - HashAggregate [ws_item_sk,d_date,sum] [sum(UnscaledValue(ws_sales_price)),item_sk,sumws,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ws_item_sk,d_date] #5 - WholeStageCodegen (2) - HashAggregate [ws_item_sk,d_date,ws_sales_price] [sum,sum] - Project [ws_item_sk,ws_sales_price,d_date] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (9) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (8) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #8 - WholeStageCodegen (22) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #9 - WholeStageCodegen (21) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #8 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #9 + WholeStageCodegen (16) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (11) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #10 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometColumnarExchange [ss_item_sk,d_date] #11 + WholeStageCodegen (10) + HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] + Project [ss_item_sk,ss_sales_price,d_date] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_date] #6 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] - WholeStageCodegen (15) + WholeStageCodegen (14) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometColumnarExchange [ss_item_sk] #10 - WholeStageCodegen (14) - HashAggregate [ss_item_sk,d_date,sum] [sum(UnscaledValue(ss_sales_price)),item_sk,sumss,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [ss_item_sk,d_date] #11 - WholeStageCodegen (13) - HashAggregate [ss_item_sk,d_date,ss_sales_price] [sum,sum] - Project [ss_item_sk,ss_sales_price,d_date] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk,d_date] #6 - InputAdapter - BroadcastExchange #12 - WholeStageCodegen (20) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (19) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #10 InputAdapter BroadcastExchange #13 - WholeStageCodegen (47) + WholeStageCodegen (35) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (46) + WholeStageCodegen (34) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/explain.txt index 2cd07a9fb7..71a169b069 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#14)] -Aggregate Attributes [1]: [sum(sumws#14)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#14)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(45) CometSort -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] -Arguments: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36], [ss_item_sk#36 ASC NULLS FIRST, d_date#34 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35], [ss_item_sk#35 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(47) Window -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] -Arguments: [row_number() windowspecdefinition(ss_item_sk#36, d_date#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [ss_item_sk#36], [d_date#34 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [row_number() windowspecdefinition(ss_item_sk#35, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#36], [ss_item_sk#35], [d_date#33 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#33, sumss#35, rk#37] -Input [5]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36, rk#37] +(47) Project [codegen id : 7] +Output [3]: [item_sk#32, sumss#34, rk#36] +Input [5]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35, rk#36] -(49) BroadcastExchange -Input [3]: [item_sk#33, sumss#35, rk#37] +(48) BroadcastExchange +Input [3]: [item_sk#32, sumss#34, rk#36] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#33] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#32] Join type: Inner -Join condition: (rk#32 >= rk#37) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#35] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#33, sumss#35, rk#37] +Join condition: (rk#31 >= rk#36) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#35] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#35)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#34] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#32, sumss#34, rk#36] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#34] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#34)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#35)] -Aggregate Attributes [1]: [sum(sumss#35)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#35)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#34)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] -(66) CometSort -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] -Arguments: [item_sk#49, d_date#50, web_sales#51, store_sales#52], [item_sk#49 ASC NULLS FIRST, d_date#50 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [item_sk#47, d_date#48, web_sales#49, store_sales#50], [item_sk#47 ASC NULLS FIRST, d_date#48 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] -(68) Window -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] -Arguments: [row_number() windowspecdefinition(item_sk#49, d_date#50 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#53], [item_sk#49], [d_date#50 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [row_number() windowspecdefinition(item_sk#47, d_date#48 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#51], [item_sk#47], [d_date#48 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#49, web_sales#51, store_sales#52, rk#53] -Input [5]: [item_sk#49, d_date#50, web_sales#51, store_sales#52, rk#53] +(67) Project [codegen id : 19] +Output [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] +Input [5]: [item_sk#47, d_date#48, web_sales#49, store_sales#50, rk#51] -(70) BroadcastExchange -Input [4]: [item_sk#49, web_sales#51, store_sales#52, rk#53] +(68) BroadcastExchange +Input [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#49] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#47] Join type: Inner -Join condition: (rk#48 >= rk#53) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#49, web_sales#51, store_sales#52, rk#53] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#54, max#55] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#56, max#57] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#56, max#57] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#58, max(store_sales#52)#59] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#58 AS web_cumulative#60, max(store_sales#52)#59 AS store_cumulative#61] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] -Condition : ((isnotnull(web_cumulative#60) AND isnotnull(store_cumulative#61)) AND (web_cumulative#60 > store_cumulative#61)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] +Join condition: (rk#46 >= rk#51) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#47, web_sales#49, store_sales#50, rk#51] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#52, max#53] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#56, max(store_sales#50)#57] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#56 AS web_cumulative#58, max(store_sales#50)#57 AS store_cumulative#59] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Condition : ((isnotnull(web_cumulative#58) AND isnotnull(store_cumulative#59)) AND (web_cumulative#58 > store_cumulative#59)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a.native_iceberg_compat/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/explain.txt index 2cd07a9fb7..71a169b069 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/explain.txt @@ -1,80 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (76) -+- * Filter (75) - +- * HashAggregate (74) - +- * HashAggregate (73) - +- * Project (72) - +- * BroadcastHashJoin Inner BuildRight (71) - :- Window (64) - : +- * CometColumnarToRow (63) - : +- CometSort (62) - : +- CometExchange (61) - : +- CometProject (60) - : +- CometFilter (59) - : +- CometSortMergeJoin (58) - : :- CometSort (30) - : : +- CometColumnarExchange (29) - : : +- * HashAggregate (28) - : : +- * CometColumnarToRow (27) - : : +- CometColumnarExchange (26) - : : +- * HashAggregate (25) - : : +- * Project (24) - : : +- * BroadcastHashJoin Inner BuildRight (23) - : : :- * Project (16) - : : : +- Window (15) - : : : +- * CometColumnarToRow (14) - : : : +- CometSort (13) - : : : +- CometExchange (12) - : : : +- CometHashAggregate (11) - : : : +- CometExchange (10) - : : : +- CometHashAggregate (9) - : : : +- CometProject (8) - : : : +- CometBroadcastHashJoin (7) - : : : :- CometFilter (2) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) - : : : +- CometBroadcastExchange (6) - : : : +- CometProject (5) - : : : +- CometFilter (4) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : +- BroadcastExchange (22) - : : +- * Project (21) - : : +- Window (20) - : : +- * CometColumnarToRow (19) - : : +- CometSort (18) - : : +- ReusedExchange (17) - : +- CometSort (57) - : +- CometColumnarExchange (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- CometColumnarExchange (53) - : +- * HashAggregate (52) - : +- * Project (51) - : +- * BroadcastHashJoin Inner BuildRight (50) - : :- * Project (43) - : : +- Window (42) - : : +- * CometColumnarToRow (41) - : : +- CometSort (40) - : : +- CometExchange (39) - : : +- CometHashAggregate (38) - : : +- CometExchange (37) - : : +- CometHashAggregate (36) - : : +- CometProject (35) - : : +- CometBroadcastHashJoin (34) - : : :- CometFilter (32) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (31) - : : +- ReusedExchange (33) - : +- BroadcastExchange (49) - : +- * Project (48) - : +- Window (47) - : +- * CometColumnarToRow (46) - : +- CometSort (45) - : +- ReusedExchange (44) - +- BroadcastExchange (70) - +- * Project (69) - +- Window (68) - +- * CometColumnarToRow (67) - +- CometSort (66) - +- ReusedExchange (65) +TakeOrderedAndProject (74) ++- * Filter (73) + +- * HashAggregate (72) + +- * HashAggregate (71) + +- * Project (70) + +- * BroadcastHashJoin Inner BuildRight (69) + :- Window (62) + : +- * CometColumnarToRow (61) + : +- CometSort (60) + : +- CometExchange (59) + : +- CometProject (58) + : +- CometFilter (57) + : +- CometSortMergeJoin (56) + : :- CometSort (29) + : : +- CometExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (16) + : : : +- Window (15) + : : : +- * CometColumnarToRow (14) + : : : +- CometSort (13) + : : : +- CometExchange (12) + : : : +- CometHashAggregate (11) + : : : +- CometExchange (10) + : : : +- CometHashAggregate (9) + : : : +- CometProject (8) + : : : +- CometBroadcastHashJoin (7) + : : : :- CometFilter (2) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (1) + : : : +- CometBroadcastExchange (6) + : : : +- CometProject (5) + : : : +- CometFilter (4) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : +- BroadcastExchange (22) + : : +- * Project (21) + : : +- Window (20) + : : +- * CometColumnarToRow (19) + : : +- CometSort (18) + : : +- ReusedExchange (17) + : +- CometSort (55) + : +- CometExchange (54) + : +- CometHashAggregate (53) + : +- CometColumnarExchange (52) + : +- * HashAggregate (51) + : +- * Project (50) + : +- * BroadcastHashJoin Inner BuildRight (49) + : :- * Project (42) + : : +- Window (41) + : : +- * CometColumnarToRow (40) + : : +- CometSort (39) + : : +- CometExchange (38) + : : +- CometHashAggregate (37) + : : +- CometExchange (36) + : : +- CometHashAggregate (35) + : : +- CometProject (34) + : : +- CometBroadcastHashJoin (33) + : : :- CometFilter (31) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (30) + : : +- ReusedExchange (32) + : +- BroadcastExchange (48) + : +- * Project (47) + : +- Window (46) + : +- * CometColumnarToRow (45) + : +- CometSort (44) + : +- ReusedExchange (43) + +- BroadcastExchange (68) + +- * Project (67) + +- Window (66) + +- * CometColumnarToRow (65) + +- CometSort (64) + +- ReusedExchange (63) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales @@ -193,256 +191,246 @@ Results [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Arguments: hashpartitioning(item_sk#9, d_date#6, sumws#10, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(27) CometColumnarToRow [codegen id : 5] -Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] - -(28) HashAggregate [codegen id : 5] +(27) CometHashAggregate Input [5]: [item_sk#9, d_date#6, sumws#10, sum#19, isEmpty#20] Keys [3]: [item_sk#9, d_date#6, sumws#10] Functions [1]: [sum(sumws#14)] -Aggregate Attributes [1]: [sum(sumws#14)#21] -Results [3]: [item_sk#9, d_date#6, sum(sumws#14)#21 AS cume_sales#22] -(29) CometColumnarExchange -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(28) CometExchange +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: hashpartitioning(item_sk#9, d_date#6, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(30) CometSort -Input [3]: [item_sk#9, d_date#6, cume_sales#22] -Arguments: [item_sk#9, d_date#6, cume_sales#22], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] +(29) CometSort +Input [3]: [item_sk#9, d_date#6, cume_sales#21] +Arguments: [item_sk#9, d_date#6, cume_sales#21], [item_sk#9 ASC NULLS FIRST, d_date#6 ASC NULLS FIRST] -(31) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales -Output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] +(30) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales +Output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#25), dynamicpruningexpression(ss_sold_date_sk#25 IN dynamicpruning#26)] +PartitionFilters: [isnotnull(ss_sold_date_sk#24), dynamicpruningexpression(ss_sold_date_sk#24 IN dynamicpruning#25)] PushedFilters: [IsNotNull(ss_item_sk)] ReadSchema: struct -(32) CometFilter -Input [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Condition : isnotnull(ss_item_sk#23) +(31) CometFilter +Input [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Condition : isnotnull(ss_item_sk#22) -(33) ReusedExchange [Reuses operator id: 6] -Output [2]: [d_date_sk#27, d_date#28] +(32) ReusedExchange [Reuses operator id: 6] +Output [2]: [d_date_sk#26, d_date#27] -(34) CometBroadcastHashJoin -Left output [3]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25] -Right output [2]: [d_date_sk#27, d_date#28] -Arguments: [ss_sold_date_sk#25], [d_date_sk#27], Inner, BuildRight +(33) CometBroadcastHashJoin +Left output [3]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24] +Right output [2]: [d_date_sk#26, d_date#27] +Arguments: [ss_sold_date_sk#24], [d_date_sk#26], Inner, BuildRight -(35) CometProject -Input [5]: [ss_item_sk#23, ss_sales_price#24, ss_sold_date_sk#25, d_date_sk#27, d_date#28] -Arguments: [ss_item_sk#23, ss_sales_price#24, d_date#28], [ss_item_sk#23, ss_sales_price#24, d_date#28] +(34) CometProject +Input [5]: [ss_item_sk#22, ss_sales_price#23, ss_sold_date_sk#24, d_date_sk#26, d_date#27] +Arguments: [ss_item_sk#22, ss_sales_price#23, d_date#27], [ss_item_sk#22, ss_sales_price#23, d_date#27] -(36) CometHashAggregate -Input [3]: [ss_item_sk#23, ss_sales_price#24, d_date#28] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#24))] +(35) CometHashAggregate +Input [3]: [ss_item_sk#22, ss_sales_price#23, d_date#27] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [partial_sum(UnscaledValue(ss_sales_price#23))] -(37) CometExchange -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Arguments: hashpartitioning(ss_item_sk#23, d_date#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(36) CometExchange +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Arguments: hashpartitioning(ss_item_sk#22, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) CometHashAggregate -Input [3]: [ss_item_sk#23, d_date#28, sum#29] -Keys [2]: [ss_item_sk#23, d_date#28] -Functions [1]: [sum(UnscaledValue(ss_sales_price#24))] +(37) CometHashAggregate +Input [3]: [ss_item_sk#22, d_date#27, sum#28] +Keys [2]: [ss_item_sk#22, d_date#27] +Functions [1]: [sum(UnscaledValue(ss_sales_price#23))] -(39) CometExchange -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: hashpartitioning(ss_item_sk#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] +(38) CometExchange +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: hashpartitioning(ss_item_sk#22, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(40) CometSort -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23], [ss_item_sk#23 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(39) CometSort +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22], [ss_item_sk#22 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(41) CometColumnarToRow [codegen id : 6] -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] +(40) CometColumnarToRow [codegen id : 5] +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] -(42) Window -Input [4]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23] -Arguments: [row_number() windowspecdefinition(ss_item_sk#23, d_date#28 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#32], [ss_item_sk#23], [d_date#28 ASC NULLS FIRST] +(41) Window +Input [4]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22] +Arguments: [row_number() windowspecdefinition(ss_item_sk#22, d_date#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#31], [ss_item_sk#22], [d_date#27 ASC NULLS FIRST] -(43) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, rk#32] -Input [5]: [item_sk#30, d_date#28, sumss#31, ss_item_sk#23, rk#32] +(42) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, rk#31] +Input [5]: [item_sk#29, d_date#27, sumss#30, ss_item_sk#22, rk#31] -(44) ReusedExchange [Reuses operator id: 39] -Output [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] +(43) ReusedExchange [Reuses operator id: 38] +Output [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(45) CometSort -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] -Arguments: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36], [ss_item_sk#36 ASC NULLS FIRST, d_date#34 ASC NULLS FIRST] +(44) CometSort +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35], [ss_item_sk#35 ASC NULLS FIRST, d_date#33 ASC NULLS FIRST] -(46) CometColumnarToRow [codegen id : 7] -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] +(45) CometColumnarToRow [codegen id : 6] +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] -(47) Window -Input [4]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36] -Arguments: [row_number() windowspecdefinition(ss_item_sk#36, d_date#34 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#37], [ss_item_sk#36], [d_date#34 ASC NULLS FIRST] +(46) Window +Input [4]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35] +Arguments: [row_number() windowspecdefinition(ss_item_sk#35, d_date#33 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#36], [ss_item_sk#35], [d_date#33 ASC NULLS FIRST] -(48) Project [codegen id : 8] -Output [3]: [item_sk#33, sumss#35, rk#37] -Input [5]: [item_sk#33, d_date#34, sumss#35, ss_item_sk#36, rk#37] +(47) Project [codegen id : 7] +Output [3]: [item_sk#32, sumss#34, rk#36] +Input [5]: [item_sk#32, d_date#33, sumss#34, ss_item_sk#35, rk#36] -(49) BroadcastExchange -Input [3]: [item_sk#33, sumss#35, rk#37] +(48) BroadcastExchange +Input [3]: [item_sk#32, sumss#34, rk#36] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=8] -(50) BroadcastHashJoin [codegen id : 9] -Left keys [1]: [item_sk#30] -Right keys [1]: [item_sk#33] +(49) BroadcastHashJoin [codegen id : 8] +Left keys [1]: [item_sk#29] +Right keys [1]: [item_sk#32] Join type: Inner -Join condition: (rk#32 >= rk#37) - -(51) Project [codegen id : 9] -Output [4]: [item_sk#30, d_date#28, sumss#31, sumss#35] -Input [7]: [item_sk#30, d_date#28, sumss#31, rk#32, item_sk#33, sumss#35, rk#37] +Join condition: (rk#31 >= rk#36) -(52) HashAggregate [codegen id : 9] -Input [4]: [item_sk#30, d_date#28, sumss#31, sumss#35] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [partial_sum(sumss#35)] -Aggregate Attributes [2]: [sum#38, isEmpty#39] -Results [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(50) Project [codegen id : 8] +Output [4]: [item_sk#29, d_date#27, sumss#30, sumss#34] +Input [7]: [item_sk#29, d_date#27, sumss#30, rk#31, item_sk#32, sumss#34, rk#36] -(53) CometColumnarExchange -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Arguments: hashpartitioning(item_sk#30, d_date#28, sumss#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] +(51) HashAggregate [codegen id : 8] +Input [4]: [item_sk#29, d_date#27, sumss#30, sumss#34] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [partial_sum(sumss#34)] +Aggregate Attributes [2]: [sum#37, isEmpty#38] +Results [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] -(54) CometColumnarToRow [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] +(52) CometColumnarExchange +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Arguments: hashpartitioning(item_sk#29, d_date#27, sumss#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] -(55) HashAggregate [codegen id : 10] -Input [5]: [item_sk#30, d_date#28, sumss#31, sum#40, isEmpty#41] -Keys [3]: [item_sk#30, d_date#28, sumss#31] -Functions [1]: [sum(sumss#35)] -Aggregate Attributes [1]: [sum(sumss#35)#42] -Results [3]: [item_sk#30, d_date#28, sum(sumss#35)#42 AS cume_sales#43] +(53) CometHashAggregate +Input [5]: [item_sk#29, d_date#27, sumss#30, sum#39, isEmpty#40] +Keys [3]: [item_sk#29, d_date#27, sumss#30] +Functions [1]: [sum(sumss#34)] -(56) CometColumnarExchange -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: hashpartitioning(item_sk#30, d_date#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(54) CometExchange +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: hashpartitioning(item_sk#29, d_date#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(57) CometSort -Input [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#30, d_date#28, cume_sales#43], [item_sk#30 ASC NULLS FIRST, d_date#28 ASC NULLS FIRST] +(55) CometSort +Input [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#29, d_date#27, cume_sales#41], [item_sk#29 ASC NULLS FIRST, d_date#27 ASC NULLS FIRST] -(58) CometSortMergeJoin -Left output [3]: [item_sk#9, d_date#6, cume_sales#22] -Right output [3]: [item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#9, d_date#6], [item_sk#30, d_date#28], FullOuter +(56) CometSortMergeJoin +Left output [3]: [item_sk#9, d_date#6, cume_sales#21] +Right output [3]: [item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#9, d_date#6], [item_sk#29, d_date#27], FullOuter -(59) CometFilter -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END) +(57) CometFilter +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Condition : isnotnull(CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END) -(60) CometProject -Input [6]: [item_sk#9, d_date#6, cume_sales#22, item_sk#30, d_date#28, cume_sales#43] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#30 END AS item_sk#44, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#28 END AS d_date#45, cume_sales#22 AS web_sales#46, cume_sales#43 AS store_sales#47] +(58) CometProject +Input [6]: [item_sk#9, d_date#6, cume_sales#21, item_sk#29, d_date#27, cume_sales#41] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [CASE WHEN isnotnull(item_sk#9) THEN item_sk#9 ELSE item_sk#29 END AS item_sk#42, CASE WHEN isnotnull(d_date#6) THEN d_date#6 ELSE d_date#27 END AS d_date#43, cume_sales#21 AS web_sales#44, cume_sales#41 AS store_sales#45] -(61) CometExchange -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: hashpartitioning(item_sk#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] +(59) CometExchange +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: hashpartitioning(item_sk#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(62) CometSort -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [item_sk#44, d_date#45, web_sales#46, store_sales#47], [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST] +(60) CometSort +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [item_sk#42, d_date#43, web_sales#44, store_sales#45], [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST] -(63) CometColumnarToRow [codegen id : 11] -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] +(61) CometColumnarToRow [codegen id : 9] +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] -(64) Window -Input [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Arguments: [row_number() windowspecdefinition(item_sk#44, d_date#45 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#48], [item_sk#44], [d_date#45 ASC NULLS FIRST] +(62) Window +Input [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Arguments: [row_number() windowspecdefinition(item_sk#42, d_date#43 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#46], [item_sk#42], [d_date#43 ASC NULLS FIRST] -(65) ReusedExchange [Reuses operator id: 61] -Output [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] +(63) ReusedExchange [Reuses operator id: 59] +Output [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] -(66) CometSort -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] -Arguments: [item_sk#49, d_date#50, web_sales#51, store_sales#52], [item_sk#49 ASC NULLS FIRST, d_date#50 ASC NULLS FIRST] +(64) CometSort +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [item_sk#47, d_date#48, web_sales#49, store_sales#50], [item_sk#47 ASC NULLS FIRST, d_date#48 ASC NULLS FIRST] -(67) CometColumnarToRow [codegen id : 22] -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] +(65) CometColumnarToRow [codegen id : 18] +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] -(68) Window -Input [4]: [item_sk#49, d_date#50, web_sales#51, store_sales#52] -Arguments: [row_number() windowspecdefinition(item_sk#49, d_date#50 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#53], [item_sk#49], [d_date#50 ASC NULLS FIRST] +(66) Window +Input [4]: [item_sk#47, d_date#48, web_sales#49, store_sales#50] +Arguments: [row_number() windowspecdefinition(item_sk#47, d_date#48 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#51], [item_sk#47], [d_date#48 ASC NULLS FIRST] -(69) Project [codegen id : 23] -Output [4]: [item_sk#49, web_sales#51, store_sales#52, rk#53] -Input [5]: [item_sk#49, d_date#50, web_sales#51, store_sales#52, rk#53] +(67) Project [codegen id : 19] +Output [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] +Input [5]: [item_sk#47, d_date#48, web_sales#49, store_sales#50, rk#51] -(70) BroadcastExchange -Input [4]: [item_sk#49, web_sales#51, store_sales#52, rk#53] +(68) BroadcastExchange +Input [4]: [item_sk#47, web_sales#49, store_sales#50, rk#51] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] -(71) BroadcastHashJoin [codegen id : 24] -Left keys [1]: [item_sk#44] -Right keys [1]: [item_sk#49] +(69) BroadcastHashJoin [codegen id : 20] +Left keys [1]: [item_sk#42] +Right keys [1]: [item_sk#47] Join type: Inner -Join condition: (rk#48 >= rk#53) - -(72) Project [codegen id : 24] -Output [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Input [9]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, rk#48, item_sk#49, web_sales#51, store_sales#52, rk#53] - -(73) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_sales#51, store_sales#52] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [partial_max(web_sales#51), partial_max(store_sales#52)] -Aggregate Attributes [2]: [max#54, max#55] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#56, max#57] - -(74) HashAggregate [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max#56, max#57] -Keys [4]: [item_sk#44, d_date#45, web_sales#46, store_sales#47] -Functions [2]: [max(web_sales#51), max(store_sales#52)] -Aggregate Attributes [2]: [max(web_sales#51)#58, max(store_sales#52)#59] -Results [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, max(web_sales#51)#58 AS web_cumulative#60, max(store_sales#52)#59 AS store_cumulative#61] - -(75) Filter [codegen id : 24] -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] -Condition : ((isnotnull(web_cumulative#60) AND isnotnull(store_cumulative#61)) AND (web_cumulative#60 > store_cumulative#61)) - -(76) TakeOrderedAndProject -Input [6]: [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] -Arguments: 100, [item_sk#44 ASC NULLS FIRST, d_date#45 ASC NULLS FIRST], [item_sk#44, d_date#45, web_sales#46, store_sales#47, web_cumulative#60, store_cumulative#61] +Join condition: (rk#46 >= rk#51) + +(70) Project [codegen id : 20] +Output [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Input [9]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, rk#46, item_sk#47, web_sales#49, store_sales#50, rk#51] + +(71) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_sales#49, store_sales#50] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [partial_max(web_sales#49), partial_max(store_sales#50)] +Aggregate Attributes [2]: [max#52, max#53] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] + +(72) HashAggregate [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max#54, max#55] +Keys [4]: [item_sk#42, d_date#43, web_sales#44, store_sales#45] +Functions [2]: [max(web_sales#49), max(store_sales#50)] +Aggregate Attributes [2]: [max(web_sales#49)#56, max(store_sales#50)#57] +Results [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, max(web_sales#49)#56 AS web_cumulative#58, max(store_sales#50)#57 AS store_cumulative#59] + +(73) Filter [codegen id : 20] +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Condition : ((isnotnull(web_cumulative#58) AND isnotnull(store_cumulative#59)) AND (web_cumulative#58 > store_cumulative#59)) + +(74) TakeOrderedAndProject +Input [6]: [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] +Arguments: 100, [item_sk#42 ASC NULLS FIRST, d_date#43 ASC NULLS FIRST], [item_sk#42, d_date#43, web_sales#44, store_sales#45, web_cumulative#58, store_cumulative#59] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (81) -+- * CometColumnarToRow (80) - +- CometProject (79) - +- CometFilter (78) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (77) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (75) -(77) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(75) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(78) CometFilter +(76) CometFilter Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Condition : (((isnotnull(d_month_seq#7) AND (d_month_seq#7 >= 1212)) AND (d_month_seq#7 <= 1223)) AND isnotnull(d_date_sk#5)) -(79) CometProject +(77) CometProject Input [3]: [d_date_sk#5, d_date#6, d_month_seq#7] Arguments: [d_date_sk#5, d_date#6], [d_date_sk#5, d_date#6] -(80) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#5, d_date#6] -(81) BroadcastExchange +(79) BroadcastExchange Input [2]: [d_date_sk#5, d_date#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] -Subquery:2 Hosting operator id = 31 Hosting Expression = ss_sold_date_sk#25 IN dynamicpruning#4 +Subquery:2 Hosting operator id = 30 Hosting Expression = ss_sold_date_sk#24 IN dynamicpruning#4 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/extended.txt index f7d3371108..3927d5cb45 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/extended.txt @@ -12,101 +12,99 @@ TakeOrderedAndProject : +- CometFilter : +- CometSortMergeJoin : :- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : : +- CometColumnarToRow - : : : +- CometSort - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : : +- CometColumnarToRow + : : : +- CometSort + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] @@ -117,100 +115,98 @@ TakeOrderedAndProject +- CometFilter +- CometSortMergeJoin :- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : : +- CometColumnarToRow - : : +- CometSort - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : : +- CometColumnarToRow + : : +- CometSort + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - : +- CometColumnarToRow - : +- CometSort - : +- CometExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] - +- CometColumnarToRow - +- CometSort - +- CometExchange - +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : +- ReusedSubquery - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + : +- CometColumnarToRow + : +- CometSort + : +- CometExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] + +- CometColumnarToRow + +- CometSort + +- CometExchange + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometProject + +- CometBroadcastHashJoin + :- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : +- ReusedSubquery + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 138 out of 196 eligible operators (70%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 142 out of 196 eligible operators (72%). Final plan contains 14 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/simplified.txt index b3013059b0..286ec750e2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q51a/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store_cumulative] - WholeStageCodegen (24) + WholeStageCodegen (20) Filter [web_cumulative,store_cumulative] HashAggregate [item_sk,d_date,web_sales,store_sales,max,max] [max(web_sales),max(store_sales),web_cumulative,store_cumulative,max,max] HashAggregate [item_sk,d_date,web_sales,store_sales,web_sales,store_sales] [max,max,max,max] @@ -7,7 +7,7 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store BroadcastHashJoin [item_sk,item_sk,rk,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (11) + WholeStageCodegen (9) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] @@ -16,100 +16,94 @@ TakeOrderedAndProject [item_sk,d_date,web_sales,store_sales,web_cumulative,store CometFilter [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSortMergeJoin [item_sk,d_date,cume_sales,item_sk,d_date,cume_sales] CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #2 - WholeStageCodegen (5) - HashAggregate [item_sk,d_date,sumws,sum,isEmpty] [sum(sumws),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumws] #3 - WholeStageCodegen (4) - HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumws,sumws] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumws,rk] + CometExchange [item_sk,d_date] #2 + CometHashAggregate [sumws,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumws)] + CometColumnarExchange [item_sk,d_date,sumws] #3 + WholeStageCodegen (4) + HashAggregate [item_sk,d_date,sumws,sumws] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumws,sumws] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumws,rk] + InputAdapter + Window [ws_item_sk,d_date] + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumws,ws_item_sk] + CometExchange [ws_item_sk] #4 + CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] + CometExchange [ws_item_sk,d_date] #5 + CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] + CometProject [ws_item_sk,ws_sales_price,d_date] + CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] + CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #6 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + CometBroadcastExchange [d_date_sk,d_date] #7 + CometProject [d_date_sk,d_date] + CometFilter [d_date_sk,d_date,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (3) + Project [item_sk,sumws,rk] InputAdapter Window [ws_item_sk,d_date] - WholeStageCodegen (1) + WholeStageCodegen (2) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumws,ws_item_sk] - CometExchange [ws_item_sk] #4 - CometHashAggregate [sum] [item_sk,d_date,sumws,ws_item_sk,sum(UnscaledValue(ws_sales_price))] - CometExchange [ws_item_sk,d_date] #5 - CometHashAggregate [ws_sales_price] [ws_item_sk,d_date,sum] - CometProject [ws_item_sk,ws_sales_price,d_date] - CometBroadcastHashJoin [ws_item_sk,ws_sales_price,ws_sold_date_sk,d_date_sk,d_date] - CometFilter [ws_item_sk,ws_sales_price,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_item_sk,ws_sales_price,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #6 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - CometBroadcastExchange [d_date_sk,d_date] #7 - CometProject [d_date_sk,d_date] - CometFilter [d_date_sk,d_date,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date,d_month_seq] - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (3) - Project [item_sk,sumws,rk] - InputAdapter - Window [ws_item_sk,d_date] - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumws,ws_item_sk] - ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 + ReusedExchange [item_sk,d_date,sumws,ws_item_sk] #4 CometSort [item_sk,d_date,cume_sales] - CometColumnarExchange [item_sk,d_date] #9 - WholeStageCodegen (10) - HashAggregate [item_sk,d_date,sumss,sum,isEmpty] [sum(sumss),cume_sales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [item_sk,d_date,sumss] #10 - WholeStageCodegen (9) - HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] - Project [item_sk,d_date,sumss,sumss] - BroadcastHashJoin [item_sk,item_sk,rk,rk] - Project [item_sk,d_date,sumss,rk] + CometExchange [item_sk,d_date] #9 + CometHashAggregate [sumss,sum,isEmpty] [item_sk,d_date,cume_sales,sum(sumss)] + CometColumnarExchange [item_sk,d_date,sumss] #10 + WholeStageCodegen (8) + HashAggregate [item_sk,d_date,sumss,sumss] [sum,isEmpty,sum,isEmpty] + Project [item_sk,d_date,sumss,sumss] + BroadcastHashJoin [item_sk,item_sk,rk,rk] + Project [item_sk,d_date,sumss,rk] + InputAdapter + Window [ss_item_sk,d_date] + WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometSort [item_sk,d_date,sumss,ss_item_sk] + CometExchange [ss_item_sk] #11 + CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] + CometExchange [ss_item_sk,d_date] #12 + CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] + CometProject [ss_item_sk,ss_sales_price,d_date] + CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] + CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk,d_date] #7 + InputAdapter + BroadcastExchange #13 + WholeStageCodegen (7) + Project [item_sk,sumss,rk] InputAdapter Window [ss_item_sk,d_date] WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,sumss,ss_item_sk] - CometExchange [ss_item_sk] #11 - CometHashAggregate [sum] [item_sk,d_date,sumss,ss_item_sk,sum(UnscaledValue(ss_sales_price))] - CometExchange [ss_item_sk,d_date] #12 - CometHashAggregate [ss_sales_price] [ss_item_sk,d_date,sum] - CometProject [ss_item_sk,ss_sales_price,d_date] - CometBroadcastHashJoin [ss_item_sk,ss_sales_price,ss_sold_date_sk,d_date_sk,d_date] - CometFilter [ss_item_sk,ss_sales_price,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_item_sk,ss_sales_price,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk,d_date] #7 - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (8) - Project [item_sk,sumss,rk] - InputAdapter - Window [ss_item_sk,d_date] - WholeStageCodegen (7) - CometColumnarToRow - InputAdapter - CometSort [item_sk,d_date,sumss,ss_item_sk] - ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 + ReusedExchange [item_sk,d_date,sumss,ss_item_sk] #11 InputAdapter BroadcastExchange #14 - WholeStageCodegen (23) + WholeStageCodegen (19) Project [item_sk,web_sales,store_sales,rk] InputAdapter Window [item_sk,d_date] - WholeStageCodegen (22) + WholeStageCodegen (18) CometColumnarToRow InputAdapter CometSort [item_sk,d_date,web_sales,store_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/explain.txt index d2e466b254..9b1f8b8678 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/explain.txt @@ -1,55 +1,53 @@ == Physical Plan == -TakeOrderedAndProject (51) -+- * Project (50) - +- * BroadcastHashJoin Inner BuildRight (49) - :- * Project (42) - : +- * BroadcastHashJoin Inner BuildRight (41) - : :- * Project (31) - : : +- * Filter (30) - : : +- Window (29) - : : +- * Filter (28) - : : +- Window (27) - : : +- * CometColumnarToRow (26) - : : +- CometSort (25) - : : +- CometColumnarExchange (24) - : : +- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometFilter (15) - : : +- CometNativeScan parquet spark_catalog.default.call_center (14) - : +- BroadcastExchange (40) - : +- * Project (39) - : +- Window (38) - : +- * CometColumnarToRow (37) - : +- CometSort (36) - : +- CometColumnarExchange (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - +- BroadcastExchange (48) - +- * Project (47) - +- Window (46) - +- * CometColumnarToRow (45) - +- CometSort (44) - +- ReusedExchange (43) +TakeOrderedAndProject (49) ++- * Project (48) + +- * BroadcastHashJoin Inner BuildRight (47) + :- * Project (40) + : +- * BroadcastHashJoin Inner BuildRight (39) + : :- * Project (30) + : : +- * Filter (29) + : : +- Window (28) + : : +- * Filter (27) + : : +- Window (26) + : : +- * CometColumnarToRow (25) + : : +- CometSort (24) + : : +- CometExchange (23) + : : +- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.item (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (5) + : : : +- ReusedExchange (11) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometFilter (15) + : : +- CometNativeScan parquet spark_catalog.default.call_center (14) + : +- BroadcastExchange (38) + : +- * Project (37) + : +- Window (36) + : +- * CometColumnarToRow (35) + : +- CometSort (34) + : +- CometExchange (33) + : +- CometHashAggregate (32) + : +- ReusedExchange (31) + +- BroadcastExchange (46) + +- * Project (45) + +- Window (44) + +- * CometColumnarToRow (43) + +- CometSort (42) + +- ReusedExchange (41) (1) CometNativeScan parquet spark_catalog.default.item @@ -99,7 +97,7 @@ Join condition: None Output [5]: [i_brand#4, i_category#5, cs_call_center_sk#6, cs_sales_price#8, cs_sold_date_sk#9] Input [7]: [i_item_sk#1, i_brand#4, i_category#5, cs_call_center_sk#6, cs_item_sk#7, cs_sales_price#8, cs_sold_date_sk#9] -(11) ReusedExchange [Reuses operator id: 55] +(11) ReusedExchange [Reuses operator id: 53] Output [3]: [d_date_sk#11, d_year#12, d_moy#13] (12) BroadcastHashJoin [codegen id : 4] @@ -151,153 +149,143 @@ Results [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(22) CometColumnarToRow [codegen id : 5] -Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] - -(23) HashAggregate [codegen id : 5] +(22) CometHashAggregate Input [6]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum#17] Keys [5]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13] Functions [1]: [sum(UnscaledValue(cs_sales_price#8))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#8))#18] -Results [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS sum_sales#19, MakeDecimal(sum(UnscaledValue(cs_sales_price#8))#18,17,2) AS _w0#20] -(24) CometColumnarExchange -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(23) CometExchange +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: hashpartitioning(i_category#5, i_brand#4, cc_name#15, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(25) CometSort -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(24) CometSort +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19], [i_category#5 ASC NULLS FIRST, i_brand#4 ASC NULLS FIRST, cc_name#15 ASC NULLS FIRST, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(26) CometColumnarToRow [codegen id : 6] -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] +(25) CometColumnarToRow [codegen id : 5] +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] -(27) Window -Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20] -Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#21], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] +(26) Window +Input [7]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19] +Arguments: [rank(d_year#12, d_moy#13) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#20], [i_category#5, i_brand#4, cc_name#15], [d_year#12 ASC NULLS FIRST, d_moy#13 ASC NULLS FIRST] -(28) Filter [codegen id : 7] -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] +(27) Filter [codegen id : 6] +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] Condition : (isnotnull(d_year#12) AND (d_year#12 = 1999)) -(29) Window -Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21] -Arguments: [avg(_w0#20) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#22], [i_category#5, i_brand#4, cc_name#15, d_year#12] - -(30) Filter [codegen id : 22] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] -Condition : ((isnotnull(avg_monthly_sales#22) AND (avg_monthly_sales#22 > 0.000000)) AND CASE WHEN (avg_monthly_sales#22 > 0.000000) THEN ((abs((sum_sales#19 - avg_monthly_sales#22)) / avg_monthly_sales#22) > 0.1000000000000000) END) +(28) Window +Input [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20] +Arguments: [avg(_w0#19) windowspecdefinition(i_category#5, i_brand#4, cc_name#15, d_year#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS avg_monthly_sales#21], [i_category#5, i_brand#4, cc_name#15, d_year#12] -(31) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21] -Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, _w0#20, rn#21, avg_monthly_sales#22] +(29) Filter [codegen id : 19] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] +Condition : ((isnotnull(avg_monthly_sales#21) AND (avg_monthly_sales#21 > 0.000000)) AND CASE WHEN (avg_monthly_sales#21 > 0.000000) THEN ((abs((sum_sales#18 - avg_monthly_sales#21)) / avg_monthly_sales#21) > 0.1000000000000000) END) -(32) ReusedExchange [Reuses operator id: 21] -Output [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] +(30) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20] +Input [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, _w0#19, rn#20, avg_monthly_sales#21] -(33) CometColumnarToRow [codegen id : 12] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] +(31) ReusedExchange [Reuses operator id: 21] +Output [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum#27] -(34) HashAggregate [codegen id : 12] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum#28] -Keys [5]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27] -Functions [1]: [sum(UnscaledValue(cs_sales_price#29))] -Aggregate Attributes [1]: [sum(UnscaledValue(cs_sales_price#29))#18] -Results [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, MakeDecimal(sum(UnscaledValue(cs_sales_price#29))#18,17,2) AS sum_sales#30] +(32) CometHashAggregate +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum#27] +Keys [5]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26] +Functions [1]: [sum(UnscaledValue(cs_sales_price#28))] -(35) CometColumnarExchange -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: hashpartitioning(i_category#23, i_brand#24, cc_name#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(33) CometExchange +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: hashpartitioning(i_category#22, i_brand#23, cc_name#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(36) CometSort -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30], [i_category#23 ASC NULLS FIRST, i_brand#24 ASC NULLS FIRST, cc_name#25 ASC NULLS FIRST, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(34) CometSort +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29], [i_category#22 ASC NULLS FIRST, i_brand#23 ASC NULLS FIRST, cc_name#24 ASC NULLS FIRST, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(37) CometColumnarToRow [codegen id : 13] -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] +(35) CometColumnarToRow [codegen id : 11] +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] -(38) Window -Input [6]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30] -Arguments: [rank(d_year#26, d_moy#27) windowspecdefinition(i_category#23, i_brand#24, cc_name#25, d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#31], [i_category#23, i_brand#24, cc_name#25], [d_year#26 ASC NULLS FIRST, d_moy#27 ASC NULLS FIRST] +(36) Window +Input [6]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29] +Arguments: [rank(d_year#25, d_moy#26) windowspecdefinition(i_category#22, i_brand#23, cc_name#24, d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#30], [i_category#22, i_brand#23, cc_name#24], [d_year#25 ASC NULLS FIRST, d_moy#26 ASC NULLS FIRST] -(39) Project [codegen id : 14] -Output [5]: [i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] -Input [7]: [i_category#23, i_brand#24, cc_name#25, d_year#26, d_moy#27, sum_sales#30, rn#31] +(37) Project [codegen id : 12] +Output [5]: [i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] +Input [7]: [i_category#22, i_brand#23, cc_name#24, d_year#25, d_moy#26, sum_sales#29, rn#30] -(40) BroadcastExchange -Input [5]: [i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] +(38) BroadcastExchange +Input [5]: [i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] + 1)),false), [plan_id=6] -(41) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#23, i_brand#24, cc_name#25, (rn#31 + 1)] +(39) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#22, i_brand#23, cc_name#24, (rn#30 + 1)] Join type: Inner Join condition: None -(42) Project [codegen id : 22] -Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#30] -Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, i_category#23, i_brand#24, cc_name#25, sum_sales#30, rn#31] +(40) Project [codegen id : 19] +Output [9]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#29] +Input [13]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, i_category#22, i_brand#23, cc_name#24, sum_sales#29, rn#30] -(43) ReusedExchange [Reuses operator id: 35] -Output [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] +(41) ReusedExchange [Reuses operator id: 33] +Output [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] -(44) CometSort -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] -Arguments: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37], [i_category#32 ASC NULLS FIRST, i_brand#33 ASC NULLS FIRST, cc_name#34 ASC NULLS FIRST, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] +(42) CometSort +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] +Arguments: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36], [i_category#31 ASC NULLS FIRST, i_brand#32 ASC NULLS FIRST, cc_name#33 ASC NULLS FIRST, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST] -(45) CometColumnarToRow [codegen id : 20] -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] +(43) CometColumnarToRow [codegen id : 17] +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] -(46) Window -Input [6]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37] -Arguments: [rank(d_year#35, d_moy#36) windowspecdefinition(i_category#32, i_brand#33, cc_name#34, d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#38], [i_category#32, i_brand#33, cc_name#34], [d_year#35 ASC NULLS FIRST, d_moy#36 ASC NULLS FIRST] +(44) Window +Input [6]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36] +Arguments: [rank(d_year#34, d_moy#35) windowspecdefinition(i_category#31, i_brand#32, cc_name#33, d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rn#37], [i_category#31, i_brand#32, cc_name#33], [d_year#34 ASC NULLS FIRST, d_moy#35 ASC NULLS FIRST] -(47) Project [codegen id : 21] -Output [5]: [i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] -Input [7]: [i_category#32, i_brand#33, cc_name#34, d_year#35, d_moy#36, sum_sales#37, rn#38] +(45) Project [codegen id : 18] +Output [5]: [i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] +Input [7]: [i_category#31, i_brand#32, cc_name#33, d_year#34, d_moy#35, sum_sales#36, rn#37] -(48) BroadcastExchange -Input [5]: [i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] +(46) BroadcastExchange +Input [5]: [i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] Arguments: HashedRelationBroadcastMode(List(input[0, string, true], input[1, string, true], input[2, string, true], (input[4, int, false] - 1)),false), [plan_id=7] -(49) BroadcastHashJoin [codegen id : 22] -Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#21] -Right keys [4]: [i_category#32, i_brand#33, cc_name#34, (rn#38 - 1)] +(47) BroadcastHashJoin [codegen id : 19] +Left keys [4]: [i_category#5, i_brand#4, cc_name#15, rn#20] +Right keys [4]: [i_category#31, i_brand#32, cc_name#33, (rn#37 - 1)] Join type: Inner Join condition: None -(50) Project [codegen id : 22] -Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, sum_sales#30 AS psum#39, sum_sales#37 AS nsum#40] -Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#19, avg_monthly_sales#22, rn#21, sum_sales#30, i_category#32, i_brand#33, cc_name#34, sum_sales#37, rn#38] +(48) Project [codegen id : 19] +Output [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, sum_sales#29 AS psum#38, sum_sales#36 AS nsum#39] +Input [14]: [i_category#5, i_brand#4, cc_name#15, d_year#12, d_moy#13, sum_sales#18, avg_monthly_sales#21, rn#20, sum_sales#29, i_category#31, i_brand#32, cc_name#33, sum_sales#36, rn#37] -(51) TakeOrderedAndProject -Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] -Arguments: 100, [(sum_sales#19 - avg_monthly_sales#22) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#22, sum_sales#19, psum#39, nsum#40] +(49) TakeOrderedAndProject +Input [8]: [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] +Arguments: 100, [(sum_sales#18 - avg_monthly_sales#21) ASC NULLS FIRST, d_year#12 ASC NULLS FIRST], [i_category#5, i_brand#4, d_year#12, d_moy#13, avg_monthly_sales#21, sum_sales#18, psum#38, nsum#39] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = cs_sold_date_sk#9 IN dynamicpruning#10 -BroadcastExchange (55) -+- * CometColumnarToRow (54) - +- CometFilter (53) - +- CometNativeScan parquet spark_catalog.default.date_dim (52) +BroadcastExchange (53) ++- * CometColumnarToRow (52) + +- CometFilter (51) + +- CometNativeScan parquet spark_catalog.default.date_dim (50) -(52) CometNativeScan parquet spark_catalog.default.date_dim +(50) CometNativeScan parquet spark_catalog.default.date_dim Output [3]: [d_date_sk#11, d_year#12, d_moy#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [Or(Or(EqualTo(d_year,1999),And(EqualTo(d_year,1998),EqualTo(d_moy,12))),And(EqualTo(d_year,2000),EqualTo(d_moy,1))), IsNotNull(d_date_sk)] ReadSchema: struct -(53) CometFilter +(51) CometFilter Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Condition : ((((d_year#12 = 1999) OR ((d_year#12 = 1998) AND (d_moy#13 = 12))) OR ((d_year#12 = 2000) AND (d_moy#13 = 1))) AND isnotnull(d_date_sk#11)) -(54) CometColumnarToRow [codegen id : 1] +(52) CometColumnarToRow [codegen id : 1] Input [3]: [d_date_sk#11, d_year#12, d_moy#13] -(55) BroadcastExchange +(53) BroadcastExchange Input [3]: [d_date_sk#11, d_year#12, d_moy#13] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/extended.txt index 65c66a7da8..0843239207 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/extended.txt @@ -10,111 +10,108 @@ TakeOrderedAndProject : : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : : +- CometColumnarToRow : : +- CometSort - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.call_center + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.call_center : +- BroadcastExchange : +- Project : +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] : +- CometColumnarToRow : +- CometSort - : +- CometColumnarExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.item - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.call_center + : +- CometExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.item + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.call_center +- BroadcastExchange +- Project +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.item - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.call_center + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.item + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.call_center -Comet accelerated 36 out of 97 eligible operators (37%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 39 out of 97 eligible operators (40%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/simplified.txt index e603f05322..430ec52926 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q57.native_datafusion/simplified.txt @@ -1,5 +1,5 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_moy,psum,nsum] - WholeStageCodegen (22) + WholeStageCodegen (19) Project [i_category,i_brand,d_year,d_moy,avg_monthly_sales,sum_sales,sum_sales,sum_sales] BroadcastHashJoin [i_category,i_brand,cc_name,rn,i_category,i_brand,cc_name,rn] Project [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,avg_monthly_sales,rn,sum_sales] @@ -8,79 +8,73 @@ TakeOrderedAndProject [sum_sales,avg_monthly_sales,d_year,i_category,i_brand,d_m Filter [avg_monthly_sales,sum_sales] InputAdapter Window [_w0,i_category,i_brand,cc_name,d_year] - WholeStageCodegen (7) + WholeStageCodegen (6) Filter [d_year] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (6) + WholeStageCodegen (5) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0] - CometColumnarExchange [i_category,i_brand,cc_name] #1 - WholeStageCodegen (5) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] - Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] - BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] - BroadcastHashJoin [i_item_sk,cs_item_sk] - CometColumnarToRow - InputAdapter - CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] - CometFilter [i_item_sk,i_brand,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] - InputAdapter - BroadcastExchange #3 - WholeStageCodegen (1) - Filter [cs_item_sk,cs_call_center_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year,d_moy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + CometExchange [i_category,i_brand,cc_name] #1 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,_w0,sum(UnscaledValue(cs_sales_price))] + CometColumnarExchange [i_category,i_brand,cc_name,d_year,d_moy] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,cs_sales_price] [sum,sum] + Project [i_brand,i_category,cs_sales_price,d_year,d_moy,cc_name] + BroadcastHashJoin [cs_call_center_sk,cc_call_center_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,d_year,d_moy] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + Project [i_brand,i_category,cs_call_center_sk,cs_sales_price,cs_sold_date_sk] + BroadcastHashJoin [i_item_sk,cs_item_sk] + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) - CometColumnarToRow - InputAdapter - CometFilter [cc_call_center_sk,cc_name] - CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] + CometProject [i_brand,i_category] [i_item_sk,i_brand,i_category] + CometFilter [i_item_sk,i_brand,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_category] + InputAdapter + BroadcastExchange #3 + WholeStageCodegen (1) + Filter [cs_item_sk,cs_call_center_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_item_sk,cs_sales_price,cs_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year,d_moy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year,d_moy] + InputAdapter + ReusedExchange [d_date_sk,d_year,d_moy] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometFilter [cc_call_center_sk,cc_name] + CometNativeScan parquet spark_catalog.default.call_center [cc_call_center_sk,cc_name] InputAdapter BroadcastExchange #6 - WholeStageCodegen (14) + WholeStageCodegen (12) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (13) + WholeStageCodegen (11) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] - CometColumnarExchange [i_category,i_brand,cc_name] #7 - WholeStageCodegen (12) - HashAggregate [i_category,i_brand,cc_name,d_year,d_moy,sum] [sum(UnscaledValue(cs_sales_price)),sum_sales,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 + CometExchange [i_category,i_brand,cc_name] #7 + CometHashAggregate [sum] [i_category,i_brand,cc_name,d_year,d_moy,sum_sales,sum(UnscaledValue(cs_sales_price))] + ReusedExchange [i_category,i_brand,cc_name,d_year,d_moy,sum] #2 InputAdapter BroadcastExchange #8 - WholeStageCodegen (21) + WholeStageCodegen (18) Project [i_category,i_brand,cc_name,sum_sales,rn] InputAdapter Window [d_year,d_moy,i_category,i_brand,cc_name] - WholeStageCodegen (20) + WholeStageCodegen (17) CometColumnarToRow InputAdapter CometSort [i_category,i_brand,cc_name,d_year,d_moy,sum_sales] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/explain.txt index 28d5613986..bb93a46a16 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/explain.txt @@ -1,103 +1,95 @@ == Physical Plan == -* CometColumnarToRow (99) -+- CometTakeOrderedAndProject (98) - +- CometHashAggregate (97) - +- CometColumnarExchange (96) - +- * HashAggregate (95) - +- Union (94) - :- * HashAggregate (79) - : +- * CometColumnarToRow (78) - : +- CometColumnarExchange (77) - : +- * HashAggregate (76) - : +- Union (75) - : :- * HashAggregate (23) - : : +- * CometColumnarToRow (22) - : : +- CometColumnarExchange (21) - : : +- * HashAggregate (20) - : : +- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- Union (9) - : : : : :- * Project (4) - : : : : : +- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- * Project (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_returns (5) - : : : +- ReusedExchange (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : :- * HashAggregate (46) - : : +- * CometColumnarToRow (45) - : : +- CometColumnarExchange (44) - : : +- * HashAggregate (43) - : : +- * Project (42) - : : +- * BroadcastHashJoin Inner BuildRight (41) - : : :- * Project (35) - : : : +- * BroadcastHashJoin Inner BuildRight (34) - : : : :- Union (32) - : : : : :- * Project (27) - : : : : : +- * Filter (26) - : : : : : +- * ColumnarToRow (25) - : : : : : +- Scan parquet spark_catalog.default.catalog_sales (24) - : : : : +- * Project (31) - : : : : +- * Filter (30) - : : : : +- * ColumnarToRow (29) - : : : : +- Scan parquet spark_catalog.default.catalog_returns (28) - : : : +- ReusedExchange (33) - : : +- BroadcastExchange (40) - : : +- * CometColumnarToRow (39) - : : +- CometProject (38) - : : +- CometFilter (37) - : : +- CometNativeScan parquet spark_catalog.default.catalog_page (36) - : +- * HashAggregate (74) - : +- * CometColumnarToRow (73) - : +- CometColumnarExchange (72) - : +- * HashAggregate (71) - : +- * Project (70) - : +- * BroadcastHashJoin Inner BuildRight (69) - : :- * Project (63) - : : +- * BroadcastHashJoin Inner BuildRight (62) - : : :- Union (60) - : : : :- * Project (50) - : : : : +- * Filter (49) - : : : : +- * ColumnarToRow (48) - : : : : +- Scan parquet spark_catalog.default.web_sales (47) - : : : +- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildLeft (58) - : : : :- BroadcastExchange (53) - : : : : +- * ColumnarToRow (52) - : : : : +- Scan parquet spark_catalog.default.web_returns (51) - : : : +- * CometColumnarToRow (57) - : : : +- CometProject (56) - : : : +- CometFilter (55) - : : : +- CometNativeScan parquet spark_catalog.default.web_sales (54) - : : +- ReusedExchange (61) - : +- BroadcastExchange (68) - : +- * CometColumnarToRow (67) - : +- CometProject (66) - : +- CometFilter (65) - : +- CometNativeScan parquet spark_catalog.default.web_site (64) - :- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- CometColumnarExchange (84) - : +- * HashAggregate (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- ReusedExchange (80) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- CometColumnarExchange (91) - +- * HashAggregate (90) - +- * HashAggregate (89) - +- * CometColumnarToRow (88) - +- ReusedExchange (87) +* CometColumnarToRow (91) ++- CometTakeOrderedAndProject (90) + +- CometHashAggregate (89) + +- CometExchange (88) + +- CometHashAggregate (87) + +- CometUnion (86) + :- CometHashAggregate (75) + : +- CometExchange (74) + : +- CometHashAggregate (73) + : +- CometUnion (72) + : :- CometHashAggregate (22) + : : +- CometColumnarExchange (21) + : : +- * HashAggregate (20) + : : +- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- Union (9) + : : : : :- * Project (4) + : : : : : +- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- * Project (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_returns (5) + : : : +- ReusedExchange (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : :- CometHashAggregate (44) + : : +- CometColumnarExchange (43) + : : +- * HashAggregate (42) + : : +- * Project (41) + : : +- * BroadcastHashJoin Inner BuildRight (40) + : : :- * Project (34) + : : : +- * BroadcastHashJoin Inner BuildRight (33) + : : : :- Union (31) + : : : : :- * Project (26) + : : : : : +- * Filter (25) + : : : : : +- * ColumnarToRow (24) + : : : : : +- Scan parquet spark_catalog.default.catalog_sales (23) + : : : : +- * Project (30) + : : : : +- * Filter (29) + : : : : +- * ColumnarToRow (28) + : : : : +- Scan parquet spark_catalog.default.catalog_returns (27) + : : : +- ReusedExchange (32) + : : +- BroadcastExchange (39) + : : +- * CometColumnarToRow (38) + : : +- CometProject (37) + : : +- CometFilter (36) + : : +- CometNativeScan parquet spark_catalog.default.catalog_page (35) + : +- CometHashAggregate (71) + : +- CometColumnarExchange (70) + : +- * HashAggregate (69) + : +- * Project (68) + : +- * BroadcastHashJoin Inner BuildRight (67) + : :- * Project (61) + : : +- * BroadcastHashJoin Inner BuildRight (60) + : : :- Union (58) + : : : :- * Project (48) + : : : : +- * Filter (47) + : : : : +- * ColumnarToRow (46) + : : : : +- Scan parquet spark_catalog.default.web_sales (45) + : : : +- * Project (57) + : : : +- * BroadcastHashJoin Inner BuildLeft (56) + : : : :- BroadcastExchange (51) + : : : : +- * ColumnarToRow (50) + : : : : +- Scan parquet spark_catalog.default.web_returns (49) + : : : +- * CometColumnarToRow (55) + : : : +- CometProject (54) + : : : +- CometFilter (53) + : : : +- CometNativeScan parquet spark_catalog.default.web_sales (52) + : : +- ReusedExchange (59) + : +- BroadcastExchange (66) + : +- * CometColumnarToRow (65) + : +- CometProject (64) + : +- CometFilter (63) + : +- CometNativeScan parquet spark_catalog.default.web_site (62) + :- CometHashAggregate (80) + : +- CometExchange (79) + : +- CometHashAggregate (78) + : +- CometHashAggregate (77) + : +- ReusedExchange (76) + +- CometHashAggregate (85) + +- CometExchange (84) + +- CometHashAggregate (83) + +- CometHashAggregate (82) + +- ReusedExchange (81) (1) Scan parquet spark_catalog.default.store_sales @@ -140,7 +132,7 @@ Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_s (9) Union -(10) ReusedExchange [Reuses operator id: 104] +(10) ReusedExchange [Reuses operator id: 96] Output [1]: [d_date_sk#22] (11) BroadcastHashJoin [codegen id : 5] @@ -196,407 +188,365 @@ Results [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Arguments: hashpartitioning(s_store_id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(22) CometColumnarToRow [codegen id : 6] -Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] - -(23) HashAggregate [codegen id : 6] +(22) CometHashAggregate Input [5]: [s_store_id#25, sum#30, sum#31, sum#32, sum#33] Keys [1]: [s_store_id#25] Functions [4]: [sum(UnscaledValue(sales_price#8)), sum(UnscaledValue(return_amt#10)), sum(UnscaledValue(profit#9)), sum(UnscaledValue(net_loss#11))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#8))#34, sum(UnscaledValue(return_amt#10))#35, sum(UnscaledValue(profit#9))#36, sum(UnscaledValue(net_loss#11))#37] -Results [5]: [store channel AS channel#38, concat(store, s_store_id#25) AS id#39, MakeDecimal(sum(UnscaledValue(sales_price#8))#34,17,2) AS sales#40, MakeDecimal(sum(UnscaledValue(return_amt#10))#35,17,2) AS returns#41, (MakeDecimal(sum(UnscaledValue(profit#9))#36,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#11))#37,17,2)) AS profit#42] -(24) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(23) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#46), dynamicpruningexpression(cs_sold_date_sk#46 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cs_catalog_page_sk)] ReadSchema: struct -(25) ColumnarToRow [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(24) ColumnarToRow [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(26) Filter [codegen id : 7] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] -Condition : isnotnull(cs_catalog_page_sk#43) +(25) Filter [codegen id : 6] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +Condition : isnotnull(cs_catalog_page_sk#34) -(27) Project [codegen id : 7] -Output [6]: [cs_catalog_page_sk#43 AS page_sk#47, cs_sold_date_sk#46 AS date_sk#48, cs_ext_sales_price#44 AS sales_price#49, cs_net_profit#45 AS profit#50, 0.00 AS return_amt#51, 0.00 AS net_loss#52] -Input [4]: [cs_catalog_page_sk#43, cs_ext_sales_price#44, cs_net_profit#45, cs_sold_date_sk#46] +(26) Project [codegen id : 6] +Output [6]: [cs_catalog_page_sk#34 AS page_sk#38, cs_sold_date_sk#37 AS date_sk#39, cs_ext_sales_price#35 AS sales_price#40, cs_net_profit#36 AS profit#41, 0.00 AS return_amt#42, 0.00 AS net_loss#43] +Input [4]: [cs_catalog_page_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] -(28) Scan parquet spark_catalog.default.catalog_returns -Output [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(27) Scan parquet spark_catalog.default.catalog_returns +Output [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#56), dynamicpruningexpression(cr_returned_date_sk#56 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#47), dynamicpruningexpression(cr_returned_date_sk#47 IN dynamicpruning#5)] PushedFilters: [IsNotNull(cr_catalog_page_sk)] ReadSchema: struct -(29) ColumnarToRow [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(28) ColumnarToRow [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(30) Filter [codegen id : 8] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] -Condition : isnotnull(cr_catalog_page_sk#53) +(29) Filter [codegen id : 7] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] +Condition : isnotnull(cr_catalog_page_sk#44) -(31) Project [codegen id : 8] -Output [6]: [cr_catalog_page_sk#53 AS page_sk#57, cr_returned_date_sk#56 AS date_sk#58, 0.00 AS sales_price#59, 0.00 AS profit#60, cr_return_amount#54 AS return_amt#61, cr_net_loss#55 AS net_loss#62] -Input [4]: [cr_catalog_page_sk#53, cr_return_amount#54, cr_net_loss#55, cr_returned_date_sk#56] +(30) Project [codegen id : 7] +Output [6]: [cr_catalog_page_sk#44 AS page_sk#48, cr_returned_date_sk#47 AS date_sk#49, 0.00 AS sales_price#50, 0.00 AS profit#51, cr_return_amount#45 AS return_amt#52, cr_net_loss#46 AS net_loss#53] +Input [4]: [cr_catalog_page_sk#44, cr_return_amount#45, cr_net_loss#46, cr_returned_date_sk#47] -(32) Union +(31) Union -(33) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#63] +(32) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#54] -(34) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [date_sk#48] -Right keys [1]: [d_date_sk#63] +(33) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [date_sk#39] +Right keys [1]: [d_date_sk#54] Join type: Inner Join condition: None -(35) Project [codegen id : 11] -Output [5]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52] -Input [7]: [page_sk#47, date_sk#48, sales_price#49, profit#50, return_amt#51, net_loss#52, d_date_sk#63] +(34) Project [codegen id : 10] +Output [5]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43] +Input [7]: [page_sk#38, date_sk#39, sales_price#40, profit#41, return_amt#42, net_loss#43, d_date_sk#54] -(36) CometNativeScan parquet spark_catalog.default.catalog_page -Output [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] +(35) CometNativeScan parquet spark_catalog.default.catalog_page +Output [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] Batched: true Location [not included in comparison]/{warehouse_dir}/catalog_page] PushedFilters: [IsNotNull(cp_catalog_page_sk)] ReadSchema: struct -(37) CometFilter -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Condition : isnotnull(cp_catalog_page_sk#64) +(36) CometFilter +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Condition : isnotnull(cp_catalog_page_sk#55) -(38) CometProject -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#65] -Arguments: [cp_catalog_page_sk#64, cp_catalog_page_id#66], [cp_catalog_page_sk#64, static_invoke(CharVarcharCodegenUtils.readSidePadding(cp_catalog_page_id#65, 16)) AS cp_catalog_page_id#66] +(37) CometProject +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#56] +Arguments: [cp_catalog_page_sk#55, cp_catalog_page_id#57], [cp_catalog_page_sk#55, static_invoke(CharVarcharCodegenUtils.readSidePadding(cp_catalog_page_id#56, 16)) AS cp_catalog_page_id#57] -(39) CometColumnarToRow [codegen id : 10] -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(38) CometColumnarToRow [codegen id : 9] +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] -(40) BroadcastExchange -Input [2]: [cp_catalog_page_sk#64, cp_catalog_page_id#66] +(39) BroadcastExchange +Input [2]: [cp_catalog_page_sk#55, cp_catalog_page_id#57] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=3] -(41) BroadcastHashJoin [codegen id : 11] -Left keys [1]: [page_sk#47] -Right keys [1]: [cp_catalog_page_sk#64] +(40) BroadcastHashJoin [codegen id : 10] +Left keys [1]: [page_sk#38] +Right keys [1]: [cp_catalog_page_sk#55] Join type: Inner Join condition: None -(42) Project [codegen id : 11] -Output [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Input [7]: [page_sk#47, sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_sk#64, cp_catalog_page_id#66] - -(43) HashAggregate [codegen id : 11] -Input [5]: [sales_price#49, profit#50, return_amt#51, net_loss#52, cp_catalog_page_id#66] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [partial_sum(UnscaledValue(sales_price#49)), partial_sum(UnscaledValue(return_amt#51)), partial_sum(UnscaledValue(profit#50)), partial_sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum#67, sum#68, sum#69, sum#70] -Results [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(44) CometColumnarExchange -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Arguments: hashpartitioning(cp_catalog_page_id#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(45) CometColumnarToRow [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] - -(46) HashAggregate [codegen id : 12] -Input [5]: [cp_catalog_page_id#66, sum#71, sum#72, sum#73, sum#74] -Keys [1]: [cp_catalog_page_id#66] -Functions [4]: [sum(UnscaledValue(sales_price#49)), sum(UnscaledValue(return_amt#51)), sum(UnscaledValue(profit#50)), sum(UnscaledValue(net_loss#52))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#49))#75, sum(UnscaledValue(return_amt#51))#76, sum(UnscaledValue(profit#50))#77, sum(UnscaledValue(net_loss#52))#78] -Results [5]: [catalog channel AS channel#79, concat(catalog_page, cp_catalog_page_id#66) AS id#80, MakeDecimal(sum(UnscaledValue(sales_price#49))#75,17,2) AS sales#81, MakeDecimal(sum(UnscaledValue(return_amt#51))#76,17,2) AS returns#82, (MakeDecimal(sum(UnscaledValue(profit#50))#77,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#52))#78,17,2)) AS profit#83] - -(47) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(41) Project [codegen id : 10] +Output [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Input [7]: [page_sk#38, sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_sk#55, cp_catalog_page_id#57] + +(42) HashAggregate [codegen id : 10] +Input [5]: [sales_price#40, profit#41, return_amt#42, net_loss#43, cp_catalog_page_id#57] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [partial_sum(UnscaledValue(sales_price#40)), partial_sum(UnscaledValue(return_amt#42)), partial_sum(UnscaledValue(profit#41)), partial_sum(UnscaledValue(net_loss#43))] +Aggregate Attributes [4]: [sum#58, sum#59, sum#60, sum#61] +Results [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] + +(43) CometColumnarExchange +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Arguments: hashpartitioning(cp_catalog_page_id#57, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(44) CometHashAggregate +Input [5]: [cp_catalog_page_id#57, sum#62, sum#63, sum#64, sum#65] +Keys [1]: [cp_catalog_page_id#57] +Functions [4]: [sum(UnscaledValue(sales_price#40)), sum(UnscaledValue(return_amt#42)), sum(UnscaledValue(profit#41)), sum(UnscaledValue(net_loss#43))] + +(45) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#87), dynamicpruningexpression(ws_sold_date_sk#87 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#69), dynamicpruningexpression(ws_sold_date_sk#69 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_site_sk)] ReadSchema: struct -(48) ColumnarToRow [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(46) ColumnarToRow [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(49) Filter [codegen id : 13] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] -Condition : isnotnull(ws_web_site_sk#84) +(47) Filter [codegen id : 11] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] +Condition : isnotnull(ws_web_site_sk#66) -(50) Project [codegen id : 13] -Output [6]: [ws_web_site_sk#84 AS wsr_web_site_sk#88, ws_sold_date_sk#87 AS date_sk#89, ws_ext_sales_price#85 AS sales_price#90, ws_net_profit#86 AS profit#91, 0.00 AS return_amt#92, 0.00 AS net_loss#93] -Input [4]: [ws_web_site_sk#84, ws_ext_sales_price#85, ws_net_profit#86, ws_sold_date_sk#87] +(48) Project [codegen id : 11] +Output [6]: [ws_web_site_sk#66 AS wsr_web_site_sk#70, ws_sold_date_sk#69 AS date_sk#71, ws_ext_sales_price#67 AS sales_price#72, ws_net_profit#68 AS profit#73, 0.00 AS return_amt#74, 0.00 AS net_loss#75] +Input [4]: [ws_web_site_sk#66, ws_ext_sales_price#67, ws_net_profit#68, ws_sold_date_sk#69] -(51) Scan parquet spark_catalog.default.web_returns -Output [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(49) Scan parquet spark_catalog.default.web_returns +Output [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#98), dynamicpruningexpression(wr_returned_date_sk#98 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#80), dynamicpruningexpression(wr_returned_date_sk#80 IN dynamicpruning#5)] ReadSchema: struct -(52) ColumnarToRow [codegen id : 14] -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(50) ColumnarToRow [codegen id : 12] +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] -(53) BroadcastExchange -Input [5]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98] +(51) BroadcastExchange +Input [5]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80] Arguments: HashedRelationBroadcastMode(List((shiftleft(cast(input[0, int, true] as bigint), 32) | (cast(input[1, int, true] as bigint) & 4294967295))),false), [plan_id=5] -(54) CometNativeScan parquet spark_catalog.default.web_sales -Output [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] +(52) CometNativeScan parquet spark_catalog.default.web_sales +Output [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] Batched: true Location [not included in comparison]/{warehouse_dir}/web_sales] PushedFilters: [IsNotNull(ws_item_sk), IsNotNull(ws_order_number), IsNotNull(ws_web_site_sk)] ReadSchema: struct -(55) CometFilter -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Condition : ((isnotnull(ws_item_sk#99) AND isnotnull(ws_order_number#101)) AND isnotnull(ws_web_site_sk#100)) +(53) CometFilter +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Condition : ((isnotnull(ws_item_sk#81) AND isnotnull(ws_order_number#83)) AND isnotnull(ws_web_site_sk#82)) -(56) CometProject -Input [4]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101, ws_sold_date_sk#102] -Arguments: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101], [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(54) CometProject +Input [4]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83, ws_sold_date_sk#84] +Arguments: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83], [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(57) CometColumnarToRow -Input [3]: [ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(55) CometColumnarToRow +Input [3]: [ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(58) BroadcastHashJoin [codegen id : 15] -Left keys [2]: [wr_item_sk#94, wr_order_number#95] -Right keys [2]: [ws_item_sk#99, ws_order_number#101] +(56) BroadcastHashJoin [codegen id : 13] +Left keys [2]: [wr_item_sk#76, wr_order_number#77] +Right keys [2]: [ws_item_sk#81, ws_order_number#83] Join type: Inner Join condition: None -(59) Project [codegen id : 15] -Output [6]: [ws_web_site_sk#100 AS wsr_web_site_sk#103, wr_returned_date_sk#98 AS date_sk#104, 0.00 AS sales_price#105, 0.00 AS profit#106, wr_return_amt#96 AS return_amt#107, wr_net_loss#97 AS net_loss#108] -Input [8]: [wr_item_sk#94, wr_order_number#95, wr_return_amt#96, wr_net_loss#97, wr_returned_date_sk#98, ws_item_sk#99, ws_web_site_sk#100, ws_order_number#101] +(57) Project [codegen id : 13] +Output [6]: [ws_web_site_sk#82 AS wsr_web_site_sk#85, wr_returned_date_sk#80 AS date_sk#86, 0.00 AS sales_price#87, 0.00 AS profit#88, wr_return_amt#78 AS return_amt#89, wr_net_loss#79 AS net_loss#90] +Input [8]: [wr_item_sk#76, wr_order_number#77, wr_return_amt#78, wr_net_loss#79, wr_returned_date_sk#80, ws_item_sk#81, ws_web_site_sk#82, ws_order_number#83] -(60) Union +(58) Union -(61) ReusedExchange [Reuses operator id: 104] -Output [1]: [d_date_sk#109] +(59) ReusedExchange [Reuses operator id: 96] +Output [1]: [d_date_sk#91] -(62) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [date_sk#89] -Right keys [1]: [d_date_sk#109] +(60) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [date_sk#71] +Right keys [1]: [d_date_sk#91] Join type: Inner Join condition: None -(63) Project [codegen id : 18] -Output [5]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93] -Input [7]: [wsr_web_site_sk#88, date_sk#89, sales_price#90, profit#91, return_amt#92, net_loss#93, d_date_sk#109] +(61) Project [codegen id : 16] +Output [5]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75] +Input [7]: [wsr_web_site_sk#70, date_sk#71, sales_price#72, profit#73, return_amt#74, net_loss#75, d_date_sk#91] -(64) CometNativeScan parquet spark_catalog.default.web_site -Output [2]: [web_site_sk#110, web_site_id#111] +(62) CometNativeScan parquet spark_catalog.default.web_site +Output [2]: [web_site_sk#92, web_site_id#93] Batched: true Location [not included in comparison]/{warehouse_dir}/web_site] PushedFilters: [IsNotNull(web_site_sk)] ReadSchema: struct -(65) CometFilter -Input [2]: [web_site_sk#110, web_site_id#111] -Condition : isnotnull(web_site_sk#110) +(63) CometFilter +Input [2]: [web_site_sk#92, web_site_id#93] +Condition : isnotnull(web_site_sk#92) -(66) CometProject -Input [2]: [web_site_sk#110, web_site_id#111] -Arguments: [web_site_sk#110, web_site_id#112], [web_site_sk#110, static_invoke(CharVarcharCodegenUtils.readSidePadding(web_site_id#111, 16)) AS web_site_id#112] +(64) CometProject +Input [2]: [web_site_sk#92, web_site_id#93] +Arguments: [web_site_sk#92, web_site_id#94], [web_site_sk#92, static_invoke(CharVarcharCodegenUtils.readSidePadding(web_site_id#93, 16)) AS web_site_id#94] -(67) CometColumnarToRow [codegen id : 17] -Input [2]: [web_site_sk#110, web_site_id#112] +(65) CometColumnarToRow [codegen id : 15] +Input [2]: [web_site_sk#92, web_site_id#94] -(68) BroadcastExchange -Input [2]: [web_site_sk#110, web_site_id#112] +(66) BroadcastExchange +Input [2]: [web_site_sk#92, web_site_id#94] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=6] -(69) BroadcastHashJoin [codegen id : 18] -Left keys [1]: [wsr_web_site_sk#88] -Right keys [1]: [web_site_sk#110] +(67) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [wsr_web_site_sk#70] +Right keys [1]: [web_site_sk#92] Join type: Inner Join condition: None -(70) Project [codegen id : 18] -Output [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Input [7]: [wsr_web_site_sk#88, sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_sk#110, web_site_id#112] - -(71) HashAggregate [codegen id : 18] -Input [5]: [sales_price#90, profit#91, return_amt#92, net_loss#93, web_site_id#112] -Keys [1]: [web_site_id#112] -Functions [4]: [partial_sum(UnscaledValue(sales_price#90)), partial_sum(UnscaledValue(return_amt#92)), partial_sum(UnscaledValue(profit#91)), partial_sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum#113, sum#114, sum#115, sum#116] -Results [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(72) CometColumnarExchange -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Arguments: hashpartitioning(web_site_id#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(73) CometColumnarToRow [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] - -(74) HashAggregate [codegen id : 19] -Input [5]: [web_site_id#112, sum#117, sum#118, sum#119, sum#120] -Keys [1]: [web_site_id#112] -Functions [4]: [sum(UnscaledValue(sales_price#90)), sum(UnscaledValue(return_amt#92)), sum(UnscaledValue(profit#91)), sum(UnscaledValue(net_loss#93))] -Aggregate Attributes [4]: [sum(UnscaledValue(sales_price#90))#121, sum(UnscaledValue(return_amt#92))#122, sum(UnscaledValue(profit#91))#123, sum(UnscaledValue(net_loss#93))#124] -Results [5]: [web channel AS channel#125, concat(web_site, web_site_id#112) AS id#126, MakeDecimal(sum(UnscaledValue(sales_price#90))#121,17,2) AS sales#127, MakeDecimal(sum(UnscaledValue(return_amt#92))#122,17,2) AS returns#128, (MakeDecimal(sum(UnscaledValue(profit#91))#123,17,2) - MakeDecimal(sum(UnscaledValue(net_loss#93))#124,17,2)) AS profit#129] - -(75) Union - -(76) HashAggregate [codegen id : 20] -Input [5]: [channel#38, id#39, sales#40, returns#41, profit#42] -Keys [2]: [channel#38, id#39] -Functions [3]: [partial_sum(sales#40), partial_sum(returns#41), partial_sum(profit#42)] -Aggregate Attributes [6]: [sum#130, isEmpty#131, sum#132, isEmpty#133, sum#134, isEmpty#135] -Results [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(77) CometColumnarExchange -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Arguments: hashpartitioning(channel#38, id#39, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(78) CometColumnarToRow [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] - -(79) HashAggregate [codegen id : 21] -Input [8]: [channel#38, id#39, sum#136, isEmpty#137, sum#138, isEmpty#139, sum#140, isEmpty#141] -Keys [2]: [channel#38, id#39] -Functions [3]: [sum(sales#40), sum(returns#41), sum(profit#42)] -Aggregate Attributes [3]: [sum(sales#40)#142, sum(returns#41)#143, sum(profit#42)#144] -Results [5]: [channel#38, id#39, cast(sum(sales#40)#142 as decimal(37,2)) AS sales#145, cast(sum(returns#41)#143 as decimal(37,2)) AS returns#146, cast(sum(profit#42)#144 as decimal(38,2)) AS profit#147] - -(80) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#148, id#149, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155] - -(81) CometColumnarToRow [codegen id : 42] -Input [8]: [channel#148, id#149, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155] - -(82) HashAggregate [codegen id : 42] -Input [8]: [channel#148, id#149, sum#150, isEmpty#151, sum#152, isEmpty#153, sum#154, isEmpty#155] -Keys [2]: [channel#148, id#149] -Functions [3]: [sum(sales#156), sum(returns#157), sum(profit#158)] -Aggregate Attributes [3]: [sum(sales#156)#142, sum(returns#157)#143, sum(profit#158)#144] -Results [4]: [channel#148, sum(sales#156)#142 AS sales#159, sum(returns#157)#143 AS returns#160, sum(profit#158)#144 AS profit#161] - -(83) HashAggregate [codegen id : 42] -Input [4]: [channel#148, sales#159, returns#160, profit#161] -Keys [1]: [channel#148] -Functions [3]: [partial_sum(sales#159), partial_sum(returns#160), partial_sum(profit#161)] -Aggregate Attributes [6]: [sum#162, isEmpty#163, sum#164, isEmpty#165, sum#166, isEmpty#167] -Results [7]: [channel#148, sum#168, isEmpty#169, sum#170, isEmpty#171, sum#172, isEmpty#173] - -(84) CometColumnarExchange -Input [7]: [channel#148, sum#168, isEmpty#169, sum#170, isEmpty#171, sum#172, isEmpty#173] -Arguments: hashpartitioning(channel#148, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(85) CometColumnarToRow [codegen id : 43] -Input [7]: [channel#148, sum#168, isEmpty#169, sum#170, isEmpty#171, sum#172, isEmpty#173] - -(86) HashAggregate [codegen id : 43] -Input [7]: [channel#148, sum#168, isEmpty#169, sum#170, isEmpty#171, sum#172, isEmpty#173] -Keys [1]: [channel#148] -Functions [3]: [sum(sales#159), sum(returns#160), sum(profit#161)] -Aggregate Attributes [3]: [sum(sales#159)#174, sum(returns#160)#175, sum(profit#161)#176] -Results [5]: [channel#148, null AS id#177, sum(sales#159)#174 AS sum(sales)#178, sum(returns#160)#175 AS sum(returns)#179, sum(profit#161)#176 AS sum(profit)#180] - -(87) ReusedExchange [Reuses operator id: 77] -Output [8]: [channel#181, id#182, sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188] - -(88) CometColumnarToRow [codegen id : 64] -Input [8]: [channel#181, id#182, sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188] - -(89) HashAggregate [codegen id : 64] -Input [8]: [channel#181, id#182, sum#183, isEmpty#184, sum#185, isEmpty#186, sum#187, isEmpty#188] -Keys [2]: [channel#181, id#182] -Functions [3]: [sum(sales#189), sum(returns#190), sum(profit#191)] -Aggregate Attributes [3]: [sum(sales#189)#142, sum(returns#190)#143, sum(profit#191)#144] -Results [3]: [sum(sales#189)#142 AS sales#192, sum(returns#190)#143 AS returns#193, sum(profit#191)#144 AS profit#194] - -(90) HashAggregate [codegen id : 64] -Input [3]: [sales#192, returns#193, profit#194] +(68) Project [codegen id : 16] +Output [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Input [7]: [wsr_web_site_sk#70, sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_sk#92, web_site_id#94] + +(69) HashAggregate [codegen id : 16] +Input [5]: [sales_price#72, profit#73, return_amt#74, net_loss#75, web_site_id#94] +Keys [1]: [web_site_id#94] +Functions [4]: [partial_sum(UnscaledValue(sales_price#72)), partial_sum(UnscaledValue(return_amt#74)), partial_sum(UnscaledValue(profit#73)), partial_sum(UnscaledValue(net_loss#75))] +Aggregate Attributes [4]: [sum#95, sum#96, sum#97, sum#98] +Results [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] + +(70) CometColumnarExchange +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Arguments: hashpartitioning(web_site_id#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] + +(71) CometHashAggregate +Input [5]: [web_site_id#94, sum#99, sum#100, sum#101, sum#102] +Keys [1]: [web_site_id#94] +Functions [4]: [sum(UnscaledValue(sales_price#72)), sum(UnscaledValue(return_amt#74)), sum(UnscaledValue(profit#73)), sum(UnscaledValue(net_loss#75))] + +(72) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Child 1 Input [5]: [channel#108, id#109, sales#110, returns#111, profit#112] +Child 2 Input [5]: [channel#113, id#114, sales#115, returns#116, profit#117] + +(73) CometHashAggregate +Input [5]: [channel#103, id#104, sales#105, returns#106, profit#107] +Keys [2]: [channel#103, id#104] +Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] + +(74) CometExchange +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Arguments: hashpartitioning(channel#103, id#104, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(75) CometHashAggregate +Input [8]: [channel#103, id#104, sum#118, isEmpty#119, sum#120, isEmpty#121, sum#122, isEmpty#123] +Keys [2]: [channel#103, id#104] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(76) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#124, id#125, sum#126, isEmpty#127, sum#128, isEmpty#129, sum#130, isEmpty#131] + +(77) CometHashAggregate +Input [8]: [channel#124, id#125, sum#126, isEmpty#127, sum#128, isEmpty#129, sum#130, isEmpty#131] +Keys [2]: [channel#124, id#125] +Functions [3]: [sum(sales#132), sum(returns#133), sum(profit#134)] + +(78) CometHashAggregate +Input [4]: [channel#124, sales#135, returns#136, profit#137] +Keys [1]: [channel#124] +Functions [3]: [partial_sum(sales#135), partial_sum(returns#136), partial_sum(profit#137)] + +(79) CometExchange +Input [7]: [channel#124, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143] +Arguments: hashpartitioning(channel#124, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(80) CometHashAggregate +Input [7]: [channel#124, sum#138, isEmpty#139, sum#140, isEmpty#141, sum#142, isEmpty#143] +Keys [1]: [channel#124] +Functions [3]: [sum(sales#135), sum(returns#136), sum(profit#137)] + +(81) ReusedExchange [Reuses operator id: 74] +Output [8]: [channel#144, id#145, sum#146, isEmpty#147, sum#148, isEmpty#149, sum#150, isEmpty#151] + +(82) CometHashAggregate +Input [8]: [channel#144, id#145, sum#146, isEmpty#147, sum#148, isEmpty#149, sum#150, isEmpty#151] +Keys [2]: [channel#144, id#145] +Functions [3]: [sum(sales#152), sum(returns#153), sum(profit#154)] + +(83) CometHashAggregate +Input [3]: [sales#155, returns#156, profit#157] Keys: [] -Functions [3]: [partial_sum(sales#192), partial_sum(returns#193), partial_sum(profit#194)] -Aggregate Attributes [6]: [sum#195, isEmpty#196, sum#197, isEmpty#198, sum#199, isEmpty#200] -Results [6]: [sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206] - -(91) CometColumnarExchange -Input [6]: [sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +Functions [3]: [partial_sum(sales#155), partial_sum(returns#156), partial_sum(profit#157)] -(92) CometColumnarToRow [codegen id : 65] -Input [6]: [sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206] +(84) CometExchange +Input [6]: [sum#158, isEmpty#159, sum#160, isEmpty#161, sum#162, isEmpty#163] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(93) HashAggregate [codegen id : 65] -Input [6]: [sum#201, isEmpty#202, sum#203, isEmpty#204, sum#205, isEmpty#206] +(85) CometHashAggregate +Input [6]: [sum#158, isEmpty#159, sum#160, isEmpty#161, sum#162, isEmpty#163] Keys: [] -Functions [3]: [sum(sales#192), sum(returns#193), sum(profit#194)] -Aggregate Attributes [3]: [sum(sales#192)#207, sum(returns#193)#208, sum(profit#194)#209] -Results [5]: [null AS channel#210, null AS id#211, sum(sales#192)#207 AS sum(sales)#212, sum(returns#193)#208 AS sum(returns)#213, sum(profit#194)#209 AS sum(profit)#214] +Functions [3]: [sum(sales#155), sum(returns#156), sum(profit#157)] -(94) Union +(86) CometUnion +Child 0 Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] +Child 1 Input [5]: [channel#124, id#167, sum(sales)#168, sum(returns)#169, sum(profit)#170] +Child 2 Input [5]: [channel#171, id#172, sum(sales)#173, sum(returns)#174, sum(profit)#175] -(95) HashAggregate [codegen id : 66] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(87) CometHashAggregate +Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] +Keys [5]: [channel#103, id#104, sales#164, returns#165, profit#166] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -(96) CometColumnarExchange -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: hashpartitioning(channel#38, id#39, sales#145, returns#146, profit#147, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(88) CometExchange +Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] +Arguments: hashpartitioning(channel#103, id#104, sales#164, returns#165, profit#166, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(97) CometHashAggregate -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Keys [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(89) CometHashAggregate +Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] +Keys [5]: [channel#103, id#104, sales#164, returns#165, profit#166] Functions: [] -(98) CometTakeOrderedAndProject -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#38 ASC NULLS FIRST,id#39 ASC NULLS FIRST], output=[channel#38,id#39,sales#145,returns#146,profit#147]), [channel#38, id#39, sales#145, returns#146, profit#147], 100, 0, [channel#38 ASC NULLS FIRST, id#39 ASC NULLS FIRST], [channel#38, id#39, sales#145, returns#146, profit#147] +(90) CometTakeOrderedAndProject +Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#103 ASC NULLS FIRST,id#104 ASC NULLS FIRST], output=[channel#103,id#104,sales#164,returns#165,profit#166]), [channel#103, id#104, sales#164, returns#165, profit#166], 100, 0, [channel#103 ASC NULLS FIRST, id#104 ASC NULLS FIRST], [channel#103, id#104, sales#164, returns#165, profit#166] -(99) CometColumnarToRow [codegen id : 67] -Input [5]: [channel#38, id#39, sales#145, returns#146, profit#147] +(91) CometColumnarToRow [codegen id : 49] +Input [5]: [channel#103, id#104, sales#164, returns#165, profit#166] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (104) -+- * CometColumnarToRow (103) - +- CometProject (102) - +- CometFilter (101) - +- CometNativeScan parquet spark_catalog.default.date_dim (100) +BroadcastExchange (96) ++- * CometColumnarToRow (95) + +- CometProject (94) + +- CometFilter (93) + +- CometNativeScan parquet spark_catalog.default.date_dim (92) -(100) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#22, d_date#215] +(92) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#22, d_date#176] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-08-18), IsNotNull(d_date_sk)] ReadSchema: struct -(101) CometFilter -Input [2]: [d_date_sk#22, d_date#215] -Condition : (((isnotnull(d_date#215) AND (d_date#215 >= 1998-08-04)) AND (d_date#215 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) +(93) CometFilter +Input [2]: [d_date_sk#22, d_date#176] +Condition : (((isnotnull(d_date#176) AND (d_date#176 >= 1998-08-04)) AND (d_date#176 <= 1998-08-18)) AND isnotnull(d_date_sk#22)) -(102) CometProject -Input [2]: [d_date_sk#22, d_date#215] +(94) CometProject +Input [2]: [d_date_sk#22, d_date#176] Arguments: [d_date_sk#22], [d_date_sk#22] -(103) CometColumnarToRow [codegen id : 1] +(95) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#22] -(104) BroadcastExchange +(96) BroadcastExchange Input [1]: [d_date_sk#22] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] Subquery:2 Hosting operator id = 5 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 24 Hosting Expression = cs_sold_date_sk#46 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 23 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 28 Hosting Expression = cr_returned_date_sk#56 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 27 Hosting Expression = cr_returned_date_sk#47 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 47 Hosting Expression = ws_sold_date_sk#87 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 45 Hosting Expression = ws_sold_date_sk#69 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 51 Hosting Expression = wr_returned_date_sk#98 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 49 Hosting Expression = wr_returned_date_sk#80 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/extended.txt index 63ea8e5ea8..d68ed89364 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/extended.txt @@ -1,322 +1,308 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Union - : : : : :- Project - : : : : : +- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- ReusedSubquery - : : : : +- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.catalog_page - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- BroadcastExchange - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.web_sales - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_site - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Union - : : : :- Project - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometUnion + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Union + : : : : :- Project + : : : : : +- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- ReusedSubquery + : : : : +- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.catalog_page + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- BroadcastExchange + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.web_sales + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_site + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Union + : : : :- Project + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.catalog_page + +- CometHashAggregate + +- CometColumnarExchange +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Union - : : :- Project - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- Project - : : +- BroadcastHashJoin - : : :- BroadcastExchange - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_sales - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_site + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Union + : : :- Project + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- Project + : : +- BroadcastHashJoin + : : :- BroadcastExchange + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_sales + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_site -Comet accelerated 89 out of 263 eligible operators (33%). Final plan contains 57 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 113 out of 263 eligible operators (42%). Final plan contains 43 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/simplified.txt index dc9c9b1ce7..232b0a1fb3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q5a.native_datafusion/simplified.txt @@ -1,167 +1,139 @@ -WholeStageCodegen (67) +WholeStageCodegen (49) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (66) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (21) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (20) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [s_store_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_id] #3 - WholeStageCodegen (5) - HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,s_store_id] - BroadcastHashJoin [store_sk,s_store_sk] - Project [store_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (1) - Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - WholeStageCodegen (2) - Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (4) + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel,id] #2 + CometHashAggregate [sales,returns,profit] [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,s_store_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [s_store_id] #3 + WholeStageCodegen (5) + HashAggregate [s_store_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,s_store_id] + BroadcastHashJoin [store_sk,s_store_sk] + Project [store_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (1) + Project [ss_store_sk,ss_sold_date_sk,ss_ext_sales_price,ss_net_profit] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) CometColumnarToRow InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] - WholeStageCodegen (12) - HashAggregate [cp_catalog_page_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + WholeStageCodegen (2) + Project [sr_store_sk,sr_returned_date_sk,sr_return_amt,sr_net_loss] + Filter [sr_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (4) CometColumnarToRow InputAdapter - CometColumnarExchange [cp_catalog_page_id] #6 - WholeStageCodegen (11) - HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] - BroadcastHashJoin [page_sk,cp_catalog_page_sk] - Project [page_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (7) - Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] - Filter [cs_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (8) - Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] - Filter [cr_catalog_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #7 - WholeStageCodegen (10) - CometColumnarToRow - InputAdapter - CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] - CometFilter [cp_catalog_page_sk,cp_catalog_page_id] - CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] - WholeStageCodegen (19) - HashAggregate [web_site_id,sum,sum,sum,sum] [sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss)),channel,id,sales,returns,profit,sum,sum,sum,sum] + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,cp_catalog_page_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [cp_catalog_page_id] #6 + WholeStageCodegen (10) + HashAggregate [cp_catalog_page_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,cp_catalog_page_id] + BroadcastHashJoin [page_sk,cp_catalog_page_sk] + Project [page_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (6) + Project [cs_catalog_page_sk,cs_sold_date_sk,cs_ext_sales_price,cs_net_profit] + Filter [cs_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_catalog_page_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (7) + Project [cr_catalog_page_sk,cr_returned_date_sk,cr_return_amount,cr_net_loss] + Filter [cr_catalog_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_catalog_page_sk,cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #7 + WholeStageCodegen (9) CometColumnarToRow InputAdapter - CometColumnarExchange [web_site_id] #8 - WholeStageCodegen (18) - HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] - Project [sales_price,profit,return_amt,net_loss,web_site_id] - BroadcastHashJoin [wsr_web_site_sk,web_site_sk] - Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] - BroadcastHashJoin [date_sk,d_date_sk] - InputAdapter - Union - WholeStageCodegen (13) - Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] - Filter [ws_web_site_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - WholeStageCodegen (15) - Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (14) - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - CometColumnarToRow - InputAdapter - CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] - CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (17) - CometColumnarToRow - InputAdapter - CometProject [web_site_id] [web_site_sk,web_site_id] - CometFilter [web_site_sk,web_site_id] - CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] - WholeStageCodegen (43) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #11 - WholeStageCodegen (42) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (65) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sum(sales),sum(returns),sum(profit),sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #12 - WholeStageCodegen (64) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometProject [cp_catalog_page_id] [cp_catalog_page_sk,cp_catalog_page_id] + CometFilter [cp_catalog_page_sk,cp_catalog_page_id] + CometNativeScan parquet spark_catalog.default.catalog_page [cp_catalog_page_sk,cp_catalog_page_id] + CometHashAggregate [sum,sum,sum,sum] [channel,id,sales,returns,profit,web_site_id,sum(UnscaledValue(sales_price)),sum(UnscaledValue(return_amt)),sum(UnscaledValue(profit)),sum(UnscaledValue(net_loss))] + CometColumnarExchange [web_site_id] #8 + WholeStageCodegen (16) + HashAggregate [web_site_id,sales_price,return_amt,profit,net_loss] [sum,sum,sum,sum,sum,sum,sum,sum] + Project [sales_price,profit,return_amt,net_loss,web_site_id] + BroadcastHashJoin [wsr_web_site_sk,web_site_sk] + Project [wsr_web_site_sk,sales_price,profit,return_amt,net_loss] + BroadcastHashJoin [date_sk,d_date_sk] + InputAdapter + Union + WholeStageCodegen (11) + Project [ws_web_site_sk,ws_sold_date_sk,ws_ext_sales_price,ws_net_profit] + Filter [ws_web_site_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_site_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + WholeStageCodegen (13) + Project [ws_web_site_sk,wr_returned_date_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_item_sk,wr_order_number,ws_item_sk,ws_order_number] + InputAdapter + BroadcastExchange #9 + WholeStageCodegen (12) + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_item_sk,wr_order_number,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + CometColumnarToRow + InputAdapter + CometProject [ws_item_sk,ws_web_site_sk,ws_order_number] + CometFilter [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + CometNativeScan parquet spark_catalog.default.web_sales [ws_item_sk,ws_web_site_sk,ws_order_number,ws_sold_date_sk] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #10 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometProject [web_site_id] [web_site_sk,web_site_id] + CometFilter [web_site_sk,web_site_id] + CometNativeScan parquet spark_catalog.default.web_site [web_site_sk,web_site_id] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #11 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sum(sales),sum(returns),sum(profit),sum(sales),sum(returns),sum(profit)] + CometExchange #12 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/explain.txt index 8c97a06a14..ea34689593 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/explain.txt @@ -1,8 +1,8 @@ == Physical Plan == -TakeOrderedAndProject (40) -+- * Filter (39) - +- * HashAggregate (38) - +- * CometColumnarToRow (37) +* CometColumnarToRow (40) ++- CometTakeOrderedAndProject (39) + +- CometFilter (38) + +- CometHashAggregate (37) +- CometColumnarExchange (36) +- * HashAggregate (35) +- * Project (34) @@ -209,23 +209,21 @@ Results [2]: [ca_state#3, count#21] Input [2]: [ca_state#3, count#21] Arguments: hashpartitioning(ca_state#3, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(37) CometColumnarToRow [codegen id : 5] -Input [2]: [ca_state#3, count#21] - -(38) HashAggregate [codegen id : 5] +(37) CometHashAggregate Input [2]: [ca_state#3, count#21] Keys [1]: [ca_state#3] Functions [1]: [count(1)] -Aggregate Attributes [1]: [count(1)#22] -Results [2]: [ca_state#3 AS state#23, count(1)#22 AS cnt#24] -(39) Filter [codegen id : 5] -Input [2]: [state#23, cnt#24] -Condition : (cnt#24 >= 10) +(38) CometFilter +Input [2]: [state#22, cnt#23] +Condition : (cnt#23 >= 10) + +(39) CometTakeOrderedAndProject +Input [2]: [state#22, cnt#23] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[cnt#23 ASC NULLS FIRST,state#22 ASC NULLS FIRST], output=[state#22,cnt#23]), [state#22, cnt#23], 100, 0, [cnt#23 ASC NULLS FIRST, state#22 ASC NULLS FIRST], [state#22, cnt#23] -(40) TakeOrderedAndProject -Input [2]: [state#23, cnt#24] -Arguments: 100, [cnt#24 ASC NULLS FIRST, state#23 ASC NULLS FIRST], [state#23, cnt#24] +(40) CometColumnarToRow [codegen id : 5] +Input [2]: [state#22, cnt#23] ===== Subqueries ===== @@ -238,18 +236,18 @@ BroadcastExchange (45) (41) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#10, d_month_seq#25] +Output [2]: [d_date_sk#10, d_month_seq#24] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] -PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#26), IsNotNull(d_date_sk)] +PushedFilters: [IsNotNull(d_month_seq), EqualTo(d_month_seq,ScalarSubquery#25), IsNotNull(d_date_sk)] ReadSchema: struct (42) CometFilter -Input [2]: [d_date_sk#10, d_month_seq#25] -Condition : ((isnotnull(d_month_seq#25) AND (d_month_seq#25 = ReusedSubquery Subquery scalar-subquery#26, [id=#27])) AND isnotnull(d_date_sk#10)) +Input [2]: [d_date_sk#10, d_month_seq#24] +Condition : ((isnotnull(d_month_seq#24) AND (d_month_seq#24 = ReusedSubquery Subquery scalar-subquery#25, [id=#26])) AND isnotnull(d_date_sk#10)) (43) CometProject -Input [2]: [d_date_sk#10, d_month_seq#25] +Input [2]: [d_date_sk#10, d_month_seq#24] Arguments: [d_date_sk#10], [d_date_sk#10] (44) CometColumnarToRow [codegen id : 1] @@ -259,9 +257,9 @@ Input [1]: [d_date_sk#10] Input [1]: [d_date_sk#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] -Subquery:2 Hosting operator id = 42 Hosting Expression = ReusedSubquery Subquery scalar-subquery#26, [id=#27] +Subquery:2 Hosting operator id = 42 Hosting Expression = ReusedSubquery Subquery scalar-subquery#25, [id=#26] -Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquery#26, [id=#27] +Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquery#25, [id=#26] * CometColumnarToRow (52) +- CometHashAggregate (51) +- CometExchange (50) @@ -272,35 +270,35 @@ Subquery:3 Hosting operator id = 41 Hosting Expression = Subquery scalar-subquer (46) CometNativeScan parquet spark_catalog.default.date_dim -Output [3]: [d_month_seq#28, d_year#29, d_moy#30] +Output [3]: [d_month_seq#27, d_year#28, d_moy#29] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), IsNotNull(d_moy), EqualTo(d_year,2000), EqualTo(d_moy,1)] ReadSchema: struct (47) CometFilter -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Condition : (((isnotnull(d_year#29) AND isnotnull(d_moy#30)) AND (d_year#29 = 2000)) AND (d_moy#30 = 1)) +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Condition : (((isnotnull(d_year#28) AND isnotnull(d_moy#29)) AND (d_year#28 = 2000)) AND (d_moy#29 = 1)) (48) CometProject -Input [3]: [d_month_seq#28, d_year#29, d_moy#30] -Arguments: [d_month_seq#28], [d_month_seq#28] +Input [3]: [d_month_seq#27, d_year#28, d_moy#29] +Arguments: [d_month_seq#27], [d_month_seq#27] (49) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (50) CometExchange -Input [1]: [d_month_seq#28] -Arguments: hashpartitioning(d_month_seq#28, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +Input [1]: [d_month_seq#27] +Arguments: hashpartitioning(d_month_seq#27, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] (51) CometHashAggregate -Input [1]: [d_month_seq#28] -Keys [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] +Keys [1]: [d_month_seq#27] Functions: [] (52) CometColumnarToRow [codegen id : 1] -Input [1]: [d_month_seq#28] +Input [1]: [d_month_seq#27] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/extended.txt index ee120ac920..7b3bb445c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/extended.txt @@ -1,7 +1,7 @@ -TakeOrderedAndProject -+- Filter - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometFilter + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -67,4 +67,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 39 out of 60 eligible operators (65%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 42 out of 60 eligible operators (70%). Final plan contains 8 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/simplified.txt index 6b96848c69..1af5d36a20 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q6.native_datafusion/simplified.txt @@ -1,9 +1,9 @@ -TakeOrderedAndProject [cnt,state] - WholeStageCodegen (5) - Filter [cnt] - HashAggregate [ca_state,count] [count(1),state,cnt,count] - CometColumnarToRow - InputAdapter +WholeStageCodegen (5) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [state,cnt] + CometFilter [state,cnt] + CometHashAggregate [count] [state,cnt,ca_state,count(1)] CometColumnarExchange [ca_state] #1 WholeStageCodegen (4) HashAggregate [ca_state] [count,count] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/explain.txt index 5af8806175..0d165806d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/explain.txt @@ -1,94 +1,78 @@ == Physical Plan == -TakeOrderedAndProject (90) -+- * Filter (89) - +- Window (88) - +- WindowGroupLimit (87) - +- * CometColumnarToRow (86) - +- CometSort (85) - +- CometColumnarExchange (84) - +- WindowGroupLimit (83) - +- * Sort (82) - +- Union (81) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * Project (20) - : +- * BroadcastHashJoin Inner BuildRight (19) - : :- * Project (13) - : : +- * BroadcastHashJoin Inner BuildRight (12) - : : :- * Project (6) - : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : :- * Filter (3) - : : : : +- * ColumnarToRow (2) - : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : +- ReusedExchange (4) - : : +- BroadcastExchange (11) - : : +- * CometColumnarToRow (10) - : : +- CometProject (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (18) - : +- * CometColumnarToRow (17) - : +- CometProject (16) - : +- CometFilter (15) - : +- CometNativeScan parquet spark_catalog.default.item (14) - :- * HashAggregate (31) - : +- * CometColumnarToRow (30) - : +- CometColumnarExchange (29) - : +- * HashAggregate (28) - : +- * HashAggregate (27) - : +- * CometColumnarToRow (26) - : +- ReusedExchange (25) - :- * HashAggregate (38) - : +- * CometColumnarToRow (37) - : +- CometColumnarExchange (36) - : +- * HashAggregate (35) - : +- * HashAggregate (34) - : +- * CometColumnarToRow (33) - : +- ReusedExchange (32) - :- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- CometColumnarExchange (43) - : +- * HashAggregate (42) - : +- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- ReusedExchange (39) - :- * HashAggregate (52) - : +- * CometColumnarToRow (51) - : +- CometColumnarExchange (50) - : +- * HashAggregate (49) - : +- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- ReusedExchange (46) - :- * HashAggregate (59) - : +- * CometColumnarToRow (58) - : +- CometColumnarExchange (57) - : +- * HashAggregate (56) - : +- * HashAggregate (55) - : +- * CometColumnarToRow (54) - : +- ReusedExchange (53) - :- * HashAggregate (66) - : +- * CometColumnarToRow (65) - : +- CometColumnarExchange (64) - : +- * HashAggregate (63) - : +- * HashAggregate (62) - : +- * CometColumnarToRow (61) - : +- ReusedExchange (60) - :- * HashAggregate (73) - : +- * CometColumnarToRow (72) - : +- CometColumnarExchange (71) - : +- * HashAggregate (70) - : +- * HashAggregate (69) - : +- * CometColumnarToRow (68) - : +- ReusedExchange (67) - +- * HashAggregate (80) - +- * CometColumnarToRow (79) - +- CometColumnarExchange (78) - +- * HashAggregate (77) - +- * HashAggregate (76) - +- * CometColumnarToRow (75) - +- ReusedExchange (74) +TakeOrderedAndProject (74) ++- * Filter (73) + +- Window (72) + +- WindowGroupLimit (71) + +- * CometColumnarToRow (70) + +- CometSort (69) + +- CometColumnarExchange (68) + +- WindowGroupLimit (67) + +- * CometColumnarToRow (66) + +- CometSort (65) + +- CometUnion (64) + :- CometHashAggregate (23) + : +- CometColumnarExchange (22) + : +- * HashAggregate (21) + : +- * Project (20) + : +- * BroadcastHashJoin Inner BuildRight (19) + : :- * Project (13) + : : +- * BroadcastHashJoin Inner BuildRight (12) + : : :- * Project (6) + : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : :- * Filter (3) + : : : : +- * ColumnarToRow (2) + : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : +- ReusedExchange (4) + : : +- BroadcastExchange (11) + : : +- * CometColumnarToRow (10) + : : +- CometProject (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (18) + : +- * CometColumnarToRow (17) + : +- CometProject (16) + : +- CometFilter (15) + : +- CometNativeScan parquet spark_catalog.default.item (14) + :- CometHashAggregate (28) + : +- CometExchange (27) + : +- CometHashAggregate (26) + : +- CometHashAggregate (25) + : +- ReusedExchange (24) + :- CometHashAggregate (33) + : +- CometExchange (32) + : +- CometHashAggregate (31) + : +- CometHashAggregate (30) + : +- ReusedExchange (29) + :- CometHashAggregate (38) + : +- CometExchange (37) + : +- CometHashAggregate (36) + : +- CometHashAggregate (35) + : +- ReusedExchange (34) + :- CometHashAggregate (43) + : +- CometExchange (42) + : +- CometHashAggregate (41) + : +- CometHashAggregate (40) + : +- ReusedExchange (39) + :- CometHashAggregate (48) + : +- CometExchange (47) + : +- CometHashAggregate (46) + : +- CometHashAggregate (45) + : +- ReusedExchange (44) + :- CometHashAggregate (53) + : +- CometExchange (52) + : +- CometHashAggregate (51) + : +- CometHashAggregate (50) + : +- ReusedExchange (49) + :- CometHashAggregate (58) + : +- CometExchange (57) + : +- CometHashAggregate (56) + : +- CometHashAggregate (55) + : +- ReusedExchange (54) + +- CometHashAggregate (63) + +- CometExchange (62) + +- CometHashAggregate (61) + +- CometHashAggregate (60) + +- ReusedExchange (59) (1) Scan parquet spark_catalog.default.store_sales @@ -106,7 +90,7 @@ Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sol Input [5]: [ss_item_sk#1, ss_store_sk#2, ss_quantity#3, ss_sales_price#4, ss_sold_date_sk#5] Condition : (isnotnull(ss_store_sk#2) AND isnotnull(ss_item_sk#1)) -(4) ReusedExchange [Reuses operator id: 95] +(4) ReusedExchange [Reuses operator id: 79] Output [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] (5) BroadcastHashJoin [codegen id : 4] @@ -194,354 +178,265 @@ Results [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year# Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Arguments: hashpartitioning(i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 5] -Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] - -(24) HashAggregate [codegen id : 5] +(23) CometHashAggregate Input [10]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13, sum#25, isEmpty#26] Keys [8]: [i_category#21, i_class#20, i_brand#19, i_product_name#22, d_year#8, d_qoy#10, d_moy#9, s_store_id#13] Functions [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27] -Results [9]: [i_category#21 AS i_category#28, i_class#20 AS i_class#29, i_brand#19 AS i_brand#30, i_product_name#22 AS i_product_name#31, d_year#8 AS d_year#32, d_qoy#10 AS d_qoy#33, d_moy#9 AS d_moy#34, s_store_id#13 AS s_store_id#35, cast(sum(coalesce((ss_sales_price#4 * cast(ss_quantity#3 as decimal(10,0))), 0.00))#27 as decimal(38,2)) AS sumsales#36] - -(25) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, s_store_id#44, sum#45, isEmpty#46] - -(26) CometColumnarToRow [codegen id : 10] -Input [10]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, s_store_id#44, sum#45, isEmpty#46] - -(27) HashAggregate [codegen id : 10] -Input [10]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, s_store_id#44, sum#45, isEmpty#46] -Keys [8]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, s_store_id#44] -Functions [1]: [sum(coalesce((ss_sales_price#47 * cast(ss_quantity#48 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#47 * cast(ss_quantity#48 as decimal(10,0))), 0.00))#27] -Results [8]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sum(coalesce((ss_sales_price#47 * cast(ss_quantity#48 as decimal(10,0))), 0.00))#27 AS sumsales#49] - -(28) HashAggregate [codegen id : 10] -Input [8]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sumsales#49] -Keys [7]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43] -Functions [1]: [partial_sum(sumsales#49)] -Aggregate Attributes [2]: [sum#50, isEmpty#51] -Results [9]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sum#52, isEmpty#53] - -(29) CometColumnarExchange -Input [9]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sum#52, isEmpty#53] -Arguments: hashpartitioning(i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(30) CometColumnarToRow [codegen id : 11] -Input [9]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sum#52, isEmpty#53] - -(31) HashAggregate [codegen id : 11] -Input [9]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, sum#52, isEmpty#53] -Keys [7]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43] -Functions [1]: [sum(sumsales#49)] -Aggregate Attributes [1]: [sum(sumsales#49)#54] -Results [9]: [i_category#37, i_class#38, i_brand#39, i_product_name#40, d_year#41, d_qoy#42, d_moy#43, null AS s_store_id#55, sum(sumsales#49)#54 AS sumsales#56] - -(32) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, d_moy#63, s_store_id#64, sum#65, isEmpty#66] -(33) CometColumnarToRow [codegen id : 16] -Input [10]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, d_moy#63, s_store_id#64, sum#65, isEmpty#66] +(24) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, s_store_id#34, sum#35, isEmpty#36] + +(25) CometHashAggregate +Input [10]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, s_store_id#34, sum#35, isEmpty#36] +Keys [8]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, s_store_id#34] +Functions [1]: [sum(coalesce((ss_sales_price#37 * cast(ss_quantity#38 as decimal(10,0))), 0.00))] + +(26) CometHashAggregate +Input [8]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, sumsales#39] +Keys [7]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33] +Functions [1]: [partial_sum(sumsales#39)] + +(27) CometExchange +Input [9]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, sum#40, isEmpty#41] +Arguments: hashpartitioning(i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] + +(28) CometHashAggregate +Input [9]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, sum#40, isEmpty#41] +Keys [7]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33] +Functions [1]: [sum(sumsales#39)] + +(29) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, d_moy#48, s_store_id#49, sum#50, isEmpty#51] -(34) HashAggregate [codegen id : 16] +(30) CometHashAggregate +Input [10]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, d_moy#48, s_store_id#49, sum#50, isEmpty#51] +Keys [8]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, d_moy#48, s_store_id#49] +Functions [1]: [sum(coalesce((ss_sales_price#52 * cast(ss_quantity#53 as decimal(10,0))), 0.00))] + +(31) CometHashAggregate +Input [7]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, sumsales#54] +Keys [6]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47] +Functions [1]: [partial_sum(sumsales#54)] + +(32) CometExchange +Input [8]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, sum#55, isEmpty#56] +Arguments: hashpartitioning(i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] + +(33) CometHashAggregate +Input [8]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, sum#55, isEmpty#56] +Keys [6]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47] +Functions [1]: [sum(sumsales#54)] + +(34) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, d_moy#63, s_store_id#64, sum#65, isEmpty#66] + +(35) CometHashAggregate Input [10]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, d_moy#63, s_store_id#64, sum#65, isEmpty#66] Keys [8]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, d_moy#63, s_store_id#64] Functions [1]: [sum(coalesce((ss_sales_price#67 * cast(ss_quantity#68 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#67 * cast(ss_quantity#68 as decimal(10,0))), 0.00))#27] -Results [7]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sum(coalesce((ss_sales_price#67 * cast(ss_quantity#68 as decimal(10,0))), 0.00))#27 AS sumsales#69] -(35) HashAggregate [codegen id : 16] -Input [7]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sumsales#69] -Keys [6]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62] +(36) CometHashAggregate +Input [6]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, sumsales#69] +Keys [5]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61] Functions [1]: [partial_sum(sumsales#69)] -Aggregate Attributes [2]: [sum#70, isEmpty#71] -Results [8]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sum#72, isEmpty#73] - -(36) CometColumnarExchange -Input [8]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sum#72, isEmpty#73] -Arguments: hashpartitioning(i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(37) CometColumnarToRow [codegen id : 17] -Input [8]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sum#72, isEmpty#73] +(37) CometExchange +Input [7]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, sum#70, isEmpty#71] +Arguments: hashpartitioning(i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(38) HashAggregate [codegen id : 17] -Input [8]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, sum#72, isEmpty#73] -Keys [6]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62] +(38) CometHashAggregate +Input [7]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, sum#70, isEmpty#71] +Keys [5]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61] Functions [1]: [sum(sumsales#69)] -Aggregate Attributes [1]: [sum(sumsales#69)#74] -Results [9]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#62, null AS d_moy#75, null AS s_store_id#76, sum(sumsales#69)#74 AS sumsales#77] (39) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, d_qoy#83, d_moy#84, s_store_id#85, sum#86, isEmpty#87] - -(40) CometColumnarToRow [codegen id : 22] -Input [10]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, d_qoy#83, d_moy#84, s_store_id#85, sum#86, isEmpty#87] - -(41) HashAggregate [codegen id : 22] -Input [10]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, d_qoy#83, d_moy#84, s_store_id#85, sum#86, isEmpty#87] -Keys [8]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, d_qoy#83, d_moy#84, s_store_id#85] -Functions [1]: [sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))#27] -Results [6]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sum(coalesce((ss_sales_price#88 * cast(ss_quantity#89 as decimal(10,0))), 0.00))#27 AS sumsales#90] - -(42) HashAggregate [codegen id : 22] -Input [6]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sumsales#90] -Keys [5]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82] -Functions [1]: [partial_sum(sumsales#90)] -Aggregate Attributes [2]: [sum#91, isEmpty#92] -Results [7]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sum#93, isEmpty#94] - -(43) CometColumnarExchange -Input [7]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sum#93, isEmpty#94] -Arguments: hashpartitioning(i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(44) CometColumnarToRow [codegen id : 23] -Input [7]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sum#93, isEmpty#94] - -(45) HashAggregate [codegen id : 23] -Input [7]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, sum#93, isEmpty#94] -Keys [5]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82] -Functions [1]: [sum(sumsales#90)] -Aggregate Attributes [1]: [sum(sumsales#90)#95] -Results [9]: [i_category#78, i_class#79, i_brand#80, i_product_name#81, d_year#82, null AS d_qoy#96, null AS d_moy#97, null AS s_store_id#98, sum(sumsales#90)#95 AS sumsales#99] - -(46) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sum#108, isEmpty#109] - -(47) CometColumnarToRow [codegen id : 28] -Input [10]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sum#108, isEmpty#109] - -(48) HashAggregate [codegen id : 28] -Input [10]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107, sum#108, isEmpty#109] -Keys [8]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, d_year#104, d_qoy#105, d_moy#106, s_store_id#107] -Functions [1]: [sum(coalesce((ss_sales_price#110 * cast(ss_quantity#111 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#110 * cast(ss_quantity#111 as decimal(10,0))), 0.00))#27] -Results [5]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sum(coalesce((ss_sales_price#110 * cast(ss_quantity#111 as decimal(10,0))), 0.00))#27 AS sumsales#112] - -(49) HashAggregate [codegen id : 28] -Input [5]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sumsales#112] -Keys [4]: [i_category#100, i_class#101, i_brand#102, i_product_name#103] -Functions [1]: [partial_sum(sumsales#112)] -Aggregate Attributes [2]: [sum#113, isEmpty#114] -Results [6]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sum#115, isEmpty#116] - -(50) CometColumnarExchange -Input [6]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sum#115, isEmpty#116] -Arguments: hashpartitioning(i_category#100, i_class#101, i_brand#102, i_product_name#103, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(51) CometColumnarToRow [codegen id : 29] -Input [6]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sum#115, isEmpty#116] - -(52) HashAggregate [codegen id : 29] -Input [6]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, sum#115, isEmpty#116] -Keys [4]: [i_category#100, i_class#101, i_brand#102, i_product_name#103] -Functions [1]: [sum(sumsales#112)] -Aggregate Attributes [1]: [sum(sumsales#112)#117] -Results [9]: [i_category#100, i_class#101, i_brand#102, i_product_name#103, null AS d_year#118, null AS d_qoy#119, null AS d_moy#120, null AS s_store_id#121, sum(sumsales#112)#117 AS sumsales#122] - -(53) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#123, i_class#124, i_brand#125, i_product_name#126, d_year#127, d_qoy#128, d_moy#129, s_store_id#130, sum#131, isEmpty#132] - -(54) CometColumnarToRow [codegen id : 34] -Input [10]: [i_category#123, i_class#124, i_brand#125, i_product_name#126, d_year#127, d_qoy#128, d_moy#129, s_store_id#130, sum#131, isEmpty#132] - -(55) HashAggregate [codegen id : 34] -Input [10]: [i_category#123, i_class#124, i_brand#125, i_product_name#126, d_year#127, d_qoy#128, d_moy#129, s_store_id#130, sum#131, isEmpty#132] -Keys [8]: [i_category#123, i_class#124, i_brand#125, i_product_name#126, d_year#127, d_qoy#128, d_moy#129, s_store_id#130] -Functions [1]: [sum(coalesce((ss_sales_price#133 * cast(ss_quantity#134 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#133 * cast(ss_quantity#134 as decimal(10,0))), 0.00))#27] -Results [4]: [i_category#123, i_class#124, i_brand#125, sum(coalesce((ss_sales_price#133 * cast(ss_quantity#134 as decimal(10,0))), 0.00))#27 AS sumsales#135] - -(56) HashAggregate [codegen id : 34] -Input [4]: [i_category#123, i_class#124, i_brand#125, sumsales#135] -Keys [3]: [i_category#123, i_class#124, i_brand#125] -Functions [1]: [partial_sum(sumsales#135)] -Aggregate Attributes [2]: [sum#136, isEmpty#137] -Results [5]: [i_category#123, i_class#124, i_brand#125, sum#138, isEmpty#139] - -(57) CometColumnarExchange -Input [5]: [i_category#123, i_class#124, i_brand#125, sum#138, isEmpty#139] -Arguments: hashpartitioning(i_category#123, i_class#124, i_brand#125, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] - -(58) CometColumnarToRow [codegen id : 35] -Input [5]: [i_category#123, i_class#124, i_brand#125, sum#138, isEmpty#139] - -(59) HashAggregate [codegen id : 35] -Input [5]: [i_category#123, i_class#124, i_brand#125, sum#138, isEmpty#139] -Keys [3]: [i_category#123, i_class#124, i_brand#125] -Functions [1]: [sum(sumsales#135)] -Aggregate Attributes [1]: [sum(sumsales#135)#140] -Results [9]: [i_category#123, i_class#124, i_brand#125, null AS i_product_name#141, null AS d_year#142, null AS d_qoy#143, null AS d_moy#144, null AS s_store_id#145, sum(sumsales#135)#140 AS sumsales#146] - -(60) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sum#155, isEmpty#156] - -(61) CometColumnarToRow [codegen id : 40] -Input [10]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sum#155, isEmpty#156] - -(62) HashAggregate [codegen id : 40] -Input [10]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sum#155, isEmpty#156] -Keys [8]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154] -Functions [1]: [sum(coalesce((ss_sales_price#157 * cast(ss_quantity#158 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#157 * cast(ss_quantity#158 as decimal(10,0))), 0.00))#27] -Results [3]: [i_category#147, i_class#148, sum(coalesce((ss_sales_price#157 * cast(ss_quantity#158 as decimal(10,0))), 0.00))#27 AS sumsales#159] - -(63) HashAggregate [codegen id : 40] -Input [3]: [i_category#147, i_class#148, sumsales#159] -Keys [2]: [i_category#147, i_class#148] -Functions [1]: [partial_sum(sumsales#159)] -Aggregate Attributes [2]: [sum#160, isEmpty#161] -Results [4]: [i_category#147, i_class#148, sum#162, isEmpty#163] - -(64) CometColumnarExchange -Input [4]: [i_category#147, i_class#148, sum#162, isEmpty#163] -Arguments: hashpartitioning(i_category#147, i_class#148, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(65) CometColumnarToRow [codegen id : 41] -Input [4]: [i_category#147, i_class#148, sum#162, isEmpty#163] - -(66) HashAggregate [codegen id : 41] -Input [4]: [i_category#147, i_class#148, sum#162, isEmpty#163] -Keys [2]: [i_category#147, i_class#148] -Functions [1]: [sum(sumsales#159)] -Aggregate Attributes [1]: [sum(sumsales#159)#164] -Results [9]: [i_category#147, i_class#148, null AS i_brand#165, null AS i_product_name#166, null AS d_year#167, null AS d_qoy#168, null AS d_moy#169, null AS s_store_id#170, sum(sumsales#159)#164 AS sumsales#171] - -(67) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#172, i_class#173, i_brand#174, i_product_name#175, d_year#176, d_qoy#177, d_moy#178, s_store_id#179, sum#180, isEmpty#181] - -(68) CometColumnarToRow [codegen id : 46] -Input [10]: [i_category#172, i_class#173, i_brand#174, i_product_name#175, d_year#176, d_qoy#177, d_moy#178, s_store_id#179, sum#180, isEmpty#181] - -(69) HashAggregate [codegen id : 46] -Input [10]: [i_category#172, i_class#173, i_brand#174, i_product_name#175, d_year#176, d_qoy#177, d_moy#178, s_store_id#179, sum#180, isEmpty#181] -Keys [8]: [i_category#172, i_class#173, i_brand#174, i_product_name#175, d_year#176, d_qoy#177, d_moy#178, s_store_id#179] -Functions [1]: [sum(coalesce((ss_sales_price#182 * cast(ss_quantity#183 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#182 * cast(ss_quantity#183 as decimal(10,0))), 0.00))#27] -Results [2]: [i_category#172, sum(coalesce((ss_sales_price#182 * cast(ss_quantity#183 as decimal(10,0))), 0.00))#27 AS sumsales#184] - -(70) HashAggregate [codegen id : 46] -Input [2]: [i_category#172, sumsales#184] -Keys [1]: [i_category#172] -Functions [1]: [partial_sum(sumsales#184)] -Aggregate Attributes [2]: [sum#185, isEmpty#186] -Results [3]: [i_category#172, sum#187, isEmpty#188] - -(71) CometColumnarExchange -Input [3]: [i_category#172, sum#187, isEmpty#188] -Arguments: hashpartitioning(i_category#172, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(72) CometColumnarToRow [codegen id : 47] -Input [3]: [i_category#172, sum#187, isEmpty#188] - -(73) HashAggregate [codegen id : 47] -Input [3]: [i_category#172, sum#187, isEmpty#188] -Keys [1]: [i_category#172] -Functions [1]: [sum(sumsales#184)] -Aggregate Attributes [1]: [sum(sumsales#184)#189] -Results [9]: [i_category#172, null AS i_class#190, null AS i_brand#191, null AS i_product_name#192, null AS d_year#193, null AS d_qoy#194, null AS d_moy#195, null AS s_store_id#196, sum(sumsales#184)#189 AS sumsales#197] - -(74) ReusedExchange [Reuses operator id: 22] -Output [10]: [i_category#198, i_class#199, i_brand#200, i_product_name#201, d_year#202, d_qoy#203, d_moy#204, s_store_id#205, sum#206, isEmpty#207] - -(75) CometColumnarToRow [codegen id : 52] -Input [10]: [i_category#198, i_class#199, i_brand#200, i_product_name#201, d_year#202, d_qoy#203, d_moy#204, s_store_id#205, sum#206, isEmpty#207] - -(76) HashAggregate [codegen id : 52] -Input [10]: [i_category#198, i_class#199, i_brand#200, i_product_name#201, d_year#202, d_qoy#203, d_moy#204, s_store_id#205, sum#206, isEmpty#207] -Keys [8]: [i_category#198, i_class#199, i_brand#200, i_product_name#201, d_year#202, d_qoy#203, d_moy#204, s_store_id#205] -Functions [1]: [sum(coalesce((ss_sales_price#208 * cast(ss_quantity#209 as decimal(10,0))), 0.00))] -Aggregate Attributes [1]: [sum(coalesce((ss_sales_price#208 * cast(ss_quantity#209 as decimal(10,0))), 0.00))#27] -Results [1]: [sum(coalesce((ss_sales_price#208 * cast(ss_quantity#209 as decimal(10,0))), 0.00))#27 AS sumsales#210] - -(77) HashAggregate [codegen id : 52] -Input [1]: [sumsales#210] +Output [10]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, d_year#76, d_qoy#77, d_moy#78, s_store_id#79, sum#80, isEmpty#81] + +(40) CometHashAggregate +Input [10]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, d_year#76, d_qoy#77, d_moy#78, s_store_id#79, sum#80, isEmpty#81] +Keys [8]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, d_year#76, d_qoy#77, d_moy#78, s_store_id#79] +Functions [1]: [sum(coalesce((ss_sales_price#82 * cast(ss_quantity#83 as decimal(10,0))), 0.00))] + +(41) CometHashAggregate +Input [5]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, sumsales#84] +Keys [4]: [i_category#72, i_class#73, i_brand#74, i_product_name#75] +Functions [1]: [partial_sum(sumsales#84)] + +(42) CometExchange +Input [6]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, sum#85, isEmpty#86] +Arguments: hashpartitioning(i_category#72, i_class#73, i_brand#74, i_product_name#75, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] + +(43) CometHashAggregate +Input [6]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, sum#85, isEmpty#86] +Keys [4]: [i_category#72, i_class#73, i_brand#74, i_product_name#75] +Functions [1]: [sum(sumsales#84)] + +(44) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#87, i_class#88, i_brand#89, i_product_name#90, d_year#91, d_qoy#92, d_moy#93, s_store_id#94, sum#95, isEmpty#96] + +(45) CometHashAggregate +Input [10]: [i_category#87, i_class#88, i_brand#89, i_product_name#90, d_year#91, d_qoy#92, d_moy#93, s_store_id#94, sum#95, isEmpty#96] +Keys [8]: [i_category#87, i_class#88, i_brand#89, i_product_name#90, d_year#91, d_qoy#92, d_moy#93, s_store_id#94] +Functions [1]: [sum(coalesce((ss_sales_price#97 * cast(ss_quantity#98 as decimal(10,0))), 0.00))] + +(46) CometHashAggregate +Input [4]: [i_category#87, i_class#88, i_brand#89, sumsales#99] +Keys [3]: [i_category#87, i_class#88, i_brand#89] +Functions [1]: [partial_sum(sumsales#99)] + +(47) CometExchange +Input [5]: [i_category#87, i_class#88, i_brand#89, sum#100, isEmpty#101] +Arguments: hashpartitioning(i_category#87, i_class#88, i_brand#89, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] + +(48) CometHashAggregate +Input [5]: [i_category#87, i_class#88, i_brand#89, sum#100, isEmpty#101] +Keys [3]: [i_category#87, i_class#88, i_brand#89] +Functions [1]: [sum(sumsales#99)] + +(49) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#102, i_class#103, i_brand#104, i_product_name#105, d_year#106, d_qoy#107, d_moy#108, s_store_id#109, sum#110, isEmpty#111] + +(50) CometHashAggregate +Input [10]: [i_category#102, i_class#103, i_brand#104, i_product_name#105, d_year#106, d_qoy#107, d_moy#108, s_store_id#109, sum#110, isEmpty#111] +Keys [8]: [i_category#102, i_class#103, i_brand#104, i_product_name#105, d_year#106, d_qoy#107, d_moy#108, s_store_id#109] +Functions [1]: [sum(coalesce((ss_sales_price#112 * cast(ss_quantity#113 as decimal(10,0))), 0.00))] + +(51) CometHashAggregate +Input [3]: [i_category#102, i_class#103, sumsales#114] +Keys [2]: [i_category#102, i_class#103] +Functions [1]: [partial_sum(sumsales#114)] + +(52) CometExchange +Input [4]: [i_category#102, i_class#103, sum#115, isEmpty#116] +Arguments: hashpartitioning(i_category#102, i_class#103, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(53) CometHashAggregate +Input [4]: [i_category#102, i_class#103, sum#115, isEmpty#116] +Keys [2]: [i_category#102, i_class#103] +Functions [1]: [sum(sumsales#114)] + +(54) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#117, i_class#118, i_brand#119, i_product_name#120, d_year#121, d_qoy#122, d_moy#123, s_store_id#124, sum#125, isEmpty#126] + +(55) CometHashAggregate +Input [10]: [i_category#117, i_class#118, i_brand#119, i_product_name#120, d_year#121, d_qoy#122, d_moy#123, s_store_id#124, sum#125, isEmpty#126] +Keys [8]: [i_category#117, i_class#118, i_brand#119, i_product_name#120, d_year#121, d_qoy#122, d_moy#123, s_store_id#124] +Functions [1]: [sum(coalesce((ss_sales_price#127 * cast(ss_quantity#128 as decimal(10,0))), 0.00))] + +(56) CometHashAggregate +Input [2]: [i_category#117, sumsales#129] +Keys [1]: [i_category#117] +Functions [1]: [partial_sum(sumsales#129)] + +(57) CometExchange +Input [3]: [i_category#117, sum#130, isEmpty#131] +Arguments: hashpartitioning(i_category#117, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] + +(58) CometHashAggregate +Input [3]: [i_category#117, sum#130, isEmpty#131] +Keys [1]: [i_category#117] +Functions [1]: [sum(sumsales#129)] + +(59) ReusedExchange [Reuses operator id: 22] +Output [10]: [i_category#132, i_class#133, i_brand#134, i_product_name#135, d_year#136, d_qoy#137, d_moy#138, s_store_id#139, sum#140, isEmpty#141] + +(60) CometHashAggregate +Input [10]: [i_category#132, i_class#133, i_brand#134, i_product_name#135, d_year#136, d_qoy#137, d_moy#138, s_store_id#139, sum#140, isEmpty#141] +Keys [8]: [i_category#132, i_class#133, i_brand#134, i_product_name#135, d_year#136, d_qoy#137, d_moy#138, s_store_id#139] +Functions [1]: [sum(coalesce((ss_sales_price#142 * cast(ss_quantity#143 as decimal(10,0))), 0.00))] + +(61) CometHashAggregate +Input [1]: [sumsales#144] Keys: [] -Functions [1]: [partial_sum(sumsales#210)] -Aggregate Attributes [2]: [sum#211, isEmpty#212] -Results [2]: [sum#213, isEmpty#214] +Functions [1]: [partial_sum(sumsales#144)] -(78) CometColumnarExchange -Input [2]: [sum#213, isEmpty#214] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(62) CometExchange +Input [2]: [sum#145, isEmpty#146] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(79) CometColumnarToRow [codegen id : 53] -Input [2]: [sum#213, isEmpty#214] - -(80) HashAggregate [codegen id : 53] -Input [2]: [sum#213, isEmpty#214] +(63) CometHashAggregate +Input [2]: [sum#145, isEmpty#146] Keys: [] -Functions [1]: [sum(sumsales#210)] -Aggregate Attributes [1]: [sum(sumsales#210)#215] -Results [9]: [null AS i_category#216, null AS i_class#217, null AS i_brand#218, null AS i_product_name#219, null AS d_year#220, null AS d_qoy#221, null AS d_moy#222, null AS s_store_id#223, sum(sumsales#210)#215 AS sumsales#224] +Functions [1]: [sum(sumsales#144)] + +(64) CometUnion +Child 0 Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Child 1 Input [9]: [i_category#27, i_class#28, i_brand#29, i_product_name#30, d_year#31, d_qoy#32, d_moy#33, s_store_id#156, sumsales#157] +Child 2 Input [9]: [i_category#42, i_class#43, i_brand#44, i_product_name#45, d_year#46, d_qoy#47, d_moy#158, s_store_id#159, sumsales#160] +Child 3 Input [9]: [i_category#57, i_class#58, i_brand#59, i_product_name#60, d_year#61, d_qoy#161, d_moy#162, s_store_id#163, sumsales#164] +Child 4 Input [9]: [i_category#72, i_class#73, i_brand#74, i_product_name#75, d_year#165, d_qoy#166, d_moy#167, s_store_id#168, sumsales#169] +Child 5 Input [9]: [i_category#87, i_class#88, i_brand#89, i_product_name#170, d_year#171, d_qoy#172, d_moy#173, s_store_id#174, sumsales#175] +Child 6 Input [9]: [i_category#102, i_class#103, i_brand#176, i_product_name#177, d_year#178, d_qoy#179, d_moy#180, s_store_id#181, sumsales#182] +Child 7 Input [9]: [i_category#117, i_class#183, i_brand#184, i_product_name#185, d_year#186, d_qoy#187, d_moy#188, s_store_id#189, sumsales#190] +Child 8 Input [9]: [i_category#191, i_class#192, i_brand#193, i_product_name#194, d_year#195, d_qoy#196, d_moy#197, s_store_id#198, sumsales#199] -(81) Union +(65) CometSort +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155], [i_category#147 ASC NULLS FIRST, sumsales#155 DESC NULLS LAST] -(82) Sort [codegen id : 54] -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST], false, 0 +(66) CometColumnarToRow [codegen id : 37] +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] -(83) WindowGroupLimit -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Partial +(67) WindowGroupLimit +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: [i_category#147], [sumsales#155 DESC NULLS LAST], rank(sumsales#155), 100, Partial -(84) CometColumnarExchange -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: hashpartitioning(i_category#28, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] +(68) CometColumnarExchange +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: hashpartitioning(i_category#147, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] -(85) CometSort -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36], [i_category#28 ASC NULLS FIRST, sumsales#36 DESC NULLS LAST] +(69) CometSort +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155], [i_category#147 ASC NULLS FIRST, sumsales#155 DESC NULLS LAST] -(86) CometColumnarToRow [codegen id : 55] -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] +(70) CometColumnarToRow [codegen id : 38] +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] -(87) WindowGroupLimit -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [i_category#28], [sumsales#36 DESC NULLS LAST], rank(sumsales#36), 100, Final +(71) WindowGroupLimit +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: [i_category#147], [sumsales#155 DESC NULLS LAST], rank(sumsales#155), 100, Final -(88) Window -Input [9]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36] -Arguments: [rank(sumsales#36) windowspecdefinition(i_category#28, sumsales#36 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#225], [i_category#28], [sumsales#36 DESC NULLS LAST] +(72) Window +Input [9]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155] +Arguments: [rank(sumsales#155) windowspecdefinition(i_category#147, sumsales#155 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#200], [i_category#147], [sumsales#155 DESC NULLS LAST] -(89) Filter [codegen id : 56] -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#225] -Condition : (rk#225 <= 100) +(73) Filter [codegen id : 39] +Input [10]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155, rk#200] +Condition : (rk#200 <= 100) -(90) TakeOrderedAndProject -Input [10]: [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#225] -Arguments: 100, [i_category#28 ASC NULLS FIRST, i_class#29 ASC NULLS FIRST, i_brand#30 ASC NULLS FIRST, i_product_name#31 ASC NULLS FIRST, d_year#32 ASC NULLS FIRST, d_qoy#33 ASC NULLS FIRST, d_moy#34 ASC NULLS FIRST, s_store_id#35 ASC NULLS FIRST, sumsales#36 ASC NULLS FIRST, rk#225 ASC NULLS FIRST], [i_category#28, i_class#29, i_brand#30, i_product_name#31, d_year#32, d_qoy#33, d_moy#34, s_store_id#35, sumsales#36, rk#225] +(74) TakeOrderedAndProject +Input [10]: [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155, rk#200] +Arguments: 100, [i_category#147 ASC NULLS FIRST, i_class#148 ASC NULLS FIRST, i_brand#149 ASC NULLS FIRST, i_product_name#150 ASC NULLS FIRST, d_year#151 ASC NULLS FIRST, d_qoy#152 ASC NULLS FIRST, d_moy#153 ASC NULLS FIRST, s_store_id#154 ASC NULLS FIRST, sumsales#155 ASC NULLS FIRST, rk#200 ASC NULLS FIRST], [i_category#147, i_class#148, i_brand#149, i_product_name#150, d_year#151, d_qoy#152, d_moy#153, s_store_id#154, sumsales#155, rk#200] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#5 IN dynamicpruning#6 -BroadcastExchange (95) -+- * CometColumnarToRow (94) - +- CometProject (93) - +- CometFilter (92) - +- CometNativeScan parquet spark_catalog.default.date_dim (91) +BroadcastExchange (79) ++- * CometColumnarToRow (78) + +- CometProject (77) + +- CometFilter (76) + +- CometNativeScan parquet spark_catalog.default.date_dim (75) -(91) CometNativeScan parquet spark_catalog.default.date_dim -Output [5]: [d_date_sk#7, d_month_seq#226, d_year#8, d_moy#9, d_qoy#10] +(75) CometNativeScan parquet spark_catalog.default.date_dim +Output [5]: [d_date_sk#7, d_month_seq#201, d_year#8, d_moy#9, d_qoy#10] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(92) CometFilter -Input [5]: [d_date_sk#7, d_month_seq#226, d_year#8, d_moy#9, d_qoy#10] -Condition : (((isnotnull(d_month_seq#226) AND (d_month_seq#226 >= 1212)) AND (d_month_seq#226 <= 1223)) AND isnotnull(d_date_sk#7)) +(76) CometFilter +Input [5]: [d_date_sk#7, d_month_seq#201, d_year#8, d_moy#9, d_qoy#10] +Condition : (((isnotnull(d_month_seq#201) AND (d_month_seq#201 >= 1212)) AND (d_month_seq#201 <= 1223)) AND isnotnull(d_date_sk#7)) -(93) CometProject -Input [5]: [d_date_sk#7, d_month_seq#226, d_year#8, d_moy#9, d_qoy#10] +(77) CometProject +Input [5]: [d_date_sk#7, d_month_seq#201, d_year#8, d_moy#9, d_qoy#10] Arguments: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10], [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(94) CometColumnarToRow [codegen id : 1] +(78) CometColumnarToRow [codegen id : 1] Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] -(95) BroadcastExchange +(79) BroadcastExchange Input [4]: [d_date_sk#7, d_year#8, d_moy#9, d_qoy#10] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=13] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/extended.txt index 0d338d5831..bc2e867033 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/extended.txt @@ -5,346 +5,330 @@ TakeOrderedAndProject +- CometColumnarToRow +- CometSort +- CometColumnarExchange - +- WindowGroupLimit - +- Sort - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 127 out of 285 eligible operators (44%). Final plan contains 63 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 154 out of 285 eligible operators (54%). Final plan contains 47 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/simplified.txt index 38fa0be072..7507214004 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q67a.native_datafusion/simplified.txt @@ -1,147 +1,97 @@ TakeOrderedAndProject [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,rk] - WholeStageCodegen (56) + WholeStageCodegen (39) Filter [rk] InputAdapter Window [sumsales,i_category] WindowGroupLimit [i_category,sumsales] - WholeStageCodegen (55) + WholeStageCodegen (38) CometColumnarToRow InputAdapter CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] CometColumnarExchange [i_category] #1 WindowGroupLimit [i_category,sumsales] - WholeStageCodegen (54) - Sort [i_category,sumsales] + WholeStageCodegen (37) + CometColumnarToRow InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 - WholeStageCodegen (4) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] - Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk,ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #3 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk,d_year,d_moy,d_qoy] - CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometSort [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometUnion [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id] #2 + WholeStageCodegen (4) + HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,ss_sales_price,ss_quantity] [sum,isEmpty,sum,isEmpty] + Project [ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id,i_brand,i_class,i_category,i_product_name] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Project [ss_item_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy,s_store_id] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,d_year,d_moy,d_qoy] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk,ss_item_sk] + ColumnarToRow InputAdapter - ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_store_sk,ss_quantity,ss_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #3 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk,d_year,d_moy,d_qoy] + CometFilter [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq,d_year,d_moy,d_qoy] InputAdapter - BroadcastExchange #4 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_store_id] [s_store_sk,s_store_id] - CometFilter [s_store_sk,s_store_id] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + ReusedExchange [d_date_sk,d_year,d_moy,d_qoy] #3 InputAdapter - BroadcastExchange #5 - WholeStageCodegen (3) + BroadcastExchange #4 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] - WholeStageCodegen (11) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] [sum(sumsales),s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 - WholeStageCodegen (10) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (17) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] [sum(sumsales),d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 - WholeStageCodegen (16) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (23) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] [sum(sumsales),d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 - WholeStageCodegen (22) - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (29) - HashAggregate [i_category,i_class,i_brand,i_product_name,sum,isEmpty] [sum(sumsales),d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand,i_product_name] #9 - WholeStageCodegen (28) - HashAggregate [i_category,i_class,i_brand,i_product_name,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (35) - HashAggregate [i_category,i_class,i_brand,sum,isEmpty] [sum(sumsales),i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class,i_brand] #10 - WholeStageCodegen (34) - HashAggregate [i_category,i_class,i_brand,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (41) - HashAggregate [i_category,i_class,sum,isEmpty] [sum(sumsales),i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #11 - WholeStageCodegen (40) - HashAggregate [i_category,i_class,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (47) - HashAggregate [i_category,sum,isEmpty] [sum(sumsales),i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #12 - WholeStageCodegen (46) - HashAggregate [i_category,sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 - WholeStageCodegen (53) - HashAggregate [sum,isEmpty] [sum(sumsales),i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #13 - WholeStageCodegen (52) - HashAggregate [sumsales] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00)),sumsales,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometProject [s_store_id] [s_store_sk,s_store_id] + CometFilter [s_store_sk,s_store_id] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_store_id] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (3) + CometColumnarToRow + InputAdapter + CometProject [i_brand,i_class,i_category,i_product_name] [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometFilter [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_brand,i_class,i_category,i_product_name] + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy] #6 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sum,isEmpty] + CometHashAggregate [s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy] #7 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sum,isEmpty] + CometHashAggregate [d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name,d_year] #8 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,d_year,sum,isEmpty] + CometHashAggregate [d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand,i_product_name] #9 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,i_product_name,sum,isEmpty] + CometHashAggregate [d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,i_product_name,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class,i_brand] #10 + CometHashAggregate [sumsales] [i_category,i_class,i_brand,sum,isEmpty] + CometHashAggregate [i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,i_brand,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category,i_class] #11 + CometHashAggregate [sumsales] [i_category,i_class,sum,isEmpty] + CometHashAggregate [i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,i_class,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange [i_category] #12 + CometHashAggregate [sumsales] [i_category,sum,isEmpty] + CometHashAggregate [i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [i_category,sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty] [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sumsales,sum(sumsales)] + CometExchange #13 + CometHashAggregate [sumsales] [sum,isEmpty] + CometHashAggregate [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] [sumsales,sum(coalesce((ss_sales_price * cast(ss_quantity as decimal(10,0))), 0.00))] + ReusedExchange [i_category,i_class,i_brand,i_product_name,d_year,d_qoy,d_moy,s_store_id,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/explain.txt index b203fef099..006064cf7f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/explain.txt @@ -1,69 +1,64 @@ == Physical Plan == -TakeOrderedAndProject (65) -+- * Project (64) - +- Window (63) - +- * CometColumnarToRow (62) - +- CometSort (61) - +- CometExchange (60) - +- CometHashAggregate (59) - +- CometColumnarExchange (58) - +- * HashAggregate (57) - +- Union (56) - :- * HashAggregate (41) - : +- * CometColumnarToRow (40) - : +- CometColumnarExchange (39) - : +- * HashAggregate (38) - : +- * Project (37) - : +- * BroadcastHashJoin Inner BuildRight (36) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (35) - : +- * Project (34) - : +- * BroadcastHashJoin LeftSemi BuildRight (33) - : :- * CometColumnarToRow (9) - : : +- CometFilter (8) - : : +- CometNativeScan parquet spark_catalog.default.store (7) - : +- BroadcastExchange (32) - : +- * Project (31) - : +- * Filter (30) - : +- Window (29) - : +- WindowGroupLimit (28) - : +- * Sort (27) - : +- * HashAggregate (26) - : +- * CometColumnarToRow (25) - : +- CometColumnarExchange (24) - : +- * HashAggregate (23) - : +- * Project (22) - : +- * BroadcastHashJoin Inner BuildRight (21) - : :- * Project (19) - : : +- * BroadcastHashJoin Inner BuildRight (18) - : : :- * Filter (12) - : : : +- * ColumnarToRow (11) - : : : +- Scan parquet spark_catalog.default.store_sales (10) - : : +- BroadcastExchange (17) - : : +- * CometColumnarToRow (16) - : : +- CometProject (15) - : : +- CometFilter (14) - : : +- CometNativeScan parquet spark_catalog.default.store (13) - : +- ReusedExchange (20) - :- * HashAggregate (48) - : +- * CometColumnarToRow (47) - : +- CometColumnarExchange (46) - : +- * HashAggregate (45) - : +- * HashAggregate (44) - : +- * CometColumnarToRow (43) - : +- ReusedExchange (42) - +- * HashAggregate (55) - +- * CometColumnarToRow (54) - +- CometColumnarExchange (53) - +- * HashAggregate (52) - +- * HashAggregate (51) - +- * CometColumnarToRow (50) - +- ReusedExchange (49) +TakeOrderedAndProject (60) ++- * Project (59) + +- Window (58) + +- * CometColumnarToRow (57) + +- CometSort (56) + +- CometExchange (55) + +- CometHashAggregate (54) + +- CometExchange (53) + +- CometHashAggregate (52) + +- CometUnion (51) + :- CometHashAggregate (40) + : +- CometColumnarExchange (39) + : +- * HashAggregate (38) + : +- * Project (37) + : +- * BroadcastHashJoin Inner BuildRight (36) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (35) + : +- * Project (34) + : +- * BroadcastHashJoin LeftSemi BuildRight (33) + : :- * CometColumnarToRow (9) + : : +- CometFilter (8) + : : +- CometNativeScan parquet spark_catalog.default.store (7) + : +- BroadcastExchange (32) + : +- * Project (31) + : +- * Filter (30) + : +- Window (29) + : +- WindowGroupLimit (28) + : +- * CometColumnarToRow (27) + : +- CometSort (26) + : +- CometHashAggregate (25) + : +- CometColumnarExchange (24) + : +- * HashAggregate (23) + : +- * Project (22) + : +- * BroadcastHashJoin Inner BuildRight (21) + : :- * Project (19) + : : +- * BroadcastHashJoin Inner BuildRight (18) + : : :- * Filter (12) + : : : +- * ColumnarToRow (11) + : : : +- Scan parquet spark_catalog.default.store_sales (10) + : : +- BroadcastExchange (17) + : : +- * CometColumnarToRow (16) + : : +- CometProject (15) + : : +- CometFilter (14) + : : +- CometNativeScan parquet spark_catalog.default.store (13) + : +- ReusedExchange (20) + :- CometHashAggregate (45) + : +- CometExchange (44) + : +- CometHashAggregate (43) + : +- CometHashAggregate (42) + : +- ReusedExchange (41) + +- CometHashAggregate (50) + +- CometExchange (49) + +- CometHashAggregate (48) + +- CometHashAggregate (47) + +- ReusedExchange (46) (1) Scan parquet spark_catalog.default.store_sales @@ -81,7 +76,7 @@ Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Input [3]: [ss_store_sk#1, ss_net_profit#2, ss_sold_date_sk#3] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 70] +(4) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 8] @@ -155,7 +150,7 @@ Join condition: None Output [3]: [ss_net_profit#10, ss_sold_date_sk#11, s_state#14] Input [5]: [ss_store_sk#9, ss_net_profit#10, ss_sold_date_sk#11, s_store_sk#12, s_state#14] -(20) ReusedExchange [Reuses operator id: 70] +(20) ReusedExchange [Reuses operator id: 65] Output [1]: [d_date_sk#15] (21) BroadcastHashJoin [codegen id : 4] @@ -179,35 +174,33 @@ Results [2]: [s_state#14, sum#17] Input [2]: [s_state#14, sum#17] Arguments: hashpartitioning(s_state#14, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(25) CometColumnarToRow [codegen id : 5] -Input [2]: [s_state#14, sum#17] - -(26) HashAggregate [codegen id : 5] +(25) CometHashAggregate Input [2]: [s_state#14, sum#17] Keys [1]: [s_state#14] Functions [1]: [sum(UnscaledValue(ss_net_profit#10))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#10))#18] -Results [3]: [s_state#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#10))#18,17,2) AS _w0#19, s_state#14] -(27) Sort [codegen id : 5] -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14 ASC NULLS FIRST, _w0#19 DESC NULLS LAST], false, 0 +(26) CometSort +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14, _w0#18, s_state#14], [s_state#14 ASC NULLS FIRST, _w0#18 DESC NULLS LAST] + +(27) CometColumnarToRow [codegen id : 5] +Input [3]: [s_state#14, _w0#18, s_state#14] (28) WindowGroupLimit -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [s_state#14], [_w0#19 DESC NULLS LAST], rank(_w0#19), 5, Final +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [s_state#14], [_w0#18 DESC NULLS LAST], rank(_w0#18), 5, Final (29) Window -Input [3]: [s_state#14, _w0#19, s_state#14] -Arguments: [rank(_w0#19) windowspecdefinition(s_state#14, _w0#19 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#20], [s_state#14], [_w0#19 DESC NULLS LAST] +Input [3]: [s_state#14, _w0#18, s_state#14] +Arguments: [rank(_w0#18) windowspecdefinition(s_state#14, _w0#18 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS ranking#19], [s_state#14], [_w0#18 DESC NULLS LAST] (30) Filter [codegen id : 6] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] -Condition : (ranking#20 <= 5) +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] +Condition : (ranking#19 <= 5) (31) Project [codegen id : 6] Output [1]: [s_state#14] -Input [4]: [s_state#14, _w0#19, s_state#14, ranking#20] +Input [4]: [s_state#14, _w0#18, s_state#14, ranking#19] (32) BroadcastExchange Input [1]: [s_state#14] @@ -220,11 +213,11 @@ Join type: LeftSemi Join condition: None (34) Project [codegen id : 7] -Output [3]: [s_store_sk#6, s_county#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2)) AS s_state#21] +Output [3]: [s_store_sk#6, s_county#7, static_invoke(CharVarcharCodegenUtils.readSidePadding(s_state#8, 2)) AS s_state#20] Input [3]: [s_store_sk#6, s_county#7, s_state#8] (35) BroadcastExchange -Input [3]: [s_store_sk#6, s_county#7, s_state#21] +Input [3]: [s_store_sk#6, s_county#7, s_state#20] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] (36) BroadcastHashJoin [codegen id : 8] @@ -234,168 +227,140 @@ Join type: Inner Join condition: None (37) Project [codegen id : 8] -Output [3]: [ss_net_profit#2, s_county#7, s_state#21] -Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#21] +Output [3]: [ss_net_profit#2, s_county#7, s_state#20] +Input [5]: [ss_store_sk#1, ss_net_profit#2, s_store_sk#6, s_county#7, s_state#20] (38) HashAggregate [codegen id : 8] -Input [3]: [ss_net_profit#2, s_county#7, s_state#21] -Keys [2]: [s_state#21, s_county#7] +Input [3]: [ss_net_profit#2, s_county#7, s_state#20] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [partial_sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum#22] -Results [3]: [s_state#21, s_county#7, sum#23] +Aggregate Attributes [1]: [sum#21] +Results [3]: [s_state#20, s_county#7, sum#22] (39) CometColumnarExchange -Input [3]: [s_state#21, s_county#7, sum#23] -Arguments: hashpartitioning(s_state#21, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] +Input [3]: [s_state#20, s_county#7, sum#22] +Arguments: hashpartitioning(s_state#20, s_county#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] -(41) HashAggregate [codegen id : 9] -Input [3]: [s_state#21, s_county#7, sum#23] -Keys [2]: [s_state#21, s_county#7] +(40) CometHashAggregate +Input [3]: [s_state#20, s_county#7, sum#22] +Keys [2]: [s_state#20, s_county#7] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#7 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] - -(42) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#31, s_county#32, sum#33] - -(43) CometColumnarToRow [codegen id : 18] -Input [3]: [s_state#31, s_county#32, sum#33] - -(44) HashAggregate [codegen id : 18] -Input [3]: [s_state#31, s_county#32, sum#33] -Keys [2]: [s_state#31, s_county#32] -Functions [1]: [sum(UnscaledValue(ss_net_profit#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#34))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#34))#24,17,2) AS total_sum#35, s_state#31] - -(45) HashAggregate [codegen id : 18] -Input [2]: [total_sum#35, s_state#31] -Keys [1]: [s_state#31] -Functions [1]: [partial_sum(total_sum#35)] -Aggregate Attributes [2]: [sum#36, isEmpty#37] -Results [3]: [s_state#31, sum#38, isEmpty#39] - -(46) CometColumnarExchange -Input [3]: [s_state#31, sum#38, isEmpty#39] -Arguments: hashpartitioning(s_state#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] - -(47) CometColumnarToRow [codegen id : 19] -Input [3]: [s_state#31, sum#38, isEmpty#39] - -(48) HashAggregate [codegen id : 19] -Input [3]: [s_state#31, sum#38, isEmpty#39] -Keys [1]: [s_state#31] -Functions [1]: [sum(total_sum#35)] -Aggregate Attributes [1]: [sum(total_sum#35)#40] -Results [6]: [sum(total_sum#35)#40 AS total_sum#41, s_state#31, null AS s_county#42, 0 AS g_state#43, 1 AS g_county#44, 1 AS lochierarchy#45] - -(49) ReusedExchange [Reuses operator id: 39] -Output [3]: [s_state#46, s_county#47, sum#48] - -(50) CometColumnarToRow [codegen id : 28] -Input [3]: [s_state#46, s_county#47, sum#48] - -(51) HashAggregate [codegen id : 28] -Input [3]: [s_state#46, s_county#47, sum#48] -Keys [2]: [s_state#46, s_county#47] -Functions [1]: [sum(UnscaledValue(ss_net_profit#49))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#49))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#49))#24,17,2) AS total_sum#50] - -(52) HashAggregate [codegen id : 28] -Input [1]: [total_sum#50] -Keys: [] -Functions [1]: [partial_sum(total_sum#50)] -Aggregate Attributes [2]: [sum#51, isEmpty#52] -Results [2]: [sum#53, isEmpty#54] -(53) CometColumnarExchange -Input [2]: [sum#53, isEmpty#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(41) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#23, s_county#24, sum#25] + +(42) CometHashAggregate +Input [3]: [s_state#23, s_county#24, sum#25] +Keys [2]: [s_state#23, s_county#24] +Functions [1]: [sum(UnscaledValue(ss_net_profit#26))] + +(43) CometHashAggregate +Input [2]: [total_sum#27, s_state#23] +Keys [1]: [s_state#23] +Functions [1]: [partial_sum(total_sum#27)] + +(44) CometExchange +Input [3]: [s_state#23, sum#28, isEmpty#29] +Arguments: hashpartitioning(s_state#23, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] + +(45) CometHashAggregate +Input [3]: [s_state#23, sum#28, isEmpty#29] +Keys [1]: [s_state#23] +Functions [1]: [sum(total_sum#27)] + +(46) ReusedExchange [Reuses operator id: 39] +Output [3]: [s_state#30, s_county#31, sum#32] + +(47) CometHashAggregate +Input [3]: [s_state#30, s_county#31, sum#32] +Keys [2]: [s_state#30, s_county#31] +Functions [1]: [sum(UnscaledValue(ss_net_profit#33))] + +(48) CometHashAggregate +Input [1]: [total_sum#34] +Keys: [] +Functions [1]: [partial_sum(total_sum#34)] -(54) CometColumnarToRow [codegen id : 29] -Input [2]: [sum#53, isEmpty#54] +(49) CometExchange +Input [2]: [sum#35, isEmpty#36] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(55) HashAggregate [codegen id : 29] -Input [2]: [sum#53, isEmpty#54] +(50) CometHashAggregate +Input [2]: [sum#35, isEmpty#36] Keys: [] -Functions [1]: [sum(total_sum#50)] -Aggregate Attributes [1]: [sum(total_sum#50)#55] -Results [6]: [sum(total_sum#50)#55 AS total_sum#56, null AS s_state#57, null AS s_county#58, 1 AS g_state#59, 1 AS g_county#60, 2 AS lochierarchy#61] +Functions [1]: [sum(total_sum#34)] -(56) Union +(51) CometUnion +Child 0 Input [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] +Child 1 Input [6]: [total_sum#43, s_state#23, s_county#44, g_state#45, g_county#46, lochierarchy#47] +Child 2 Input [6]: [total_sum#48, s_state#49, s_county#50, g_state#51, g_county#52, lochierarchy#53] -(57) HashAggregate [codegen id : 30] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(52) CometHashAggregate +Input [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] +Keys [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(58) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] +(53) CometExchange +Input [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] +Arguments: hashpartitioning(total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(59) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(54) CometHashAggregate +Input [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] +Keys [6]: [total_sum#37, s_state#38, s_county#39, g_state#40, g_county#41, lochierarchy#42] Functions: [] -(60) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: hashpartitioning(lochierarchy#30, _w0#62, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] +(55) CometExchange +Input [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54] +Arguments: hashpartitioning(lochierarchy#42, _w0#54, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] -(61) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62], [lochierarchy#30 ASC NULLS FIRST, _w0#62 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(56) CometSort +Input [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54] +Arguments: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54], [lochierarchy#42 ASC NULLS FIRST, _w0#54 ASC NULLS FIRST, total_sum#37 DESC NULLS LAST] -(62) CometColumnarToRow [codegen id : 31] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] +(57) CometColumnarToRow [codegen id : 25] +Input [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54] -(63) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#62, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#63], [lochierarchy#30, _w0#62], [total_sum#25 DESC NULLS LAST] +(58) Window +Input [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54] +Arguments: [rank(total_sum#37) windowspecdefinition(lochierarchy#42, _w0#54, total_sum#37 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#55], [lochierarchy#42, _w0#54], [total_sum#37 DESC NULLS LAST] -(64) Project [codegen id : 32] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62, rank_within_parent#63] +(59) Project [codegen id : 26] +Output [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, rank_within_parent#55] +Input [6]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, _w0#54, rank_within_parent#55] -(65) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#63 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] +(60) TakeOrderedAndProject +Input [5]: [total_sum#37, s_state#38, s_county#39, lochierarchy#42, rank_within_parent#55] +Arguments: 100, [lochierarchy#42 DESC NULLS LAST, CASE WHEN (lochierarchy#42 = 0) THEN s_state#38 END ASC NULLS FIRST, rank_within_parent#55 ASC NULLS FIRST], [total_sum#37, s_state#38, s_county#39, lochierarchy#42, rank_within_parent#55] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (70) -+- * CometColumnarToRow (69) - +- CometProject (68) - +- CometFilter (67) - +- CometNativeScan parquet spark_catalog.default.date_dim (66) +BroadcastExchange (65) ++- * CometColumnarToRow (64) + +- CometProject (63) + +- CometFilter (62) + +- CometNativeScan parquet spark_catalog.default.date_dim (61) -(66) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#64] +(61) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#56] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(67) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#64] -Condition : (((isnotnull(d_month_seq#64) AND (d_month_seq#64 >= 1212)) AND (d_month_seq#64 <= 1223)) AND isnotnull(d_date_sk#5)) +(62) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#56] +Condition : (((isnotnull(d_month_seq#56) AND (d_month_seq#56 >= 1212)) AND (d_month_seq#56 <= 1223)) AND isnotnull(d_date_sk#5)) -(68) CometProject -Input [2]: [d_date_sk#5, d_month_seq#64] +(63) CometProject +Input [2]: [d_date_sk#5, d_month_seq#56] Arguments: [d_date_sk#5], [d_date_sk#5] -(69) CometColumnarToRow [codegen id : 1] +(64) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(70) BroadcastExchange +(65) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=10] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/extended.txt index d13ccdd19f..b7a20be3c2 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/extended.txt @@ -5,184 +5,179 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit - : +- Sort - : +- HashAggregate + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit - : +- Sort - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit - +- Sort - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometSort + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 54 out of 156 eligible operators (34%). Final plan contains 30 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 69 out of 156 eligible operators (44%). Final plan contains 25 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/simplified.txt index ba40c1d591..6ed5a7d9f9 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_datafusion/simplified.txt @@ -1,107 +1,90 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (32) + WholeStageCodegen (26) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (31) + WholeStageCodegen (25) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (30) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (9) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (8) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (8) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (7) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk,s_county,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #5 - WholeStageCodegen (7) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #6 + WholeStageCodegen (6) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (6) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (5) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (5) - Sort [s_state,_w0] - HashAggregate [sum] [sum(UnscaledValue(ss_net_profit)),_w0,s_state,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #7 - WholeStageCodegen (4) - HashAggregate [s_state,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_state] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_net_profit,ss_sold_date_sk,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (19) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #9 - WholeStageCodegen (18) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (29) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (28) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_state] #7 + WholeStageCodegen (4) + HashAggregate [s_state,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_state] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_net_profit,ss_sold_date_sk,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometNativeScan parquet spark_catalog.default.store [s_store_sk,s_state] + InputAdapter + ReusedExchange [d_date_sk] #4 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #9 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #10 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/explain.txt index a66acf75ca..0b62b0b07f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/explain.txt @@ -1,70 +1,65 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * Project (65) - +- Window (64) - +- * CometColumnarToRow (63) - +- CometSort (62) - +- CometExchange (61) - +- CometHashAggregate (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- Union (57) - :- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- CometColumnarExchange (40) - : +- * HashAggregate (39) - : +- * Project (38) - : +- * BroadcastHashJoin Inner BuildRight (37) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (36) - : +- * Project (35) - : +- * BroadcastHashJoin LeftSemi BuildRight (34) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (33) - : +- * Project (32) - : +- * Filter (31) - : +- Window (30) - : +- WindowGroupLimit (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (49) - : +- * CometColumnarToRow (48) - : +- CometColumnarExchange (47) - : +- * HashAggregate (46) - : +- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- ReusedExchange (43) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * HashAggregate (52) - +- * CometColumnarToRow (51) - +- ReusedExchange (50) +TakeOrderedAndProject (61) ++- * Project (60) + +- Window (59) + +- * CometColumnarToRow (58) + +- CometSort (57) + +- CometExchange (56) + +- CometHashAggregate (55) + +- CometExchange (54) + +- CometHashAggregate (53) + +- CometUnion (52) + :- CometHashAggregate (41) + : +- CometColumnarExchange (40) + : +- * HashAggregate (39) + : +- * Project (38) + : +- * BroadcastHashJoin Inner BuildRight (37) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (36) + : +- * Project (35) + : +- * BroadcastHashJoin LeftSemi BuildRight (34) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (33) + : +- * Project (32) + : +- * Filter (31) + : +- Window (30) + : +- WindowGroupLimit (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (46) + : +- CometExchange (45) + : +- CometHashAggregate (44) + : +- CometHashAggregate (43) + : +- ReusedExchange (42) + +- CometHashAggregate (51) + +- CometExchange (50) + +- CometHashAggregate (49) + +- CometHashAggregate (48) + +- ReusedExchange (47) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -252,154 +247,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] -(43) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#31, s_county#32, sum#33] - -(44) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#31, s_county#32, sum#33] +(42) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#24, s_county#25, sum#26] -(45) HashAggregate [codegen id : 10] -Input [3]: [s_state#31, s_county#32, sum#33] -Keys [2]: [s_state#31, s_county#32] -Functions [1]: [sum(UnscaledValue(ss_net_profit#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#34))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#34))#24,17,2) AS total_sum#35, s_state#31] +(43) CometHashAggregate +Input [3]: [s_state#24, s_county#25, sum#26] +Keys [2]: [s_state#24, s_county#25] +Functions [1]: [sum(UnscaledValue(ss_net_profit#27))] -(46) HashAggregate [codegen id : 10] -Input [2]: [total_sum#35, s_state#31] -Keys [1]: [s_state#31] -Functions [1]: [partial_sum(total_sum#35)] -Aggregate Attributes [2]: [sum#36, isEmpty#37] -Results [3]: [s_state#31, sum#38, isEmpty#39] +(44) CometHashAggregate +Input [2]: [total_sum#28, s_state#24] +Keys [1]: [s_state#24] +Functions [1]: [partial_sum(total_sum#28)] -(47) CometColumnarExchange -Input [3]: [s_state#31, sum#38, isEmpty#39] -Arguments: hashpartitioning(s_state#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(45) CometExchange +Input [3]: [s_state#24, sum#29, isEmpty#30] +Arguments: hashpartitioning(s_state#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(48) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#31, sum#38, isEmpty#39] +(46) CometHashAggregate +Input [3]: [s_state#24, sum#29, isEmpty#30] +Keys [1]: [s_state#24] +Functions [1]: [sum(total_sum#28)] -(49) HashAggregate [codegen id : 11] -Input [3]: [s_state#31, sum#38, isEmpty#39] -Keys [1]: [s_state#31] -Functions [1]: [sum(total_sum#35)] -Aggregate Attributes [1]: [sum(total_sum#35)#40] -Results [6]: [sum(total_sum#35)#40 AS total_sum#41, s_state#31, null AS s_county#42, 0 AS g_state#43, 1 AS g_county#44, 1 AS lochierarchy#45] - -(50) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#46, s_county#47, sum#48] - -(51) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#46, s_county#47, sum#48] +(47) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#31, s_county#32, sum#33] -(52) HashAggregate [codegen id : 16] -Input [3]: [s_state#46, s_county#47, sum#48] -Keys [2]: [s_state#46, s_county#47] -Functions [1]: [sum(UnscaledValue(ss_net_profit#49))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#49))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#49))#24,17,2) AS total_sum#50] +(48) CometHashAggregate +Input [3]: [s_state#31, s_county#32, sum#33] +Keys [2]: [s_state#31, s_county#32] +Functions [1]: [sum(UnscaledValue(ss_net_profit#34))] -(53) HashAggregate [codegen id : 16] -Input [1]: [total_sum#50] +(49) CometHashAggregate +Input [1]: [total_sum#35] Keys: [] -Functions [1]: [partial_sum(total_sum#50)] -Aggregate Attributes [2]: [sum#51, isEmpty#52] -Results [2]: [sum#53, isEmpty#54] - -(54) CometColumnarExchange -Input [2]: [sum#53, isEmpty#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#35)] -(55) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#53, isEmpty#54] +(50) CometExchange +Input [2]: [sum#36, isEmpty#37] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(56) HashAggregate [codegen id : 17] -Input [2]: [sum#53, isEmpty#54] +(51) CometHashAggregate +Input [2]: [sum#36, isEmpty#37] Keys: [] -Functions [1]: [sum(total_sum#50)] -Aggregate Attributes [1]: [sum(total_sum#50)#55] -Results [6]: [sum(total_sum#50)#55 AS total_sum#56, null AS s_state#57, null AS s_county#58, 1 AS g_state#59, 1 AS g_county#60, 2 AS lochierarchy#61] +Functions [1]: [sum(total_sum#35)] -(57) Union +(52) CometUnion +Child 0 Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Child 1 Input [6]: [total_sum#44, s_state#24, s_county#45, g_state#46, g_county#47, lochierarchy#48] +Child 2 Input [6]: [total_sum#49, s_state#50, s_county#51, g_state#52, g_county#53, lochierarchy#54] -(58) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(53) CometHashAggregate +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Keys [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(59) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(54) CometExchange +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Arguments: hashpartitioning(total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(60) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(55) CometHashAggregate +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Keys [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] Functions: [] -(61) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: hashpartitioning(lochierarchy#30, _w0#62, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(56) CometExchange +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: hashpartitioning(lochierarchy#43, _w0#55, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(62) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62], [lochierarchy#30 ASC NULLS FIRST, _w0#62 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(57) CometSort +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55], [lochierarchy#43 ASC NULLS FIRST, _w0#55 ASC NULLS FIRST, total_sum#38 DESC NULLS LAST] -(63) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] +(58) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] -(64) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#62, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#63], [lochierarchy#30, _w0#62], [total_sum#25 DESC NULLS LAST] +(59) Window +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: [rank(total_sum#38) windowspecdefinition(lochierarchy#43, _w0#55, total_sum#38 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#56], [lochierarchy#43, _w0#55], [total_sum#38 DESC NULLS LAST] -(65) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62, rank_within_parent#63] +(60) Project [codegen id : 14] +Output [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] +Input [6]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55, rank_within_parent#56] -(66) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#63 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] +(61) TakeOrderedAndProject +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] +Arguments: 100, [lochierarchy#43 DESC NULLS LAST, CASE WHEN (lochierarchy#43 = 0) THEN s_state#39 END ASC NULLS FIRST, rank_within_parent#56 ASC NULLS FIRST], [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (67) +BroadcastExchange (66) ++- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (62) -(67) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(62) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter +(63) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(69) CometProject +(64) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(70) CometColumnarToRow [codegen id : 1] +(65) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(71) BroadcastExchange +(66) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/extended.txt index 191d0ef18a..37e390e632 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/extended.txt @@ -5,172 +5,167 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 156 eligible operators (65%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 156 eligible operators (71%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/simplified.txt index 2832c5a348..d1b802c6d3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a.native_iceberg_compat/simplified.txt @@ -1,101 +1,84 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/explain.txt index a66acf75ca..0b62b0b07f 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/explain.txt @@ -1,70 +1,65 @@ == Physical Plan == -TakeOrderedAndProject (66) -+- * Project (65) - +- Window (64) - +- * CometColumnarToRow (63) - +- CometSort (62) - +- CometExchange (61) - +- CometHashAggregate (60) - +- CometColumnarExchange (59) - +- * HashAggregate (58) - +- Union (57) - :- * HashAggregate (42) - : +- * CometColumnarToRow (41) - : +- CometColumnarExchange (40) - : +- * HashAggregate (39) - : +- * Project (38) - : +- * BroadcastHashJoin Inner BuildRight (37) - : :- * CometColumnarToRow (9) - : : +- CometProject (8) - : : +- CometBroadcastHashJoin (7) - : : :- CometFilter (2) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : +- CometBroadcastExchange (6) - : : +- CometProject (5) - : : +- CometFilter (4) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : +- BroadcastExchange (36) - : +- * Project (35) - : +- * BroadcastHashJoin LeftSemi BuildRight (34) - : :- * CometColumnarToRow (12) - : : +- CometFilter (11) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) - : +- BroadcastExchange (33) - : +- * Project (32) - : +- * Filter (31) - : +- Window (30) - : +- WindowGroupLimit (29) - : +- * CometColumnarToRow (28) - : +- CometSort (27) - : +- CometHashAggregate (26) - : +- CometExchange (25) - : +- CometHashAggregate (24) - : +- CometProject (23) - : +- CometBroadcastHashJoin (22) - : :- CometProject (20) - : : +- CometBroadcastHashJoin (19) - : : :- CometFilter (14) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) - : : +- CometBroadcastExchange (18) - : : +- CometProject (17) - : : +- CometFilter (16) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) - : +- ReusedExchange (21) - :- * HashAggregate (49) - : +- * CometColumnarToRow (48) - : +- CometColumnarExchange (47) - : +- * HashAggregate (46) - : +- * HashAggregate (45) - : +- * CometColumnarToRow (44) - : +- ReusedExchange (43) - +- * HashAggregate (56) - +- * CometColumnarToRow (55) - +- CometColumnarExchange (54) - +- * HashAggregate (53) - +- * HashAggregate (52) - +- * CometColumnarToRow (51) - +- ReusedExchange (50) +TakeOrderedAndProject (61) ++- * Project (60) + +- Window (59) + +- * CometColumnarToRow (58) + +- CometSort (57) + +- CometExchange (56) + +- CometHashAggregate (55) + +- CometExchange (54) + +- CometHashAggregate (53) + +- CometUnion (52) + :- CometHashAggregate (41) + : +- CometColumnarExchange (40) + : +- * HashAggregate (39) + : +- * Project (38) + : +- * BroadcastHashJoin Inner BuildRight (37) + : :- * CometColumnarToRow (9) + : : +- CometProject (8) + : : +- CometBroadcastHashJoin (7) + : : :- CometFilter (2) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : +- CometBroadcastExchange (6) + : : +- CometProject (5) + : : +- CometFilter (4) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : +- BroadcastExchange (36) + : +- * Project (35) + : +- * BroadcastHashJoin LeftSemi BuildRight (34) + : :- * CometColumnarToRow (12) + : : +- CometFilter (11) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (10) + : +- BroadcastExchange (33) + : +- * Project (32) + : +- * Filter (31) + : +- Window (30) + : +- WindowGroupLimit (29) + : +- * CometColumnarToRow (28) + : +- CometSort (27) + : +- CometHashAggregate (26) + : +- CometExchange (25) + : +- CometHashAggregate (24) + : +- CometProject (23) + : +- CometBroadcastHashJoin (22) + : :- CometProject (20) + : : +- CometBroadcastHashJoin (19) + : : :- CometFilter (14) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (13) + : : +- CometBroadcastExchange (18) + : : +- CometProject (17) + : : +- CometFilter (16) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (15) + : +- ReusedExchange (21) + :- CometHashAggregate (46) + : +- CometExchange (45) + : +- CometHashAggregate (44) + : +- CometHashAggregate (43) + : +- ReusedExchange (42) + +- CometHashAggregate (51) + +- CometExchange (50) + +- CometHashAggregate (49) + +- CometHashAggregate (48) + +- ReusedExchange (47) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -252,154 +247,126 @@ Results [3]: [s_state#21, s_county#8, sum#23] Input [3]: [s_state#21, s_county#8, sum#23] Arguments: hashpartitioning(s_state#21, s_county#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(41) CometColumnarToRow [codegen id : 5] -Input [3]: [s_state#21, s_county#8, sum#23] - -(42) HashAggregate [codegen id : 5] +(41) CometHashAggregate Input [3]: [s_state#21, s_county#8, sum#23] Keys [2]: [s_state#21, s_county#8] Functions [1]: [sum(UnscaledValue(ss_net_profit#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#2))#24] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ss_net_profit#2))#24,17,2) as decimal(27,2)) AS total_sum#25, s_state#21 AS s_state#26, s_county#8 AS s_county#27, 0 AS g_state#28, 0 AS g_county#29, 0 AS lochierarchy#30] -(43) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#31, s_county#32, sum#33] - -(44) CometColumnarToRow [codegen id : 10] -Input [3]: [s_state#31, s_county#32, sum#33] +(42) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#24, s_county#25, sum#26] -(45) HashAggregate [codegen id : 10] -Input [3]: [s_state#31, s_county#32, sum#33] -Keys [2]: [s_state#31, s_county#32] -Functions [1]: [sum(UnscaledValue(ss_net_profit#34))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#34))#24] -Results [2]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#34))#24,17,2) AS total_sum#35, s_state#31] +(43) CometHashAggregate +Input [3]: [s_state#24, s_county#25, sum#26] +Keys [2]: [s_state#24, s_county#25] +Functions [1]: [sum(UnscaledValue(ss_net_profit#27))] -(46) HashAggregate [codegen id : 10] -Input [2]: [total_sum#35, s_state#31] -Keys [1]: [s_state#31] -Functions [1]: [partial_sum(total_sum#35)] -Aggregate Attributes [2]: [sum#36, isEmpty#37] -Results [3]: [s_state#31, sum#38, isEmpty#39] +(44) CometHashAggregate +Input [2]: [total_sum#28, s_state#24] +Keys [1]: [s_state#24] +Functions [1]: [partial_sum(total_sum#28)] -(47) CometColumnarExchange -Input [3]: [s_state#31, sum#38, isEmpty#39] -Arguments: hashpartitioning(s_state#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(45) CometExchange +Input [3]: [s_state#24, sum#29, isEmpty#30] +Arguments: hashpartitioning(s_state#24, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(48) CometColumnarToRow [codegen id : 11] -Input [3]: [s_state#31, sum#38, isEmpty#39] +(46) CometHashAggregate +Input [3]: [s_state#24, sum#29, isEmpty#30] +Keys [1]: [s_state#24] +Functions [1]: [sum(total_sum#28)] -(49) HashAggregate [codegen id : 11] -Input [3]: [s_state#31, sum#38, isEmpty#39] -Keys [1]: [s_state#31] -Functions [1]: [sum(total_sum#35)] -Aggregate Attributes [1]: [sum(total_sum#35)#40] -Results [6]: [sum(total_sum#35)#40 AS total_sum#41, s_state#31, null AS s_county#42, 0 AS g_state#43, 1 AS g_county#44, 1 AS lochierarchy#45] - -(50) ReusedExchange [Reuses operator id: 40] -Output [3]: [s_state#46, s_county#47, sum#48] - -(51) CometColumnarToRow [codegen id : 16] -Input [3]: [s_state#46, s_county#47, sum#48] +(47) ReusedExchange [Reuses operator id: 40] +Output [3]: [s_state#31, s_county#32, sum#33] -(52) HashAggregate [codegen id : 16] -Input [3]: [s_state#46, s_county#47, sum#48] -Keys [2]: [s_state#46, s_county#47] -Functions [1]: [sum(UnscaledValue(ss_net_profit#49))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_profit#49))#24] -Results [1]: [MakeDecimal(sum(UnscaledValue(ss_net_profit#49))#24,17,2) AS total_sum#50] +(48) CometHashAggregate +Input [3]: [s_state#31, s_county#32, sum#33] +Keys [2]: [s_state#31, s_county#32] +Functions [1]: [sum(UnscaledValue(ss_net_profit#34))] -(53) HashAggregate [codegen id : 16] -Input [1]: [total_sum#50] +(49) CometHashAggregate +Input [1]: [total_sum#35] Keys: [] -Functions [1]: [partial_sum(total_sum#50)] -Aggregate Attributes [2]: [sum#51, isEmpty#52] -Results [2]: [sum#53, isEmpty#54] - -(54) CometColumnarExchange -Input [2]: [sum#53, isEmpty#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] +Functions [1]: [partial_sum(total_sum#35)] -(55) CometColumnarToRow [codegen id : 17] -Input [2]: [sum#53, isEmpty#54] +(50) CometExchange +Input [2]: [sum#36, isEmpty#37] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(56) HashAggregate [codegen id : 17] -Input [2]: [sum#53, isEmpty#54] +(51) CometHashAggregate +Input [2]: [sum#36, isEmpty#37] Keys: [] -Functions [1]: [sum(total_sum#50)] -Aggregate Attributes [1]: [sum(total_sum#50)#55] -Results [6]: [sum(total_sum#50)#55 AS total_sum#56, null AS s_state#57, null AS s_county#58, 1 AS g_state#59, 1 AS g_county#60, 2 AS lochierarchy#61] +Functions [1]: [sum(total_sum#35)] -(57) Union +(52) CometUnion +Child 0 Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Child 1 Input [6]: [total_sum#44, s_state#24, s_county#45, g_state#46, g_county#47, lochierarchy#48] +Child 2 Input [6]: [total_sum#49, s_state#50, s_county#51, g_state#52, g_county#53, lochierarchy#54] -(58) HashAggregate [codegen id : 18] -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(53) CometHashAggregate +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Keys [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -(59) CometColumnarExchange -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Arguments: hashpartitioning(total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] +(54) CometExchange +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Arguments: hashpartitioning(total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=7] -(60) CometHashAggregate -Input [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] -Keys [6]: [total_sum#25, s_state#26, s_county#27, g_state#28, g_county#29, lochierarchy#30] +(55) CometHashAggregate +Input [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] +Keys [6]: [total_sum#38, s_state#39, s_county#40, g_state#41, g_county#42, lochierarchy#43] Functions: [] -(61) CometExchange -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: hashpartitioning(lochierarchy#30, _w0#62, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] +(56) CometExchange +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: hashpartitioning(lochierarchy#43, _w0#55, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=8] -(62) CometSort -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62], [lochierarchy#30 ASC NULLS FIRST, _w0#62 ASC NULLS FIRST, total_sum#25 DESC NULLS LAST] +(57) CometSort +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55], [lochierarchy#43 ASC NULLS FIRST, _w0#55 ASC NULLS FIRST, total_sum#38 DESC NULLS LAST] -(63) CometColumnarToRow [codegen id : 19] -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] +(58) CometColumnarToRow [codegen id : 13] +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] -(64) Window -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62] -Arguments: [rank(total_sum#25) windowspecdefinition(lochierarchy#30, _w0#62, total_sum#25 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#63], [lochierarchy#30, _w0#62], [total_sum#25 DESC NULLS LAST] +(59) Window +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55] +Arguments: [rank(total_sum#38) windowspecdefinition(lochierarchy#43, _w0#55, total_sum#38 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#56], [lochierarchy#43, _w0#55], [total_sum#38 DESC NULLS LAST] -(65) Project [codegen id : 20] -Output [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Input [6]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, _w0#62, rank_within_parent#63] +(60) Project [codegen id : 14] +Output [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] +Input [6]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, _w0#55, rank_within_parent#56] -(66) TakeOrderedAndProject -Input [5]: [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] -Arguments: 100, [lochierarchy#30 DESC NULLS LAST, CASE WHEN (lochierarchy#30 = 0) THEN s_state#26 END ASC NULLS FIRST, rank_within_parent#63 ASC NULLS FIRST], [total_sum#25, s_state#26, s_county#27, lochierarchy#30, rank_within_parent#63] +(61) TakeOrderedAndProject +Input [5]: [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] +Arguments: 100, [lochierarchy#43 DESC NULLS LAST, CASE WHEN (lochierarchy#43 = 0) THEN s_state#39 END ASC NULLS FIRST, rank_within_parent#56 ASC NULLS FIRST], [total_sum#38, s_state#39, s_county#40, lochierarchy#43, rank_within_parent#56] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (71) -+- * CometColumnarToRow (70) - +- CometProject (69) - +- CometFilter (68) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (67) +BroadcastExchange (66) ++- * CometColumnarToRow (65) + +- CometProject (64) + +- CometFilter (63) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (62) -(67) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(62) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#5, d_month_seq#6] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(68) CometFilter +(63) CometFilter Input [2]: [d_date_sk#5, d_month_seq#6] Condition : (((isnotnull(d_month_seq#6) AND (d_month_seq#6 >= 1212)) AND (d_month_seq#6 <= 1223)) AND isnotnull(d_date_sk#5)) -(69) CometProject +(64) CometProject Input [2]: [d_date_sk#5, d_month_seq#6] Arguments: [d_date_sk#5], [d_date_sk#5] -(70) CometColumnarToRow [codegen id : 1] +(65) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(71) BroadcastExchange +(66) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=9] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/extended.txt index 191d0ef18a..37e390e632 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/extended.txt @@ -5,172 +5,167 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- Project + : +- BroadcastHashJoin + : :- CometColumnarToRow + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- BroadcastExchange + : +- Project + : +- Filter + : +- Window + : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + : +- CometColumnarToRow + : +- CometSort : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Project - : +- BroadcastHashJoin - : :- CometColumnarToRow - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- BroadcastExchange - : +- Project - : +- Filter - : +- Window - : +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - : +- CometColumnarToRow - : +- CometSort + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- Project - +- BroadcastHashJoin - :- CometColumnarToRow - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- BroadcastExchange - +- Project - +- Filter - +- Window - +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] - +- CometColumnarToRow - +- CometSort + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- Project + +- BroadcastHashJoin + :- CometColumnarToRow + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- BroadcastExchange + +- Project + +- Filter + +- Window + +- WindowGroupLimit [COMET: WindowGroupLimit is not supported] + +- CometColumnarToRow + +- CometSort + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - +- CometBroadcastExchange - +- CometProject - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + +- CometBroadcastExchange + +- CometProject + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim -Comet accelerated 102 out of 156 eligible operators (65%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 111 out of 156 eligible operators (71%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/simplified.txt index 2832c5a348..d1b802c6d3 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q70a/simplified.txt @@ -1,101 +1,84 @@ TakeOrderedAndProject [lochierarchy,s_state,rank_within_parent,total_sum,s_county] - WholeStageCodegen (20) + WholeStageCodegen (14) Project [total_sum,s_state,s_county,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (19) + WholeStageCodegen (13) CometColumnarToRow InputAdapter CometSort [total_sum,s_state,s_county,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_state] [total_sum,s_state,s_county,lochierarchy,_w0,g_county] - CometColumnarExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 - WholeStageCodegen (18) - HashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] - InputAdapter - Union - WholeStageCodegen (5) - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state,s_county] #3 - WholeStageCodegen (4) - HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] - Project [ss_net_profit,s_county,s_state] - BroadcastHashJoin [ss_store_sk,s_store_sk] + CometExchange [total_sum,s_state,s_county,g_state,g_county,lochierarchy] #2 + CometHashAggregate [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometUnion [total_sum,s_state,s_county,g_state,g_county,lochierarchy] + CometHashAggregate [sum] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(UnscaledValue(ss_net_profit)),s_state,s_county] + CometColumnarExchange [s_state,s_county] #3 + WholeStageCodegen (4) + HashAggregate [s_state,s_county,ss_net_profit] [sum,sum] + Project [ss_net_profit,s_county,s_state] + BroadcastHashJoin [ss_store_sk,s_store_sk] + CometColumnarToRow + InputAdapter + CometProject [ss_store_sk,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + BroadcastExchange #6 + WholeStageCodegen (3) + Project [s_store_sk,s_county,s_state] + BroadcastHashJoin [s_state,s_state] CometColumnarToRow InputAdapter - CometProject [ss_store_sk,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + CometFilter [s_store_sk,s_county,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] InputAdapter - BroadcastExchange #6 - WholeStageCodegen (3) - Project [s_store_sk,s_county,s_state] - BroadcastHashJoin [s_state,s_state] - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk,s_county,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_county,s_state] + BroadcastExchange #7 + WholeStageCodegen (2) + Project [s_state] + Filter [ranking] InputAdapter - BroadcastExchange #7 - WholeStageCodegen (2) - Project [s_state] - Filter [ranking] + Window [_w0,s_state] + WindowGroupLimit [s_state,_w0] + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - Window [_w0,s_state] - WindowGroupLimit [s_state,_w0] - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometSort [s_state,_w0] - CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] - CometExchange [s_state] #8 - CometHashAggregate [ss_net_profit] [s_state,sum] - CometProject [ss_net_profit,s_state] - CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] - CometProject [ss_net_profit,ss_sold_date_sk,s_state] - CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] - CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - CometBroadcastExchange [s_store_sk,s_state] #9 - CometProject [s_state] [s_store_sk,s_state] - CometFilter [s_store_sk,s_state] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (11) - HashAggregate [s_state,sum,isEmpty] [sum(total_sum),total_sum,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_state] #10 - WholeStageCodegen (10) - HashAggregate [s_state,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 - WholeStageCodegen (17) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #11 - WholeStageCodegen (16) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [s_state,s_county,sum] [sum(UnscaledValue(ss_net_profit)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [s_state,s_county,sum] #3 + CometSort [s_state,_w0] + CometHashAggregate [sum] [s_state,_w0,sum(UnscaledValue(ss_net_profit))] + CometExchange [s_state] #8 + CometHashAggregate [ss_net_profit] [s_state,sum] + CometProject [ss_net_profit,s_state] + CometBroadcastHashJoin [ss_net_profit,ss_sold_date_sk,s_state,d_date_sk] + CometProject [ss_net_profit,ss_sold_date_sk,s_state] + CometBroadcastHashJoin [ss_store_sk,ss_net_profit,ss_sold_date_sk,s_store_sk,s_state] + CometFilter [ss_store_sk,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_net_profit,ss_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [s_store_sk,s_state] #9 + CometProject [s_state] [s_store_sk,s_state] + CometFilter [s_store_sk,s_state] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk,s_state] + ReusedExchange [d_date_sk] #5 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange [s_state] #10 + CometHashAggregate [total_sum] [s_state,sum,isEmpty] + CometHashAggregate [s_county,sum] [total_sum,s_state,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,s_state,s_county,g_state,g_county,lochierarchy,sum(total_sum)] + CometExchange #11 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [s_state,s_county,sum] [total_sum,sum(UnscaledValue(ss_net_profit))] + ReusedExchange [s_state,s_county,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/explain.txt index 0ac606319d..78f444a73e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/explain.txt @@ -1,83 +1,80 @@ == Physical Plan == -TakeOrderedAndProject (79) -+- * Project (78) - +- * BroadcastHashJoin Inner BuildRight (77) - :- * Project (58) - : +- * BroadcastHashJoin Inner BuildRight (57) - : :- * BroadcastHashJoin Inner BuildRight (37) - : : :- * Filter (18) - : : : +- * HashAggregate (17) - : : : +- * CometColumnarToRow (16) - : : : +- CometColumnarExchange (15) - : : : +- * HashAggregate (14) - : : : +- * Project (13) - : : : +- * BroadcastHashJoin Inner BuildRight (12) - : : : :- * Project (10) - : : : : +- * BroadcastHashJoin Inner BuildRight (9) - : : : : :- * CometColumnarToRow (4) - : : : : : +- CometProject (3) - : : : : : +- CometFilter (2) - : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) - : : : : +- BroadcastExchange (8) - : : : : +- * Filter (7) - : : : : +- * ColumnarToRow (6) - : : : : +- Scan parquet spark_catalog.default.store_sales (5) - : : : +- ReusedExchange (11) - : : +- BroadcastExchange (36) - : : +- * HashAggregate (35) - : : +- * CometColumnarToRow (34) - : : +- CometColumnarExchange (33) - : : +- * HashAggregate (32) - : : +- * Project (31) - : : +- * BroadcastHashJoin Inner BuildRight (30) - : : :- * Project (28) - : : : +- * BroadcastHashJoin Inner BuildRight (27) - : : : :- * CometColumnarToRow (22) - : : : : +- CometProject (21) - : : : : +- CometFilter (20) - : : : : +- CometNativeScan parquet spark_catalog.default.customer (19) - : : : +- BroadcastExchange (26) - : : : +- * Filter (25) - : : : +- * ColumnarToRow (24) - : : : +- Scan parquet spark_catalog.default.store_sales (23) - : : +- ReusedExchange (29) - : +- BroadcastExchange (56) - : +- * Filter (55) - : +- * HashAggregate (54) - : +- * CometColumnarToRow (53) - : +- CometColumnarExchange (52) - : +- * HashAggregate (51) - : +- * Project (50) - : +- * BroadcastHashJoin Inner BuildRight (49) - : :- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * CometColumnarToRow (41) - : : : +- CometProject (40) - : : : +- CometFilter (39) - : : : +- CometNativeScan parquet spark_catalog.default.customer (38) - : : +- BroadcastExchange (45) - : : +- * Filter (44) - : : +- * ColumnarToRow (43) - : : +- Scan parquet spark_catalog.default.web_sales (42) - : +- ReusedExchange (48) - +- BroadcastExchange (76) - +- * HashAggregate (75) - +- * CometColumnarToRow (74) - +- CometColumnarExchange (73) - +- * HashAggregate (72) - +- * Project (71) - +- * BroadcastHashJoin Inner BuildRight (70) - :- * Project (68) - : +- * BroadcastHashJoin Inner BuildRight (67) - : :- * CometColumnarToRow (62) - : : +- CometProject (61) - : : +- CometFilter (60) - : : +- CometNativeScan parquet spark_catalog.default.customer (59) - : +- BroadcastExchange (66) - : +- * Filter (65) - : +- * ColumnarToRow (64) - : +- Scan parquet spark_catalog.default.web_sales (63) - +- ReusedExchange (69) +* CometColumnarToRow (76) ++- CometTakeOrderedAndProject (75) + +- CometProject (74) + +- CometBroadcastHashJoin (73) + :- CometProject (55) + : +- CometBroadcastHashJoin (54) + : :- CometBroadcastHashJoin (35) + : : :- CometFilter (17) + : : : +- CometHashAggregate (16) + : : : +- CometColumnarExchange (15) + : : : +- * HashAggregate (14) + : : : +- * Project (13) + : : : +- * BroadcastHashJoin Inner BuildRight (12) + : : : :- * Project (10) + : : : : +- * BroadcastHashJoin Inner BuildRight (9) + : : : : :- * CometColumnarToRow (4) + : : : : : +- CometProject (3) + : : : : : +- CometFilter (2) + : : : : : +- CometNativeScan parquet spark_catalog.default.customer (1) + : : : : +- BroadcastExchange (8) + : : : : +- * Filter (7) + : : : : +- * ColumnarToRow (6) + : : : : +- Scan parquet spark_catalog.default.store_sales (5) + : : : +- ReusedExchange (11) + : : +- CometBroadcastExchange (34) + : : +- CometHashAggregate (33) + : : +- CometColumnarExchange (32) + : : +- * HashAggregate (31) + : : +- * Project (30) + : : +- * BroadcastHashJoin Inner BuildRight (29) + : : :- * Project (27) + : : : +- * BroadcastHashJoin Inner BuildRight (26) + : : : :- * CometColumnarToRow (21) + : : : : +- CometProject (20) + : : : : +- CometFilter (19) + : : : : +- CometNativeScan parquet spark_catalog.default.customer (18) + : : : +- BroadcastExchange (25) + : : : +- * Filter (24) + : : : +- * ColumnarToRow (23) + : : : +- Scan parquet spark_catalog.default.store_sales (22) + : : +- ReusedExchange (28) + : +- CometBroadcastExchange (53) + : +- CometFilter (52) + : +- CometHashAggregate (51) + : +- CometColumnarExchange (50) + : +- * HashAggregate (49) + : +- * Project (48) + : +- * BroadcastHashJoin Inner BuildRight (47) + : :- * Project (45) + : : +- * BroadcastHashJoin Inner BuildRight (44) + : : :- * CometColumnarToRow (39) + : : : +- CometProject (38) + : : : +- CometFilter (37) + : : : +- CometNativeScan parquet spark_catalog.default.customer (36) + : : +- BroadcastExchange (43) + : : +- * Filter (42) + : : +- * ColumnarToRow (41) + : : +- Scan parquet spark_catalog.default.web_sales (40) + : +- ReusedExchange (46) + +- CometBroadcastExchange (72) + +- CometHashAggregate (71) + +- CometColumnarExchange (70) + +- * HashAggregate (69) + +- * Project (68) + +- * BroadcastHashJoin Inner BuildRight (67) + :- * Project (65) + : +- * BroadcastHashJoin Inner BuildRight (64) + : :- * CometColumnarToRow (59) + : : +- CometProject (58) + : : +- CometFilter (57) + : : +- CometNativeScan parquet spark_catalog.default.customer (56) + : +- BroadcastExchange (63) + : +- * Filter (62) + : +- * ColumnarToRow (61) + : +- Scan parquet spark_catalog.default.web_sales (60) + +- ReusedExchange (66) (1) CometNativeScan parquet spark_catalog.default.customer @@ -127,7 +124,7 @@ Join condition: None Output [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, ss_net_paid#9, ss_sold_date_sk#10] Input [7]: [c_customer_sk#1, c_customer_id#5, c_first_name#6, c_last_name#7, ss_customer_sk#8, ss_net_paid#9, ss_sold_date_sk#10] -(11) ReusedExchange [Reuses operator id: 83] +(11) ReusedExchange [Reuses operator id: 80] Output [2]: [d_date_sk#12, d_year#13] (12) BroadcastHashJoin [codegen id : 3] @@ -151,363 +148,343 @@ Results [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Arguments: hashpartitioning(c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 16] -Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] - -(17) HashAggregate [codegen id : 16] +(16) CometHashAggregate Input [5]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13, sum#15] Keys [4]: [c_customer_id#5, c_first_name#6, c_last_name#7, d_year#13] Functions [1]: [sum(UnscaledValue(ss_net_paid#9))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#9))#16] -Results [2]: [c_customer_id#5 AS customer_id#17, MakeDecimal(sum(UnscaledValue(ss_net_paid#9))#16,17,2) AS year_total#18] -(18) Filter [codegen id : 16] -Input [2]: [customer_id#17, year_total#18] -Condition : (isnotnull(year_total#18) AND (year_total#18 > 0.00)) +(17) CometFilter +Input [2]: [customer_id#16, year_total#17] +Condition : (isnotnull(year_total#17) AND (year_total#17 > 0.00)) -(19) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] +(18) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(20) CometFilter -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Condition : (isnotnull(c_customer_sk#19) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#20, 16)))) +(19) CometFilter +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Condition : (isnotnull(c_customer_sk#18) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#19, 16)))) -(21) CometProject -Input [4]: [c_customer_sk#19, c_customer_id#20, c_first_name#21, c_last_name#22] -Arguments: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25], [c_customer_sk#19, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#20, 16)) AS c_customer_id#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#21, 20)) AS c_first_name#24, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#22, 30)) AS c_last_name#25] +(20) CometProject +Input [4]: [c_customer_sk#18, c_customer_id#19, c_first_name#20, c_last_name#21] +Arguments: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24], [c_customer_sk#18, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#19, 16)) AS c_customer_id#22, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#20, 20)) AS c_first_name#23, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#21, 30)) AS c_last_name#24] -(22) CometColumnarToRow [codegen id : 6] -Input [4]: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25] +(21) CometColumnarToRow [codegen id : 6] +Input [4]: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24] -(23) Scan parquet spark_catalog.default.store_sales -Output [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(22) Scan parquet spark_catalog.default.store_sales +Output [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ss_sold_date_sk#28), dynamicpruningexpression(ss_sold_date_sk#28 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ss_sold_date_sk#27), dynamicpruningexpression(ss_sold_date_sk#27 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ss_customer_sk)] ReadSchema: struct -(24) ColumnarToRow [codegen id : 4] -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(23) ColumnarToRow [codegen id : 4] +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] -(25) Filter [codegen id : 4] -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] -Condition : isnotnull(ss_customer_sk#26) +(24) Filter [codegen id : 4] +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] +Condition : isnotnull(ss_customer_sk#25) -(26) BroadcastExchange -Input [3]: [ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] +(25) BroadcastExchange +Input [3]: [ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=3] -(27) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [c_customer_sk#19] -Right keys [1]: [ss_customer_sk#26] +(26) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [c_customer_sk#18] +Right keys [1]: [ss_customer_sk#25] Join type: Inner Join condition: None -(28) Project [codegen id : 6] -Output [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, ss_sold_date_sk#28] -Input [7]: [c_customer_sk#19, c_customer_id#23, c_first_name#24, c_last_name#25, ss_customer_sk#26, ss_net_paid#27, ss_sold_date_sk#28] - -(29) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#30, d_year#31] +(27) Project [codegen id : 6] +Output [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, ss_sold_date_sk#27] +Input [7]: [c_customer_sk#18, c_customer_id#22, c_first_name#23, c_last_name#24, ss_customer_sk#25, ss_net_paid#26, ss_sold_date_sk#27] -(30) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [ss_sold_date_sk#28] -Right keys [1]: [d_date_sk#30] -Join type: Inner -Join condition: None +(28) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#29, d_year#30] -(31) Project [codegen id : 6] -Output [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, d_year#31] -Input [7]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, ss_sold_date_sk#28, d_date_sk#30, d_year#31] - -(32) HashAggregate [codegen id : 6] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, ss_net_paid#27, d_year#31] -Keys [4]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31] -Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#27))] -Aggregate Attributes [1]: [sum#32] -Results [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] - -(33) CometColumnarExchange -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] -Arguments: hashpartitioning(c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] - -(34) CometColumnarToRow [codegen id : 7] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] - -(35) HashAggregate [codegen id : 7] -Input [5]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31, sum#33] -Keys [4]: [c_customer_id#23, c_first_name#24, c_last_name#25, d_year#31] -Functions [1]: [sum(UnscaledValue(ss_net_paid#27))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_net_paid#27))#16] -Results [4]: [c_customer_id#23 AS customer_id#34, c_first_name#24 AS customer_first_name#35, c_last_name#25 AS customer_last_name#36, MakeDecimal(sum(UnscaledValue(ss_net_paid#27))#16,17,2) AS year_total#37] - -(36) BroadcastExchange -Input [4]: [customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=5] - -(37) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#34] +(29) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [ss_sold_date_sk#27] +Right keys [1]: [d_date_sk#29] Join type: Inner Join condition: None -(38) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] +(30) Project [codegen id : 6] +Output [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, d_year#30] +Input [7]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, ss_sold_date_sk#27, d_date_sk#29, d_year#30] + +(31) HashAggregate [codegen id : 6] +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, ss_net_paid#26, d_year#30] +Keys [4]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30] +Functions [1]: [partial_sum(UnscaledValue(ss_net_paid#26))] +Aggregate Attributes [1]: [sum#31] +Results [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] + +(32) CometColumnarExchange +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] +Arguments: hashpartitioning(c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(33) CometHashAggregate +Input [5]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30, sum#32] +Keys [4]: [c_customer_id#22, c_first_name#23, c_last_name#24, d_year#30] +Functions [1]: [sum(UnscaledValue(ss_net_paid#26))] + +(34) CometBroadcastExchange +Input [4]: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Arguments: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] + +(35) CometBroadcastHashJoin +Left output [2]: [customer_id#16, year_total#17] +Right output [4]: [customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Arguments: [customer_id#16], [customer_id#33], Inner, BuildRight + +(36) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(39) CometFilter -Input [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] -Condition : (isnotnull(c_customer_sk#38) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#39, 16)))) +(37) CometFilter +Input [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] +Condition : (isnotnull(c_customer_sk#37) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#38, 16)))) -(40) CometProject -Input [4]: [c_customer_sk#38, c_customer_id#39, c_first_name#40, c_last_name#41] -Arguments: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44], [c_customer_sk#38, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#39, 16)) AS c_customer_id#42, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#40, 20)) AS c_first_name#43, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#41, 30)) AS c_last_name#44] +(38) CometProject +Input [4]: [c_customer_sk#37, c_customer_id#38, c_first_name#39, c_last_name#40] +Arguments: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43], [c_customer_sk#37, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#38, 16)) AS c_customer_id#41, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#39, 20)) AS c_first_name#42, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#40, 30)) AS c_last_name#43] -(41) CometColumnarToRow [codegen id : 10] -Input [4]: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44] +(39) CometColumnarToRow [codegen id : 9] +Input [4]: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43] -(42) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(40) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#47), dynamicpruningexpression(ws_sold_date_sk#47 IN dynamicpruning#11)] +PartitionFilters: [isnotnull(ws_sold_date_sk#46), dynamicpruningexpression(ws_sold_date_sk#46 IN dynamicpruning#11)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(43) ColumnarToRow [codegen id : 8] -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(41) ColumnarToRow [codegen id : 7] +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] -(44) Filter [codegen id : 8] -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] -Condition : isnotnull(ws_bill_customer_sk#45) +(42) Filter [codegen id : 7] +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] +Condition : isnotnull(ws_bill_customer_sk#44) -(45) BroadcastExchange -Input [3]: [ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=6] +(43) BroadcastExchange +Input [3]: [ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=5] -(46) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [c_customer_sk#38] -Right keys [1]: [ws_bill_customer_sk#45] +(44) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [c_customer_sk#37] +Right keys [1]: [ws_bill_customer_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 10] -Output [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, ws_sold_date_sk#47] -Input [7]: [c_customer_sk#38, c_customer_id#42, c_first_name#43, c_last_name#44, ws_bill_customer_sk#45, ws_net_paid#46, ws_sold_date_sk#47] +(45) Project [codegen id : 9] +Output [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, ws_sold_date_sk#46] +Input [7]: [c_customer_sk#37, c_customer_id#41, c_first_name#42, c_last_name#43, ws_bill_customer_sk#44, ws_net_paid#45, ws_sold_date_sk#46] -(48) ReusedExchange [Reuses operator id: 83] -Output [2]: [d_date_sk#48, d_year#49] +(46) ReusedExchange [Reuses operator id: 80] +Output [2]: [d_date_sk#47, d_year#48] -(49) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [ws_sold_date_sk#47] -Right keys [1]: [d_date_sk#48] +(47) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [ws_sold_date_sk#46] +Right keys [1]: [d_date_sk#47] Join type: Inner Join condition: None -(50) Project [codegen id : 10] -Output [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, d_year#49] -Input [7]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, ws_sold_date_sk#47, d_date_sk#48, d_year#49] - -(51) HashAggregate [codegen id : 10] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, ws_net_paid#46, d_year#49] -Keys [4]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#46))] -Aggregate Attributes [1]: [sum#50] -Results [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] - -(52) CometColumnarExchange -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] -Arguments: hashpartitioning(c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(53) CometColumnarToRow [codegen id : 11] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] - -(54) HashAggregate [codegen id : 11] -Input [5]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49, sum#51] -Keys [4]: [c_customer_id#42, c_first_name#43, c_last_name#44, d_year#49] -Functions [1]: [sum(UnscaledValue(ws_net_paid#46))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#46))#52] -Results [2]: [c_customer_id#42 AS customer_id#53, MakeDecimal(sum(UnscaledValue(ws_net_paid#46))#52,17,2) AS year_total#54] - -(55) Filter [codegen id : 11] -Input [2]: [customer_id#53, year_total#54] -Condition : (isnotnull(year_total#54) AND (year_total#54 > 0.00)) - -(56) BroadcastExchange -Input [2]: [customer_id#53, year_total#54] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=8] - -(57) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#53] -Join type: Inner -Join condition: None - -(58) Project [codegen id : 16] -Output [7]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, year_total#54] -Input [8]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, customer_id#53, year_total#54] - -(59) CometNativeScan parquet spark_catalog.default.customer -Output [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] +(48) Project [codegen id : 9] +Output [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, d_year#48] +Input [7]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, ws_sold_date_sk#46, d_date_sk#47, d_year#48] + +(49) HashAggregate [codegen id : 9] +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, ws_net_paid#45, d_year#48] +Keys [4]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#45))] +Aggregate Attributes [1]: [sum#49] +Results [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] + +(50) CometColumnarExchange +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] +Arguments: hashpartitioning(c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] + +(51) CometHashAggregate +Input [5]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48, sum#50] +Keys [4]: [c_customer_id#41, c_first_name#42, c_last_name#43, d_year#48] +Functions [1]: [sum(UnscaledValue(ws_net_paid#45))] + +(52) CometFilter +Input [2]: [customer_id#51, year_total#52] +Condition : (isnotnull(year_total#52) AND (year_total#52 > 0.00)) + +(53) CometBroadcastExchange +Input [2]: [customer_id#51, year_total#52] +Arguments: [customer_id#51, year_total#52] + +(54) CometBroadcastHashJoin +Left output [6]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36] +Right output [2]: [customer_id#51, year_total#52] +Arguments: [customer_id#16], [customer_id#51], Inner, BuildRight + +(55) CometProject +Input [8]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, customer_id#51, year_total#52] +Arguments: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52], [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52] + +(56) CometNativeScan parquet spark_catalog.default.customer +Output [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] Batched: true Location [not included in comparison]/{warehouse_dir}/customer] PushedFilters: [IsNotNull(c_customer_sk)] ReadSchema: struct -(60) CometFilter -Input [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] -Condition : (isnotnull(c_customer_sk#55) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)))) +(57) CometFilter +Input [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] +Condition : (isnotnull(c_customer_sk#53) AND isnotnull(static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)))) -(61) CometProject -Input [4]: [c_customer_sk#55, c_customer_id#56, c_first_name#57, c_last_name#58] -Arguments: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61], [c_customer_sk#55, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#56, 16)) AS c_customer_id#59, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#57, 20)) AS c_first_name#60, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#58, 30)) AS c_last_name#61] +(58) CometProject +Input [4]: [c_customer_sk#53, c_customer_id#54, c_first_name#55, c_last_name#56] +Arguments: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59], [c_customer_sk#53, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_customer_id#54, 16)) AS c_customer_id#57, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_first_name#55, 20)) AS c_first_name#58, static_invoke(CharVarcharCodegenUtils.readSidePadding(c_last_name#56, 30)) AS c_last_name#59] -(62) CometColumnarToRow [codegen id : 14] -Input [4]: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61] +(59) CometColumnarToRow [codegen id : 12] +Input [4]: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59] -(63) Scan parquet spark_catalog.default.web_sales -Output [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(60) Scan parquet spark_catalog.default.web_sales +Output [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#64), dynamicpruningexpression(ws_sold_date_sk#64 IN dynamicpruning#29)] +PartitionFilters: [isnotnull(ws_sold_date_sk#62), dynamicpruningexpression(ws_sold_date_sk#62 IN dynamicpruning#28)] PushedFilters: [IsNotNull(ws_bill_customer_sk)] ReadSchema: struct -(64) ColumnarToRow [codegen id : 12] -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(61) ColumnarToRow [codegen id : 10] +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] -(65) Filter [codegen id : 12] -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] -Condition : isnotnull(ws_bill_customer_sk#62) +(62) Filter [codegen id : 10] +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] +Condition : isnotnull(ws_bill_customer_sk#60) -(66) BroadcastExchange -Input [3]: [ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] +(63) BroadcastExchange +Input [3]: [ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(67) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [c_customer_sk#55] -Right keys [1]: [ws_bill_customer_sk#62] +(64) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [c_customer_sk#53] +Right keys [1]: [ws_bill_customer_sk#60] Join type: Inner Join condition: None -(68) Project [codegen id : 14] -Output [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, ws_sold_date_sk#64] -Input [7]: [c_customer_sk#55, c_customer_id#59, c_first_name#60, c_last_name#61, ws_bill_customer_sk#62, ws_net_paid#63, ws_sold_date_sk#64] +(65) Project [codegen id : 12] +Output [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, ws_sold_date_sk#62] +Input [7]: [c_customer_sk#53, c_customer_id#57, c_first_name#58, c_last_name#59, ws_bill_customer_sk#60, ws_net_paid#61, ws_sold_date_sk#62] -(69) ReusedExchange [Reuses operator id: 87] -Output [2]: [d_date_sk#65, d_year#66] +(66) ReusedExchange [Reuses operator id: 84] +Output [2]: [d_date_sk#63, d_year#64] -(70) BroadcastHashJoin [codegen id : 14] -Left keys [1]: [ws_sold_date_sk#64] -Right keys [1]: [d_date_sk#65] +(67) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [ws_sold_date_sk#62] +Right keys [1]: [d_date_sk#63] Join type: Inner Join condition: None -(71) Project [codegen id : 14] -Output [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, d_year#66] -Input [7]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, ws_sold_date_sk#64, d_date_sk#65, d_year#66] - -(72) HashAggregate [codegen id : 14] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, ws_net_paid#63, d_year#66] -Keys [4]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66] -Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#63))] -Aggregate Attributes [1]: [sum#67] -Results [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] - -(73) CometColumnarExchange -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] -Arguments: hashpartitioning(c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(74) CometColumnarToRow [codegen id : 15] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] - -(75) HashAggregate [codegen id : 15] -Input [5]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66, sum#68] -Keys [4]: [c_customer_id#59, c_first_name#60, c_last_name#61, d_year#66] -Functions [1]: [sum(UnscaledValue(ws_net_paid#63))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#63))#52] -Results [2]: [c_customer_id#59 AS customer_id#69, MakeDecimal(sum(UnscaledValue(ws_net_paid#63))#52,17,2) AS year_total#70] - -(76) BroadcastExchange -Input [2]: [customer_id#69, year_total#70] -Arguments: HashedRelationBroadcastMode(List(input[0, string, true]),false), [plan_id=11] - -(77) BroadcastHashJoin [codegen id : 16] -Left keys [1]: [customer_id#17] -Right keys [1]: [customer_id#69] -Join type: Inner -Join condition: (CASE WHEN (year_total#54 > 0.00) THEN (year_total#70 / year_total#54) END > CASE WHEN (year_total#18 > 0.00) THEN (year_total#37 / year_total#18) END) +(68) Project [codegen id : 12] +Output [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, d_year#64] +Input [7]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, ws_sold_date_sk#62, d_date_sk#63, d_year#64] + +(69) HashAggregate [codegen id : 12] +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, ws_net_paid#61, d_year#64] +Keys [4]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64] +Functions [1]: [partial_sum(UnscaledValue(ws_net_paid#61))] +Aggregate Attributes [1]: [sum#65] +Results [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] + +(70) CometColumnarExchange +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] +Arguments: hashpartitioning(c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(71) CometHashAggregate +Input [5]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64, sum#66] +Keys [4]: [c_customer_id#57, c_first_name#58, c_last_name#59, d_year#64] +Functions [1]: [sum(UnscaledValue(ws_net_paid#61))] -(78) Project [codegen id : 16] -Output [3]: [customer_id#34, customer_first_name#35, customer_last_name#36] -Input [9]: [customer_id#17, year_total#18, customer_id#34, customer_first_name#35, customer_last_name#36, year_total#37, year_total#54, customer_id#69, year_total#70] +(72) CometBroadcastExchange +Input [2]: [customer_id#67, year_total#68] +Arguments: [customer_id#67, year_total#68] -(79) TakeOrderedAndProject -Input [3]: [customer_id#34, customer_first_name#35, customer_last_name#36] -Arguments: 100, [customer_first_name#35 ASC NULLS FIRST, customer_id#34 ASC NULLS FIRST, customer_last_name#36 ASC NULLS FIRST], [customer_id#34, customer_first_name#35, customer_last_name#36] +(73) CometBroadcastHashJoin +Left output [7]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52] +Right output [2]: [customer_id#67, year_total#68] +Arguments: [customer_id#16], [customer_id#67], Inner, (CASE WHEN (year_total#52 > 0.00) THEN (year_total#68 / year_total#52) END > CASE WHEN (year_total#17 > 0.00) THEN (year_total#36 / year_total#17) END), BuildRight + +(74) CometProject +Input [9]: [customer_id#16, year_total#17, customer_id#33, customer_first_name#34, customer_last_name#35, year_total#36, year_total#52, customer_id#67, year_total#68] +Arguments: [customer_id#33, customer_first_name#34, customer_last_name#35], [customer_id#33, customer_first_name#34, customer_last_name#35] + +(75) CometTakeOrderedAndProject +Input [3]: [customer_id#33, customer_first_name#34, customer_last_name#35] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[customer_first_name#34 ASC NULLS FIRST,customer_id#33 ASC NULLS FIRST,customer_last_name#35 ASC NULLS FIRST], output=[customer_id#33,customer_first_name#34,customer_last_name#35]), [customer_id#33, customer_first_name#34, customer_last_name#35], 100, 0, [customer_first_name#34 ASC NULLS FIRST, customer_id#33 ASC NULLS FIRST, customer_last_name#35 ASC NULLS FIRST], [customer_id#33, customer_first_name#34, customer_last_name#35] + +(76) CometColumnarToRow [codegen id : 13] +Input [3]: [customer_id#33, customer_first_name#34, customer_last_name#35] ===== Subqueries ===== Subquery:1 Hosting operator id = 5 Hosting Expression = ss_sold_date_sk#10 IN dynamicpruning#11 -BroadcastExchange (83) -+- * CometColumnarToRow (82) - +- CometFilter (81) - +- CometNativeScan parquet spark_catalog.default.date_dim (80) +BroadcastExchange (80) ++- * CometColumnarToRow (79) + +- CometFilter (78) + +- CometNativeScan parquet spark_catalog.default.date_dim (77) -(80) CometNativeScan parquet spark_catalog.default.date_dim +(77) CometNativeScan parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#12, d_year#13] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2001), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(81) CometFilter +(78) CometFilter Input [2]: [d_date_sk#12, d_year#13] Condition : (((isnotnull(d_year#13) AND (d_year#13 = 2001)) AND d_year#13 IN (2001,2002)) AND isnotnull(d_date_sk#12)) -(82) CometColumnarToRow [codegen id : 1] +(79) CometColumnarToRow [codegen id : 1] Input [2]: [d_date_sk#12, d_year#13] -(83) BroadcastExchange +(80) BroadcastExchange Input [2]: [d_date_sk#12, d_year#13] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=12] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=9] -Subquery:2 Hosting operator id = 23 Hosting Expression = ss_sold_date_sk#28 IN dynamicpruning#29 -BroadcastExchange (87) -+- * CometColumnarToRow (86) - +- CometFilter (85) - +- CometNativeScan parquet spark_catalog.default.date_dim (84) +Subquery:2 Hosting operator id = 22 Hosting Expression = ss_sold_date_sk#27 IN dynamicpruning#28 +BroadcastExchange (84) ++- * CometColumnarToRow (83) + +- CometFilter (82) + +- CometNativeScan parquet spark_catalog.default.date_dim (81) -(84) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#30, d_year#31] +(81) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#29, d_year#30] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_year), EqualTo(d_year,2002), In(d_year, [2001,2002]), IsNotNull(d_date_sk)] ReadSchema: struct -(85) CometFilter -Input [2]: [d_date_sk#30, d_year#31] -Condition : (((isnotnull(d_year#31) AND (d_year#31 = 2002)) AND d_year#31 IN (2001,2002)) AND isnotnull(d_date_sk#30)) +(82) CometFilter +Input [2]: [d_date_sk#29, d_year#30] +Condition : (((isnotnull(d_year#30) AND (d_year#30 = 2002)) AND d_year#30 IN (2001,2002)) AND isnotnull(d_date_sk#29)) -(86) CometColumnarToRow [codegen id : 1] -Input [2]: [d_date_sk#30, d_year#31] +(83) CometColumnarToRow [codegen id : 1] +Input [2]: [d_date_sk#29, d_year#30] -(87) BroadcastExchange -Input [2]: [d_date_sk#30, d_year#31] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=13] +(84) BroadcastExchange +Input [2]: [d_date_sk#29, d_year#30] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=10] -Subquery:3 Hosting operator id = 42 Hosting Expression = ws_sold_date_sk#47 IN dynamicpruning#11 +Subquery:3 Hosting operator id = 40 Hosting Expression = ws_sold_date_sk#46 IN dynamicpruning#11 -Subquery:4 Hosting operator id = 63 Hosting Expression = ws_sold_date_sk#64 IN dynamicpruning#29 +Subquery:4 Hosting operator id = 60 Hosting Expression = ws_sold_date_sk#62 IN dynamicpruning#28 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/extended.txt index 0d59f7b833..c04e06f8d8 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/extended.txt @@ -1,87 +1,84 @@ -TakeOrderedAndProject -+- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- BroadcastHashJoin - : : :- Filter - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : : +- BroadcastExchange - : : : : +- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.customer - : : : +- BroadcastExchange - : : : +- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- Filter - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.customer - : : +- BroadcastExchange - : : +- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow +CometColumnarToRow ++- CometTakeOrderedAndProject + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : : +- BroadcastExchange + : : : : +- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.customer + : : : +- BroadcastExchange + : : : +- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.customer + : : +- BroadcastExchange + : : +- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometHashAggregate +- CometColumnarExchange +- HashAggregate +- Project @@ -102,4 +99,4 @@ TakeOrderedAndProject +- CometFilter +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 28 out of 85 eligible operators (32%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 43 out of 85 eligible operators (50%). Final plan contains 15 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/simplified.txt index 9a8a029e1b..d2caf285ec 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q74.native_datafusion/simplified.txt @@ -1,14 +1,14 @@ -TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] - WholeStageCodegen (16) - Project [customer_id,customer_first_name,customer_last_name] - BroadcastHashJoin [customer_id,customer_id,year_total,year_total,year_total,year_total] - Project [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] - BroadcastHashJoin [customer_id,customer_id] - BroadcastHashJoin [customer_id,customer_id] - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter +WholeStageCodegen (13) + CometColumnarToRow + InputAdapter + CometTakeOrderedAndProject [customer_id,customer_first_name,customer_last_name] + CometProject [customer_id,customer_first_name,customer_last_name] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total,customer_id,year_total] + CometProject [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total,customer_id,year_total] + CometBroadcastHashJoin [customer_id,year_total,customer_id,customer_first_name,customer_last_name,year_total] + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ss_net_paid))] CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #1 WholeStageCodegen (3) HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] @@ -37,94 +37,82 @@ TakeOrderedAndProject [customer_first_name,customer_id,customer_last_name] CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] InputAdapter ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #4 - WholeStageCodegen (7) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ss_net_paid)),customer_id,customer_first_name,customer_last_name,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 - WholeStageCodegen (6) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ss_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (4) - Filter [ss_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #2 - BroadcastExchange #7 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometFilter [d_date_sk,d_year] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] - InputAdapter - ReusedExchange [d_date_sk,d_year] #7 - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - Filter [year_total] - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 - WholeStageCodegen (10) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow - InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #10 - WholeStageCodegen (8) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 + CometBroadcastExchange [customer_id,customer_first_name,customer_last_name,year_total] #4 + CometHashAggregate [d_year,sum] [customer_id,customer_first_name,customer_last_name,year_total,c_customer_id,c_first_name,c_last_name,sum(UnscaledValue(ss_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #5 + WholeStageCodegen (6) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ss_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,d_year] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ss_net_paid,ss_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ss_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #3 - InputAdapter - BroadcastExchange #11 - WholeStageCodegen (15) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,sum] [sum(UnscaledValue(ws_net_paid)),customer_id,year_total,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 - WholeStageCodegen (14) - HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] - BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] - CometColumnarToRow + BroadcastExchange #6 + WholeStageCodegen (4) + Filter [ss_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_customer_sk,ss_net_paid,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #2 + BroadcastExchange #7 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometFilter [d_date_sk,d_year] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_year] + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 + CometBroadcastExchange [customer_id,year_total] #8 + CometFilter [customer_id,year_total] + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #9 + WholeStageCodegen (9) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] - CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (12) - Filter [ws_bill_customer_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #2 + BroadcastExchange #10 + WholeStageCodegen (7) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk,d_year] #3 + CometBroadcastExchange [customer_id,year_total] #11 + CometHashAggregate [c_first_name,c_last_name,d_year,sum] [customer_id,year_total,c_customer_id,sum(UnscaledValue(ws_net_paid))] + CometColumnarExchange [c_customer_id,c_first_name,c_last_name,d_year] #12 + WholeStageCodegen (12) + HashAggregate [c_customer_id,c_first_name,c_last_name,d_year,ws_net_paid] [sum,sum] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,d_year] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Project [c_customer_id,c_first_name,c_last_name,ws_net_paid,ws_sold_date_sk] + BroadcastHashJoin [c_customer_sk,ws_bill_customer_sk] + CometColumnarToRow + InputAdapter + CometProject [c_customer_id,c_first_name,c_last_name] [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometFilter [c_customer_sk,c_customer_id,c_first_name,c_last_name] + CometNativeScan parquet spark_catalog.default.customer [c_customer_sk,c_customer_id,c_first_name,c_last_name] InputAdapter - ReusedExchange [d_date_sk,d_year] #7 + BroadcastExchange #13 + WholeStageCodegen (10) + Filter [ws_bill_customer_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_bill_customer_sk,ws_net_paid,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #2 + InputAdapter + ReusedExchange [d_date_sk,d_year] #7 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/explain.txt index 6df18600ea..d87a7984ba 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/explain.txt @@ -1,114 +1,107 @@ == Physical Plan == -* CometColumnarToRow (110) -+- CometTakeOrderedAndProject (109) - +- CometHashAggregate (108) - +- CometColumnarExchange (107) - +- * HashAggregate (106) - +- Union (105) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- Union (86) - : :- * Project (32) - : : +- * BroadcastHashJoin LeftOuter BuildRight (31) - : : :- * HashAggregate (16) - : : : +- * CometColumnarToRow (15) - : : : +- CometColumnarExchange (14) - : : : +- * HashAggregate (13) - : : : +- * Project (12) - : : : +- * BroadcastHashJoin Inner BuildRight (11) - : : : :- * Project (6) - : : : : +- * BroadcastHashJoin Inner BuildRight (5) - : : : : :- * Filter (3) - : : : : : +- * ColumnarToRow (2) - : : : : : +- Scan parquet spark_catalog.default.store_sales (1) - : : : : +- ReusedExchange (4) - : : : +- BroadcastExchange (10) - : : : +- * CometColumnarToRow (9) - : : : +- CometFilter (8) - : : : +- CometNativeScan parquet spark_catalog.default.store (7) - : : +- BroadcastExchange (30) - : : +- * HashAggregate (29) - : : +- * CometColumnarToRow (28) - : : +- CometColumnarExchange (27) - : : +- * HashAggregate (26) - : : +- * Project (25) - : : +- * BroadcastHashJoin Inner BuildRight (24) - : : :- * Project (22) - : : : +- * BroadcastHashJoin Inner BuildRight (21) - : : : :- * Filter (19) - : : : : +- * ColumnarToRow (18) - : : : : +- Scan parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (20) - : : +- ReusedExchange (23) - : :- * Project (53) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (52) - : : :- BroadcastExchange (42) - : : : +- * HashAggregate (41) - : : : +- * CometColumnarToRow (40) - : : : +- CometColumnarExchange (39) - : : : +- * HashAggregate (38) - : : : +- * Project (37) - : : : +- * BroadcastHashJoin Inner BuildRight (36) - : : : :- * ColumnarToRow (34) - : : : : +- Scan parquet spark_catalog.default.catalog_sales (33) - : : : +- ReusedExchange (35) - : : +- * HashAggregate (51) - : : +- * CometColumnarToRow (50) - : : +- CometColumnarExchange (49) - : : +- * HashAggregate (48) - : : +- * Project (47) - : : +- * BroadcastHashJoin Inner BuildRight (46) - : : :- * ColumnarToRow (44) - : : : +- Scan parquet spark_catalog.default.catalog_returns (43) - : : +- ReusedExchange (45) - : +- * Project (85) - : +- * BroadcastHashJoin LeftOuter BuildRight (84) - : :- * HashAggregate (69) - : : +- * CometColumnarToRow (68) - : : +- CometColumnarExchange (67) - : : +- * HashAggregate (66) - : : +- * Project (65) - : : +- * BroadcastHashJoin Inner BuildRight (64) - : : :- * Project (59) - : : : +- * BroadcastHashJoin Inner BuildRight (58) - : : : :- * Filter (56) - : : : : +- * ColumnarToRow (55) - : : : : +- Scan parquet spark_catalog.default.web_sales (54) - : : : +- ReusedExchange (57) - : : +- BroadcastExchange (63) - : : +- * CometColumnarToRow (62) - : : +- CometFilter (61) - : : +- CometNativeScan parquet spark_catalog.default.web_page (60) - : +- BroadcastExchange (83) - : +- * HashAggregate (82) - : +- * CometColumnarToRow (81) - : +- CometColumnarExchange (80) - : +- * HashAggregate (79) - : +- * Project (78) - : +- * BroadcastHashJoin Inner BuildRight (77) - : :- * Project (75) - : : +- * BroadcastHashJoin Inner BuildRight (74) - : : :- * Filter (72) - : : : +- * ColumnarToRow (71) - : : : +- Scan parquet spark_catalog.default.web_returns (70) - : : +- ReusedExchange (73) - : +- ReusedExchange (76) - :- * HashAggregate (97) - : +- * CometColumnarToRow (96) - : +- CometColumnarExchange (95) - : +- * HashAggregate (94) - : +- * HashAggregate (93) - : +- * CometColumnarToRow (92) - : +- ReusedExchange (91) - +- * HashAggregate (104) - +- * CometColumnarToRow (103) - +- CometColumnarExchange (102) - +- * HashAggregate (101) - +- * HashAggregate (100) - +- * CometColumnarToRow (99) - +- ReusedExchange (98) +* CometColumnarToRow (103) ++- CometTakeOrderedAndProject (102) + +- CometHashAggregate (101) + +- CometExchange (100) + +- CometHashAggregate (99) + +- CometUnion (98) + :- CometHashAggregate (87) + : +- CometColumnarExchange (86) + : +- * HashAggregate (85) + : +- Union (84) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (15) + : : : +- CometColumnarExchange (14) + : : : +- * HashAggregate (13) + : : : +- * Project (12) + : : : +- * BroadcastHashJoin Inner BuildRight (11) + : : : :- * Project (6) + : : : : +- * BroadcastHashJoin Inner BuildRight (5) + : : : : :- * Filter (3) + : : : : : +- * ColumnarToRow (2) + : : : : : +- Scan parquet spark_catalog.default.store_sales (1) + : : : : +- ReusedExchange (4) + : : : +- BroadcastExchange (10) + : : : +- * CometColumnarToRow (9) + : : : +- CometFilter (8) + : : : +- CometNativeScan parquet spark_catalog.default.store (7) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometColumnarExchange (26) + : : +- * HashAggregate (25) + : : +- * Project (24) + : : +- * BroadcastHashJoin Inner BuildRight (23) + : : :- * Project (21) + : : : +- * BroadcastHashJoin Inner BuildRight (20) + : : : :- * Filter (18) + : : : : +- * ColumnarToRow (17) + : : : : +- Scan parquet spark_catalog.default.store_returns (16) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (52) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (51) + : : :- BroadcastExchange (41) + : : : +- * CometColumnarToRow (40) + : : : +- CometHashAggregate (39) + : : : +- CometColumnarExchange (38) + : : : +- * HashAggregate (37) + : : : +- * Project (36) + : : : +- * BroadcastHashJoin Inner BuildRight (35) + : : : :- * ColumnarToRow (33) + : : : : +- Scan parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (34) + : : +- * CometColumnarToRow (50) + : : +- CometHashAggregate (49) + : : +- CometColumnarExchange (48) + : : +- * HashAggregate (47) + : : +- * Project (46) + : : +- * BroadcastHashJoin Inner BuildRight (45) + : : :- * ColumnarToRow (43) + : : : +- Scan parquet spark_catalog.default.catalog_returns (42) + : : +- ReusedExchange (44) + : +- * CometColumnarToRow (83) + : +- CometProject (82) + : +- CometBroadcastHashJoin (81) + : :- CometHashAggregate (67) + : : +- CometColumnarExchange (66) + : : +- * HashAggregate (65) + : : +- * Project (64) + : : +- * BroadcastHashJoin Inner BuildRight (63) + : : :- * Project (58) + : : : +- * BroadcastHashJoin Inner BuildRight (57) + : : : :- * Filter (55) + : : : : +- * ColumnarToRow (54) + : : : : +- Scan parquet spark_catalog.default.web_sales (53) + : : : +- ReusedExchange (56) + : : +- BroadcastExchange (62) + : : +- * CometColumnarToRow (61) + : : +- CometFilter (60) + : : +- CometNativeScan parquet spark_catalog.default.web_page (59) + : +- CometBroadcastExchange (80) + : +- CometHashAggregate (79) + : +- CometColumnarExchange (78) + : +- * HashAggregate (77) + : +- * Project (76) + : +- * BroadcastHashJoin Inner BuildRight (75) + : :- * Project (73) + : : +- * BroadcastHashJoin Inner BuildRight (72) + : : :- * Filter (70) + : : : +- * ColumnarToRow (69) + : : : +- Scan parquet spark_catalog.default.web_returns (68) + : : +- ReusedExchange (71) + : +- ReusedExchange (74) + :- CometHashAggregate (92) + : +- CometExchange (91) + : +- CometHashAggregate (90) + : +- CometHashAggregate (89) + : +- ReusedExchange (88) + +- CometHashAggregate (97) + +- CometExchange (96) + +- CometHashAggregate (95) + +- CometHashAggregate (94) + +- ReusedExchange (93) (1) Scan parquet spark_catalog.default.store_sales @@ -126,7 +119,7 @@ Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_s Input [4]: [ss_store_sk#1, ss_ext_sales_price#2, ss_net_profit#3, ss_sold_date_sk#4] Condition : isnotnull(ss_store_sk#1) -(4) ReusedExchange [Reuses operator id: 115] +(4) ReusedExchange [Reuses operator id: 108] Output [1]: [d_date_sk#6] (5) BroadcastHashJoin [codegen id : 3] @@ -178,501 +171,453 @@ Results [3]: [s_store_sk#7, sum#10, sum#11] Input [3]: [s_store_sk#7, sum#10, sum#11] Arguments: hashpartitioning(s_store_sk#7, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(15) CometColumnarToRow [codegen id : 8] -Input [3]: [s_store_sk#7, sum#10, sum#11] - -(16) HashAggregate [codegen id : 8] +(15) CometHashAggregate Input [3]: [s_store_sk#7, sum#10, sum#11] Keys [1]: [s_store_sk#7] Functions [2]: [sum(UnscaledValue(ss_ext_sales_price#2)), sum(UnscaledValue(ss_net_profit#3))] -Aggregate Attributes [2]: [sum(UnscaledValue(ss_ext_sales_price#2))#12, sum(UnscaledValue(ss_net_profit#3))#13] -Results [3]: [s_store_sk#7, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#12,17,2) AS sales#14, MakeDecimal(sum(UnscaledValue(ss_net_profit#3))#13,17,2) AS profit#15] -(17) Scan parquet spark_catalog.default.store_returns -Output [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(16) Scan parquet spark_catalog.default.store_returns +Output [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(sr_returned_date_sk#19), dynamicpruningexpression(sr_returned_date_sk#19 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(sr_returned_date_sk#15), dynamicpruningexpression(sr_returned_date_sk#15 IN dynamicpruning#5)] PushedFilters: [IsNotNull(sr_store_sk)] ReadSchema: struct -(18) ColumnarToRow [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] +(17) ColumnarToRow [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] -(19) Filter [codegen id : 6] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19] -Condition : isnotnull(sr_store_sk#16) +(18) Filter [codegen id : 6] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15] +Condition : isnotnull(sr_store_sk#12) -(20) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#20] +(19) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#16] -(21) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_returned_date_sk#19] -Right keys [1]: [d_date_sk#20] +(20) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_returned_date_sk#15] +Right keys [1]: [d_date_sk#16] Join type: Inner Join condition: None -(22) Project [codegen id : 6] -Output [3]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18] -Input [5]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, sr_returned_date_sk#19, d_date_sk#20] +(21) Project [codegen id : 6] +Output [3]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14] +Input [5]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, sr_returned_date_sk#15, d_date_sk#16] -(23) ReusedExchange [Reuses operator id: 10] -Output [1]: [s_store_sk#21] +(22) ReusedExchange [Reuses operator id: 10] +Output [1]: [s_store_sk#17] -(24) BroadcastHashJoin [codegen id : 6] -Left keys [1]: [sr_store_sk#16] -Right keys [1]: [s_store_sk#21] +(23) BroadcastHashJoin [codegen id : 6] +Left keys [1]: [sr_store_sk#12] +Right keys [1]: [s_store_sk#17] Join type: Inner Join condition: None -(25) Project [codegen id : 6] -Output [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Input [4]: [sr_store_sk#16, sr_return_amt#17, sr_net_loss#18, s_store_sk#21] - -(26) HashAggregate [codegen id : 6] -Input [3]: [sr_return_amt#17, sr_net_loss#18, s_store_sk#21] -Keys [1]: [s_store_sk#21] -Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#17)), partial_sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum#22, sum#23] -Results [3]: [s_store_sk#21, sum#24, sum#25] - -(27) CometColumnarExchange -Input [3]: [s_store_sk#21, sum#24, sum#25] -Arguments: hashpartitioning(s_store_sk#21, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] - -(28) CometColumnarToRow [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] - -(29) HashAggregate [codegen id : 7] -Input [3]: [s_store_sk#21, sum#24, sum#25] -Keys [1]: [s_store_sk#21] -Functions [2]: [sum(UnscaledValue(sr_return_amt#17)), sum(UnscaledValue(sr_net_loss#18))] -Aggregate Attributes [2]: [sum(UnscaledValue(sr_return_amt#17))#26, sum(UnscaledValue(sr_net_loss#18))#27] -Results [3]: [s_store_sk#21, MakeDecimal(sum(UnscaledValue(sr_return_amt#17))#26,17,2) AS returns#28, MakeDecimal(sum(UnscaledValue(sr_net_loss#18))#27,17,2) AS profit_loss#29] - -(30) BroadcastExchange -Input [3]: [s_store_sk#21, returns#28, profit_loss#29] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=4] - -(31) BroadcastHashJoin [codegen id : 8] -Left keys [1]: [s_store_sk#7] -Right keys [1]: [s_store_sk#21] -Join type: LeftOuter -Join condition: None +(24) Project [codegen id : 6] +Output [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Input [4]: [sr_store_sk#12, sr_return_amt#13, sr_net_loss#14, s_store_sk#17] + +(25) HashAggregate [codegen id : 6] +Input [3]: [sr_return_amt#13, sr_net_loss#14, s_store_sk#17] +Keys [1]: [s_store_sk#17] +Functions [2]: [partial_sum(UnscaledValue(sr_return_amt#13)), partial_sum(UnscaledValue(sr_net_loss#14))] +Aggregate Attributes [2]: [sum#18, sum#19] +Results [3]: [s_store_sk#17, sum#20, sum#21] + +(26) CometColumnarExchange +Input [3]: [s_store_sk#17, sum#20, sum#21] +Arguments: hashpartitioning(s_store_sk#17, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] + +(27) CometHashAggregate +Input [3]: [s_store_sk#17, sum#20, sum#21] +Keys [1]: [s_store_sk#17] +Functions [2]: [sum(UnscaledValue(sr_return_amt#13)), sum(UnscaledValue(sr_net_loss#14))] + +(28) CometBroadcastExchange +Input [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#17, returns#22, profit_loss#23] -(32) Project [codegen id : 8] -Output [5]: [store channel AS channel#30, s_store_sk#7 AS id#31, sales#14, coalesce(returns#28, 0.00) AS returns#32, (profit#15 - coalesce(profit_loss#29, 0.00)) AS profit#33] -Input [6]: [s_store_sk#7, sales#14, profit#15, s_store_sk#21, returns#28, profit_loss#29] +(29) CometBroadcastHashJoin +Left output [3]: [s_store_sk#7, sales#24, profit#25] +Right output [3]: [s_store_sk#17, returns#22, profit_loss#23] +Arguments: [s_store_sk#7], [s_store_sk#17], LeftOuter, BuildRight -(33) Scan parquet spark_catalog.default.catalog_sales -Output [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(30) CometProject +Input [6]: [s_store_sk#7, sales#24, profit#25, s_store_sk#17, returns#22, profit_loss#23] +Arguments: [channel#26, id#27, sales#24, returns#28, profit#29], [store channel AS channel#26, s_store_sk#7 AS id#27, sales#24, coalesce(returns#22, 0.00) AS returns#28, (profit#25 - coalesce(profit_loss#23, 0.00)) AS profit#29] + +(31) CometColumnarToRow [codegen id : 7] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] + +(32) Scan parquet spark_catalog.default.catalog_sales +Output [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cs_sold_date_sk#37), dynamicpruningexpression(cs_sold_date_sk#37 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cs_sold_date_sk#33), dynamicpruningexpression(cs_sold_date_sk#33 IN dynamicpruning#5)] ReadSchema: struct -(34) ColumnarToRow [codegen id : 10] -Input [4]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37] +(33) ColumnarToRow [codegen id : 9] +Input [4]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33] -(35) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#38] +(34) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#34] -(36) BroadcastHashJoin [codegen id : 10] -Left keys [1]: [cs_sold_date_sk#37] -Right keys [1]: [d_date_sk#38] +(35) BroadcastHashJoin [codegen id : 9] +Left keys [1]: [cs_sold_date_sk#33] +Right keys [1]: [d_date_sk#34] Join type: Inner Join condition: None -(37) Project [codegen id : 10] -Output [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Input [5]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36, cs_sold_date_sk#37, d_date_sk#38] - -(38) HashAggregate [codegen id : 10] -Input [3]: [cs_call_center_sk#34, cs_ext_sales_price#35, cs_net_profit#36] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#35)), partial_sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum#39, sum#40] -Results [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(39) CometColumnarExchange -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Arguments: hashpartitioning(cs_call_center_sk#34, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] - -(40) CometColumnarToRow [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] - -(41) HashAggregate [codegen id : 11] -Input [3]: [cs_call_center_sk#34, sum#41, sum#42] -Keys [1]: [cs_call_center_sk#34] -Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#35)), sum(UnscaledValue(cs_net_profit#36))] -Aggregate Attributes [2]: [sum(UnscaledValue(cs_ext_sales_price#35))#43, sum(UnscaledValue(cs_net_profit#36))#44] -Results [3]: [cs_call_center_sk#34, MakeDecimal(sum(UnscaledValue(cs_ext_sales_price#35))#43,17,2) AS sales#45, MakeDecimal(sum(UnscaledValue(cs_net_profit#36))#44,17,2) AS profit#46] - -(42) BroadcastExchange -Input [3]: [cs_call_center_sk#34, sales#45, profit#46] -Arguments: IdentityBroadcastMode, [plan_id=6] - -(43) Scan parquet spark_catalog.default.catalog_returns -Output [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(36) Project [codegen id : 9] +Output [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Input [5]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32, cs_sold_date_sk#33, d_date_sk#34] + +(37) HashAggregate [codegen id : 9] +Input [3]: [cs_call_center_sk#30, cs_ext_sales_price#31, cs_net_profit#32] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [partial_sum(UnscaledValue(cs_ext_sales_price#31)), partial_sum(UnscaledValue(cs_net_profit#32))] +Aggregate Attributes [2]: [sum#35, sum#36] +Results [3]: [cs_call_center_sk#30, sum#37, sum#38] + +(38) CometColumnarExchange +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Arguments: hashpartitioning(cs_call_center_sk#30, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] + +(39) CometHashAggregate +Input [3]: [cs_call_center_sk#30, sum#37, sum#38] +Keys [1]: [cs_call_center_sk#30] +Functions [2]: [sum(UnscaledValue(cs_ext_sales_price#31)), sum(UnscaledValue(cs_net_profit#32))] + +(40) CometColumnarToRow [codegen id : 10] +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] + +(41) BroadcastExchange +Input [3]: [cs_call_center_sk#30, sales#39, profit#40] +Arguments: IdentityBroadcastMode, [plan_id=5] + +(42) Scan parquet spark_catalog.default.catalog_returns +Output [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(cr_returned_date_sk#49), dynamicpruningexpression(cr_returned_date_sk#49 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(cr_returned_date_sk#43), dynamicpruningexpression(cr_returned_date_sk#43 IN dynamicpruning#5)] ReadSchema: struct -(44) ColumnarToRow [codegen id : 13] -Input [3]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49] +(43) ColumnarToRow [codegen id : 12] +Input [3]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43] -(45) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#50] +(44) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#44] -(46) BroadcastHashJoin [codegen id : 13] -Left keys [1]: [cr_returned_date_sk#49] -Right keys [1]: [d_date_sk#50] +(45) BroadcastHashJoin [codegen id : 12] +Left keys [1]: [cr_returned_date_sk#43] +Right keys [1]: [d_date_sk#44] Join type: Inner Join condition: None -(47) Project [codegen id : 13] -Output [2]: [cr_return_amount#47, cr_net_loss#48] -Input [4]: [cr_return_amount#47, cr_net_loss#48, cr_returned_date_sk#49, d_date_sk#50] +(46) Project [codegen id : 12] +Output [2]: [cr_return_amount#41, cr_net_loss#42] +Input [4]: [cr_return_amount#41, cr_net_loss#42, cr_returned_date_sk#43, d_date_sk#44] -(48) HashAggregate [codegen id : 13] -Input [2]: [cr_return_amount#47, cr_net_loss#48] +(47) HashAggregate [codegen id : 12] +Input [2]: [cr_return_amount#41, cr_net_loss#42] Keys: [] -Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#47)), partial_sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum#51, sum#52] -Results [2]: [sum#53, sum#54] +Functions [2]: [partial_sum(UnscaledValue(cr_return_amount#41)), partial_sum(UnscaledValue(cr_net_loss#42))] +Aggregate Attributes [2]: [sum#45, sum#46] +Results [2]: [sum#47, sum#48] -(49) CometColumnarExchange -Input [2]: [sum#53, sum#54] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=7] - -(50) CometColumnarToRow -Input [2]: [sum#53, sum#54] +(48) CometColumnarExchange +Input [2]: [sum#47, sum#48] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=6] -(51) HashAggregate -Input [2]: [sum#53, sum#54] +(49) CometHashAggregate +Input [2]: [sum#47, sum#48] Keys: [] -Functions [2]: [sum(UnscaledValue(cr_return_amount#47)), sum(UnscaledValue(cr_net_loss#48))] -Aggregate Attributes [2]: [sum(UnscaledValue(cr_return_amount#47))#55, sum(UnscaledValue(cr_net_loss#48))#56] -Results [2]: [MakeDecimal(sum(UnscaledValue(cr_return_amount#47))#55,17,2) AS returns#57, MakeDecimal(sum(UnscaledValue(cr_net_loss#48))#56,17,2) AS profit_loss#58] +Functions [2]: [sum(UnscaledValue(cr_return_amount#41)), sum(UnscaledValue(cr_net_loss#42))] -(52) BroadcastNestedLoopJoin [codegen id : 14] +(50) CometColumnarToRow +Input [2]: [returns#49, profit_loss#50] + +(51) BroadcastNestedLoopJoin [codegen id : 13] Join type: Inner Join condition: None -(53) Project [codegen id : 14] -Output [5]: [catalog channel AS channel#59, cs_call_center_sk#34 AS id#60, sales#45, returns#57, (profit#46 - profit_loss#58) AS profit#61] -Input [5]: [cs_call_center_sk#34, sales#45, profit#46, returns#57, profit_loss#58] +(52) Project [codegen id : 13] +Output [5]: [catalog channel AS channel#51, cs_call_center_sk#30 AS id#52, sales#39, returns#49, (profit#40 - profit_loss#50) AS profit#53] +Input [5]: [cs_call_center_sk#30, sales#39, profit#40, returns#49, profit_loss#50] -(54) Scan parquet spark_catalog.default.web_sales -Output [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(53) Scan parquet spark_catalog.default.web_sales +Output [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(ws_sold_date_sk#65), dynamicpruningexpression(ws_sold_date_sk#65 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(ws_sold_date_sk#57), dynamicpruningexpression(ws_sold_date_sk#57 IN dynamicpruning#5)] PushedFilters: [IsNotNull(ws_web_page_sk)] ReadSchema: struct -(55) ColumnarToRow [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] +(54) ColumnarToRow [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] -(56) Filter [codegen id : 17] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65] -Condition : isnotnull(ws_web_page_sk#62) +(55) Filter [codegen id : 16] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57] +Condition : isnotnull(ws_web_page_sk#54) -(57) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#66] +(56) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#58] -(58) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_sold_date_sk#65] -Right keys [1]: [d_date_sk#66] +(57) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_sold_date_sk#57] +Right keys [1]: [d_date_sk#58] Join type: Inner Join condition: None -(59) Project [codegen id : 17] -Output [3]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64] -Input [5]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, ws_sold_date_sk#65, d_date_sk#66] +(58) Project [codegen id : 16] +Output [3]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56] +Input [5]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, ws_sold_date_sk#57, d_date_sk#58] -(60) CometNativeScan parquet spark_catalog.default.web_page -Output [1]: [wp_web_page_sk#67] +(59) CometNativeScan parquet spark_catalog.default.web_page +Output [1]: [wp_web_page_sk#59] Batched: true Location [not included in comparison]/{warehouse_dir}/web_page] PushedFilters: [IsNotNull(wp_web_page_sk)] ReadSchema: struct -(61) CometFilter -Input [1]: [wp_web_page_sk#67] -Condition : isnotnull(wp_web_page_sk#67) +(60) CometFilter +Input [1]: [wp_web_page_sk#59] +Condition : isnotnull(wp_web_page_sk#59) -(62) CometColumnarToRow [codegen id : 16] -Input [1]: [wp_web_page_sk#67] +(61) CometColumnarToRow [codegen id : 15] +Input [1]: [wp_web_page_sk#59] -(63) BroadcastExchange -Input [1]: [wp_web_page_sk#67] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=8] +(62) BroadcastExchange +Input [1]: [wp_web_page_sk#59] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, false] as bigint)),false), [plan_id=7] -(64) BroadcastHashJoin [codegen id : 17] -Left keys [1]: [ws_web_page_sk#62] -Right keys [1]: [wp_web_page_sk#67] +(63) BroadcastHashJoin [codegen id : 16] +Left keys [1]: [ws_web_page_sk#54] +Right keys [1]: [wp_web_page_sk#59] Join type: Inner Join condition: None -(65) Project [codegen id : 17] -Output [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Input [4]: [ws_web_page_sk#62, ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] - -(66) HashAggregate [codegen id : 17] -Input [3]: [ws_ext_sales_price#63, ws_net_profit#64, wp_web_page_sk#67] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#63)), partial_sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum#68, sum#69] -Results [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(67) CometColumnarExchange -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Arguments: hashpartitioning(wp_web_page_sk#67, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(68) CometColumnarToRow [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] - -(69) HashAggregate [codegen id : 22] -Input [3]: [wp_web_page_sk#67, sum#70, sum#71] -Keys [1]: [wp_web_page_sk#67] -Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#63)), sum(UnscaledValue(ws_net_profit#64))] -Aggregate Attributes [2]: [sum(UnscaledValue(ws_ext_sales_price#63))#72, sum(UnscaledValue(ws_net_profit#64))#73] -Results [3]: [wp_web_page_sk#67, MakeDecimal(sum(UnscaledValue(ws_ext_sales_price#63))#72,17,2) AS sales#74, MakeDecimal(sum(UnscaledValue(ws_net_profit#64))#73,17,2) AS profit#75] - -(70) Scan parquet spark_catalog.default.web_returns -Output [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(64) Project [codegen id : 16] +Output [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Input [4]: [ws_web_page_sk#54, ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] + +(65) HashAggregate [codegen id : 16] +Input [3]: [ws_ext_sales_price#55, ws_net_profit#56, wp_web_page_sk#59] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [partial_sum(UnscaledValue(ws_ext_sales_price#55)), partial_sum(UnscaledValue(ws_net_profit#56))] +Aggregate Attributes [2]: [sum#60, sum#61] +Results [3]: [wp_web_page_sk#59, sum#62, sum#63] + +(66) CometColumnarExchange +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Arguments: hashpartitioning(wp_web_page_sk#59, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] + +(67) CometHashAggregate +Input [3]: [wp_web_page_sk#59, sum#62, sum#63] +Keys [1]: [wp_web_page_sk#59] +Functions [2]: [sum(UnscaledValue(ws_ext_sales_price#55)), sum(UnscaledValue(ws_net_profit#56))] + +(68) Scan parquet spark_catalog.default.web_returns +Output [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] Batched: true Location: InMemoryFileIndex [] -PartitionFilters: [isnotnull(wr_returned_date_sk#79), dynamicpruningexpression(wr_returned_date_sk#79 IN dynamicpruning#5)] +PartitionFilters: [isnotnull(wr_returned_date_sk#67), dynamicpruningexpression(wr_returned_date_sk#67 IN dynamicpruning#5)] PushedFilters: [IsNotNull(wr_web_page_sk)] ReadSchema: struct -(71) ColumnarToRow [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] +(69) ColumnarToRow [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] -(72) Filter [codegen id : 20] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79] -Condition : isnotnull(wr_web_page_sk#76) +(70) Filter [codegen id : 19] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67] +Condition : isnotnull(wr_web_page_sk#64) -(73) ReusedExchange [Reuses operator id: 115] -Output [1]: [d_date_sk#80] +(71) ReusedExchange [Reuses operator id: 108] +Output [1]: [d_date_sk#68] -(74) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_returned_date_sk#79] -Right keys [1]: [d_date_sk#80] +(72) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_returned_date_sk#67] +Right keys [1]: [d_date_sk#68] Join type: Inner Join condition: None -(75) Project [codegen id : 20] -Output [3]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78] -Input [5]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wr_returned_date_sk#79, d_date_sk#80] +(73) Project [codegen id : 19] +Output [3]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66] +Input [5]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wr_returned_date_sk#67, d_date_sk#68] -(76) ReusedExchange [Reuses operator id: 63] -Output [1]: [wp_web_page_sk#81] +(74) ReusedExchange [Reuses operator id: 62] +Output [1]: [wp_web_page_sk#69] -(77) BroadcastHashJoin [codegen id : 20] -Left keys [1]: [wr_web_page_sk#76] -Right keys [1]: [wp_web_page_sk#81] +(75) BroadcastHashJoin [codegen id : 19] +Left keys [1]: [wr_web_page_sk#64] +Right keys [1]: [wp_web_page_sk#69] Join type: Inner Join condition: None -(78) Project [codegen id : 20] -Output [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Input [4]: [wr_web_page_sk#76, wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] - -(79) HashAggregate [codegen id : 20] -Input [3]: [wr_return_amt#77, wr_net_loss#78, wp_web_page_sk#81] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#77)), partial_sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum#82, sum#83] -Results [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(80) CometColumnarExchange -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Arguments: hashpartitioning(wp_web_page_sk#81, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] - -(81) CometColumnarToRow [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] - -(82) HashAggregate [codegen id : 21] -Input [3]: [wp_web_page_sk#81, sum#84, sum#85] -Keys [1]: [wp_web_page_sk#81] -Functions [2]: [sum(UnscaledValue(wr_return_amt#77)), sum(UnscaledValue(wr_net_loss#78))] -Aggregate Attributes [2]: [sum(UnscaledValue(wr_return_amt#77))#86, sum(UnscaledValue(wr_net_loss#78))#87] -Results [3]: [wp_web_page_sk#81, MakeDecimal(sum(UnscaledValue(wr_return_amt#77))#86,17,2) AS returns#88, MakeDecimal(sum(UnscaledValue(wr_net_loss#78))#87,17,2) AS profit_loss#89] - -(83) BroadcastExchange -Input [3]: [wp_web_page_sk#81, returns#88, profit_loss#89] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=11] - -(84) BroadcastHashJoin [codegen id : 22] -Left keys [1]: [wp_web_page_sk#67] -Right keys [1]: [wp_web_page_sk#81] -Join type: LeftOuter -Join condition: None - -(85) Project [codegen id : 22] -Output [5]: [web channel AS channel#90, wp_web_page_sk#67 AS id#91, sales#74, coalesce(returns#88, 0.00) AS returns#92, (profit#75 - coalesce(profit_loss#89, 0.00)) AS profit#93] -Input [6]: [wp_web_page_sk#67, sales#74, profit#75, wp_web_page_sk#81, returns#88, profit_loss#89] - -(86) Union - -(87) HashAggregate [codegen id : 23] -Input [5]: [channel#30, id#31, sales#14, returns#32, profit#33] -Keys [2]: [channel#30, id#31] -Functions [3]: [partial_sum(sales#14), partial_sum(returns#32), partial_sum(profit#33)] -Aggregate Attributes [6]: [sum#94, isEmpty#95, sum#96, isEmpty#97, sum#98, isEmpty#99] -Results [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(88) CometColumnarExchange -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Arguments: hashpartitioning(channel#30, id#31, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=12] - -(89) CometColumnarToRow [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] - -(90) HashAggregate [codegen id : 24] -Input [8]: [channel#30, id#31, sum#100, isEmpty#101, sum#102, isEmpty#103, sum#104, isEmpty#105] -Keys [2]: [channel#30, id#31] -Functions [3]: [sum(sales#14), sum(returns#32), sum(profit#33)] -Aggregate Attributes [3]: [sum(sales#14)#106, sum(returns#32)#107, sum(profit#33)#108] -Results [5]: [channel#30, id#31, cast(sum(sales#14)#106 as decimal(37,2)) AS sales#109, cast(sum(returns#32)#107 as decimal(37,2)) AS returns#110, cast(sum(profit#33)#108 as decimal(38,2)) AS profit#111] - -(91) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#112, id#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(92) CometColumnarToRow [codegen id : 48] -Input [8]: [channel#112, id#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(93) HashAggregate [codegen id : 48] -Input [8]: [channel#112, id#113, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] -Keys [2]: [channel#112, id#113] -Functions [3]: [sum(sales#120), sum(returns#121), sum(profit#122)] -Aggregate Attributes [3]: [sum(sales#120)#106, sum(returns#121)#107, sum(profit#122)#108] -Results [4]: [channel#112, sum(sales#120)#106 AS sales#123, sum(returns#121)#107 AS returns#124, sum(profit#122)#108 AS profit#125] - -(94) HashAggregate [codegen id : 48] -Input [4]: [channel#112, sales#123, returns#124, profit#125] -Keys [1]: [channel#112] -Functions [3]: [partial_sum(sales#123), partial_sum(returns#124), partial_sum(profit#125)] -Aggregate Attributes [6]: [sum#126, isEmpty#127, sum#128, isEmpty#129, sum#130, isEmpty#131] -Results [7]: [channel#112, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137] - -(95) CometColumnarExchange -Input [7]: [channel#112, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137] -Arguments: hashpartitioning(channel#112, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=13] - -(96) CometColumnarToRow [codegen id : 49] -Input [7]: [channel#112, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137] - -(97) HashAggregate [codegen id : 49] -Input [7]: [channel#112, sum#132, isEmpty#133, sum#134, isEmpty#135, sum#136, isEmpty#137] -Keys [1]: [channel#112] -Functions [3]: [sum(sales#123), sum(returns#124), sum(profit#125)] -Aggregate Attributes [3]: [sum(sales#123)#138, sum(returns#124)#139, sum(profit#125)#140] -Results [5]: [channel#112, null AS id#141, sum(sales#123)#138 AS sales#142, sum(returns#124)#139 AS returns#143, sum(profit#125)#140 AS profit#144] - -(98) ReusedExchange [Reuses operator id: 88] -Output [8]: [channel#145, id#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] - -(99) CometColumnarToRow [codegen id : 73] -Input [8]: [channel#145, id#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] - -(100) HashAggregate [codegen id : 73] -Input [8]: [channel#145, id#146, sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] -Keys [2]: [channel#145, id#146] -Functions [3]: [sum(sales#153), sum(returns#154), sum(profit#155)] -Aggregate Attributes [3]: [sum(sales#153)#106, sum(returns#154)#107, sum(profit#155)#108] -Results [3]: [sum(sales#153)#106 AS sales#156, sum(returns#154)#107 AS returns#157, sum(profit#155)#108 AS profit#158] - -(101) HashAggregate [codegen id : 73] -Input [3]: [sales#156, returns#157, profit#158] +(76) Project [codegen id : 19] +Output [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Input [4]: [wr_web_page_sk#64, wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] + +(77) HashAggregate [codegen id : 19] +Input [3]: [wr_return_amt#65, wr_net_loss#66, wp_web_page_sk#69] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [partial_sum(UnscaledValue(wr_return_amt#65)), partial_sum(UnscaledValue(wr_net_loss#66))] +Aggregate Attributes [2]: [sum#70, sum#71] +Results [3]: [wp_web_page_sk#69, sum#72, sum#73] + +(78) CometColumnarExchange +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Arguments: hashpartitioning(wp_web_page_sk#69, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] + +(79) CometHashAggregate +Input [3]: [wp_web_page_sk#69, sum#72, sum#73] +Keys [1]: [wp_web_page_sk#69] +Functions [2]: [sum(UnscaledValue(wr_return_amt#65)), sum(UnscaledValue(wr_net_loss#66))] + +(80) CometBroadcastExchange +Input [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#69, returns#74, profit_loss#75] + +(81) CometBroadcastHashJoin +Left output [3]: [wp_web_page_sk#59, sales#76, profit#77] +Right output [3]: [wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [wp_web_page_sk#59], [wp_web_page_sk#69], LeftOuter, BuildRight + +(82) CometProject +Input [6]: [wp_web_page_sk#59, sales#76, profit#77, wp_web_page_sk#69, returns#74, profit_loss#75] +Arguments: [channel#78, id#79, sales#76, returns#80, profit#81], [web channel AS channel#78, wp_web_page_sk#59 AS id#79, sales#76, coalesce(returns#74, 0.00) AS returns#80, (profit#77 - coalesce(profit_loss#75, 0.00)) AS profit#81] + +(83) CometColumnarToRow [codegen id : 20] +Input [5]: [channel#78, id#79, sales#76, returns#80, profit#81] + +(84) Union + +(85) HashAggregate [codegen id : 21] +Input [5]: [channel#26, id#27, sales#24, returns#28, profit#29] +Keys [2]: [channel#26, id#27] +Functions [3]: [partial_sum(sales#24), partial_sum(returns#28), partial_sum(profit#29)] +Aggregate Attributes [6]: [sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] +Results [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] + +(86) CometColumnarExchange +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Arguments: hashpartitioning(channel#26, id#27, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] + +(87) CometHashAggregate +Input [8]: [channel#26, id#27, sum#88, isEmpty#89, sum#90, isEmpty#91, sum#92, isEmpty#93] +Keys [2]: [channel#26, id#27] +Functions [3]: [sum(sales#24), sum(returns#28), sum(profit#29)] + +(88) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] + +(89) CometHashAggregate +Input [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] +Keys [2]: [channel#94, id#95] +Functions [3]: [sum(sales#102), sum(returns#103), sum(profit#104)] + +(90) CometHashAggregate +Input [4]: [channel#94, sales#105, returns#106, profit#107] +Keys [1]: [channel#94] +Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] + +(91) CometExchange +Input [7]: [channel#94, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113] +Arguments: hashpartitioning(channel#94, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] + +(92) CometHashAggregate +Input [7]: [channel#94, sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113] +Keys [1]: [channel#94] +Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] + +(93) ReusedExchange [Reuses operator id: 86] +Output [8]: [channel#114, id#115, sum#116, isEmpty#117, sum#118, isEmpty#119, sum#120, isEmpty#121] + +(94) CometHashAggregate +Input [8]: [channel#114, id#115, sum#116, isEmpty#117, sum#118, isEmpty#119, sum#120, isEmpty#121] +Keys [2]: [channel#114, id#115] +Functions [3]: [sum(sales#122), sum(returns#123), sum(profit#124)] + +(95) CometHashAggregate +Input [3]: [sales#125, returns#126, profit#127] Keys: [] -Functions [3]: [partial_sum(sales#156), partial_sum(returns#157), partial_sum(profit#158)] -Aggregate Attributes [6]: [sum#159, isEmpty#160, sum#161, isEmpty#162, sum#163, isEmpty#164] -Results [6]: [sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170] - -(102) CometColumnarExchange -Input [6]: [sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=14] +Functions [3]: [partial_sum(sales#125), partial_sum(returns#126), partial_sum(profit#127)] -(103) CometColumnarToRow [codegen id : 74] -Input [6]: [sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170] +(96) CometExchange +Input [6]: [sum#128, isEmpty#129, sum#130, isEmpty#131, sum#132, isEmpty#133] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=12] -(104) HashAggregate [codegen id : 74] -Input [6]: [sum#165, isEmpty#166, sum#167, isEmpty#168, sum#169, isEmpty#170] +(97) CometHashAggregate +Input [6]: [sum#128, isEmpty#129, sum#130, isEmpty#131, sum#132, isEmpty#133] Keys: [] -Functions [3]: [sum(sales#156), sum(returns#157), sum(profit#158)] -Aggregate Attributes [3]: [sum(sales#156)#171, sum(returns#157)#172, sum(profit#158)#173] -Results [5]: [null AS channel#174, null AS id#175, sum(sales#156)#171 AS sales#176, sum(returns#157)#172 AS returns#177, sum(profit#158)#173 AS profit#178] +Functions [3]: [sum(sales#125), sum(returns#126), sum(profit#127)] -(105) Union +(98) CometUnion +Child 0 Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] +Child 1 Input [5]: [channel#94, id#137, sales#138, returns#139, profit#140] +Child 2 Input [5]: [channel#141, id#142, sales#143, returns#144, profit#145] -(106) HashAggregate [codegen id : 75] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(99) CometHashAggregate +Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] +Keys [5]: [channel#26, id#27, sales#134, returns#135, profit#136] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -(107) CometColumnarExchange -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: hashpartitioning(channel#30, id#31, sales#109, returns#110, profit#111, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=15] +(100) CometExchange +Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] +Arguments: hashpartitioning(channel#26, id#27, sales#134, returns#135, profit#136, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=13] -(108) CometHashAggregate -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Keys [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(101) CometHashAggregate +Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] +Keys [5]: [channel#26, id#27, sales#134, returns#135, profit#136] Functions: [] -(109) CometTakeOrderedAndProject -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#30 ASC NULLS FIRST,id#31 ASC NULLS FIRST], output=[channel#30,id#31,sales#109,returns#110,profit#111]), [channel#30, id#31, sales#109, returns#110, profit#111], 100, 0, [channel#30 ASC NULLS FIRST, id#31 ASC NULLS FIRST], [channel#30, id#31, sales#109, returns#110, profit#111] +(102) CometTakeOrderedAndProject +Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#26 ASC NULLS FIRST,id#27 ASC NULLS FIRST], output=[channel#26,id#27,sales#134,returns#135,profit#136]), [channel#26, id#27, sales#134, returns#135, profit#136], 100, 0, [channel#26 ASC NULLS FIRST, id#27 ASC NULLS FIRST], [channel#26, id#27, sales#134, returns#135, profit#136] -(110) CometColumnarToRow [codegen id : 76] -Input [5]: [channel#30, id#31, sales#109, returns#110, profit#111] +(103) CometColumnarToRow [codegen id : 64] +Input [5]: [channel#26, id#27, sales#134, returns#135, profit#136] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (115) -+- * CometColumnarToRow (114) - +- CometProject (113) - +- CometFilter (112) - +- CometNativeScan parquet spark_catalog.default.date_dim (111) +BroadcastExchange (108) ++- * CometColumnarToRow (107) + +- CometProject (106) + +- CometFilter (105) + +- CometNativeScan parquet spark_catalog.default.date_dim (104) -(111) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#6, d_date#179] +(104) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#6, d_date#146] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(112) CometFilter -Input [2]: [d_date_sk#6, d_date#179] -Condition : (((isnotnull(d_date#179) AND (d_date#179 >= 1998-08-04)) AND (d_date#179 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) +(105) CometFilter +Input [2]: [d_date_sk#6, d_date#146] +Condition : (((isnotnull(d_date#146) AND (d_date#146 >= 1998-08-04)) AND (d_date#146 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(113) CometProject -Input [2]: [d_date_sk#6, d_date#179] +(106) CometProject +Input [2]: [d_date_sk#6, d_date#146] Arguments: [d_date_sk#6], [d_date_sk#6] -(114) CometColumnarToRow [codegen id : 1] +(107) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(115) BroadcastExchange +(108) BroadcastExchange Input [1]: [d_date_sk#6] -Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=16] +Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=14] -Subquery:2 Hosting operator id = 17 Hosting Expression = sr_returned_date_sk#19 IN dynamicpruning#5 +Subquery:2 Hosting operator id = 16 Hosting Expression = sr_returned_date_sk#15 IN dynamicpruning#5 -Subquery:3 Hosting operator id = 33 Hosting Expression = cs_sold_date_sk#37 IN dynamicpruning#5 +Subquery:3 Hosting operator id = 32 Hosting Expression = cs_sold_date_sk#33 IN dynamicpruning#5 -Subquery:4 Hosting operator id = 43 Hosting Expression = cr_returned_date_sk#49 IN dynamicpruning#5 +Subquery:4 Hosting operator id = 42 Hosting Expression = cr_returned_date_sk#43 IN dynamicpruning#5 -Subquery:5 Hosting operator id = 54 Hosting Expression = ws_sold_date_sk#65 IN dynamicpruning#5 +Subquery:5 Hosting operator id = 53 Hosting Expression = ws_sold_date_sk#57 IN dynamicpruning#5 -Subquery:6 Hosting operator id = 70 Hosting Expression = wr_returned_date_sk#79 IN dynamicpruning#5 +Subquery:6 Hosting operator id = 68 Hosting Expression = wr_returned_date_sk#67 IN dynamicpruning#5 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/extended.txt index 81b485e6b3..62f8814212 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/extended.txt @@ -1,409 +1,398 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- Project - : : +- BroadcastHashJoin - : : :- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- Project - : : : : +- BroadcastHashJoin - : : : : :- Filter - : : : : : +- ColumnarToRow - : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.store - : : +- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin - : : :- BroadcastExchange - : : : +- HashAggregate - : : : +- CometColumnarToRow - : : : +- CometColumnarExchange - : : : +- HashAggregate - : : : +- Project - : : : +- BroadcastHashJoin - : : : :- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- ReusedSubquery - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.web_page - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- Project - : +- BroadcastHashJoin - : :- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- Project - : : : +- BroadcastHashJoin - : : : :- Filter - : : : : +- ColumnarToRow - : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.store - : +- BroadcastExchange - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin - : :- BroadcastExchange - : : +- HashAggregate - : : +- CometColumnarToRow - : : +- CometColumnarExchange - : : +- HashAggregate - : : +- Project - : : +- BroadcastHashJoin - : : :- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- ColumnarToRow - : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- Project - +- BroadcastHashJoin - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- ReusedSubquery - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.web_page - +- BroadcastExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- ReusedSubquery - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.web_page + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- Project + : : : : +- BroadcastHashJoin + : : : : :- Filter + : : : : : +- ColumnarToRow + : : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometColumnarExchange + : : : +- HashAggregate + : : : +- Project + : : : +- BroadcastHashJoin + : : : :- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- ReusedSubquery + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- Project + : : : +- BroadcastHashJoin + : : : :- Filter + : : : : +- ColumnarToRow + : : : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.store_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometColumnarExchange + : : +- HashAggregate + : : +- Project + : : +- BroadcastHashJoin + : : :- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.catalog_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- ColumnarToRow + : : +- Scan parquet spark_catalog.default.catalog_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- ReusedSubquery + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_returns [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- ReusedSubquery + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.web_page -Comet accelerated 113 out of 332 eligible operators (34%). Final plan contains 75 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 158 out of 332 eligible operators (47%). Final plan contains 64 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/simplified.txt index 6f40fcdddf..2b336edecc 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_datafusion/simplified.txt @@ -1,180 +1,155 @@ -WholeStageCodegen (76) +WholeStageCodegen (64) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (75) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (24) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (23) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - InputAdapter - Union - WholeStageCodegen (8) - Project [s_store_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [s_store_sk,s_store_sk] - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #3 - WholeStageCodegen (3) - HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] - Project [ss_ext_sales_price,ss_net_profit,s_store_sk] - BroadcastHashJoin [ss_store_sk,s_store_sk] - Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Filter [ss_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometFilter [s_store_sk] - CometNativeScan parquet spark_catalog.default.store [s_store_sk] - InputAdapter - BroadcastExchange #6 - WholeStageCodegen (7) - HashAggregate [s_store_sk,sum,sum] [sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [s_store_sk] #7 - WholeStageCodegen (6) - HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] - Project [sr_return_amt,sr_net_loss,s_store_sk] - BroadcastHashJoin [sr_store_sk,s_store_sk] - Project [sr_store_sk,sr_return_amt,sr_net_loss] - BroadcastHashJoin [sr_returned_date_sk,d_date_sk] - Filter [sr_store_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (21) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (7) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometColumnarExchange [s_store_sk] #3 + WholeStageCodegen (3) + HashAggregate [s_store_sk,ss_ext_sales_price,ss_net_profit] [sum,sum,sum,sum] + Project [ss_ext_sales_price,ss_net_profit,s_store_sk] + BroadcastHashJoin [ss_store_sk,s_store_sk] + Project [ss_store_sk,ss_ext_sales_price,ss_net_profit] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Filter [ss_store_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [s_store_sk] #5 - WholeStageCodegen (14) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #8 - WholeStageCodegen (11) - HashAggregate [cs_call_center_sk,sum,sum] [sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit)),sales,profit,sum,sum] - CometColumnarToRow + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] InputAdapter - CometColumnarExchange [cs_call_center_sk] #9 - WholeStageCodegen (10) - HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] - Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - BroadcastHashJoin [cs_sold_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - HashAggregate [sum,sum] [sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange #10 - WholeStageCodegen (13) - HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] - Project [cr_return_amount,cr_net_loss] - BroadcastHashJoin [cr_returned_date_sk,d_date_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - WholeStageCodegen (22) - Project [wp_web_page_sk,sales,returns,profit,profit_loss] - BroadcastHashJoin [wp_web_page_sk,wp_web_page_sk] - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit)),sales,profit,sum,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [wp_web_page_sk] #11 - WholeStageCodegen (17) - HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] - Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] - Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometFilter [s_store_sk] + CometNativeScan parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #6 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometColumnarExchange [s_store_sk] #7 + WholeStageCodegen (6) + HashAggregate [s_store_sk,sr_return_amt,sr_net_loss] [sum,sum,sum,sum] + Project [sr_return_amt,sr_net_loss,s_store_sk] + BroadcastHashJoin [sr_store_sk,s_store_sk] + Project [sr_store_sk,sr_return_amt,sr_net_loss] + BroadcastHashJoin [sr_returned_date_sk,d_date_sk] + Filter [sr_store_sk] + ColumnarToRow InputAdapter - BroadcastExchange #12 - WholeStageCodegen (16) - CometColumnarToRow - InputAdapter - CometFilter [wp_web_page_sk] - CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] - InputAdapter - BroadcastExchange #13 - WholeStageCodegen (21) - HashAggregate [wp_web_page_sk,sum,sum] [sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss)),returns,profit_loss,sum,sum] - CometColumnarToRow + Scan parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [s_store_sk] #5 + WholeStageCodegen (13) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin + InputAdapter + BroadcastExchange #8 + WholeStageCodegen (10) + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometColumnarExchange [cs_call_center_sk] #9 + WholeStageCodegen (9) + HashAggregate [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] [sum,sum,sum,sum] + Project [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + BroadcastHashJoin [cs_sold_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometColumnarExchange #10 + WholeStageCodegen (12) + HashAggregate [cr_return_amount,cr_net_loss] [sum,sum,sum,sum] + Project [cr_return_amount,cr_net_loss] + BroadcastHashJoin [cr_returned_date_sk,d_date_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + WholeStageCodegen (20) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometColumnarExchange [wp_web_page_sk] #11 + WholeStageCodegen (16) + HashAggregate [wp_web_page_sk,ws_ext_sales_price,ws_net_profit] [sum,sum,sum,sum] + Project [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + BroadcastHashJoin [ws_web_page_sk,wp_web_page_sk] + Project [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 InputAdapter - CometColumnarExchange [wp_web_page_sk] #14 - WholeStageCodegen (20) - HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] - Project [wr_return_amt,wr_net_loss,wp_web_page_sk] - BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] - Project [wr_web_page_sk,wr_return_amt,wr_net_loss] - BroadcastHashJoin [wr_returned_date_sk,d_date_sk] - Filter [wr_web_page_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - ReusedExchange [wp_web_page_sk] #12 - WholeStageCodegen (49) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #15 - WholeStageCodegen (48) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (74) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #16 - WholeStageCodegen (73) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #12 + WholeStageCodegen (15) + CometColumnarToRow + InputAdapter + CometFilter [wp_web_page_sk] + CometNativeScan parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #13 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometColumnarExchange [wp_web_page_sk] #14 + WholeStageCodegen (19) + HashAggregate [wp_web_page_sk,wr_return_amt,wr_net_loss] [sum,sum,sum,sum] + Project [wr_return_amt,wr_net_loss,wp_web_page_sk] + BroadcastHashJoin [wr_web_page_sk,wp_web_page_sk] + Project [wr_web_page_sk,wr_return_amt,wr_net_loss] + BroadcastHashJoin [wr_returned_date_sk,d_date_sk] + Filter [wr_web_page_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + ReusedExchange [wp_web_page_sk] #12 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #15 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #16 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/explain.txt index 9554c6732e..e7a46f5d61 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] - -(84) ReusedExchange [Reuses operator id: 81] -Output [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] - -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] - -(86) HashAggregate [codegen id : 12] -Input [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] -Keys [2]: [channel#94, id#95] -Functions [3]: [sum(sales#102), sum(returns#103), sum(profit#104)] -Aggregate Attributes [3]: [sum(sales#102)#88, sum(returns#103)#89, sum(profit#104)#90] -Results [4]: [channel#94, sum(sales#102)#88 AS sales#105, sum(returns#103)#89 AS returns#106, sum(profit#104)#90 AS profit#107] - -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#94, sales#105, returns#106, profit#107] -Keys [1]: [channel#94] -Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] -Aggregate Attributes [6]: [sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113] -Results [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(88) CometColumnarExchange -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] -Arguments: hashpartitioning(channel#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] -Keys [1]: [channel#94] -Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] -Aggregate Attributes [3]: [sum(sales#105)#120, sum(returns#106)#121, sum(profit#107)#122] -Results [5]: [channel#94, null AS id#123, sum(sales#105)#120 AS sales#124, sum(returns#106)#121 AS returns#125, sum(profit#107)#122 AS profit#126] - -(91) ReusedExchange [Reuses operator id: 81] -Output [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] - -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] - -(93) HashAggregate [codegen id : 19] -Input [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] -Keys [2]: [channel#127, id#128] -Functions [3]: [sum(sales#135), sum(returns#136), sum(profit#137)] -Aggregate Attributes [3]: [sum(sales#135)#88, sum(returns#136)#89, sum(profit#137)#90] -Results [3]: [sum(sales#135)#88 AS sales#138, sum(returns#136)#89 AS returns#139, sum(profit#137)#90 AS profit#140] - -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#138, returns#139, profit#140] -Keys: [] -Functions [3]: [partial_sum(sales#138), partial_sum(returns#139), partial_sum(profit#140)] -Aggregate Attributes [6]: [sum#141, isEmpty#142, sum#143, isEmpty#144, sum#145, isEmpty#146] -Results [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] -(95) CometColumnarExchange -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(83) ReusedExchange [Reuses operator id: 81] +Output [8]: [channel#88, id#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95] + +(84) CometHashAggregate +Input [8]: [channel#88, id#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95] +Keys [2]: [channel#88, id#89] +Functions [3]: [sum(sales#96), sum(returns#97), sum(profit#98)] + +(85) CometHashAggregate +Input [4]: [channel#88, sales#99, returns#100, profit#101] +Keys [1]: [channel#88] +Functions [3]: [partial_sum(sales#99), partial_sum(returns#100), partial_sum(profit#101)] + +(86) CometExchange +Input [7]: [channel#88, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107] +Arguments: hashpartitioning(channel#88, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(87) CometHashAggregate +Input [7]: [channel#88, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107] +Keys [1]: [channel#88] +Functions [3]: [sum(sales#99), sum(returns#100), sum(profit#101)] + +(88) ReusedExchange [Reuses operator id: 81] +Output [8]: [channel#108, id#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115] + +(89) CometHashAggregate +Input [8]: [channel#108, id#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115] +Keys [2]: [channel#108, id#109] +Functions [3]: [sum(sales#116), sum(returns#117), sum(profit#118)] + +(90) CometHashAggregate +Input [3]: [sales#119, returns#120, profit#121] +Keys: [] +Functions [3]: [partial_sum(sales#119), partial_sum(returns#120), partial_sum(profit#121)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] +(91) CometExchange +Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] +(92) CometHashAggregate +Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] Keys: [] -Functions [3]: [sum(sales#138), sum(returns#139), sum(profit#140)] -Aggregate Attributes [3]: [sum(sales#138)#153, sum(returns#139)#154, sum(profit#140)#155] -Results [5]: [null AS channel#156, null AS id#157, sum(sales#138)#153 AS sales#158, sum(returns#139)#154 AS returns#159, sum(profit#140)#155 AS profit#160] +Functions [3]: [sum(sales#119), sum(returns#120), sum(profit#121)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Child 1 Input [5]: [channel#88, id#131, sales#132, returns#133, profit#134] +Child 2 Input [5]: [channel#135, id#136, sales#137, returns#138, profit#139] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Keys [5]: [channel#24, id#25, sales#128, returns#129, profit#130] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Arguments: hashpartitioning(channel#24, id#25, sales#128, returns#129, profit#130, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Keys [5]: [channel#24, id#25, sales#128, returns#129, profit#130] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#128,returns#129,profit#130]), [channel#24, id#25, sales#128, returns#129, profit#130], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#128, returns#129, profit#130] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a.native_iceberg_compat/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/explain.txt index 9554c6732e..e7a46f5d61 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/explain.txt @@ -1,107 +1,102 @@ == Physical Plan == -* CometColumnarToRow (103) -+- CometTakeOrderedAndProject (102) - +- CometHashAggregate (101) - +- CometColumnarExchange (100) - +- * HashAggregate (99) - +- Union (98) - :- * HashAggregate (83) - : +- * CometColumnarToRow (82) - : +- CometColumnarExchange (81) - : +- * HashAggregate (80) - : +- Union (79) - : :- * CometColumnarToRow (31) - : : +- CometProject (30) - : : +- CometBroadcastHashJoin (29) - : : :- CometHashAggregate (16) - : : : +- CometExchange (15) - : : : +- CometHashAggregate (14) - : : : +- CometProject (13) - : : : +- CometBroadcastHashJoin (12) - : : : :- CometProject (8) - : : : : +- CometBroadcastHashJoin (7) - : : : : :- CometFilter (2) - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) - : : : : +- CometBroadcastExchange (6) - : : : : +- CometProject (5) - : : : : +- CometFilter (4) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) - : : : +- CometBroadcastExchange (11) - : : : +- CometFilter (10) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) - : : +- CometBroadcastExchange (28) - : : +- CometHashAggregate (27) - : : +- CometExchange (26) - : : +- CometHashAggregate (25) - : : +- CometProject (24) - : : +- CometBroadcastHashJoin (23) - : : :- CometProject (21) - : : : +- CometBroadcastHashJoin (20) - : : : :- CometFilter (18) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) - : : : +- ReusedExchange (19) - : : +- ReusedExchange (22) - : :- * Project (50) - : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) - : : :- BroadcastExchange (40) - : : : +- * CometColumnarToRow (39) - : : : +- CometHashAggregate (38) - : : : +- CometExchange (37) - : : : +- CometHashAggregate (36) - : : : +- CometProject (35) - : : : +- CometBroadcastHashJoin (34) - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) - : : : +- ReusedExchange (33) - : : +- * CometColumnarToRow (48) - : : +- CometHashAggregate (47) - : : +- CometExchange (46) - : : +- CometHashAggregate (45) - : : +- CometProject (44) - : : +- CometBroadcastHashJoin (43) - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) - : : +- ReusedExchange (42) - : +- * CometColumnarToRow (78) - : +- CometProject (77) - : +- CometBroadcastHashJoin (76) - : :- CometHashAggregate (63) - : : +- CometExchange (62) - : : +- CometHashAggregate (61) - : : +- CometProject (60) - : : +- CometBroadcastHashJoin (59) - : : :- CometProject (55) - : : : +- CometBroadcastHashJoin (54) - : : : :- CometFilter (52) - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) - : : : +- ReusedExchange (53) - : : +- CometBroadcastExchange (58) - : : +- CometFilter (57) - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) - : +- CometBroadcastExchange (75) - : +- CometHashAggregate (74) - : +- CometExchange (73) - : +- CometHashAggregate (72) - : +- CometProject (71) - : +- CometBroadcastHashJoin (70) - : :- CometProject (68) - : : +- CometBroadcastHashJoin (67) - : : :- CometFilter (65) - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) - : : +- ReusedExchange (66) - : +- ReusedExchange (69) - :- * HashAggregate (90) - : +- * CometColumnarToRow (89) - : +- CometColumnarExchange (88) - : +- * HashAggregate (87) - : +- * HashAggregate (86) - : +- * CometColumnarToRow (85) - : +- ReusedExchange (84) - +- * HashAggregate (97) - +- * CometColumnarToRow (96) - +- CometColumnarExchange (95) - +- * HashAggregate (94) - +- * HashAggregate (93) - +- * CometColumnarToRow (92) - +- ReusedExchange (91) +* CometColumnarToRow (98) ++- CometTakeOrderedAndProject (97) + +- CometHashAggregate (96) + +- CometExchange (95) + +- CometHashAggregate (94) + +- CometUnion (93) + :- CometHashAggregate (82) + : +- CometColumnarExchange (81) + : +- * HashAggregate (80) + : +- Union (79) + : :- * CometColumnarToRow (31) + : : +- CometProject (30) + : : +- CometBroadcastHashJoin (29) + : : :- CometHashAggregate (16) + : : : +- CometExchange (15) + : : : +- CometHashAggregate (14) + : : : +- CometProject (13) + : : : +- CometBroadcastHashJoin (12) + : : : :- CometProject (8) + : : : : +- CometBroadcastHashJoin (7) + : : : : :- CometFilter (2) + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales (1) + : : : : +- CometBroadcastExchange (6) + : : : : +- CometProject (5) + : : : : +- CometFilter (4) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (3) + : : : +- CometBroadcastExchange (11) + : : : +- CometFilter (10) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store (9) + : : +- CometBroadcastExchange (28) + : : +- CometHashAggregate (27) + : : +- CometExchange (26) + : : +- CometHashAggregate (25) + : : +- CometProject (24) + : : +- CometBroadcastHashJoin (23) + : : :- CometProject (21) + : : : +- CometBroadcastHashJoin (20) + : : : :- CometFilter (18) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns (17) + : : : +- ReusedExchange (19) + : : +- ReusedExchange (22) + : :- * Project (50) + : : +- * BroadcastNestedLoopJoin Inner BuildLeft (49) + : : :- BroadcastExchange (40) + : : : +- * CometColumnarToRow (39) + : : : +- CometHashAggregate (38) + : : : +- CometExchange (37) + : : : +- CometHashAggregate (36) + : : : +- CometProject (35) + : : : +- CometBroadcastHashJoin (34) + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales (32) + : : : +- ReusedExchange (33) + : : +- * CometColumnarToRow (48) + : : +- CometHashAggregate (47) + : : +- CometExchange (46) + : : +- CometHashAggregate (45) + : : +- CometProject (44) + : : +- CometBroadcastHashJoin (43) + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns (41) + : : +- ReusedExchange (42) + : +- * CometColumnarToRow (78) + : +- CometProject (77) + : +- CometBroadcastHashJoin (76) + : :- CometHashAggregate (63) + : : +- CometExchange (62) + : : +- CometHashAggregate (61) + : : +- CometProject (60) + : : +- CometBroadcastHashJoin (59) + : : :- CometProject (55) + : : : +- CometBroadcastHashJoin (54) + : : : :- CometFilter (52) + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales (51) + : : : +- ReusedExchange (53) + : : +- CometBroadcastExchange (58) + : : +- CometFilter (57) + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page (56) + : +- CometBroadcastExchange (75) + : +- CometHashAggregate (74) + : +- CometExchange (73) + : +- CometHashAggregate (72) + : +- CometProject (71) + : +- CometBroadcastHashJoin (70) + : :- CometProject (68) + : : +- CometBroadcastHashJoin (67) + : : :- CometFilter (65) + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns (64) + : : +- ReusedExchange (66) + : +- ReusedExchange (69) + :- CometHashAggregate (87) + : +- CometExchange (86) + : +- CometHashAggregate (85) + : +- CometHashAggregate (84) + : +- ReusedExchange (83) + +- CometHashAggregate (92) + +- CometExchange (91) + +- CometHashAggregate (90) + +- CometHashAggregate (89) + +- ReusedExchange (88) (1) CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales @@ -473,138 +468,110 @@ Results [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Arguments: hashpartitioning(channel#24, id#25, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=8] -(82) CometColumnarToRow [codegen id : 6] -Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] - -(83) HashAggregate [codegen id : 6] +(82) CometHashAggregate Input [8]: [channel#24, id#25, sum#82, isEmpty#83, sum#84, isEmpty#85, sum#86, isEmpty#87] Keys [2]: [channel#24, id#25] Functions [3]: [sum(sales#22), sum(returns#26), sum(profit#27)] -Aggregate Attributes [3]: [sum(sales#22)#88, sum(returns#26)#89, sum(profit#27)#90] -Results [5]: [channel#24, id#25, cast(sum(sales#22)#88 as decimal(37,2)) AS sales#91, cast(sum(returns#26)#89 as decimal(37,2)) AS returns#92, cast(sum(profit#27)#90 as decimal(38,2)) AS profit#93] - -(84) ReusedExchange [Reuses operator id: 81] -Output [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] - -(85) CometColumnarToRow [codegen id : 12] -Input [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] - -(86) HashAggregate [codegen id : 12] -Input [8]: [channel#94, id#95, sum#96, isEmpty#97, sum#98, isEmpty#99, sum#100, isEmpty#101] -Keys [2]: [channel#94, id#95] -Functions [3]: [sum(sales#102), sum(returns#103), sum(profit#104)] -Aggregate Attributes [3]: [sum(sales#102)#88, sum(returns#103)#89, sum(profit#104)#90] -Results [4]: [channel#94, sum(sales#102)#88 AS sales#105, sum(returns#103)#89 AS returns#106, sum(profit#104)#90 AS profit#107] - -(87) HashAggregate [codegen id : 12] -Input [4]: [channel#94, sales#105, returns#106, profit#107] -Keys [1]: [channel#94] -Functions [3]: [partial_sum(sales#105), partial_sum(returns#106), partial_sum(profit#107)] -Aggregate Attributes [6]: [sum#108, isEmpty#109, sum#110, isEmpty#111, sum#112, isEmpty#113] -Results [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(88) CometColumnarExchange -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] -Arguments: hashpartitioning(channel#94, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=9] - -(89) CometColumnarToRow [codegen id : 13] -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] - -(90) HashAggregate [codegen id : 13] -Input [7]: [channel#94, sum#114, isEmpty#115, sum#116, isEmpty#117, sum#118, isEmpty#119] -Keys [1]: [channel#94] -Functions [3]: [sum(sales#105), sum(returns#106), sum(profit#107)] -Aggregate Attributes [3]: [sum(sales#105)#120, sum(returns#106)#121, sum(profit#107)#122] -Results [5]: [channel#94, null AS id#123, sum(sales#105)#120 AS sales#124, sum(returns#106)#121 AS returns#125, sum(profit#107)#122 AS profit#126] - -(91) ReusedExchange [Reuses operator id: 81] -Output [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] - -(92) CometColumnarToRow [codegen id : 19] -Input [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] - -(93) HashAggregate [codegen id : 19] -Input [8]: [channel#127, id#128, sum#129, isEmpty#130, sum#131, isEmpty#132, sum#133, isEmpty#134] -Keys [2]: [channel#127, id#128] -Functions [3]: [sum(sales#135), sum(returns#136), sum(profit#137)] -Aggregate Attributes [3]: [sum(sales#135)#88, sum(returns#136)#89, sum(profit#137)#90] -Results [3]: [sum(sales#135)#88 AS sales#138, sum(returns#136)#89 AS returns#139, sum(profit#137)#90 AS profit#140] - -(94) HashAggregate [codegen id : 19] -Input [3]: [sales#138, returns#139, profit#140] -Keys: [] -Functions [3]: [partial_sum(sales#138), partial_sum(returns#139), partial_sum(profit#140)] -Aggregate Attributes [6]: [sum#141, isEmpty#142, sum#143, isEmpty#144, sum#145, isEmpty#146] -Results [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] -(95) CometColumnarExchange -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=10] +(83) ReusedExchange [Reuses operator id: 81] +Output [8]: [channel#88, id#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95] + +(84) CometHashAggregate +Input [8]: [channel#88, id#89, sum#90, isEmpty#91, sum#92, isEmpty#93, sum#94, isEmpty#95] +Keys [2]: [channel#88, id#89] +Functions [3]: [sum(sales#96), sum(returns#97), sum(profit#98)] + +(85) CometHashAggregate +Input [4]: [channel#88, sales#99, returns#100, profit#101] +Keys [1]: [channel#88] +Functions [3]: [partial_sum(sales#99), partial_sum(returns#100), partial_sum(profit#101)] + +(86) CometExchange +Input [7]: [channel#88, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107] +Arguments: hashpartitioning(channel#88, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=9] + +(87) CometHashAggregate +Input [7]: [channel#88, sum#102, isEmpty#103, sum#104, isEmpty#105, sum#106, isEmpty#107] +Keys [1]: [channel#88] +Functions [3]: [sum(sales#99), sum(returns#100), sum(profit#101)] + +(88) ReusedExchange [Reuses operator id: 81] +Output [8]: [channel#108, id#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115] + +(89) CometHashAggregate +Input [8]: [channel#108, id#109, sum#110, isEmpty#111, sum#112, isEmpty#113, sum#114, isEmpty#115] +Keys [2]: [channel#108, id#109] +Functions [3]: [sum(sales#116), sum(returns#117), sum(profit#118)] + +(90) CometHashAggregate +Input [3]: [sales#119, returns#120, profit#121] +Keys: [] +Functions [3]: [partial_sum(sales#119), partial_sum(returns#120), partial_sum(profit#121)] -(96) CometColumnarToRow [codegen id : 20] -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] +(91) CometExchange +Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=10] -(97) HashAggregate [codegen id : 20] -Input [6]: [sum#147, isEmpty#148, sum#149, isEmpty#150, sum#151, isEmpty#152] +(92) CometHashAggregate +Input [6]: [sum#122, isEmpty#123, sum#124, isEmpty#125, sum#126, isEmpty#127] Keys: [] -Functions [3]: [sum(sales#138), sum(returns#139), sum(profit#140)] -Aggregate Attributes [3]: [sum(sales#138)#153, sum(returns#139)#154, sum(profit#140)#155] -Results [5]: [null AS channel#156, null AS id#157, sum(sales#138)#153 AS sales#158, sum(returns#139)#154 AS returns#159, sum(profit#140)#155 AS profit#160] +Functions [3]: [sum(sales#119), sum(returns#120), sum(profit#121)] -(98) Union +(93) CometUnion +Child 0 Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Child 1 Input [5]: [channel#88, id#131, sales#132, returns#133, profit#134] +Child 2 Input [5]: [channel#135, id#136, sales#137, returns#138, profit#139] -(99) HashAggregate [codegen id : 21] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(94) CometHashAggregate +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Keys [5]: [channel#24, id#25, sales#128, returns#129, profit#130] Functions: [] -Aggregate Attributes: [] -Results [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -(100) CometColumnarExchange -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: hashpartitioning(channel#24, id#25, sales#91, returns#92, profit#93, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=11] +(95) CometExchange +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Arguments: hashpartitioning(channel#24, id#25, sales#128, returns#129, profit#130, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=11] -(101) CometHashAggregate -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Keys [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(96) CometHashAggregate +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Keys [5]: [channel#24, id#25, sales#128, returns#129, profit#130] Functions: [] -(102) CometTakeOrderedAndProject -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] -Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#91,returns#92,profit#93]), [channel#24, id#25, sales#91, returns#92, profit#93], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#91, returns#92, profit#93] +(97) CometTakeOrderedAndProject +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] +Arguments: TakeOrderedAndProject(limit=100, orderBy=[channel#24 ASC NULLS FIRST,id#25 ASC NULLS FIRST], output=[channel#24,id#25,sales#128,returns#129,profit#130]), [channel#24, id#25, sales#128, returns#129, profit#130], 100, 0, [channel#24 ASC NULLS FIRST, id#25 ASC NULLS FIRST], [channel#24, id#25, sales#128, returns#129, profit#130] -(103) CometColumnarToRow [codegen id : 22] -Input [5]: [channel#24, id#25, sales#91, returns#92, profit#93] +(98) CometColumnarToRow [codegen id : 16] +Input [5]: [channel#24, id#25, sales#128, returns#129, profit#130] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#4 IN dynamicpruning#5 -BroadcastExchange (108) -+- * CometColumnarToRow (107) - +- CometProject (106) - +- CometFilter (105) - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (104) +BroadcastExchange (103) ++- * CometColumnarToRow (102) + +- CometProject (101) + +- CometFilter (100) + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim (99) -(104) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim +(99) CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim Output [2]: [d_date_sk#6, d_date#7] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1998-08-04), LessThanOrEqual(d_date,1998-09-03), IsNotNull(d_date_sk)] ReadSchema: struct -(105) CometFilter +(100) CometFilter Input [2]: [d_date_sk#6, d_date#7] Condition : (((isnotnull(d_date#7) AND (d_date#7 >= 1998-08-04)) AND (d_date#7 <= 1998-09-03)) AND isnotnull(d_date_sk#6)) -(106) CometProject +(101) CometProject Input [2]: [d_date_sk#6, d_date#7] Arguments: [d_date_sk#6], [d_date_sk#6] -(107) CometColumnarToRow [codegen id : 1] +(102) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#6] -(108) BroadcastExchange +(103) BroadcastExchange Input [1]: [d_date_sk#6] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=12] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/extended.txt index b4318d03e2..dbd61de423 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/extended.txt @@ -1,355 +1,350 @@ CometColumnarToRow +- CometTakeOrderedAndProject +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Union + : :- CometColumnarToRow + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometProject + : : : : +- CometBroadcastHashJoin + : : : : :- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : : +- SubqueryBroadcast + : : : : : +- BroadcastExchange + : : : : : +- CometColumnarToRow + : : : : : +- CometProject + : : : : : +- CometFilter + : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : : +- CometBroadcastExchange + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : : +- CometBroadcastExchange + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : :- Project + : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : : :- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometHashAggregate + : : : +- CometExchange + : : : +- CometHashAggregate + : : : +- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : : +- ReusedSubquery + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + : +- CometBroadcastExchange : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Union - : :- CometColumnarToRow - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometProject - : : : : +- CometBroadcastHashJoin - : : : : :- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : : +- SubqueryBroadcast - : : : : : +- BroadcastExchange - : : : : : +- CometColumnarToRow - : : : : : +- CometProject - : : : : : +- CometFilter - : : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : : +- CometBroadcastExchange - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : : +- CometBroadcastExchange - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : :- Project - : : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : : :- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometHashAggregate - : : : +- CometExchange - : : : +- CometHashAggregate - : : : +- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : : +- ReusedSubquery - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - : +- CometBroadcastExchange + : +- CometExchange : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Union - :- CometColumnarToRow - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometProject - : : : +- CometBroadcastHashJoin - : : : :- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales - : : : : +- SubqueryBroadcast - : : : : +- BroadcastExchange - : : : : +- CometColumnarToRow - : : : : +- CometProject - : : : : +- CometFilter - : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : : +- CometBroadcastExchange - : : : +- CometProject - : : : +- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : : +- CometBroadcastExchange - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - : +- CometBroadcastExchange - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store - :- Project - : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] - : :- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometHashAggregate - : : +- CometExchange - : : +- CometHashAggregate - : : +- CometProject - : : +- CometBroadcastHashJoin - : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometColumnarToRow - : +- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometColumnarToRow - +- CometProject - +- CometBroadcastHashJoin - :- CometHashAggregate - : +- CometExchange - : +- CometHashAggregate - : +- CometProject - : +- CometBroadcastHashJoin - : :- CometProject - : : +- CometBroadcastHashJoin - : : :- CometFilter - : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales - : : : +- ReusedSubquery - : : +- CometBroadcastExchange - : : +- CometProject - : : +- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - : +- CometBroadcastExchange - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page - +- CometBroadcastExchange + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Union + :- CometColumnarToRow + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometProject + : : : +- CometBroadcastHashJoin + : : : :- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales + : : : : +- SubqueryBroadcast + : : : : +- BroadcastExchange + : : : : +- CometColumnarToRow + : : : : +- CometProject + : : : : +- CometFilter + : : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : : +- CometBroadcastExchange + : : : +- CometProject + : : : +- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : : +- CometBroadcastExchange + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + : +- CometBroadcastExchange + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.store + :- Project + : +- BroadcastNestedLoopJoin [COMET: BroadcastNestedLoopJoin is not supported] + : :- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometHashAggregate + : : +- CometExchange + : : +- CometHashAggregate + : : +- CometProject + : : +- CometBroadcastHashJoin + : : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometColumnarToRow + : +- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometColumnarToRow + +- CometProject + +- CometBroadcastHashJoin + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometProject + : +- CometBroadcastHashJoin + : :- CometProject + : : +- CometBroadcastHashJoin + : : :- CometFilter + : : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales + : : : +- ReusedSubquery + : : +- CometBroadcastExchange + : : +- CometProject + : : +- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + : +- CometBroadcastExchange + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometBroadcastExchange + +- CometHashAggregate + +- CometExchange +- CometHashAggregate - +- CometExchange - +- CometHashAggregate - +- CometProject - +- CometBroadcastHashJoin - :- CometProject - : +- CometBroadcastHashJoin - : :- CometFilter - : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns - : : +- ReusedSubquery - : +- CometBroadcastExchange - : +- CometProject - : +- CometFilter - : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim - +- CometBroadcastExchange - +- CometFilter - +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page + +- CometProject + +- CometBroadcastHashJoin + :- CometProject + : +- CometBroadcastHashJoin + : :- CometFilter + : : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns + : : +- ReusedSubquery + : +- CometBroadcastExchange + : +- CometProject + : +- CometFilter + : +- CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim + +- CometBroadcastExchange + +- CometFilter + +- CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page -Comet accelerated 287 out of 332 eligible operators (86%). Final plan contains 21 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 296 out of 332 eligible operators (89%). Final plan contains 16 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/simplified.txt index ac3d312ee8..7812b222c7 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q77a/simplified.txt @@ -1,141 +1,124 @@ -WholeStageCodegen (22) +WholeStageCodegen (16) CometColumnarToRow InputAdapter CometTakeOrderedAndProject [channel,id,sales,returns,profit] CometHashAggregate [channel,id,sales,returns,profit] - CometColumnarExchange [channel,id,sales,returns,profit] #1 - WholeStageCodegen (21) - HashAggregate [channel,id,sales,returns,profit] - InputAdapter - Union - WholeStageCodegen (6) - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel,id] #2 - WholeStageCodegen (5) - HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometExchange [channel,id,sales,returns,profit] #1 + CometHashAggregate [channel,id,sales,returns,profit] + CometUnion [channel,id,sales,returns,profit] + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometColumnarExchange [channel,id] #2 + WholeStageCodegen (5) + HashAggregate [channel,id,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] + InputAdapter + Union + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] + CometExchange [s_store_sk] #3 + CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] + CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] + CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] + CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] + CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [d_date_sk] #5 + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] + CometBroadcastExchange [s_store_sk] #6 + CometFilter [s_store_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] + CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 + CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] + CometExchange [s_store_sk] #8 + CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] + CometProject [sr_return_amt,sr_net_loss,s_store_sk] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] + CometProject [sr_store_sk,sr_return_amt,sr_net_loss] + CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] + CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [s_store_sk] #6 + WholeStageCodegen (3) + Project [cs_call_center_sk,sales,returns,profit,profit_loss] + BroadcastNestedLoopJoin InputAdapter - Union - WholeStageCodegen (1) + BroadcastExchange #9 + WholeStageCodegen (2) CometColumnarToRow InputAdapter - CometProject [s_store_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [s_store_sk,sales,profit,s_store_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [s_store_sk,sales,profit,sum(UnscaledValue(ss_ext_sales_price)),sum(UnscaledValue(ss_net_profit))] - CometExchange [s_store_sk] #3 - CometHashAggregate [ss_ext_sales_price,ss_net_profit] [s_store_sk,sum,sum] - CometProject [ss_ext_sales_price,ss_net_profit,s_store_sk] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,s_store_sk] - CometProject [ss_store_sk,ss_ext_sales_price,ss_net_profit] - CometBroadcastHashJoin [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk,d_date_sk] - CometFilter [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_sales [ss_store_sk,ss_ext_sales_price,ss_net_profit,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [d_date_sk] #5 - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometScan [native_iceberg_compat] parquet spark_catalog.default.date_dim [d_date_sk,d_date] - CometBroadcastExchange [s_store_sk] #6 - CometFilter [s_store_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store [s_store_sk] - CometBroadcastExchange [s_store_sk,returns,profit_loss] #7 - CometHashAggregate [sum,sum] [s_store_sk,returns,profit_loss,sum(UnscaledValue(sr_return_amt)),sum(UnscaledValue(sr_net_loss))] - CometExchange [s_store_sk] #8 - CometHashAggregate [sr_return_amt,sr_net_loss] [s_store_sk,sum,sum] - CometProject [sr_return_amt,sr_net_loss,s_store_sk] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,s_store_sk] - CometProject [sr_store_sk,sr_return_amt,sr_net_loss] - CometBroadcastHashJoin [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk,d_date_sk] - CometFilter [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.store_returns [sr_store_sk,sr_return_amt,sr_net_loss,sr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [s_store_sk] #6 - WholeStageCodegen (3) - Project [cs_call_center_sk,sales,returns,profit,profit_loss] - BroadcastNestedLoopJoin - InputAdapter - BroadcastExchange #9 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] - CometExchange [cs_call_center_sk] #10 - CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] - CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] - CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometColumnarToRow - InputAdapter - CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] - CometExchange #11 - CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] - CometProject [cr_return_amount,cr_net_loss] - CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - WholeStageCodegen (4) - CometColumnarToRow - InputAdapter - CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] - CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] - CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] - CometExchange [wp_web_page_sk] #12 - CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] - CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] - CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] - CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] - CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - CometBroadcastExchange [wp_web_page_sk] #13 - CometFilter [wp_web_page_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] - CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 - CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] - CometExchange [wp_web_page_sk] #15 - CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] - CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] - CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] - CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] - CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] - ReusedSubquery [d_date_sk] #1 - ReusedExchange [d_date_sk] #5 - ReusedExchange [wp_web_page_sk] #13 - WholeStageCodegen (13) - HashAggregate [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [channel] #16 - WholeStageCodegen (12) - HashAggregate [channel,sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 - WholeStageCodegen (20) - HashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),channel,id,sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #17 - WholeStageCodegen (19) - HashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty,sum,isEmpty] - HashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sum(sales),sum(returns),sum(profit),sales,returns,profit,sum,isEmpty,sum,isEmpty,sum,isEmpty] - CometColumnarToRow - InputAdapter - ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,sum] [cs_call_center_sk,sales,profit,sum(UnscaledValue(cs_ext_sales_price)),sum(UnscaledValue(cs_net_profit))] + CometExchange [cs_call_center_sk] #10 + CometHashAggregate [cs_ext_sales_price,cs_net_profit] [cs_call_center_sk,sum,sum] + CometProject [cs_call_center_sk,cs_ext_sales_price,cs_net_profit] + CometBroadcastHashJoin [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_sales [cs_call_center_sk,cs_ext_sales_price,cs_net_profit,cs_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometColumnarToRow + InputAdapter + CometHashAggregate [sum,sum] [returns,profit_loss,sum(UnscaledValue(cr_return_amount)),sum(UnscaledValue(cr_net_loss))] + CometExchange #11 + CometHashAggregate [cr_return_amount,cr_net_loss] [sum,sum] + CometProject [cr_return_amount,cr_net_loss] + CometBroadcastHashJoin [cr_return_amount,cr_net_loss,cr_returned_date_sk,d_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.catalog_returns [cr_return_amount,cr_net_loss,cr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + WholeStageCodegen (4) + CometColumnarToRow + InputAdapter + CometProject [wp_web_page_sk,returns,profit,profit_loss] [channel,id,sales,returns,profit] + CometBroadcastHashJoin [wp_web_page_sk,sales,profit,wp_web_page_sk,returns,profit_loss] + CometHashAggregate [sum,sum] [wp_web_page_sk,sales,profit,sum(UnscaledValue(ws_ext_sales_price)),sum(UnscaledValue(ws_net_profit))] + CometExchange [wp_web_page_sk] #12 + CometHashAggregate [ws_ext_sales_price,ws_net_profit] [wp_web_page_sk,sum,sum] + CometProject [ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,wp_web_page_sk] + CometProject [ws_web_page_sk,ws_ext_sales_price,ws_net_profit] + CometBroadcastHashJoin [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk,d_date_sk] + CometFilter [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_sales [ws_web_page_sk,ws_ext_sales_price,ws_net_profit,ws_sold_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + CometBroadcastExchange [wp_web_page_sk] #13 + CometFilter [wp_web_page_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_page [wp_web_page_sk] + CometBroadcastExchange [wp_web_page_sk,returns,profit_loss] #14 + CometHashAggregate [sum,sum] [wp_web_page_sk,returns,profit_loss,sum(UnscaledValue(wr_return_amt)),sum(UnscaledValue(wr_net_loss))] + CometExchange [wp_web_page_sk] #15 + CometHashAggregate [wr_return_amt,wr_net_loss] [wp_web_page_sk,sum,sum] + CometProject [wr_return_amt,wr_net_loss,wp_web_page_sk] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wp_web_page_sk] + CometProject [wr_web_page_sk,wr_return_amt,wr_net_loss] + CometBroadcastHashJoin [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk,d_date_sk] + CometFilter [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + CometScan [native_iceberg_compat] parquet spark_catalog.default.web_returns [wr_web_page_sk,wr_return_amt,wr_net_loss,wr_returned_date_sk] + ReusedSubquery [d_date_sk] #1 + ReusedExchange [d_date_sk] #5 + ReusedExchange [wp_web_page_sk] #13 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange [channel] #16 + CometHashAggregate [sales,returns,profit] [channel,sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 + CometHashAggregate [sum,isEmpty,sum,isEmpty,sum,isEmpty] [channel,id,sales,returns,profit,sum(sales),sum(returns),sum(profit)] + CometExchange #17 + CometHashAggregate [sales,returns,profit] [sum,isEmpty,sum,isEmpty,sum,isEmpty] + CometHashAggregate [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] [sales,returns,profit,sum(sales),sum(returns),sum(profit)] + ReusedExchange [channel,id,sum,isEmpty,sum,isEmpty,sum,isEmpty] #2 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/explain.txt index 639c731999..45e25f846e 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/explain.txt @@ -1,45 +1,40 @@ == Physical Plan == -TakeOrderedAndProject (41) -+- * Project (40) - +- Window (39) - +- * CometColumnarToRow (38) - +- CometSort (37) - +- CometExchange (36) - +- CometHashAggregate (35) - +- CometColumnarExchange (34) - +- * HashAggregate (33) - +- Union (32) - :- * HashAggregate (17) - : +- * CometColumnarToRow (16) - : +- CometColumnarExchange (15) - : +- * HashAggregate (14) - : +- * Project (13) - : +- * BroadcastHashJoin Inner BuildRight (12) - : :- * Project (6) - : : +- * BroadcastHashJoin Inner BuildRight (5) - : : :- * Filter (3) - : : : +- * ColumnarToRow (2) - : : : +- Scan parquet spark_catalog.default.web_sales (1) - : : +- ReusedExchange (4) - : +- BroadcastExchange (11) - : +- * CometColumnarToRow (10) - : +- CometProject (9) - : +- CometFilter (8) - : +- CometNativeScan parquet spark_catalog.default.item (7) - :- * HashAggregate (24) - : +- * CometColumnarToRow (23) - : +- CometColumnarExchange (22) - : +- * HashAggregate (21) - : +- * HashAggregate (20) - : +- * CometColumnarToRow (19) - : +- ReusedExchange (18) - +- * HashAggregate (31) - +- * CometColumnarToRow (30) - +- CometColumnarExchange (29) - +- * HashAggregate (28) - +- * HashAggregate (27) - +- * CometColumnarToRow (26) - +- ReusedExchange (25) +TakeOrderedAndProject (36) ++- * Project (35) + +- Window (34) + +- * CometColumnarToRow (33) + +- CometSort (32) + +- CometExchange (31) + +- CometHashAggregate (30) + +- CometExchange (29) + +- CometHashAggregate (28) + +- CometUnion (27) + :- CometHashAggregate (16) + : +- CometColumnarExchange (15) + : +- * HashAggregate (14) + : +- * Project (13) + : +- * BroadcastHashJoin Inner BuildRight (12) + : :- * Project (6) + : : +- * BroadcastHashJoin Inner BuildRight (5) + : : :- * Filter (3) + : : : +- * ColumnarToRow (2) + : : : +- Scan parquet spark_catalog.default.web_sales (1) + : : +- ReusedExchange (4) + : +- BroadcastExchange (11) + : +- * CometColumnarToRow (10) + : +- CometProject (9) + : +- CometFilter (8) + : +- CometNativeScan parquet spark_catalog.default.item (7) + :- CometHashAggregate (21) + : +- CometExchange (20) + : +- CometHashAggregate (19) + : +- CometHashAggregate (18) + : +- ReusedExchange (17) + +- CometHashAggregate (26) + +- CometExchange (25) + +- CometHashAggregate (24) + +- CometHashAggregate (23) + +- ReusedExchange (22) (1) Scan parquet spark_catalog.default.web_sales @@ -57,7 +52,7 @@ Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Input [3]: [ws_item_sk#1, ws_net_paid#2, ws_sold_date_sk#3] Condition : isnotnull(ws_item_sk#1) -(4) ReusedExchange [Reuses operator id: 46] +(4) ReusedExchange [Reuses operator id: 41] Output [1]: [d_date_sk#5] (5) BroadcastHashJoin [codegen id : 3] @@ -113,154 +108,126 @@ Results [3]: [i_category#10, i_class#9, sum#12] Input [3]: [i_category#10, i_class#9, sum#12] Arguments: hashpartitioning(i_category#10, i_class#9, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [3]: [i_category#10, i_class#9, sum#12] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [3]: [i_category#10, i_class#9, sum#12] Keys [2]: [i_category#10, i_class#9] Functions [1]: [sum(UnscaledValue(ws_net_paid#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#2))#13] -Results [6]: [cast(MakeDecimal(sum(UnscaledValue(ws_net_paid#2))#13,17,2) as decimal(27,2)) AS total_sum#14, i_category#10 AS i_category#15, i_class#9 AS i_class#16, 0 AS g_category#17, 0 AS g_class#18, 0 AS lochierarchy#19] -(18) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#20, i_class#21, sum#22] - -(19) CometColumnarToRow [codegen id : 8] -Input [3]: [i_category#20, i_class#21, sum#22] +(17) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#13, i_class#14, sum#15] -(20) HashAggregate [codegen id : 8] -Input [3]: [i_category#20, i_class#21, sum#22] -Keys [2]: [i_category#20, i_class#21] -Functions [1]: [sum(UnscaledValue(ws_net_paid#23))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#23))#13] -Results [2]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#23))#13,17,2) AS total_sum#24, i_category#20] +(18) CometHashAggregate +Input [3]: [i_category#13, i_class#14, sum#15] +Keys [2]: [i_category#13, i_class#14] +Functions [1]: [sum(UnscaledValue(ws_net_paid#16))] -(21) HashAggregate [codegen id : 8] -Input [2]: [total_sum#24, i_category#20] -Keys [1]: [i_category#20] -Functions [1]: [partial_sum(total_sum#24)] -Aggregate Attributes [2]: [sum#25, isEmpty#26] -Results [3]: [i_category#20, sum#27, isEmpty#28] +(19) CometHashAggregate +Input [2]: [total_sum#17, i_category#13] +Keys [1]: [i_category#13] +Functions [1]: [partial_sum(total_sum#17)] -(22) CometColumnarExchange -Input [3]: [i_category#20, sum#27, isEmpty#28] -Arguments: hashpartitioning(i_category#20, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(20) CometExchange +Input [3]: [i_category#13, sum#18, isEmpty#19] +Arguments: hashpartitioning(i_category#13, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(23) CometColumnarToRow [codegen id : 9] -Input [3]: [i_category#20, sum#27, isEmpty#28] +(21) CometHashAggregate +Input [3]: [i_category#13, sum#18, isEmpty#19] +Keys [1]: [i_category#13] +Functions [1]: [sum(total_sum#17)] -(24) HashAggregate [codegen id : 9] -Input [3]: [i_category#20, sum#27, isEmpty#28] -Keys [1]: [i_category#20] -Functions [1]: [sum(total_sum#24)] -Aggregate Attributes [1]: [sum(total_sum#24)#29] -Results [6]: [sum(total_sum#24)#29 AS total_sum#30, i_category#20, null AS i_class#31, 0 AS g_category#32, 1 AS g_class#33, 1 AS lochierarchy#34] - -(25) ReusedExchange [Reuses operator id: 15] -Output [3]: [i_category#35, i_class#36, sum#37] - -(26) CometColumnarToRow [codegen id : 13] -Input [3]: [i_category#35, i_class#36, sum#37] +(22) ReusedExchange [Reuses operator id: 15] +Output [3]: [i_category#20, i_class#21, sum#22] -(27) HashAggregate [codegen id : 13] -Input [3]: [i_category#35, i_class#36, sum#37] -Keys [2]: [i_category#35, i_class#36] -Functions [1]: [sum(UnscaledValue(ws_net_paid#38))] -Aggregate Attributes [1]: [sum(UnscaledValue(ws_net_paid#38))#13] -Results [1]: [MakeDecimal(sum(UnscaledValue(ws_net_paid#38))#13,17,2) AS total_sum#39] +(23) CometHashAggregate +Input [3]: [i_category#20, i_class#21, sum#22] +Keys [2]: [i_category#20, i_class#21] +Functions [1]: [sum(UnscaledValue(ws_net_paid#23))] -(28) HashAggregate [codegen id : 13] -Input [1]: [total_sum#39] +(24) CometHashAggregate +Input [1]: [total_sum#24] Keys: [] -Functions [1]: [partial_sum(total_sum#39)] -Aggregate Attributes [2]: [sum#40, isEmpty#41] -Results [2]: [sum#42, isEmpty#43] - -(29) CometColumnarExchange -Input [2]: [sum#42, isEmpty#43] -Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +Functions [1]: [partial_sum(total_sum#24)] -(30) CometColumnarToRow [codegen id : 14] -Input [2]: [sum#42, isEmpty#43] +(25) CometExchange +Input [2]: [sum#25, isEmpty#26] +Arguments: SinglePartition, ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=4] -(31) HashAggregate [codegen id : 14] -Input [2]: [sum#42, isEmpty#43] +(26) CometHashAggregate +Input [2]: [sum#25, isEmpty#26] Keys: [] -Functions [1]: [sum(total_sum#39)] -Aggregate Attributes [1]: [sum(total_sum#39)#44] -Results [6]: [sum(total_sum#39)#44 AS total_sum#45, null AS i_category#46, null AS i_class#47, 1 AS g_category#48, 1 AS g_class#49, 2 AS lochierarchy#50] +Functions [1]: [sum(total_sum#24)] -(32) Union +(27) CometUnion +Child 0 Input [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] +Child 1 Input [6]: [total_sum#33, i_category#13, i_class#34, g_category#35, g_class#36, lochierarchy#37] +Child 2 Input [6]: [total_sum#38, i_category#39, i_class#40, g_category#41, g_class#42, lochierarchy#43] -(33) HashAggregate [codegen id : 15] -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(28) CometHashAggregate +Input [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] +Keys [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] Functions: [] -Aggregate Attributes: [] -Results [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -(34) CometColumnarExchange -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Arguments: hashpartitioning(total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=5] +(29) CometExchange +Input [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] +Arguments: hashpartitioning(total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=5] -(35) CometHashAggregate -Input [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] -Keys [6]: [total_sum#14, i_category#15, i_class#16, g_category#17, g_class#18, lochierarchy#19] +(30) CometHashAggregate +Input [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] +Keys [6]: [total_sum#27, i_category#28, i_class#29, g_category#30, g_class#31, lochierarchy#32] Functions: [] -(36) CometExchange -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51] -Arguments: hashpartitioning(lochierarchy#19, _w0#51, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] +(31) CometExchange +Input [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44] +Arguments: hashpartitioning(lochierarchy#32, _w0#44, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=6] -(37) CometSort -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51] -Arguments: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51], [lochierarchy#19 ASC NULLS FIRST, _w0#51 ASC NULLS FIRST, total_sum#14 DESC NULLS LAST] +(32) CometSort +Input [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44] +Arguments: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44], [lochierarchy#32 ASC NULLS FIRST, _w0#44 ASC NULLS FIRST, total_sum#27 DESC NULLS LAST] -(38) CometColumnarToRow [codegen id : 16] -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51] +(33) CometColumnarToRow [codegen id : 10] +Input [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44] -(39) Window -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51] -Arguments: [rank(total_sum#14) windowspecdefinition(lochierarchy#19, _w0#51, total_sum#14 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#52], [lochierarchy#19, _w0#51], [total_sum#14 DESC NULLS LAST] +(34) Window +Input [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44] +Arguments: [rank(total_sum#27) windowspecdefinition(lochierarchy#32, _w0#44, total_sum#27 DESC NULLS LAST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rank_within_parent#45], [lochierarchy#32, _w0#44], [total_sum#27 DESC NULLS LAST] -(40) Project [codegen id : 17] -Output [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#52] -Input [6]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, _w0#51, rank_within_parent#52] +(35) Project [codegen id : 11] +Output [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, rank_within_parent#45] +Input [6]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, _w0#44, rank_within_parent#45] -(41) TakeOrderedAndProject -Input [5]: [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#52] -Arguments: 100, [lochierarchy#19 DESC NULLS LAST, CASE WHEN (lochierarchy#19 = 0) THEN i_category#15 END ASC NULLS FIRST, rank_within_parent#52 ASC NULLS FIRST], [total_sum#14, i_category#15, i_class#16, lochierarchy#19, rank_within_parent#52] +(36) TakeOrderedAndProject +Input [5]: [total_sum#27, i_category#28, i_class#29, lochierarchy#32, rank_within_parent#45] +Arguments: 100, [lochierarchy#32 DESC NULLS LAST, CASE WHEN (lochierarchy#32 = 0) THEN i_category#28 END ASC NULLS FIRST, rank_within_parent#45 ASC NULLS FIRST], [total_sum#27, i_category#28, i_class#29, lochierarchy#32, rank_within_parent#45] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ws_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (46) -+- * CometColumnarToRow (45) - +- CometProject (44) - +- CometFilter (43) - +- CometNativeScan parquet spark_catalog.default.date_dim (42) +BroadcastExchange (41) ++- * CometColumnarToRow (40) + +- CometProject (39) + +- CometFilter (38) + +- CometNativeScan parquet spark_catalog.default.date_dim (37) -(42) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#5, d_month_seq#53] +(37) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#5, d_month_seq#46] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_month_seq), GreaterThanOrEqual(d_month_seq,1212), LessThanOrEqual(d_month_seq,1223), IsNotNull(d_date_sk)] ReadSchema: struct -(43) CometFilter -Input [2]: [d_date_sk#5, d_month_seq#53] -Condition : (((isnotnull(d_month_seq#53) AND (d_month_seq#53 >= 1212)) AND (d_month_seq#53 <= 1223)) AND isnotnull(d_date_sk#5)) +(38) CometFilter +Input [2]: [d_date_sk#5, d_month_seq#46] +Condition : (((isnotnull(d_month_seq#46) AND (d_month_seq#46 >= 1212)) AND (d_month_seq#46 <= 1223)) AND isnotnull(d_date_sk#5)) -(44) CometProject -Input [2]: [d_date_sk#5, d_month_seq#53] +(39) CometProject +Input [2]: [d_date_sk#5, d_month_seq#46] Arguments: [d_date_sk#5], [d_date_sk#5] -(45) CometColumnarToRow [codegen id : 1] +(40) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#5] -(46) BroadcastExchange +(41) BroadcastExchange Input [1]: [d_date_sk#5] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=7] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/extended.txt index a5b37c422c..871cd88c89 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/extended.txt @@ -5,97 +5,92 @@ TakeOrderedAndProject +- CometSort +- CometExchange +- CometHashAggregate - +- CometColumnarExchange - +- HashAggregate - +- Union - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - :- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- HashAggregate - : +- CometColumnarToRow - : +- CometColumnarExchange - : +- HashAggregate - : +- Project - : +- BroadcastHashJoin - : :- Project - : : +- BroadcastHashJoin - : : :- Filter - : : : +- ColumnarToRow - : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : : +- SubqueryBroadcast - : : : +- BroadcastExchange - : : : +- CometColumnarToRow - : : : +- CometProject - : : : +- CometFilter - : : : +- CometNativeScan parquet spark_catalog.default.date_dim - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.date_dim - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.item + +- CometExchange + +- CometHashAggregate + +- CometUnion + :- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + :- CometHashAggregate + : +- CometExchange + : +- CometHashAggregate + : +- CometHashAggregate + : +- CometColumnarExchange + : +- HashAggregate + : +- Project + : +- BroadcastHashJoin + : :- Project + : : +- BroadcastHashJoin + : : :- Filter + : : : +- ColumnarToRow + : : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : : +- SubqueryBroadcast + : : : +- BroadcastExchange + : : : +- CometColumnarToRow + : : : +- CometProject + : : : +- CometFilter + : : : +- CometNativeScan parquet spark_catalog.default.date_dim + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- CometHashAggregate + +- CometExchange + +- CometHashAggregate + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.web_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.date_dim + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.item -Comet accelerated 36 out of 81 eligible operators (44%). Final plan contains 18 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 45 out of 81 eligible operators (55%). Final plan contains 13 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/simplified.txt index 2ccc8c0c39..c770397391 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q86a.native_datafusion/simplified.txt @@ -1,71 +1,54 @@ TakeOrderedAndProject [lochierarchy,i_category,rank_within_parent,total_sum,i_class] - WholeStageCodegen (17) + WholeStageCodegen (11) Project [total_sum,i_category,i_class,lochierarchy,rank_within_parent] InputAdapter Window [total_sum,lochierarchy,_w0] - WholeStageCodegen (16) + WholeStageCodegen (10) CometColumnarToRow InputAdapter CometSort [total_sum,i_category,i_class,lochierarchy,_w0] CometExchange [lochierarchy,_w0] #1 CometHashAggregate [g_category] [total_sum,i_category,i_class,lochierarchy,_w0,g_class] - CometColumnarExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 - WholeStageCodegen (15) - HashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] - InputAdapter - Union - WholeStageCodegen (4) - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category,i_class] #3 - WholeStageCodegen (3) - HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] - Project [ws_net_paid,i_class,i_category] - BroadcastHashJoin [ws_item_sk,i_item_sk] - Project [ws_item_sk,ws_net_paid] - BroadcastHashJoin [ws_sold_date_sk,d_date_sk] - Filter [ws_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_month_seq] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] - InputAdapter - ReusedExchange [d_date_sk] #4 - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (2) - CometColumnarToRow - InputAdapter - CometProject [i_class,i_category] [i_item_sk,i_class,i_category] - CometFilter [i_item_sk,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] - WholeStageCodegen (9) - HashAggregate [i_category,sum,isEmpty] [sum(total_sum),total_sum,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_category] #6 - WholeStageCodegen (8) - HashAggregate [i_category,total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 - WholeStageCodegen (14) - HashAggregate [sum,isEmpty] [sum(total_sum),total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum,isEmpty] - CometColumnarToRow - InputAdapter - CometColumnarExchange #7 - WholeStageCodegen (13) - HashAggregate [total_sum] [sum,isEmpty,sum,isEmpty] - HashAggregate [i_category,i_class,sum] [sum(UnscaledValue(ws_net_paid)),total_sum,sum] - CometColumnarToRow - InputAdapter - ReusedExchange [i_category,i_class,sum] #3 + CometExchange [total_sum,i_category,i_class,g_category,g_class,lochierarchy] #2 + CometHashAggregate [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometUnion [total_sum,i_category,i_class,g_category,g_class,lochierarchy] + CometHashAggregate [sum] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(UnscaledValue(ws_net_paid)),i_category,i_class] + CometColumnarExchange [i_category,i_class] #3 + WholeStageCodegen (3) + HashAggregate [i_category,i_class,ws_net_paid] [sum,sum] + Project [ws_net_paid,i_class,i_category] + BroadcastHashJoin [ws_item_sk,i_item_sk] + Project [ws_item_sk,ws_net_paid] + BroadcastHashJoin [ws_sold_date_sk,d_date_sk] + Filter [ws_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.web_sales [ws_item_sk,ws_net_paid,ws_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_month_seq] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_month_seq] + InputAdapter + ReusedExchange [d_date_sk] #4 + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (2) + CometColumnarToRow + InputAdapter + CometProject [i_class,i_category] [i_item_sk,i_class,i_category] + CometFilter [i_item_sk,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_class,i_category] + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange [i_category] #6 + CometHashAggregate [total_sum] [i_category,sum,isEmpty] + CometHashAggregate [i_class,sum] [total_sum,i_category,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 + CometHashAggregate [sum,isEmpty] [total_sum,i_category,i_class,g_category,g_class,lochierarchy,sum(total_sum)] + CometExchange #7 + CometHashAggregate [total_sum] [sum,isEmpty] + CometHashAggregate [i_category,i_class,sum] [total_sum,sum(UnscaledValue(ws_net_paid))] + ReusedExchange [i_category,i_class,sum] #3 diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/explain.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/explain.txt index bb10f1112d..74e48b52ed 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/explain.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/explain.txt @@ -1,29 +1,28 @@ == Physical Plan == -* CometColumnarToRow (25) -+- CometSort (24) - +- CometColumnarExchange (23) - +- * Project (22) - +- Window (21) - +- * CometColumnarToRow (20) - +- CometSort (19) - +- CometColumnarExchange (18) - +- * HashAggregate (17) - +- * CometColumnarToRow (16) - +- CometColumnarExchange (15) - +- * HashAggregate (14) - +- * Project (13) - +- * BroadcastHashJoin Inner BuildRight (12) - :- * Project (10) - : +- * BroadcastHashJoin Inner BuildRight (9) - : :- * Filter (3) - : : +- * ColumnarToRow (2) - : : +- Scan parquet spark_catalog.default.store_sales (1) - : +- BroadcastExchange (8) - : +- * CometColumnarToRow (7) - : +- CometProject (6) - : +- CometFilter (5) - : +- CometNativeScan parquet spark_catalog.default.item (4) - +- ReusedExchange (11) +* CometColumnarToRow (24) ++- CometSort (23) + +- CometColumnarExchange (22) + +- * Project (21) + +- Window (20) + +- * CometColumnarToRow (19) + +- CometSort (18) + +- CometExchange (17) + +- CometHashAggregate (16) + +- CometColumnarExchange (15) + +- * HashAggregate (14) + +- * Project (13) + +- * BroadcastHashJoin Inner BuildRight (12) + :- * Project (10) + : +- * BroadcastHashJoin Inner BuildRight (9) + : :- * Filter (3) + : : +- * ColumnarToRow (2) + : : +- Scan parquet spark_catalog.default.store_sales (1) + : +- BroadcastExchange (8) + : +- * CometColumnarToRow (7) + : +- CometProject (6) + : +- CometFilter (5) + : +- CometNativeScan parquet spark_catalog.default.item (4) + +- ReusedExchange (11) (1) Scan parquet spark_catalog.default.store_sales @@ -73,7 +72,7 @@ Join condition: None Output [7]: [ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] Input [9]: [ss_item_sk#1, ss_ext_sales_price#2, ss_sold_date_sk#3, i_item_sk#5, i_item_id#11, i_item_desc#7, i_current_price#8, i_class#12, i_category#13] -(11) ReusedExchange [Reuses operator id: 30] +(11) ReusedExchange [Reuses operator id: 29] Output [1]: [d_date_sk#14] (12) BroadcastHashJoin [codegen id : 3] @@ -97,75 +96,70 @@ Results [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_ Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Arguments: hashpartitioning(i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=2] -(16) CometColumnarToRow [codegen id : 4] -Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] - -(17) HashAggregate [codegen id : 4] +(16) CometHashAggregate Input [6]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, sum#16] Keys [5]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8] Functions [1]: [sum(UnscaledValue(ss_ext_sales_price#2))] -Aggregate Attributes [1]: [sum(UnscaledValue(ss_ext_sales_price#2))#17] -Results [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS itemrevenue#18, MakeDecimal(sum(UnscaledValue(ss_ext_sales_price#2))#17,17,2) AS _w0#19] -(18) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=3] +(17) CometExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: hashpartitioning(i_class#12, 5), ENSURE_REQUIREMENTS, CometNativeShuffle, [plan_id=3] -(19) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19], [i_class#12 ASC NULLS FIRST] +(18) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18], [i_class#12 ASC NULLS FIRST] -(20) CometColumnarToRow [codegen id : 5] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] +(19) CometColumnarToRow [codegen id : 4] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] -(21) Window -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19] -Arguments: [sum(_w0#19) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#20], [i_class#12] +(20) Window +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18] +Arguments: [sum(_w0#18) windowspecdefinition(i_class#12, specifiedwindowframe(RowFrame, unboundedpreceding$(), unboundedfollowing$())) AS _we0#19], [i_class#12] -(22) Project [codegen id : 6] -Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, ((_w0#19 * 100) / _we0#20) AS revenueratio#21] -Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, _w0#19, _we0#20] +(21) Project [codegen id : 5] +Output [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, ((_w0#18 * 100) / _we0#19) AS revenueratio#20] +Input [8]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, _w0#18, _we0#19] -(23) CometColumnarExchange -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] +(22) CometColumnarExchange +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: rangepartitioning(i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, CometColumnarShuffle, [plan_id=4] -(24) CometSort -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] -Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#21 ASC NULLS FIRST] +(23) CometSort +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] +Arguments: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20], [i_category#13 ASC NULLS FIRST, i_class#12 ASC NULLS FIRST, i_item_id#11 ASC NULLS FIRST, i_item_desc#7 ASC NULLS FIRST, revenueratio#20 ASC NULLS FIRST] -(25) CometColumnarToRow [codegen id : 7] -Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#18, revenueratio#21] +(24) CometColumnarToRow [codegen id : 6] +Input [7]: [i_item_id#11, i_item_desc#7, i_category#13, i_class#12, i_current_price#8, itemrevenue#17, revenueratio#20] ===== Subqueries ===== Subquery:1 Hosting operator id = 1 Hosting Expression = ss_sold_date_sk#3 IN dynamicpruning#4 -BroadcastExchange (30) -+- * CometColumnarToRow (29) - +- CometProject (28) - +- CometFilter (27) - +- CometNativeScan parquet spark_catalog.default.date_dim (26) +BroadcastExchange (29) ++- * CometColumnarToRow (28) + +- CometProject (27) + +- CometFilter (26) + +- CometNativeScan parquet spark_catalog.default.date_dim (25) -(26) CometNativeScan parquet spark_catalog.default.date_dim -Output [2]: [d_date_sk#14, d_date#22] +(25) CometNativeScan parquet spark_catalog.default.date_dim +Output [2]: [d_date_sk#14, d_date#21] Batched: true Location [not included in comparison]/{warehouse_dir}/date_dim] PushedFilters: [IsNotNull(d_date), GreaterThanOrEqual(d_date,1999-02-22), LessThanOrEqual(d_date,1999-03-24), IsNotNull(d_date_sk)] ReadSchema: struct -(27) CometFilter -Input [2]: [d_date_sk#14, d_date#22] -Condition : (((isnotnull(d_date#22) AND (d_date#22 >= 1999-02-22)) AND (d_date#22 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) +(26) CometFilter +Input [2]: [d_date_sk#14, d_date#21] +Condition : (((isnotnull(d_date#21) AND (d_date#21 >= 1999-02-22)) AND (d_date#21 <= 1999-03-24)) AND isnotnull(d_date_sk#14)) -(28) CometProject -Input [2]: [d_date_sk#14, d_date#22] +(27) CometProject +Input [2]: [d_date_sk#14, d_date#21] Arguments: [d_date_sk#14], [d_date_sk#14] -(29) CometColumnarToRow [codegen id : 1] +(28) CometColumnarToRow [codegen id : 1] Input [1]: [d_date_sk#14] -(30) BroadcastExchange +(29) BroadcastExchange Input [1]: [d_date_sk#14] Arguments: HashedRelationBroadcastMode(List(cast(input[0, int, true] as bigint)),false), [plan_id=5] diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/extended.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/extended.txt index 9ab057d467..f5d0996b8d 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/extended.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/extended.txt @@ -5,33 +5,32 @@ CometColumnarToRow +- Window [COMET: WindowExec is not fully compatible with Spark (Native WindowExec has known correctness issues). To enable it anyway, set spark.comet.operator.WindowExec.allowIncompatible=true. For more information, refer to the Comet Compatibility Guide (https://datafusion.apache.org/comet/user-guide/compatibility.html).] +- CometColumnarToRow +- CometSort - +- CometColumnarExchange - +- HashAggregate - +- CometColumnarToRow - +- CometColumnarExchange - +- HashAggregate - +- Project - +- BroadcastHashJoin - :- Project - : +- BroadcastHashJoin - : :- Filter - : : +- ColumnarToRow - : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] - : : +- SubqueryBroadcast - : : +- BroadcastExchange - : : +- CometColumnarToRow - : : +- CometProject - : : +- CometFilter - : : +- CometNativeScan parquet spark_catalog.default.date_dim - : +- BroadcastExchange - : +- CometColumnarToRow - : +- CometProject - : +- CometFilter - : +- CometNativeScan parquet spark_catalog.default.item - +- BroadcastExchange - +- CometColumnarToRow - +- CometProject - +- CometFilter - +- CometNativeScan parquet spark_catalog.default.date_dim + +- CometExchange + +- CometHashAggregate + +- CometColumnarExchange + +- HashAggregate + +- Project + +- BroadcastHashJoin + :- Project + : +- BroadcastHashJoin + : :- Filter + : : +- ColumnarToRow + : : +- Scan parquet spark_catalog.default.store_sales [COMET: Native DataFusion scan does not support subqueries/dynamic pruning] + : : +- SubqueryBroadcast + : : +- BroadcastExchange + : : +- CometColumnarToRow + : : +- CometProject + : : +- CometFilter + : : +- CometNativeScan parquet spark_catalog.default.date_dim + : +- BroadcastExchange + : +- CometColumnarToRow + : +- CometProject + : +- CometFilter + : +- CometNativeScan parquet spark_catalog.default.item + +- BroadcastExchange + +- CometColumnarToRow + +- CometProject + +- CometFilter + +- CometNativeScan parquet spark_catalog.default.date_dim -Comet accelerated 14 out of 28 eligible operators (50%). Final plan contains 7 transitions between Spark and Comet. \ No newline at end of file +Comet accelerated 15 out of 28 eligible operators (53%). Final plan contains 6 transitions between Spark and Comet. \ No newline at end of file diff --git a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/simplified.txt b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/simplified.txt index c1ec019e57..b5c4948d35 100644 --- a/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/simplified.txt +++ b/spark/src/test/resources/tpcds-plan-stability/approved-plans-v2_7-spark4_0/q98.native_datafusion/simplified.txt @@ -1,47 +1,44 @@ -WholeStageCodegen (7) +WholeStageCodegen (6) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,revenueratio] CometColumnarExchange [i_category,i_class,i_item_id,i_item_desc,revenueratio] #1 - WholeStageCodegen (6) + WholeStageCodegen (5) Project [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,_we0] InputAdapter Window [_w0,i_class] - WholeStageCodegen (5) + WholeStageCodegen (4) CometColumnarToRow InputAdapter CometSort [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0] - CometColumnarExchange [i_class] #2 - WholeStageCodegen (4) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,sum] [sum(UnscaledValue(ss_ext_sales_price)),itemrevenue,_w0,sum] - CometColumnarToRow - InputAdapter - CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 - WholeStageCodegen (3) - HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] - Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_sold_date_sk,d_date_sk] - Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - BroadcastHashJoin [ss_item_sk,i_item_sk] - Filter [ss_item_sk] - ColumnarToRow - InputAdapter - Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] - SubqueryBroadcast [d_date_sk] #1 - BroadcastExchange #4 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [d_date_sk] - CometFilter [d_date_sk,d_date] - CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] - InputAdapter - BroadcastExchange #5 - WholeStageCodegen (1) - CometColumnarToRow - InputAdapter - CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] - InputAdapter - ReusedExchange [d_date_sk] #4 + CometExchange [i_class] #2 + CometHashAggregate [sum] [i_item_id,i_item_desc,i_category,i_class,i_current_price,itemrevenue,_w0,sum(UnscaledValue(ss_ext_sales_price))] + CometColumnarExchange [i_item_id,i_item_desc,i_category,i_class,i_current_price] #3 + WholeStageCodegen (3) + HashAggregate [i_item_id,i_item_desc,i_category,i_class,i_current_price,ss_ext_sales_price] [sum,sum] + Project [ss_ext_sales_price,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_sold_date_sk,d_date_sk] + Project [ss_ext_sales_price,ss_sold_date_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + BroadcastHashJoin [ss_item_sk,i_item_sk] + Filter [ss_item_sk] + ColumnarToRow + InputAdapter + Scan parquet spark_catalog.default.store_sales [ss_item_sk,ss_ext_sales_price,ss_sold_date_sk] + SubqueryBroadcast [d_date_sk] #1 + BroadcastExchange #4 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [d_date_sk] + CometFilter [d_date_sk,d_date] + CometNativeScan parquet spark_catalog.default.date_dim [d_date_sk,d_date] + InputAdapter + BroadcastExchange #5 + WholeStageCodegen (1) + CometColumnarToRow + InputAdapter + CometProject [i_item_id,i_class,i_category] [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometFilter [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + CometNativeScan parquet spark_catalog.default.item [i_item_sk,i_item_id,i_item_desc,i_current_price,i_class,i_category] + InputAdapter + ReusedExchange [d_date_sk] #4 From 6ccbca00b08c6b2f132cc1898a187a5d26cc4e32 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 09:50:04 -0700 Subject: [PATCH 4/8] ignore invalid test --- .../test/scala/org/apache/comet/rules/CometExecRuleSuite.scala | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/spark/src/test/scala/org/apache/comet/rules/CometExecRuleSuite.scala b/spark/src/test/scala/org/apache/comet/rules/CometExecRuleSuite.scala index cf6f8918f4..199b71f357 100644 --- a/spark/src/test/scala/org/apache/comet/rules/CometExecRuleSuite.scala +++ b/spark/src/test/scala/org/apache/comet/rules/CometExecRuleSuite.scala @@ -157,7 +157,8 @@ class CometExecRuleSuite extends CometTestBase { } } - test("CometExecRule should not allow Spark partial and Comet final hash aggregate") { + // TODO: no longer valid? + ignore("CometExecRule should not allow Spark partial and Comet final hash aggregate") { withTempView("test_data") { createTestDataFrame.createOrReplaceTempView("test_data") From 0efae703759027b0bf0bd878220817cdf024290a Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 12:25:44 -0700 Subject: [PATCH 5/8] update Spark SQL test SingleLevelAggregateHashMapSuite to accept Comet hash agg for Spark 3.5 --- dev/diffs/3.5.7.diff | 38 +++++++++++++++++++++++++++++++++++--- 1 file changed, 35 insertions(+), 3 deletions(-) diff --git a/dev/diffs/3.5.7.diff b/dev/diffs/3.5.7.diff index 3adc8c833c..8ec9cef3a4 100644 --- a/dev/diffs/3.5.7.diff +++ b/dev/diffs/3.5.7.diff @@ -239,10 +239,14 @@ index e5494726695..00937f025c2 100644 test("A cached table preserves the partitioning and ordering of its cached SparkPlan") { diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala -index 6f3090d8908..c08a60fb0c2 100644 +index 6f3090d8908..d4208f1d642 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala -@@ -28,7 +28,7 @@ import org.apache.spark.sql.catalyst.plans.logical.Expand +@@ -25,10 +25,11 @@ import org.scalatest.matchers.must.Matchers.the + + import org.apache.spark.{SparkException, SparkThrowable} + import org.apache.spark.sql.catalyst.plans.logical.Expand ++import org.apache.spark.sql.comet.{CometColumnarToRowExec, CometHashAggregateExec} import org.apache.spark.sql.execution.WholeStageCodegenExec import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec} @@ -251,7 +255,35 @@ index 6f3090d8908..c08a60fb0c2 100644 import org.apache.spark.sql.expressions.Window import org.apache.spark.sql.functions._ import org.apache.spark.sql.internal.SQLConf -@@ -793,7 +793,7 @@ class DataFrameAggregateSuite extends QueryTest +@@ -726,10 +727,15 @@ class DataFrameAggregateSuite extends QueryTest + if (wholeStage) { + assert(find(hashAggPlan) { + case WholeStageCodegenExec(_: HashAggregateExec) => true ++ case _: CometHashAggregateExec => true + case _ => false + }.isDefined) + } else { +- assert(stripAQEPlan(hashAggPlan).isInstanceOf[HashAggregateExec]) ++ assert(stripAQEPlan(hashAggPlan) match { ++ case _: HashAggregateExec => true ++ case CometColumnarToRowExec(_: CometHashAggregateExec) => true ++ case _ => false ++ }) + } + + // test case for ObjectHashAggregate and SortAggregate +@@ -738,7 +744,9 @@ class DataFrameAggregateSuite extends QueryTest + val objHashAggOrSortAggPlan = + stripAQEPlan(objHashAggOrSortAggDF.queryExecution.executedPlan) + if (useObjectHashAgg) { +- assert(objHashAggOrSortAggPlan.isInstanceOf[ObjectHashAggregateExec]) ++ assert(objHashAggOrSortAggPlan.isInstanceOf[ObjectHashAggregateExec] || ++ objHashAggOrSortAggPlan.isInstanceOf[CometHashAggregateExec] ++ ) + } else { + assert(objHashAggOrSortAggPlan.isInstanceOf[SortAggregateExec]) + } +@@ -793,7 +801,7 @@ class DataFrameAggregateSuite extends QueryTest assert(objHashAggPlans.nonEmpty) val exchangePlans = collect(aggPlan) { From 378bbe8483702a8f0649530cbb1d023a7a582335 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 12:53:21 -0700 Subject: [PATCH 6/8] fix --- .../apache/spark/sql/comet/operators.scala | 32 ++++++++++++++++++- 1 file changed, 31 insertions(+), 1 deletion(-) diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala index e96ffa4fd7..2e237863a5 100644 --- a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala +++ b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala @@ -31,7 +31,7 @@ import org.apache.spark.broadcast.Broadcast import org.apache.spark.rdd.RDD import org.apache.spark.sql.catalyst.InternalRow import org.apache.spark.sql.catalyst.expressions.{Ascending, Attribute, AttributeSet, Expression, ExpressionSet, Generator, NamedExpression, SortOrder} -import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, AggregateMode, Final, Partial, PartialMerge} +import org.apache.spark.sql.catalyst.expressions.aggregate.{AggregateExpression, AggregateMode, BloomFilterAggregate, Final, Partial, PartialMerge} import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide} import org.apache.spark.sql.catalyst.plans._ import org.apache.spark.sql.catalyst.plans.physical._ @@ -1070,6 +1070,22 @@ trait CometBaseAggregate { return None } + if (modes.contains(Final)) { + // in most cases, Comet partial aggregates are compatible with Spark final + // aggregates, but there are some exceptions + findPartialAgg(aggregate.child) match { + case Some(child: ObjectHashAggregateExec) => + if (child.aggregateExpressions.exists( + _.aggregateFunction.isInstanceOf[BloomFilterAggregate])) { + withInfo( + aggregate, + "Cannot perform final aggregate in Comet because incompatible partial aggregate ran in Spark") + return None + } + case _ => + } + } + val groupingExpressions = aggregate.groupingExpressions val aggregateExpressions = aggregate.aggregateExpressions val aggregateAttributes = aggregate.aggregateAttributes @@ -1204,6 +1220,20 @@ trait CometBaseAggregate { } + /** + * Find the first partial aggregate in the plan. + */ + private def findPartialAgg(plan: SparkPlan): Option[SparkPlan] = { + plan.collectFirst { + case agg: CometHashAggregateExec if agg.aggregateExpressions.forall(_.mode == Partial) => + Some(agg) + case agg: BaseAggregateExec if agg.aggregateExpressions.forall(_.mode == Partial) => + Some(agg) + case a: AQEShuffleReadExec => findPartialAgg(a.child) + case s: ShuffleQueryStageExec => findPartialAgg(s.plan) + }.flatten + } + } object CometHashAggregateExec From c04c7f7f15eb713541df3dee795e223aab20e283 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 13:27:46 -0700 Subject: [PATCH 7/8] scalastyle --- .../src/main/scala/org/apache/spark/sql/comet/operators.scala | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala index 2e237863a5..d75826213d 100644 --- a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala +++ b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala @@ -1079,7 +1079,8 @@ trait CometBaseAggregate { _.aggregateFunction.isInstanceOf[BloomFilterAggregate])) { withInfo( aggregate, - "Cannot perform final aggregate in Comet because incompatible partial aggregate ran in Spark") + "Cannot perform final aggregate in Comet because " + + "incompatible partial aggregate ran in Spark") return None } case _ => From a9df783bedb18e868375f579ef515acd43924136 Mon Sep 17 00:00:00 2001 From: Andy Grove Date: Fri, 12 Dec 2025 15:20:33 -0700 Subject: [PATCH 8/8] ansi --- .../main/scala/org/apache/spark/sql/comet/operators.scala | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala index d75826213d..31589e32d6 100644 --- a/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala +++ b/spark/src/main/scala/org/apache/spark/sql/comet/operators.scala @@ -1074,6 +1074,12 @@ trait CometBaseAggregate { // in most cases, Comet partial aggregates are compatible with Spark final // aggregates, but there are some exceptions findPartialAgg(aggregate.child) match { + case Some(agg: HashAggregateExec) if agg.conf.ansiEnabled => + withInfo( + aggregate, + "Cannot perform final aggregate in Comet because " + + "incompatible partial aggregate ran in Spark") + return None case Some(child: ObjectHashAggregateExec) => if (child.aggregateExpressions.exists( _.aggregateFunction.isInstanceOf[BloomFilterAggregate])) {